Update bible submodule

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

audit/cmd/bee/main.go

@@ -382,9 +382,9 @@ func runSAT(args []string, stdout, stderr io.Writer) int {
 			archive, err = application.RunNvidiaAcceptancePack("", logLine)
 		}
 	case "memory":
-		archive, err = application.RunMemoryAcceptancePackCtx(context.Background(), "", logLine)
+		archive, err = application.RunMemoryAcceptancePackCtx(context.Background(), "", 256, 1, logLine)
 	case "storage":
-		archive, err = application.RunStorageAcceptancePackCtx(context.Background(), "", logLine)
+		archive, err = application.RunStorageAcceptancePackCtx(context.Background(), "", false, logLine)
 	case "cpu":
 		dur := *duration
 		if dur <= 0 {

audit/internal/app/app.go

@@ -122,8 +122,10 @@ type satRunner interface {
 	RunNvidiaPulseTestPack(ctx context.Context, baseDir string, durationSec int, gpuIndices []int, logFunc func(string)) (string, error)
 	RunNvidiaBandwidthPack(ctx context.Context, baseDir string, gpuIndices []int, logFunc func(string)) (string, error)
 	RunNvidiaStressPack(ctx context.Context, baseDir string, opts platform.NvidiaStressOptions, logFunc func(string)) (string, error)
-	RunMemoryAcceptancePack(ctx context.Context, baseDir string, logFunc func(string)) (string, error)
+	ListNvidiaGPUStatuses() ([]platform.NvidiaGPUStatus, error)
-	RunStorageAcceptancePack(ctx context.Context, baseDir string, logFunc func(string)) (string, error)
+	ResetNvidiaGPU(index int) (string, error)
+	RunMemoryAcceptancePack(ctx context.Context, baseDir string, sizeMB, passes int, logFunc func(string)) (string, error)
+	RunStorageAcceptancePack(ctx context.Context, baseDir string, extended bool, logFunc func(string)) (string, error)
 	RunCPUAcceptancePack(ctx context.Context, baseDir string, durationSec int, logFunc func(string)) (string, error)
 	ListNvidiaGPUs() ([]platform.NvidiaGPU, error)
 	DetectGPUVendor() string
@@ -137,6 +139,7 @@ type satRunner interface {
 	RunFanStressTest(ctx context.Context, baseDir string, opts platform.FanStressOptions) (string, error)
 	RunPlatformStress(ctx context.Context, baseDir string, opts platform.PlatformStressOptions, logFunc func(string)) (string, error)
 	RunNCCLTests(ctx context.Context, baseDir string, logFunc func(string)) (string, error)
+	RunHPL(ctx context.Context, baseDir string, opts platform.HPLOptions, logFunc func(string)) (string, *platform.HPLResult, error)
 }
 
 type runtimeChecker interface {
@@ -521,6 +524,15 @@ func (a *App) ListNvidiaGPUs() ([]platform.NvidiaGPU, error) {
 	return a.sat.ListNvidiaGPUs()
 }
 
+func (a *App) ListNvidiaGPUStatuses() ([]platform.NvidiaGPUStatus, error) {
+	return a.sat.ListNvidiaGPUStatuses()
+}
+
+func (a *App) ResetNvidiaGPU(index int) (ActionResult, error) {
+	out, err := a.sat.ResetNvidiaGPU(index)
+	return ActionResult{Title: fmt.Sprintf("Reset NVIDIA GPU %d", index), Body: strings.TrimSpace(out)}, err
+}
+
 func (a *App) RunNvidiaAcceptancePackWithOptions(ctx context.Context, baseDir string, diagLevel int, gpuIndices []int, logFunc func(string)) (ActionResult, error) {
 	if strings.TrimSpace(baseDir) == "" {
 		baseDir = DefaultSATBaseDir
@@ -591,14 +603,14 @@ func (a *App) RunNvidiaStressPackCtx(ctx context.Context, baseDir string, opts p
 }
 
 func (a *App) RunMemoryAcceptancePack(baseDir string, logFunc func(string)) (string, error) {
-	return a.RunMemoryAcceptancePackCtx(context.Background(), baseDir, logFunc)
+	return a.RunMemoryAcceptancePackCtx(context.Background(), baseDir, 256, 1, logFunc)
 }
 
-func (a *App) RunMemoryAcceptancePackCtx(ctx context.Context, baseDir string, logFunc func(string)) (string, error) {
+func (a *App) RunMemoryAcceptancePackCtx(ctx context.Context, baseDir string, sizeMB, passes int, logFunc func(string)) (string, error) {
 	if strings.TrimSpace(baseDir) == "" {
 		baseDir = DefaultSATBaseDir
 	}
-	return a.sat.RunMemoryAcceptancePack(ctx, baseDir, logFunc)
+	return a.sat.RunMemoryAcceptancePack(ctx, baseDir, sizeMB, passes, logFunc)
 }
 
 func (a *App) RunMemoryAcceptancePackResult(baseDir string) (ActionResult, error) {
@@ -623,14 +635,14 @@ func (a *App) RunCPUAcceptancePackResult(baseDir string, durationSec int) (Actio
 }
 
 func (a *App) RunStorageAcceptancePack(baseDir string, logFunc func(string)) (string, error) {
-	return a.RunStorageAcceptancePackCtx(context.Background(), baseDir, logFunc)
+	return a.RunStorageAcceptancePackCtx(context.Background(), baseDir, false, logFunc)
 }
 
-func (a *App) RunStorageAcceptancePackCtx(ctx context.Context, baseDir string, logFunc func(string)) (string, error) {
+func (a *App) RunStorageAcceptancePackCtx(ctx context.Context, baseDir string, extended bool, logFunc func(string)) (string, error) {
 	if strings.TrimSpace(baseDir) == "" {
 		baseDir = DefaultSATBaseDir
 	}
-	return a.sat.RunStorageAcceptancePack(ctx, baseDir, logFunc)
+	return a.sat.RunStorageAcceptancePack(ctx, baseDir, extended, logFunc)
 }
 
 func (a *App) RunStorageAcceptancePackResult(baseDir string) (ActionResult, error) {
@@ -726,6 +738,13 @@ func (a *App) RunNCCLTestsResult(ctx context.Context) (ActionResult, error) {
 	return ActionResult{Title: "NCCL bandwidth test", Body: body}, err
 }
 
+func (a *App) RunHPL(ctx context.Context, baseDir string, opts platform.HPLOptions, logFunc func(string)) (string, *platform.HPLResult, error) {
+	if a == nil {
+		return "", nil, fmt.Errorf("app not configured")
+	}
+	return a.sat.RunHPL(ctx, baseDir, opts, logFunc)
+}
+
 func (a *App) RunFanStressTestResult(ctx context.Context, opts platform.FanStressOptions) (ActionResult, error) {
 	path, err := a.RunFanStressTest(ctx, "", opts)
 	body := formatFanStressResult(path)

audit/internal/app/app_test.go

@@ -135,6 +135,8 @@ type fakeSAT struct {
 	listAMDGPUsFn             func() ([]platform.AMDGPUInfo, error)
 	runAMDPackFn              func(string) (string, error)
 	listNvidiaGPUsFn          func() ([]platform.NvidiaGPU, error)
+	listNvidiaGPUStatusesFn   func() ([]platform.NvidiaGPUStatus, error)
+	resetNvidiaGPUFn          func(int) (string, error)
 }
 
 func (f fakeSAT) RunNvidiaAcceptancePack(baseDir string, _ func(string)) (string, error) {
@@ -201,11 +203,25 @@ func (f fakeSAT) ListNvidiaGPUs() ([]platform.NvidiaGPU, error) {
 	return nil, nil
 }
 
-func (f fakeSAT) RunMemoryAcceptancePack(_ context.Context, baseDir string, _ func(string)) (string, error) {
+func (f fakeSAT) ListNvidiaGPUStatuses() ([]platform.NvidiaGPUStatus, error) {
+	if f.listNvidiaGPUStatusesFn != nil {
+		return f.listNvidiaGPUStatusesFn()
+	}
+	return nil, nil
+}
+
+func (f fakeSAT) ResetNvidiaGPU(index int) (string, error) {
+	if f.resetNvidiaGPUFn != nil {
+		return f.resetNvidiaGPUFn(index)
+	}
+	return "", nil
+}
+
+func (f fakeSAT) RunMemoryAcceptancePack(_ context.Context, baseDir string, _, _ int, _ func(string)) (string, error) {
 	return f.runMemoryFn(baseDir)
 }
 
-func (f fakeSAT) RunStorageAcceptancePack(_ context.Context, baseDir string, _ func(string)) (string, error) {
+func (f fakeSAT) RunStorageAcceptancePack(_ context.Context, baseDir string, _ bool, _ func(string)) (string, error) {
 	return f.runStorageFn(baseDir)
 }
 
@@ -266,6 +282,9 @@ func (f fakeSAT) RunPlatformStress(_ context.Context, _ string, _ platform.Platf
 func (f fakeSAT) RunNCCLTests(_ context.Context, _ string, _ func(string)) (string, error) {
 	return "", nil
 }
+func (f fakeSAT) RunHPL(_ context.Context, _ string, _ platform.HPLOptions, _ func(string)) (string, *platform.HPLResult, error) {
+	return "", nil, nil
+}
 
 func TestNetworkStatusFormatsInterfacesAndRoute(t *testing.T) {
 	t.Parallel()
@@ -805,6 +824,9 @@ func TestBuildSupportBundleIncludesExportDirContents(t *testing.T) {
 	for _, want := range []string{
 		"/system/ip-link.txt",
 		"/system/ip-link-stats.txt",
+		"/system/kernel-aer-nvidia.txt",
+		"/system/lspci-nvidia-bridges-vv.txt",
+		"/system/pcie-aer-sysfs.txt",
 		"/system/ethtool-info.txt",
 		"/system/ethtool-link.txt",
 		"/system/ethtool-module.txt",

audit/internal/app/sat_overlay.go

@@ -3,6 +3,7 @@ package app
 import (
 	"os"
 	"path/filepath"
+	"strconv"
 	"sort"
 	"strings"
 
@@ -18,6 +19,7 @@ func applyLatestSATStatuses(snap *schema.HardwareSnapshot, baseDir string, db *C
 	}
 	if summary, ok := loadLatestSATSummary(baseDir, "gpu-nvidia-"); ok {
 		applyGPUVendorSAT(snap.PCIeDevices, "nvidia", summary)
+		applyNvidiaPerGPUStatus(snap.PCIeDevices, baseDir)
 	}
 	if summary, ok := loadLatestSATSummary(baseDir, "memory-"); ok {
 		applyMemorySAT(snap.Memory, summary)
@@ -32,6 +34,100 @@ func applyLatestSATStatuses(snap *schema.HardwareSnapshot, baseDir string, db *C
 	applyComponentStatusDB(snap, db)
 }
 
+type nvidiaPerGPUStatus struct {
+	runStatus string
+	reason    string
+}
+
+func applyNvidiaPerGPUStatus(devs []schema.HardwarePCIeDevice, baseDir string) {
+	statusByIndex, ts, ok := loadLatestNvidiaPerGPUStatus(baseDir)
+	if !ok {
+		return
+	}
+	for i := range devs {
+		if devs[i].Telemetry == nil {
+			continue
+		}
+		rawIdx, ok := devs[i].Telemetry["nvidia_gpu_index"]
+		if !ok {
+			continue
+		}
+		idx, ok := telemetryInt(rawIdx)
+		if !ok {
+			continue
+		}
+		st, ok := statusByIndex[idx]
+		if !ok {
+			continue
+		}
+		status, description, ok := satKeyStatus(st.runStatus, firstNonEmpty(strings.TrimSpace(st.reason), "nvidia GPU SAT"))
+		if !ok {
+			continue
+		}
+		mergeComponentStatusPreferDetail(&devs[i].HardwareComponentStatus, ts, status, description)
+	}
+}
+
+func loadLatestNvidiaPerGPUStatus(baseDir string) (map[int]nvidiaPerGPUStatus, string, bool) {
+	matches, err := filepath.Glob(filepath.Join(baseDir, "gpu-nvidia-*"))
+	if err != nil || len(matches) == 0 {
+		return nil, "", false
+	}
+	sort.Strings(matches)
+	runDir := matches[len(matches)-1]
+	summaryRaw, err := os.ReadFile(filepath.Join(runDir, "summary.txt"))
+	if err != nil {
+		return nil, "", false
+	}
+	summaryKV := parseKeyValueSummary(string(summaryRaw))
+	runAtUTC := strings.TrimSpace(summaryKV["run_at_utc"])
+	files, err := filepath.Glob(filepath.Join(runDir, "gpu-*-status.txt"))
+	if err != nil || len(files) == 0 {
+		return nil, "", false
+	}
+	out := make(map[int]nvidiaPerGPUStatus, len(files))
+	for _, file := range files {
+		raw, err := os.ReadFile(file)
+		if err != nil {
+			continue
+		}
+		kv := parseKeyValueSummary(string(raw))
+		idx, err := strconv.Atoi(strings.TrimSpace(kv["gpu_index"]))
+		if err != nil {
+			continue
+		}
+		out[idx] = nvidiaPerGPUStatus{
+			runStatus: strings.ToUpper(strings.TrimSpace(kv["run_status"])),
+			reason:    strings.TrimSpace(kv["reason"]),
+		}
+	}
+	if len(out) == 0 {
+		return nil, "", false
+	}
+	return out, runAtUTC, true
+}
+
+func telemetryInt(v any) (int, bool) {
+	switch value := v.(type) {
+	case int:
+		return value, true
+	case int32:
+		return int(value), true
+	case int64:
+		return int(value), true
+	case float64:
+		return int(value), true
+	case string:
+		n, err := strconv.Atoi(strings.TrimSpace(value))
+		if err != nil {
+			return 0, false
+		}
+		return n, true
+	default:
+		return 0, false
+	}
+}
+
 type satSummary struct {
 	runAtUTC string
 	overall  string
@@ -176,6 +272,31 @@ func mergeComponentStatus(component *schema.HardwareComponentStatus, changedAt,
 	}
 }
 
+func mergeComponentStatusPreferDetail(component *schema.HardwareComponentStatus, changedAt, satStatus, description string) {
+	if component == nil || satStatus == "" {
+		return
+	}
+	current := strings.TrimSpace(ptrString(component.Status))
+	newSeverity := statusSeverity(satStatus)
+	currentSeverity := statusSeverity(current)
+	if current == "" || current == "Unknown" || newSeverity > currentSeverity {
+		mergeComponentStatus(component, changedAt, satStatus, description)
+		return
+	}
+	if newSeverity == currentSeverity && strings.TrimSpace(description) != "" {
+		component.Status = appStringPtr(satStatus)
+		component.ErrorDescription = appStringPtr(description)
+		if strings.TrimSpace(changedAt) != "" {
+			component.StatusChangedAt = appStringPtr(changedAt)
+			component.StatusHistory = append(component.StatusHistory, schema.HardwareStatusHistory{
+				Status:    satStatus,
+				ChangedAt: changedAt,
+				Details:   appStringPtr(description),
+			})
+		}
+	}
+}
+
 func statusSeverity(status string) int {
 	switch strings.TrimSpace(status) {
 	case "Critical":

audit/internal/app/sat_overlay_test.go

@@ -59,3 +59,51 @@ func TestApplyLatestSATStatusesMarksAMDGPUs(t *testing.T) {
 		t.Fatalf("gpu status=%v want Critical", snap.PCIeDevices[0].Status)
 	}
 }
+
+func TestApplyLatestSATStatusesMarksNvidiaGPUByPerGPUStatusFile(t *testing.T) {
+	baseDir := t.TempDir()
+	runDir := filepath.Join(baseDir, "gpu-nvidia-20260407-162123")
+	if err := os.MkdirAll(runDir, 0755); err != nil {
+		t.Fatal(err)
+	}
+	if err := os.WriteFile(filepath.Join(runDir, "summary.txt"), []byte("run_at_utc=2026-04-07T16:21:23Z\noverall_status=FAILED\n"), 0644); err != nil {
+		t.Fatal(err)
+	}
+	if err := os.WriteFile(filepath.Join(runDir, "gpu-1-status.txt"), []byte("gpu_index=1\ngpu_name=NVIDIA H100 PCIe\nrun_status=FAILED\nreason=GPU requires reset\n"), 0644); err != nil {
+		t.Fatal(err)
+	}
+
+	class := "VideoController"
+	manufacturer := "NVIDIA Corporation"
+	bdf0 := "0000:4b:00.0"
+	bdf1 := "0000:4f:00.0"
+	snap := schema.HardwareSnapshot{
+		PCIeDevices: []schema.HardwarePCIeDevice{
+			{
+				DeviceClass:  &class,
+				Manufacturer: &manufacturer,
+				BDF:          &bdf0,
+				Telemetry:    map[string]any{"nvidia_gpu_index": 0},
+			},
+			{
+				DeviceClass:  &class,
+				Manufacturer: &manufacturer,
+				BDF:          &bdf1,
+				Telemetry:    map[string]any{"nvidia_gpu_index": 1},
+			},
+		},
+	}
+
+	applyLatestSATStatuses(&snap, baseDir, nil)
+
+	if snap.PCIeDevices[1].Status == nil || *snap.PCIeDevices[1].Status != "Critical" {
+		t.Fatalf("gpu1 status=%v want Critical", snap.PCIeDevices[1].Status)
+	}
+	if snap.PCIeDevices[1].ErrorDescription == nil || *snap.PCIeDevices[1].ErrorDescription != "GPU requires reset failed" {
+		got := "<nil>"
+		if snap.PCIeDevices[1].ErrorDescription != nil {
+			got = *snap.PCIeDevices[1].ErrorDescription
+		}
+		t.Fatalf("gpu1 error=%q want per-gpu reason", got)
+	}
+}

audit/internal/app/support_bundle.go

@@ -40,7 +40,36 @@ var supportBundleCommands = []struct {
 	{name: "system/mount.txt", cmd: []string{"mount"}},
 	{name: "system/df-h.txt", cmd: []string{"df", "-h"}},
 	{name: "system/dmesg.txt", cmd: []string{"dmesg"}},
+	{name: "system/kernel-aer-nvidia.txt", cmd: []string{"sh", "-c", `
+if command -v dmesg >/dev/null 2>&1; then
+  dmesg | grep -iE 'AER|NVRM|Xid|pcieport|nvidia' || echo "no AER/NVRM/Xid kernel messages found"
+else
+  echo "dmesg not found"
+fi
+`}},
 	{name: "system/nvidia-smi-q.txt", cmd: []string{"nvidia-smi", "-q"}},
+	{name: "system/lspci-nvidia-bridges-vv.txt", cmd: []string{"sh", "-c", `
+if ! command -v lspci >/dev/null 2>&1; then
+  echo "lspci not found"
+  exit 0
+fi
+found=0
+for gpu in $(lspci -Dn | awk '$3 ~ /^10de:/ {print $1}'); do
+  found=1
+  echo "=== GPU $gpu ==="
+  lspci -s "$gpu" -vv 2>&1 || true
+  bridge=$(basename "$(readlink -f "/sys/bus/pci/devices/$gpu/.." 2>/dev/null)" 2>/dev/null)
+  if [ -n "$bridge" ] && [ "$bridge" != "$gpu" ]; then
+    echo
+    echo "=== UPSTREAM $bridge for $gpu ==="
+    lspci -s "$bridge" -vv 2>&1 || true
+  fi
+  echo
+done
+if [ "$found" -eq 0 ]; then
+  echo "no NVIDIA PCI devices found"
+fi
+`}},
 	{name: "system/pcie-nvidia-link.txt", cmd: []string{"sh", "-c", `
 for d in /sys/bus/pci/devices/*/; do
   vendor=$(cat "$d/vendor" 2>/dev/null)
@@ -51,6 +80,30 @@ for d in /sys/bus/pci/devices/*/; do
     printf "  %-22s %s\n" "$f" "$(cat "$d/$f" 2>/dev/null)"
   done
 done
+`}},
+	{name: "system/pcie-aer-sysfs.txt", cmd: []string{"sh", "-c", `
+found=0
+for dev in /sys/bus/pci/devices/*; do
+  [ -e "$dev" ] || continue
+  bdf=$(basename "$dev")
+  block=""
+  for f in aer_dev_correctable aer_dev_fatal aer_dev_nonfatal aer_rootport_total_err_cor aer_rootport_total_err_fatal aer_rootport_total_err_nonfatal; do
+    if [ -r "$dev/$f" ]; then
+      if [ -z "$block" ]; then
+        block=1
+        found=1
+        echo "=== $bdf ==="
+      fi
+      printf "  %-30s %s\n" "$f" "$(cat "$dev/$f" 2>/dev/null)"
+    fi
+  done
+  if [ -n "$block" ]; then
+    echo
+  fi
+done
+if [ "$found" -eq 0 ]; then
+  echo "no PCIe AER sysfs counters found"
+fi
 `}},
 	{name: "system/ethtool-info.txt", cmd: []string{"sh", "-c", `
 if ! command -v ethtool >/dev/null 2>&1; then

audit/internal/collector/nvidia.go

@@ -13,6 +13,7 @@ import (
 const nvidiaVendorID = 0x10de
 
 type nvidiaGPUInfo struct {
+	Index              int
 	BDF                string
 	Serial             string
 	VBIOS              string
@@ -132,6 +133,7 @@ func parseNVIDIASMIQuery(raw string) (map[string]nvidiaGPUInfo, error) {
 		}
 
 		info := nvidiaGPUInfo{
+			Index:              parseRequiredInt(rec[0]),
 			BDF:                bdf,
 			Serial:             strings.TrimSpace(rec[2]),
 			VBIOS:              strings.TrimSpace(rec[3]),
@@ -187,6 +189,14 @@ func parseMaybeInt(v string) *int {
 	return &n
 }
 
+func parseRequiredInt(v string) int {
+	n, err := strconv.Atoi(strings.TrimSpace(v))
+	if err != nil {
+		return 0
+	}
+	return n
+}
+
 func pcieLinkGenLabel(gen int) string {
 	return fmt.Sprintf("Gen%d", gen)
 }
@@ -240,6 +250,10 @@ func setPCIeFallback(dev *schema.HardwarePCIeDevice) {
 }
 
 func injectNVIDIATelemetry(dev *schema.HardwarePCIeDevice, info nvidiaGPUInfo) {
+	if dev.Telemetry == nil {
+		dev.Telemetry = map[string]any{}
+	}
+	dev.Telemetry["nvidia_gpu_index"] = info.Index
 	if info.TemperatureC != nil {
 		dev.TemperatureC = info.TemperatureC
 	}

audit/internal/collector/nvidia_test.go

@@ -86,6 +86,9 @@ func TestEnrichPCIeWithNVIDIAData_driverLoaded(t *testing.T) {
 	if out[0].Firmware == nil || *out[0].Firmware != "96.00.1F.00.02" {
 		t.Fatalf("firmware: got %v", out[0].Firmware)
 	}
+	if out[0].Telemetry == nil || out[0].Telemetry["nvidia_gpu_index"] != 0 {
+		t.Fatalf("telemetry nvidia_gpu_index: got %#v", out[0].Telemetry)
+	}
 	if out[0].Status == nil || *out[0].Status != statusWarning {
 		t.Fatalf("status: got %v", out[0].Status)
 	}

audit/internal/platform/benchmark.go

@@ -105,7 +105,9 @@ func (s *System) RunNvidiaBenchmark(ctx context.Context, baseDir string, opts Nv
 		BenchmarkVersion:   benchmarkVersion,
 		GeneratedAt:        time.Now().UTC(),
 		Hostname:           hostname,
+		ServerModel:        readServerModel(),
 		BenchmarkProfile:   spec.Name,
+		ParallelGPUs:       opts.ParallelGPUs,
 		SelectedGPUIndices: append([]int(nil), selected...),
 		Normalization: BenchmarkNormalization{
 			Status: "full",
@@ -143,6 +145,10 @@ func (s *System) RunNvidiaBenchmark(ctx context.Context, baseDir string, opts Nv
 		}
 	}()
 
+	if opts.ParallelGPUs {
+		runNvidiaBenchmarkParallel(ctx, verboseLog, runDir, selected, infoByIndex, opts, spec, logFunc, &result, &serverIdleW, &serverLoadedWSum, &serverIdleOK, &serverLoadedOK, &serverLoadedSamples)
+	} else {
+
 	for _, idx := range selected {
 		gpuResult := BenchmarkGPUResult{
 			Index:  idx,
@@ -285,6 +291,8 @@ func (s *System) RunNvidiaBenchmark(ctx context.Context, baseDir string, opts Nv
 		result.GPUs = append(result.GPUs, finalizeBenchmarkGPUResult(gpuResult))
 	}
 
+	} // end sequential path
+
 	if len(selected) > 1 && opts.RunNCCL {
 		result.Interconnect = runBenchmarkInterconnect(ctx, verboseLog, runDir, selected, spec, logFunc)
 		if result.Interconnect != nil && result.Interconnect.Supported {
@@ -318,8 +326,8 @@ func (s *System) RunNvidiaBenchmark(ctx context.Context, baseDir string, opts Nv
 	}
 
 	report := renderBenchmarkReportWithCharts(result, loadBenchmarkReportCharts(runDir, selected))
-	if err := os.WriteFile(filepath.Join(runDir, "report.txt"), []byte(report), 0644); err != nil {
+	if err := os.WriteFile(filepath.Join(runDir, "report.md"), []byte(report), 0644); err != nil {
-		return "", fmt.Errorf("write report.txt: %w", err)
+		return "", fmt.Errorf("write report.md: %w", err)
 	}
 
 	summary := renderBenchmarkSummary(result)
@@ -362,9 +370,29 @@ func resolveBenchmarkProfile(profile string) benchmarkProfileSpec {
 	}
 }
 
+// benchmarkGPUInfoQuery describes a nvidia-smi --query-gpu field set to try.
+// Fields are tried in order; the first successful query wins. Extended fields
+// (attribute.multiprocessor_count, power.default_limit) are not supported on
+// all driver versions, so we fall back to the base set if the full query fails.
+var benchmarkGPUInfoQueries = []struct {
+	fields   string
+	extended bool // whether this query includes optional extended fields
+}{
+	{
+		fields:   "index,uuid,name,pci.bus_id,vbios_version,power.limit,clocks.max.graphics,clocks.max.memory,clocks.base.graphics,attribute.multiprocessor_count,power.default_limit",
+		extended: true,
+	},
+	{
+		fields:   "index,uuid,name,pci.bus_id,vbios_version,power.limit,clocks.max.graphics,clocks.max.memory,clocks.base.graphics",
+		extended: false,
+	},
+}
+
 func queryBenchmarkGPUInfo(gpuIndices []int) (map[int]benchmarkGPUInfo, error) {
+	var lastErr error
+	for _, q := range benchmarkGPUInfoQueries {
 		args := []string{
-		"--query-gpu=index,uuid,name,pci.bus_id,vbios_version,power.limit,clocks.max.graphics,clocks.max.memory,clocks.base.graphics,attribute.multiprocessor_count,power.default_limit",
+			"--query-gpu=" + q.fields,
 			"--format=csv,noheader,nounits",
 		}
 		if len(gpuIndices) > 0 {
@@ -372,7 +400,8 @@ func queryBenchmarkGPUInfo(gpuIndices []int) (map[int]benchmarkGPUInfo, error) {
 		}
 		out, err := satExecCommand("nvidia-smi", args...).Output()
 		if err != nil {
-		return nil, fmt.Errorf("nvidia-smi gpu info: %w", err)
+			lastErr = fmt.Errorf("nvidia-smi gpu info (%s): %w", q.fields[:min(len(q.fields), 40)], err)
+			continue
 		}
 
 		r := csv.NewReader(strings.NewReader(string(out)))
@@ -380,7 +409,8 @@ func queryBenchmarkGPUInfo(gpuIndices []int) (map[int]benchmarkGPUInfo, error) {
 		r.FieldsPerRecord = -1
 		rows, err := r.ReadAll()
 		if err != nil {
-		return nil, fmt.Errorf("parse nvidia-smi gpu info: %w", err)
+			lastErr = fmt.Errorf("parse nvidia-smi gpu info: %w", err)
+			continue
 		}
 
 		infoByIndex := make(map[int]benchmarkGPUInfo, len(rows))
@@ -405,16 +435,21 @@ func queryBenchmarkGPUInfo(gpuIndices []int) (map[int]benchmarkGPUInfo, error) {
 			if len(row) >= 9 {
 				info.BaseGraphicsClockMHz = parseBenchmarkFloat(row[8])
 			}
+			if q.extended {
 				if len(row) >= 10 {
 					info.MultiprocessorCount = int(parseBenchmarkFloat(row[9]))
 				}
 				if len(row) >= 11 {
 					info.DefaultPowerLimitW = parseBenchmarkFloat(row[10])
 				}
+			}
 			infoByIndex[idx] = info
 		}
 		return infoByIndex, nil
 	}
+	return nil, lastErr
+}
+
 
 func applyBenchmarkNormalization(ctx context.Context, verboseLog string, gpuIndices []int, infoByIndex map[int]benchmarkGPUInfo, result *NvidiaBenchmarkResult) []benchmarkRestoreAction {
 	if os.Geteuid() != 0 {
@@ -454,6 +489,10 @@ func applyBenchmarkNormalization(ctx context.Context, verboseLog string, gpuIndi
 					_, _ = runSATCommandCtx(context.Background(), verboseLog, fmt.Sprintf("restore-gpu-%d-rgc", idxCopy), []string{"nvidia-smi", "-i", strconv.Itoa(idxCopy), "-rgc"}, nil, nil)
 				}})
 			}
+		} else {
+			rec.GPUClockLockStatus = "skipped"
+			rec.Notes = append(rec.Notes, "graphics clock lock skipped: gpu inventory unavailable or MaxGraphicsClockMHz=0")
+			result.Normalization.Status = "partial"
 		}
 
 		if info, ok := infoByIndex[idx]; ok && info.MaxMemoryClockMHz > 0 {
@@ -1144,19 +1183,9 @@ func queryIPMIServerPowerW() (float64, error) {
 	if err != nil {
 		return 0, fmt.Errorf("ipmitool dcmi power reading: %w", err)
 	}
-	for _, line := range strings.Split(string(out), "\n") {
+	if w := parseDCMIPowerReading(string(out)); w > 0 {
-		if strings.Contains(line, "Current Power") {
-			parts := strings.SplitN(line, ":", 2)
-			if len(parts) == 2 {
-				val := strings.TrimSpace(strings.TrimSuffix(strings.TrimSpace(parts[1]), "Watts"))
-				val = strings.TrimSpace(val)
-				w, err := strconv.ParseFloat(val, 64)
-				if err == nil && w > 0 {
 		return w, nil
 	}
-			}
-		}
-	}
 	return 0, fmt.Errorf("could not parse ipmitool dcmi power reading output")
 }
 
@@ -1209,3 +1238,246 @@ func characterizeServerPower(idleW, loadedW, gpuReportedSumW float64, ipmiAvaila
 	}
 	return sp
 }
+
+// readServerModel returns the DMI system product name (e.g. "SuperMicro SYS-421GE-TNRT").
+// Returns empty string if unavailable (non-Linux or missing DMI entry).
+func readServerModel() string {
+	data, err := os.ReadFile("/sys/class/dmi/id/product_name")
+	if err != nil {
+		return ""
+	}
+	return strings.TrimSpace(string(data))
+}
+
+// filterRowsByGPU returns only the metric rows for a specific GPU index.
+func filterRowsByGPU(rows []GPUMetricRow, gpuIndex int) []GPUMetricRow {
+	var out []GPUMetricRow
+	for _, r := range rows {
+		if r.GPUIndex == gpuIndex {
+			out = append(out, r)
+		}
+	}
+	return out
+}
+
+// parseBenchmarkBurnLogByGPU splits a multi-GPU bee-gpu-burn output by [gpu N] prefix
+// and returns a per-GPU parse result map.
+func parseBenchmarkBurnLogByGPU(raw string) map[int]benchmarkBurnParseResult {
+	gpuLines := make(map[int][]string)
+	for _, line := range strings.Split(strings.ReplaceAll(raw, "\r\n", "\n"), "\n") {
+		line = strings.TrimSpace(line)
+		if !strings.HasPrefix(line, "[gpu ") {
+			continue
+		}
+		end := strings.Index(line, "] ")
+		if end < 0 {
+			continue
+		}
+		gpuIdx, err := strconv.Atoi(strings.TrimSpace(line[5:end]))
+		if err != nil {
+			continue
+		}
+		gpuLines[gpuIdx] = append(gpuLines[gpuIdx], line[end+2:])
+	}
+	results := make(map[int]benchmarkBurnParseResult, len(gpuLines))
+	for gpuIdx, lines := range gpuLines {
+		// Lines are already stripped of the [gpu N] prefix; parseBenchmarkBurnLog
+		// calls stripBenchmarkPrefix which is a no-op on already-stripped lines.
+		results[gpuIdx] = parseBenchmarkBurnLog(strings.Join(lines, "\n"))
+	}
+	return results
+}
+
+// runNvidiaBenchmarkParallel runs warmup and steady compute on all selected GPUs
+// simultaneously using a single bee-gpu-burn invocation per phase.
+func runNvidiaBenchmarkParallel(
+	ctx context.Context,
+	verboseLog, runDir string,
+	selected []int,
+	infoByIndex map[int]benchmarkGPUInfo,
+	opts NvidiaBenchmarkOptions,
+	spec benchmarkProfileSpec,
+	logFunc func(string),
+	result *NvidiaBenchmarkResult,
+	serverIdleW *float64, serverLoadedWSum *float64,
+	serverIdleOK *bool, serverLoadedOK *bool, serverLoadedSamples *int,
+) {
+	allDevices := joinIndexList(selected)
+
+	// Build per-GPU result stubs.
+	gpuResults := make(map[int]*BenchmarkGPUResult, len(selected))
+	for _, idx := range selected {
+		r := &BenchmarkGPUResult{Index: idx, Status: "FAILED"}
+		if info, ok := infoByIndex[idx]; ok {
+			r.UUID = info.UUID
+			r.Name = info.Name
+			r.BusID = info.BusID
+			r.VBIOS = info.VBIOS
+			r.PowerLimitW = info.PowerLimitW
+			r.MultiprocessorCount = info.MultiprocessorCount
+			r.DefaultPowerLimitW = info.DefaultPowerLimitW
+			r.MaxGraphicsClockMHz = info.MaxGraphicsClockMHz
+			r.BaseGraphicsClockMHz = info.BaseGraphicsClockMHz
+			r.MaxMemoryClockMHz = info.MaxMemoryClockMHz
+		}
+		if norm := findBenchmarkNormalization(result.Normalization.GPUs, idx); norm != nil {
+			r.LockedGraphicsClockMHz = norm.GPUClockLockMHz
+			r.LockedMemoryClockMHz = norm.MemoryClockLockMHz
+		}
+		gpuResults[idx] = r
+	}
+
+	// Baseline: sample all GPUs together.
+	baselineRows, err := collectBenchmarkSamples(ctx, spec.BaselineSec, selected)
+	if err != nil && err != context.Canceled {
+		for _, idx := range selected {
+			gpuResults[idx].Notes = append(gpuResults[idx].Notes, "baseline sampling failed: "+err.Error())
+		}
+	}
+	for _, idx := range selected {
+		perGPU := filterRowsByGPU(baselineRows, idx)
+		gpuResults[idx].Baseline = summarizeBenchmarkTelemetry(perGPU)
+		writeBenchmarkMetricsFiles(runDir, fmt.Sprintf("gpu-%d-baseline", idx), perGPU)
+	}
+
+	// Sample server idle power once.
+	if !*serverIdleOK {
+		if w, ok := sampleIPMIPowerSeries(ctx, maxInt(spec.BaselineSec, 10)); ok {
+			*serverIdleW = w
+			*serverIdleOK = true
+			logFunc(fmt.Sprintf("server idle power (IPMI): %.0f W", w))
+		}
+	}
+
+	// Warmup: all GPUs simultaneously.
+	warmupCmd := []string{
+		"bee-gpu-burn",
+		"--seconds", strconv.Itoa(spec.WarmupSec),
+		"--size-mb", strconv.Itoa(opts.SizeMB),
+		"--devices", allDevices,
+	}
+	logFunc(fmt.Sprintf("GPUs %s: parallel warmup (%ds)", allDevices, spec.WarmupSec))
+	warmupOut, warmupRows, warmupErr := runBenchmarkCommandWithMetrics(ctx, verboseLog, "gpu-all-warmup.log", warmupCmd, nil, selected, runDir, "gpu-all-warmup", logFunc)
+	_ = os.WriteFile(filepath.Join(runDir, "gpu-all-warmup.log"), warmupOut, 0644)
+	for _, idx := range selected {
+		writeBenchmarkMetricsFiles(runDir, fmt.Sprintf("gpu-%d-warmup", idx), filterRowsByGPU(warmupRows, idx))
+	}
+	if warmupErr != nil {
+		for _, idx := range selected {
+			gpuResults[idx].Notes = append(gpuResults[idx].Notes, "parallel warmup failed: "+warmupErr.Error())
+		}
+	}
+
+	// Snapshot throttle counters before steady.
+	beforeThrottle := make(map[int]BenchmarkThrottleCounters, len(selected))
+	for _, idx := range selected {
+		beforeThrottle[idx], _ = queryThrottleCounters(idx)
+	}
+
+	// Steady: all GPUs simultaneously.
+	steadyCmd := []string{
+		"bee-gpu-burn",
+		"--seconds", strconv.Itoa(spec.SteadySec),
+		"--size-mb", strconv.Itoa(opts.SizeMB),
+		"--devices", allDevices,
+	}
+	logFunc(fmt.Sprintf("GPUs %s: parallel steady compute (%ds)", allDevices, spec.SteadySec))
+
+	// Sample server power via IPMI in parallel with steady phase.
+	ipmiStopCh := make(chan struct{})
+	ipmiResultCh := make(chan float64, 1)
+	go func() {
+		defer close(ipmiResultCh)
+		var samples []float64
+		ticker := time.NewTicker(5 * time.Second)
+		defer ticker.Stop()
+		select {
+		case <-ipmiStopCh:
+			return
+		case <-time.After(15 * time.Second):
+		}
+		for {
+			if w, err := queryIPMIServerPowerW(); err == nil {
+				samples = append(samples, w)
+			}
+			select {
+			case <-ipmiStopCh:
+				if len(samples) > 0 {
+					var sum float64
+					for _, w := range samples {
+						sum += w
+					}
+					ipmiResultCh <- sum / float64(len(samples))
+				}
+				return
+			case <-ticker.C:
+			}
+		}
+	}()
+
+	steadyOut, steadyRows, steadyErr := runBenchmarkCommandWithMetrics(ctx, verboseLog, "gpu-all-steady.log", steadyCmd, nil, selected, runDir, "gpu-all-steady", logFunc)
+	close(ipmiStopCh)
+	if loadedW, ok := <-ipmiResultCh; ok {
+		*serverLoadedWSum += loadedW
+		(*serverLoadedSamples)++
+		*serverLoadedOK = true
+		logFunc(fmt.Sprintf("GPUs %s: server loaded power (IPMI): %.0f W", allDevices, loadedW))
+	}
+	_ = os.WriteFile(filepath.Join(runDir, "gpu-all-steady.log"), steadyOut, 0644)
+
+	afterThrottle := make(map[int]BenchmarkThrottleCounters, len(selected))
+	for _, idx := range selected {
+		afterThrottle[idx], _ = queryThrottleCounters(idx)
+	}
+
+	parseResults := parseBenchmarkBurnLogByGPU(string(steadyOut))
+
+	for _, idx := range selected {
+		perGPU := filterRowsByGPU(steadyRows, idx)
+		writeBenchmarkMetricsFiles(runDir, fmt.Sprintf("gpu-%d-steady", idx), perGPU)
+		gpuResults[idx].Steady = summarizeBenchmarkTelemetry(perGPU)
+		gpuResults[idx].Throttle = diffThrottleCounters(beforeThrottle[idx], afterThrottle[idx])
+
+		if pr, ok := parseResults[idx]; ok {
+			gpuResults[idx].ComputeCapability = pr.ComputeCapability
+			gpuResults[idx].Backend = pr.Backend
+			gpuResults[idx].PrecisionResults = pr.Profiles
+			if pr.Fallback {
+				gpuResults[idx].Notes = append(gpuResults[idx].Notes, "benchmark used driver PTX fallback; tensor throughput score is not comparable")
+			}
+		}
+		if steadyErr != nil {
+			gpuResults[idx].Notes = append(gpuResults[idx].Notes, "parallel steady compute failed: "+steadyErr.Error())
+		}
+	}
+
+	// Cooldown: all GPUs together.
+	cooldownRows, err := collectBenchmarkSamples(ctx, spec.CooldownSec, selected)
+	if err != nil && err != context.Canceled {
+		for _, idx := range selected {
+			gpuResults[idx].Notes = append(gpuResults[idx].Notes, "cooldown sampling failed: "+err.Error())
+		}
+	}
+	for _, idx := range selected {
+		perGPU := filterRowsByGPU(cooldownRows, idx)
+		gpuResults[idx].Cooldown = summarizeBenchmarkTelemetry(perGPU)
+		writeBenchmarkMetricsFiles(runDir, fmt.Sprintf("gpu-%d-cooldown", idx), perGPU)
+	}
+
+	// Score and finalize each GPU.
+	for _, idx := range selected {
+		r := gpuResults[idx]
+		r.Scores = scoreBenchmarkGPUResult(*r)
+		r.DegradationReasons = detectBenchmarkDegradationReasons(*r, result.Normalization.Status)
+		pr := parseResults[idx]
+		switch {
+		case steadyErr != nil:
+			r.Status = classifySATErrorStatus(steadyOut, steadyErr)
+		case pr.Fallback:
+			r.Status = "PARTIAL"
+		default:
+			r.Status = "OK"
+		}
+		result.GPUs = append(result.GPUs, finalizeBenchmarkGPUResult(*r))
+	}
+}

audit/internal/platform/benchmark_report.go

@@ -22,18 +22,53 @@ var ansiEscapePattern = regexp.MustCompile(`\x1b\[[0-9;]*m`)
 
 func renderBenchmarkReportWithCharts(result NvidiaBenchmarkResult, charts []benchmarkReportChart) string {
 	var b strings.Builder
-	fmt.Fprintf(&b, "Bee NVIDIA Benchmark Report\n")
-	fmt.Fprintf(&b, "===========================\n\n")
-	fmt.Fprintf(&b, "Generated: %s\n", result.GeneratedAt.Format("2006-01-02 15:04:05 UTC"))
-	fmt.Fprintf(&b, "Host: %s\n", result.Hostname)
-	fmt.Fprintf(&b, "Profile: %s\n", result.BenchmarkProfile)
-	fmt.Fprintf(&b, "Overall status: %s\n", result.OverallStatus)
-	fmt.Fprintf(&b, "Selected GPUs: %s\n", joinIndexList(result.SelectedGPUIndices))
-	fmt.Fprintf(&b, "Normalization: %s\n\n", result.Normalization.Status)
 
+	// ── Header ────────────────────────────────────────────────────────────────
+	b.WriteString("# Bee NVIDIA Benchmark Report\n\n")
+
+	// System identity block
+	if result.ServerModel != "" {
+		fmt.Fprintf(&b, "**Server:** %s  \n", result.ServerModel)
+	}
+	if result.Hostname != "" {
+		fmt.Fprintf(&b, "**Host:** %s  \n", result.Hostname)
+	}
+	// GPU models summary
+	if len(result.GPUs) > 0 {
+		modelCount := make(map[string]int)
+		var modelOrder []string
+		for _, g := range result.GPUs {
+			m := strings.TrimSpace(g.Name)
+			if m == "" {
+				m = "Unknown GPU"
+			}
+			if modelCount[m] == 0 {
+				modelOrder = append(modelOrder, m)
+			}
+			modelCount[m]++
+		}
+		var parts []string
+		for _, m := range modelOrder {
+			if modelCount[m] == 1 {
+				parts = append(parts, m)
+			} else {
+				parts = append(parts, fmt.Sprintf("%d× %s", modelCount[m], m))
+			}
+		}
+		fmt.Fprintf(&b, "**GPU(s):** %s  \n", strings.Join(parts, ", "))
+	}
+	fmt.Fprintf(&b, "**Profile:** %s  \n", result.BenchmarkProfile)
+	fmt.Fprintf(&b, "**App version:** %s  \n", result.BenchmarkVersion)
+	fmt.Fprintf(&b, "**Generated:** %s  \n", result.GeneratedAt.Format("2006-01-02 15:04:05 UTC"))
+	if result.ParallelGPUs {
+		fmt.Fprintf(&b, "**Mode:** parallel (all GPUs simultaneously)  \n")
+	}
+	fmt.Fprintf(&b, "**Overall status:** %s  \n", result.OverallStatus)
+	b.WriteString("\n")
+
+	// ── Executive Summary ─────────────────────────────────────────────────────
 	if len(result.Findings) > 0 {
-		fmt.Fprintf(&b, "Executive Summary\n")
+		b.WriteString("## Executive Summary\n\n")
-		fmt.Fprintf(&b, "-----------------\n")
 		for _, finding := range result.Findings {
 			fmt.Fprintf(&b, "- %s\n", finding)
 		}
@@ -41,150 +76,207 @@ func renderBenchmarkReportWithCharts(result NvidiaBenchmarkResult, charts []benc
 	}
 
 	if len(result.Warnings) > 0 {
-		fmt.Fprintf(&b, "Warnings\n")
+		b.WriteString("## Warnings\n\n")
-		fmt.Fprintf(&b, "--------\n")
 		for _, warning := range result.Warnings {
 			fmt.Fprintf(&b, "- %s\n", warning)
 		}
 		b.WriteString("\n")
 	}
 
-	fmt.Fprintf(&b, "Per GPU Scorecard\n")
+	// ── Scorecard table ───────────────────────────────────────────────────────
-	fmt.Fprintf(&b, "-----------------\n")
+	b.WriteString("## Scorecard\n\n")
+	b.WriteString("| GPU | Status | Composite | Compute | TOPS/SM/GHz | Power Sustain | Thermal Sustain | Stability | Interconnect |\n")
+	b.WriteString("|-----|--------|-----------|---------|-------------|---------------|-----------------|-----------|-------------|\n")
 	for _, gpu := range result.GPUs {
-		fmt.Fprintf(&b, "GPU %d  %s\n", gpu.Index, gpu.Name)
+		name := strings.TrimSpace(gpu.Name)
-		fmt.Fprintf(&b, "  Status: %s\n", gpu.Status)
+		if name == "" {
-		fmt.Fprintf(&b, "  Composite score: %.2f\n", gpu.Scores.CompositeScore)
+			name = "Unknown"
-		fmt.Fprintf(&b, "  Compute score: %.2f\n", gpu.Scores.ComputeScore)
-		if gpu.Scores.TOPSPerSMPerGHz > 0 {
-			fmt.Fprintf(&b, "  Compute efficiency: %.3f TOPS/SM/GHz\n", gpu.Scores.TOPSPerSMPerGHz)
 		}
-		fmt.Fprintf(&b, "  Power sustain: %.1f\n", gpu.Scores.PowerSustainScore)
+		interconnect := "-"
-		fmt.Fprintf(&b, "  Thermal sustain: %.1f\n", gpu.Scores.ThermalSustainScore)
-		fmt.Fprintf(&b, "  Stability: %.1f\n", gpu.Scores.StabilityScore)
 		if gpu.Scores.InterconnectScore > 0 {
-			fmt.Fprintf(&b, "  Interconnect: %.1f\n", gpu.Scores.InterconnectScore)
+			interconnect = fmt.Sprintf("%.1f", gpu.Scores.InterconnectScore)
 		}
-		if len(gpu.DegradationReasons) > 0 {
+		topsPerSM := "-"
-			fmt.Fprintf(&b, "  Degradation reasons: %s\n", strings.Join(gpu.DegradationReasons, ", "))
+		if gpu.Scores.TOPSPerSMPerGHz > 0 {
+			topsPerSM = fmt.Sprintf("%.3f", gpu.Scores.TOPSPerSMPerGHz)
 		}
-		fmt.Fprintf(&b, "  Avg power/temp/clock: %.1f W / %.1f C / %.0f MHz\n", gpu.Steady.AvgPowerW, gpu.Steady.AvgTempC, gpu.Steady.AvgGraphicsClockMHz)
+		fmt.Fprintf(&b, "| GPU %d %s | %s | **%.2f** | %.2f | %s | %.1f | %.1f | %.1f | %s |\n",
-		fmt.Fprintf(&b, "  P95 power/temp/clock: %.1f W / %.1f C / %.0f MHz\n", gpu.Steady.P95PowerW, gpu.Steady.P95TempC, gpu.Steady.P95GraphicsClockMHz)
+			gpu.Index, name,
+			gpu.Status,
+			gpu.Scores.CompositeScore,
+			gpu.Scores.ComputeScore,
+			topsPerSM,
+			gpu.Scores.PowerSustainScore,
+			gpu.Scores.ThermalSustainScore,
+			gpu.Scores.StabilityScore,
+			interconnect,
+		)
+	}
+	b.WriteString("\n")
+
+	// ── Per GPU detail ────────────────────────────────────────────────────────
+	b.WriteString("## Per-GPU Details\n\n")
+	for _, gpu := range result.GPUs {
+		name := strings.TrimSpace(gpu.Name)
+		if name == "" {
+			name = "Unknown GPU"
+		}
+		fmt.Fprintf(&b, "### GPU %d — %s\n\n", gpu.Index, name)
+
+		// Identity
+		if gpu.BusID != "" {
+			fmt.Fprintf(&b, "- **Bus ID:** %s\n", gpu.BusID)
+		}
+		if gpu.VBIOS != "" {
+			fmt.Fprintf(&b, "- **vBIOS:** %s\n", gpu.VBIOS)
+		}
+		if gpu.ComputeCapability != "" {
+			fmt.Fprintf(&b, "- **Compute capability:** %s\n", gpu.ComputeCapability)
+		}
+		if gpu.MultiprocessorCount > 0 {
+			fmt.Fprintf(&b, "- **SMs:** %d\n", gpu.MultiprocessorCount)
+		}
+		if gpu.PowerLimitW > 0 {
+			fmt.Fprintf(&b, "- **Power limit:** %.0f W (default %.0f W)\n", gpu.PowerLimitW, gpu.DefaultPowerLimitW)
+		}
+		if gpu.LockedGraphicsClockMHz > 0 {
+			fmt.Fprintf(&b, "- **Locked clocks:** GPU %.0f MHz / Mem %.0f MHz\n", gpu.LockedGraphicsClockMHz, gpu.LockedMemoryClockMHz)
+		}
+		b.WriteString("\n")
+
+		// Steady-state telemetry
+		fmt.Fprintf(&b, "**Steady-state telemetry** (%ds):\n\n", int(gpu.Steady.DurationSec))
+		b.WriteString("| | Avg | P95 |\n|---|---|---|\n")
+		fmt.Fprintf(&b, "| Power | %.1f W | %.1f W |\n", gpu.Steady.AvgPowerW, gpu.Steady.P95PowerW)
+		fmt.Fprintf(&b, "| Temperature | %.1f °C | %.1f °C |\n", gpu.Steady.AvgTempC, gpu.Steady.P95TempC)
+		fmt.Fprintf(&b, "| GPU clock | %.0f MHz | %.0f MHz |\n", gpu.Steady.AvgGraphicsClockMHz, gpu.Steady.P95GraphicsClockMHz)
+		fmt.Fprintf(&b, "| Memory clock | %.0f MHz | %.0f MHz |\n", gpu.Steady.AvgMemoryClockMHz, gpu.Steady.P95MemoryClockMHz)
+		fmt.Fprintf(&b, "| GPU utilisation | %.1f %% | — |\n", gpu.Steady.AvgUsagePct)
+		b.WriteString("\n")
+
+		// Throttle
+		throttle := formatThrottleLine(gpu.Throttle, gpu.Steady.DurationSec)
+		if throttle != "none" {
+			fmt.Fprintf(&b, "**Throttle:** %s\n\n", throttle)
+		}
+
+		// Precision results
 		if len(gpu.PrecisionResults) > 0 {
-			fmt.Fprintf(&b, "  Precision results:\n")
+			b.WriteString("**Precision results:**\n\n")
-			for _, precision := range gpu.PrecisionResults {
+			b.WriteString("| Precision | TOPS | Lanes | Iterations |\n|-----------|------|-------|------------|\n")
-				if precision.Supported {
+			for _, p := range gpu.PrecisionResults {
-					fmt.Fprintf(&b, "    - %s: %.2f TOPS lanes=%d iterations=%d\n", precision.Name, precision.TeraOpsPerSec, precision.Lanes, precision.Iterations)
+				if p.Supported {
+					fmt.Fprintf(&b, "| %s | %.2f | %d | %d |\n", p.Name, p.TeraOpsPerSec, p.Lanes, p.Iterations)
 				} else {
-					fmt.Fprintf(&b, "    - %s: unsupported (%s)\n", precision.Name, precision.Notes)
+					fmt.Fprintf(&b, "| %s | — (unsupported) | — | — |\n", p.Name)
-				}
-			}
-		}
-		fmt.Fprintf(&b, "  Throttle: %s\n", formatThrottleLine(gpu.Throttle, gpu.Steady.DurationSec))
-		if len(gpu.Notes) > 0 {
-			fmt.Fprintf(&b, "  Notes:\n")
-			for _, note := range gpu.Notes {
-				fmt.Fprintf(&b, "    - %s\n", note)
 				}
 			}
 			b.WriteString("\n")
 		}
 
+		// Degradation / Notes
+		if len(gpu.DegradationReasons) > 0 {
+			fmt.Fprintf(&b, "**Degradation reasons:** %s\n\n", strings.Join(gpu.DegradationReasons, ", "))
+		}
+		if len(gpu.Notes) > 0 {
+			b.WriteString("**Notes:**\n\n")
+			for _, note := range gpu.Notes {
+				fmt.Fprintf(&b, "- %s\n", note)
+			}
+			b.WriteString("\n")
+		}
+	}
+
+	// ── Interconnect ──────────────────────────────────────────────────────────
 	if result.Interconnect != nil {
-		fmt.Fprintf(&b, "Interconnect\n")
+		b.WriteString("## Interconnect (NCCL)\n\n")
-		fmt.Fprintf(&b, "------------\n")
+		fmt.Fprintf(&b, "**Status:** %s\n\n", result.Interconnect.Status)
-		fmt.Fprintf(&b, "Status: %s\n", result.Interconnect.Status)
 		if result.Interconnect.Supported {
-			fmt.Fprintf(&b, "Avg algbw / busbw: %.1f / %.1f GB/s\n", result.Interconnect.AvgAlgBWGBps, result.Interconnect.AvgBusBWGBps)
+			b.WriteString("| Metric | Avg | Max |\n|--------|-----|-----|\n")
-			fmt.Fprintf(&b, "Max algbw / busbw: %.1f / %.1f GB/s\n", result.Interconnect.MaxAlgBWGBps, result.Interconnect.MaxBusBWGBps)
+			fmt.Fprintf(&b, "| Alg BW | %.1f GB/s | %.1f GB/s |\n", result.Interconnect.AvgAlgBWGBps, result.Interconnect.MaxAlgBWGBps)
+			fmt.Fprintf(&b, "| Bus BW | %.1f GB/s | %.1f GB/s |\n", result.Interconnect.AvgBusBWGBps, result.Interconnect.MaxBusBWGBps)
+			b.WriteString("\n")
 		}
 		for _, note := range result.Interconnect.Notes {
 			fmt.Fprintf(&b, "- %s\n", note)
 		}
+		if len(result.Interconnect.Notes) > 0 {
 			b.WriteString("\n")
 		}
+	}
 
+	// ── Server Power (IPMI) ───────────────────────────────────────────────────
+	if sp := result.ServerPower; sp != nil {
+		b.WriteString("## Server Power (IPMI)\n\n")
+		if !sp.Available {
+			b.WriteString("IPMI power measurement unavailable.\n\n")
+		} else {
+			b.WriteString("| | Value |\n|---|---|\n")
+			fmt.Fprintf(&b, "| Server idle | %.0f W |\n", sp.IdleW)
+			fmt.Fprintf(&b, "| Server under load | %.0f W |\n", sp.LoadedW)
+			fmt.Fprintf(&b, "| Server delta (load − idle) | %.0f W |\n", sp.DeltaW)
+			fmt.Fprintf(&b, "| GPU-reported sum | %.0f W |\n", sp.GPUReportedSumW)
+			if sp.ReportingRatio > 0 {
+				fmt.Fprintf(&b, "| Reporting ratio | %.2f (1.0 = accurate, <0.75 = GPU over-reports) |\n", sp.ReportingRatio)
+			}
+			b.WriteString("\n")
+		}
+		for _, note := range sp.Notes {
+			fmt.Fprintf(&b, "- %s\n", note)
+		}
+		if len(sp.Notes) > 0 {
+			b.WriteString("\n")
+		}
+	}
+
+	// ── Terminal charts (steady-state only) ───────────────────────────────────
 	if len(charts) > 0 {
-		fmt.Fprintf(&b, "Terminal Charts\n")
+		b.WriteString("## Steady-State Charts\n\n")
-		fmt.Fprintf(&b, "---------------\n")
 		for _, chart := range charts {
 			content := strings.TrimSpace(stripANSIEscapeSequences(chart.Content))
 			if content == "" {
 				continue
 			}
-			fmt.Fprintf(&b, "%s\n", chart.Title)
+			fmt.Fprintf(&b, "### %s\n\n```\n%s\n```\n\n", chart.Title, content)
-			fmt.Fprintf(&b, "%s\n", strings.Repeat("~", len(chart.Title)))
-			fmt.Fprintf(&b, "%s\n\n", content)
 		}
 	}
 
-	if sp := result.ServerPower; sp != nil {
+	// ── Methodology ───────────────────────────────────────────────────────────
-		fmt.Fprintf(&b, "Server Power (IPMI)\n")
+	b.WriteString("## Methodology\n\n")
-		fmt.Fprintf(&b, "-------------------\n")
+	fmt.Fprintf(&b, "- Profile `%s` uses standardized baseline → warmup → steady-state → interconnect → cooldown phases.\n", result.BenchmarkProfile)
-		if !sp.Available {
+	b.WriteString("- Single-GPU compute score from bee-gpu-burn cuBLASLt when available.\n")
-			fmt.Fprintf(&b, "Unavailable\n")
+	b.WriteString("- Thermal and power limitations inferred from NVIDIA clock event reason counters and sustained telemetry.\n")
-		} else {
+	b.WriteString("- `result.json` is the canonical machine-readable source for this benchmark run.\n\n")
-			fmt.Fprintf(&b, "  Server idle:         %.0f W\n", sp.IdleW)
-			fmt.Fprintf(&b, "  Server under load:   %.0f W\n", sp.LoadedW)
-			fmt.Fprintf(&b, "  Server delta:        %.0f W\n", sp.DeltaW)
-			fmt.Fprintf(&b, "  GPU reported (sum):  %.0f W\n", sp.GPUReportedSumW)
-			if sp.ReportingRatio > 0 {
-				fmt.Fprintf(&b, "  Reporting ratio:     %.2f  (1.0 = accurate, <0.75 = GPU over-reports)\n", sp.ReportingRatio)
-			}
-		}
-		for _, note := range sp.Notes {
-			fmt.Fprintf(&b, "  Note: %s\n", note)
-		}
-		b.WriteString("\n")
-	}
 
-	fmt.Fprintf(&b, "Methodology\n")
+	// ── Raw files ─────────────────────────────────────────────────────────────
-	fmt.Fprintf(&b, "-----------\n")
+	b.WriteString("## Raw Files\n\n")
-	fmt.Fprintf(&b, "- Profile %s uses standardized baseline, warmup, steady-state, interconnect, and cooldown phases.\n", result.BenchmarkProfile)
+	b.WriteString("- `result.json`\n- `report.md`\n- `summary.txt`\n- `verbose.log`\n")
-	fmt.Fprintf(&b, "- Single-GPU compute score comes from bee-gpu-burn cuBLASLt output when available.\n")
+	b.WriteString("- `gpu-*-baseline-metrics.csv/html/term.txt`\n")
-	fmt.Fprintf(&b, "- Thermal and power limitations are inferred from NVIDIA clock event reason counters and sustained telemetry.\n")
+	b.WriteString("- `gpu-*-warmup.log`\n")
-	fmt.Fprintf(&b, "- result.json is the canonical machine-readable source for this benchmark run.\n\n")
+	b.WriteString("- `gpu-*-steady.log`\n")
-
+	b.WriteString("- `gpu-*-steady-metrics.csv/html/term.txt`\n")
-	fmt.Fprintf(&b, "Raw Files\n")
+	b.WriteString("- `gpu-*-cooldown-metrics.csv/html/term.txt`\n")
-	fmt.Fprintf(&b, "---------\n")
-	fmt.Fprintf(&b, "- result.json\n")
-	fmt.Fprintf(&b, "- report.txt\n")
-	fmt.Fprintf(&b, "- summary.txt\n")
-	fmt.Fprintf(&b, "- verbose.log\n")
-	fmt.Fprintf(&b, "- gpu-*-baseline-metrics.csv/html/term.txt\n")
-	fmt.Fprintf(&b, "- gpu-*-warmup.log\n")
-	fmt.Fprintf(&b, "- gpu-*-steady.log\n")
-	fmt.Fprintf(&b, "- gpu-*-steady-metrics.csv/html/term.txt\n")
-	fmt.Fprintf(&b, "- gpu-*-cooldown-metrics.csv/html/term.txt\n")
 	if result.Interconnect != nil {
-		fmt.Fprintf(&b, "- nccl-all-reduce.log\n")
+		b.WriteString("- `nccl-all-reduce.log`\n")
 	}
 	return b.String()
 }
 
+// loadBenchmarkReportCharts loads only steady-state terminal charts (baseline and
+// cooldown charts are not useful for human review).
 func loadBenchmarkReportCharts(runDir string, gpuIndices []int) []benchmarkReportChart {
-	phases := []struct {
-		name  string
-		label string
-	}{
-		{name: "baseline", label: "Baseline"},
-		{name: "steady", label: "Steady State"},
-		{name: "cooldown", label: "Cooldown"},
-	}
 	var charts []benchmarkReportChart
 	for _, idx := range gpuIndices {
-		for _, phase := range phases {
+		path := filepath.Join(runDir, fmt.Sprintf("gpu-%d-steady-metrics-term.txt", idx))
-			path := filepath.Join(runDir, fmt.Sprintf("gpu-%d-%s-metrics-term.txt", idx, phase.name))
 		raw, err := os.ReadFile(path)
 		if err != nil || len(raw) == 0 {
 			continue
 		}
 		charts = append(charts, benchmarkReportChart{
-				Title:   fmt.Sprintf("GPU %d %s", idx, phase.label),
+			Title:   fmt.Sprintf("GPU %d — Steady State", idx),
 			Content: string(raw),
 		})
 	}
-	}
 	return charts
 }
 

audit/internal/platform/benchmark_test.go

@@ -137,8 +137,9 @@ func TestRenderBenchmarkReportIncludesFindingsAndScores(t *testing.T) {
 	for _, needle := range []string{
 		"Executive Summary",
 		"GPU 0 spent measurable time under SW power cap.",
-		"Composite score: 1176.00",
+		"1176.00",
-		"fp16_tensor: 700.00 TOPS",
+		"fp16_tensor",
+		"700.00",
 	} {
 		if !strings.Contains(report, needle) {
 			t.Fatalf("report missing %q\n%s", needle, report)
@@ -164,7 +165,7 @@ func TestRenderBenchmarkReportIncludesTerminalChartsWithoutANSI(t *testing.T) {
 	})
 
 	for _, needle := range []string{
-		"Terminal Charts",
+		"Steady-State Charts",
 		"GPU 0 Steady State",
 		"GPU 0 chart",
 		"42┤───",

audit/internal/platform/benchmark_types.go

@@ -14,13 +14,17 @@ type NvidiaBenchmarkOptions struct {
 	GPUIndices        []int
 	ExcludeGPUIndices []int
 	RunNCCL           bool
+	ParallelGPUs      bool // run all selected GPUs simultaneously instead of sequentially
 }
 
+
 type NvidiaBenchmarkResult struct {
 	BenchmarkVersion   string                       `json:"benchmark_version"`
 	GeneratedAt        time.Time                    `json:"generated_at"`
 	Hostname           string                       `json:"hostname,omitempty"`
+	ServerModel        string                       `json:"server_model,omitempty"`
 	BenchmarkProfile   string                       `json:"benchmark_profile"`
+	ParallelGPUs       bool                         `json:"parallel_gpus,omitempty"`
 	OverallStatus      string                       `json:"overall_status"`
 	SelectedGPUIndices []int                        `json:"selected_gpu_indices"`
 	Findings           []string                     `json:"findings,omitempty"`

audit/internal/platform/hpl.go

@@ -0,0 +1,142 @@
+package platform
+
+import (
+	"context"
+	"fmt"
+	"os"
+	"os/exec"
+	"path/filepath"
+	"strconv"
+	"strings"
+	"time"
+)
+
+// HPLOptions configures the HPL (LINPACK) benchmark run.
+type HPLOptions struct {
+	MemFraction float64 // fraction of RAM to use (default 0.80)
+	NB          int     // block size (default 256)
+}
+
+// HPLResult holds the parsed result of an HPL run.
+type HPLResult struct {
+	N          int     // matrix dimension
+	NB         int     // block size
+	P          int     // process grid rows
+	Q          int     // process grid cols
+	TimeSec    float64 // wall time in seconds
+	GFlops     float64 // achieved performance
+	Residual   float64 // backward error residual (from HPL verification line)
+	Status     string  // "PASSED" or "FAILED"
+	RawOutput  string  // full xhpl output
+}
+
+func applyHPLDefaults(opts *HPLOptions) {
+	if opts.MemFraction <= 0 || opts.MemFraction > 1 {
+		opts.MemFraction = 0.80
+	}
+	if opts.NB <= 0 {
+		opts.NB = 256
+	}
+}
+
+// RunHPL runs bee-hpl and returns parsed results plus a tar.gz artifact path.
+func (s *System) RunHPL(ctx context.Context, baseDir string, opts HPLOptions, logFunc func(string)) (string, *HPLResult, error) {
+	applyHPLDefaults(&opts)
+
+	if baseDir == "" {
+		baseDir = "/var/log/bee-sat"
+	}
+	ts := time.Now().UTC().Format("20060102-150405")
+	runDir := filepath.Join(baseDir, "hpl-"+ts)
+	if err := os.MkdirAll(runDir, 0755); err != nil {
+		return "", nil, fmt.Errorf("mkdir %s: %w", runDir, err)
+	}
+
+	logPath := filepath.Join(runDir, "hpl.log")
+
+	cmd := []string{
+		"bee-hpl",
+		"--mem-fraction", strconv.FormatFloat(opts.MemFraction, 'f', 2, 64),
+		"--nb", strconv.Itoa(opts.NB),
+	}
+
+	if logFunc != nil {
+		logFunc(fmt.Sprintf("HPL: N will be auto-sized to %.0f%% of RAM, NB=%d", opts.MemFraction*100, opts.NB))
+	}
+
+	out, err := runSATCommandCtx(ctx, "", "hpl", cmd, nil, logFunc)
+	_ = os.WriteFile(logPath, out, 0644)
+
+	result := parseHPLOutput(string(out))
+	result.RawOutput = string(out)
+
+	if err != nil && err != context.Canceled {
+		return "", result, fmt.Errorf("bee-hpl failed: %w", err)
+	}
+	if err == nil && result.GFlops <= 0 {
+		return "", result, fmt.Errorf("HPL completed but no Gflops result found in output")
+	}
+
+	// Write summary
+	summary := fmt.Sprintf("N=%d NB=%d time=%.2fs gflops=%.3f status=%s\n",
+		result.N, result.NB, result.TimeSec, result.GFlops, result.Status)
+	_ = os.WriteFile(filepath.Join(runDir, "summary.txt"), []byte(summary), 0644)
+
+	if logFunc != nil {
+		logFunc(fmt.Sprintf("HPL result: N=%d NB=%d %.2fs %.3f Gflops %s",
+			result.N, result.NB, result.TimeSec, result.GFlops, result.Status))
+	}
+
+	ts2 := time.Now().UTC().Format("20060102-150405")
+	archive := filepath.Join(baseDir, "hpl-"+ts2+".tar.gz")
+	if archErr := createTarGz(archive, runDir); archErr != nil {
+		return runDir, result, err
+	}
+	return archive, result, err
+}
+
+// parseHPLOutput extracts N, NB, time, and Gflops from standard HPL output.
+//
+// HPL prints a result line of the form:
+//
+//	WR00L2L2       45312   256     1     1        1234.56             5.678e+01
+//	T/V               N    NB     P     Q           Time                 Gflops
+func parseHPLOutput(output string) *HPLResult {
+	result := &HPLResult{Status: "FAILED"}
+	for _, line := range strings.Split(output, "\n") {
+		line = strings.TrimSpace(line)
+		// Result line starts with WR
+		if strings.HasPrefix(line, "WR") {
+			fields := strings.Fields(line)
+			// WR00L2L2  N  NB  P  Q  Time  Gflops
+			if len(fields) >= 7 {
+				result.N, _ = strconv.Atoi(fields[1])
+				result.NB, _ = strconv.Atoi(fields[2])
+				result.P, _ = strconv.Atoi(fields[3])
+				result.Q, _ = strconv.Atoi(fields[4])
+				result.TimeSec, _ = strconv.ParseFloat(fields[5], 64)
+				result.GFlops, _ = strconv.ParseFloat(fields[6], 64)
+			}
+		}
+		// Verification line: "||Ax-b||_oo/(eps*(||A||_oo*||x||_oo+||b||_oo)*N)= ... PASSED"
+		if strings.Contains(line, "PASSED") {
+			result.Status = "PASSED"
+			fields := strings.Fields(line)
+			for i, f := range fields {
+				if f == "PASSED" && i > 0 {
+					result.Residual, _ = strconv.ParseFloat(fields[i-1], 64)
+				}
+			}
+		}
+	}
+	return result
+}
+
+// hplAvailable returns true if bee-hpl and xhpl are present and executable.
+func hplAvailable() bool {
+	if _, err := exec.LookPath("bee-hpl"); err != nil {
+		return false
+	}
+	_, err := os.Stat("/usr/local/lib/bee/xhpl")
+	return err == nil
+}

audit/internal/platform/install_to_ram.go

@@ -116,25 +116,47 @@ func (s *System) RunInstallToRAM(ctx context.Context, logFunc func(string)) erro
 	if err := ctx.Err(); err != nil {
 		return err
 	}
-	if err := exec.Command("mount", "--bind", dstDir, "/run/live/medium").Run(); err != nil {
+
-		log(fmt.Sprintf("Warning: rebind /run/live/medium failed: %v", err))
+	mediumRebound := false
+	if err := bindMount(dstDir, "/run/live/medium"); err != nil {
+		log(fmt.Sprintf("Warning: rebind /run/live/medium → %s failed: %v", dstDir, err))
+	} else {
+		mediumRebound = true
 	}
 
 	log("Verifying live medium now served from RAM...")
 	status := s.LiveBootSource()
-	if err := verifyInstallToRAMStatus(status); err != nil {
+	if err := verifyInstallToRAMStatus(status, dstDir, mediumRebound, log); err != nil {
 		return err
 	}
+	if status.InRAM {
 		log(fmt.Sprintf("Verification passed: live medium now served from %s.", describeLiveBootSource(status)))
-	log("Done. Installation media can be safely disconnected.")
+	}
+	log("Done. Squashfs files are in RAM. Installation media can be safely disconnected.")
 	return nil
 }
 
-func verifyInstallToRAMStatus(status LiveBootSource) error {
+func verifyInstallToRAMStatus(status LiveBootSource, dstDir string, mediumRebound bool, log func(string)) error {
 	if status.InRAM {
 		return nil
 	}
-	return fmt.Errorf("install to RAM verification failed: live medium still mounted from %s", describeLiveBootSource(status))
+
+	// The live medium mount was not redirected to RAM. This is expected when
+	// booting from an ISO/CD-ROM: the squashfs loop device has a non-zero
+	// offset and LOOP_CHANGE_FD cannot be used; the bind mount also fails
+	// because the CD-ROM mount is in use. Check whether files were at least
+	// copied to the tmpfs directory — that is sufficient for safe disconnection
+	// once the kernel has paged in all actively-used data.
+	files, _ := filepath.Glob(filepath.Join(dstDir, "*.squashfs"))
+	if len(files) > 0 {
+		if !mediumRebound {
+			log(fmt.Sprintf("Note: squashfs copied to RAM (%s) but /run/live/medium still shows the original source.", dstDir))
+			log("This is normal for CD-ROM boots. For a fully transparent RAM boot, add 'toram' to the kernel parameters.")
+		}
+		return nil
+	}
+
+	return fmt.Errorf("install to RAM verification failed: live medium still mounted from %s and no squashfs found in %s", describeLiveBootSource(status), dstDir)
 }
 
 func describeLiveBootSource(status LiveBootSource) string {
@@ -247,7 +269,31 @@ func findLoopForFile(backingFile string) (string, error) {
 	return "", fmt.Errorf("no loop device found for %s", backingFile)
 }
 
+// loopDeviceOffset returns the byte offset configured for the loop device,
+// or -1 if it cannot be determined.
+func loopDeviceOffset(loopDev string) int64 {
+	out, err := exec.Command("losetup", "--json", loopDev).Output()
+	if err != nil {
+		return -1
+	}
+	var result struct {
+		Loopdevices []struct {
+			Offset int64 `json:"offset"`
+		} `json:"loopdevices"`
+	}
+	if err := json.Unmarshal(out, &result); err != nil || len(result.Loopdevices) == 0 {
+		return -1
+	}
+	return result.Loopdevices[0].Offset
+}
+
 func reassociateLoopDevice(loopDev, newFile string) error {
+	// LOOP_CHANGE_FD requires lo_offset == 0. ISO/CD-ROM loop devices are
+	// typically set up with a non-zero offset (squashfs lives inside the ISO),
+	// so the ioctl returns EINVAL. Detect this early for a clear error message.
+	if off := loopDeviceOffset(loopDev); off > 0 {
+		return fmt.Errorf("loop device has non-zero offset (%d bytes, typical for ISO/CD-ROM) — LOOP_CHANGE_FD not supported; use 'toram' kernel parameter for RAM boot", off)
+	}
 	if err := exec.Command("losetup", "--replace", loopDev, newFile).Run(); err == nil {
 		return nil
 	}

audit/internal/platform/install_to_ram_linux.go

@@ -26,3 +26,8 @@ func loopChangeFD(loopDev, newFile string) error {
 	}
 	return nil
 }
+
+// bindMount binds src over dst using the syscall directly (avoids exec PATH issues).
+func bindMount(src, dst string) error {
+	return syscall.Mount(src, dst, "", syscall.MS_BIND, "")
+}

audit/internal/platform/install_to_ram_other.go

@@ -7,3 +7,7 @@ import "errors"
 func loopChangeFD(loopDev, newFile string) error {
 	return errors.New("LOOP_CHANGE_FD not available on this platform")
 }
+
+func bindMount(src, dst string) error {
+	return errors.New("bind mount not available on this platform")
+}

audit/internal/platform/install_to_ram_test.go

@@ -33,14 +33,17 @@ func TestInferLiveBootKind(t *testing.T) {
 func TestVerifyInstallToRAMStatus(t *testing.T) {
 	t.Parallel()
 
-	if err := verifyInstallToRAMStatus(LiveBootSource{InRAM: true, Kind: "ram", Source: "tmpfs"}); err != nil {
+	dstDir := t.TempDir()
+
+	if err := verifyInstallToRAMStatus(LiveBootSource{InRAM: true, Kind: "ram", Source: "tmpfs"}, dstDir, false, nil); err != nil {
 		t.Fatalf("expected success for RAM-backed status, got %v", err)
 	}
-	err := verifyInstallToRAMStatus(LiveBootSource{InRAM: false, Kind: "usb", Device: "/dev/sdb1"})
+
+	err := verifyInstallToRAMStatus(LiveBootSource{InRAM: false, Kind: "usb", Device: "/dev/sdb1"}, dstDir, false, nil)
 	if err == nil {
 		t.Fatal("expected verification failure when media is still on USB")
 	}
-	if got := err.Error(); got != "install to RAM verification failed: live medium still mounted from USB (/dev/sdb1)" {
+	if got := err.Error(); got != "install to RAM verification failed: live medium still mounted from USB (/dev/sdb1) and no squashfs found in "+dstDir {
 		t.Fatalf("error=%q", got)
 	}
 }

audit/internal/platform/sat.go

@@ -88,6 +88,37 @@ type NvidiaGPU struct {
 	MemoryMB int    `json:"memory_mb"`
 }
 
+type NvidiaGPUStatus struct {
+	Index        int    `json:"index"`
+	Name         string `json:"name"`
+	BDF          string `json:"bdf,omitempty"`
+	Serial       string `json:"serial,omitempty"`
+	Status       string `json:"status"`
+	RawLine      string `json:"raw_line,omitempty"`
+	NeedsReset   bool   `json:"needs_reset"`
+	ParseFailure bool   `json:"parse_failure,omitempty"`
+}
+
+type nvidiaGPUHealth struct {
+	Index        int
+	Name         string
+	NeedsReset   bool
+	RawLine      string
+	ParseFailure bool
+}
+
+type nvidiaGPUStatusFile struct {
+	Index       int
+	Name        string
+	RunStatus   string
+	Reason      string
+	Health      string
+	HealthRaw   string
+	Observed    bool
+	Selected    bool
+	FailingJob  string
+}
+
 // AMDGPUInfo holds basic info about an AMD GPU from rocm-smi.
 type AMDGPUInfo struct {
 	Index int    `json:"index"`
@@ -269,6 +300,72 @@ func (s *System) ListNvidiaGPUs() ([]NvidiaGPU, error) {
 	return gpus, nil
 }
 
+func (s *System) ListNvidiaGPUStatuses() ([]NvidiaGPUStatus, error) {
+	out, err := satExecCommand(
+		"nvidia-smi",
+		"--query-gpu=index,name,pci.bus_id,serial,temperature.gpu,power.draw,utilization.gpu,memory.used,memory.total",
+		"--format=csv,noheader,nounits",
+	).Output()
+	if err != nil {
+		return nil, fmt.Errorf("nvidia-smi: %w", err)
+	}
+	var gpus []NvidiaGPUStatus
+	for _, line := range strings.Split(strings.TrimSpace(string(out)), "\n") {
+		line = strings.TrimSpace(line)
+		if line == "" {
+			continue
+		}
+		parts := strings.Split(line, ",")
+		if len(parts) < 4 {
+			gpus = append(gpus, NvidiaGPUStatus{RawLine: line, Status: "UNKNOWN", ParseFailure: true})
+			continue
+		}
+		idx, err := strconv.Atoi(strings.TrimSpace(parts[0]))
+		if err != nil {
+			gpus = append(gpus, NvidiaGPUStatus{RawLine: line, Status: "UNKNOWN", ParseFailure: true})
+			continue
+		}
+		upper := strings.ToUpper(line)
+		needsReset := strings.Contains(upper, "GPU REQUIRES RESET")
+		status := "OK"
+		if needsReset {
+			status = "RESET_REQUIRED"
+		}
+		gpus = append(gpus, NvidiaGPUStatus{
+			Index:      idx,
+			Name:       strings.TrimSpace(parts[1]),
+			BDF:        normalizeNvidiaBusID(strings.TrimSpace(parts[2])),
+			Serial:     strings.TrimSpace(parts[3]),
+			Status:     status,
+			RawLine:    line,
+			NeedsReset: needsReset,
+		})
+	}
+	sort.Slice(gpus, func(i, j int) bool { return gpus[i].Index < gpus[j].Index })
+	return gpus, nil
+}
+
+func normalizeNvidiaBusID(v string) string {
+	v = strings.TrimSpace(strings.ToLower(v))
+	parts := strings.Split(v, ":")
+	if len(parts) == 3 && len(parts[0]) > 4 {
+		parts[0] = parts[0][len(parts[0])-4:]
+		return strings.Join(parts, ":")
+	}
+	return v
+}
+
+func (s *System) ResetNvidiaGPU(index int) (string, error) {
+	if index < 0 {
+		return "", fmt.Errorf("gpu index must be >= 0")
+	}
+	raw, err := satExecCommand("nvidia-smi", "-r", "-i", strconv.Itoa(index)).CombinedOutput()
+	if len(raw) == 0 && err == nil {
+		raw = []byte("GPU reset completed.\n")
+	}
+	return string(raw), err
+}
+
 // RunNCCLTests runs nccl-tests all_reduce_perf across all NVIDIA GPUs.
 // Measures collective communication bandwidth over NVLink/PCIe.
 func (s *System) RunNCCLTests(ctx context.Context, baseDir string, logFunc func(string)) (string, error) {
@@ -434,9 +531,13 @@ func memoryStressSizeArg() string {
 	return fmt.Sprintf("%dM", targetMB)
 }
 
-func (s *System) RunMemoryAcceptancePack(ctx context.Context, baseDir string, logFunc func(string)) (string, error) {
+func (s *System) RunMemoryAcceptancePack(ctx context.Context, baseDir string, sizeMB, passes int, logFunc func(string)) (string, error) {
-	sizeMB := envInt("BEE_MEMTESTER_SIZE_MB", 128)
+	if sizeMB <= 0 {
-	passes := envInt("BEE_MEMTESTER_PASSES", 1)
+		sizeMB = 256
+	}
+	if passes <= 0 {
+		passes = 1
+	}
 	return runAcceptancePackCtx(ctx, baseDir, "memory", []satJob{
 		{name: "01-free-before.log", cmd: []string{"free", "-h"}},
 		{name: "02-memtester.log", cmd: []string{"memtester", fmt.Sprintf("%dM", sizeMB), fmt.Sprintf("%d", passes)}},
@@ -493,7 +594,7 @@ func (s *System) RunCPUAcceptancePack(ctx context.Context, baseDir string, durat
 	}, logFunc)
 }
 
-func (s *System) RunStorageAcceptancePack(ctx context.Context, baseDir string, logFunc func(string)) (string, error) {
+func (s *System) RunStorageAcceptancePack(ctx context.Context, baseDir string, extended bool, logFunc func(string)) (string, error) {
 	if baseDir == "" {
 		baseDir = "/var/log/bee-sat"
 	}
@@ -525,7 +626,7 @@ func (s *System) RunStorageAcceptancePack(ctx context.Context, baseDir string, l
 			break
 		}
 		prefix := fmt.Sprintf("%02d-%s", index+1, filepath.Base(devPath))
-		commands := storageSATCommands(devPath)
+		commands := storageSATCommands(devPath, extended)
 		for cmdIndex, job := range commands {
 			if ctx.Err() != nil {
 				break
@@ -604,7 +705,7 @@ func nvidiaDCGMJobs(diagLevel int, gpuIndices []int) []satJob {
 		satJob{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
 		satJob{name: "02-dmidecode-baseboard.log", cmd: []string{"dmidecode", "-t", "baseboard"}},
 		satJob{name: "03-dmidecode-system.log", cmd: []string{"dmidecode", "-t", "system"}},
-		satJob{name: "04-dcgmi-diag.log", cmd: diagArgs},
+		satJob{name: "04-dcgmi-diag.log", cmd: diagArgs, gpuIndices: gpuIndices},
 	)
 }
 
@@ -652,11 +753,23 @@ func runAcceptancePackCtx(ctx context.Context, baseDir, prefix string, jobs []sa
 
 	var summary strings.Builder
 	stats := satStats{}
+	nvidiaPack := strings.HasPrefix(prefix, "gpu-nvidia")
+	perGPU := map[int]*nvidiaGPUStatusFile{}
+	selectedGPUIndices := map[int]struct{}{}
 	fmt.Fprintf(&summary, "run_at_utc=%s\n", time.Now().UTC().Format(time.RFC3339))
 	for _, job := range jobs {
 		if ctx.Err() != nil {
 			break
 		}
+		for _, idx := range job.gpuIndices {
+			selectedGPUIndices[idx] = struct{}{}
+			status := perGPU[idx]
+			if status == nil {
+				status = &nvidiaGPUStatusFile{Index: idx}
+				perGPU[idx] = status
+			}
+			status.Selected = true
+		}
 		cmd := make([]string, 0, len(job.cmd))
 		for _, arg := range job.cmd {
 			cmd = append(cmd, strings.ReplaceAll(arg, "{{run_dir}}", runDir))
@@ -665,11 +778,38 @@ func runAcceptancePackCtx(ctx context.Context, baseDir, prefix string, jobs []sa
 		var out []byte
 		var err error
 
+		if nvidiaPack && nvidiaJobNeedsHealthCheck(job) {
+			if msg, healthErr := checkNvidiaJobHealth(job.gpuIndices); healthErr != nil {
+				if logFunc != nil {
+					logFunc(msg)
+				}
+				out = []byte(msg + "\n")
+				err = healthErr
+			}
+		}
+
+		if err == nil {
 			if job.collectGPU {
 				out, err = runSATCommandWithMetrics(ctx, verboseLog, job.name, cmd, job.env, job.gpuIndices, runDir, logFunc)
 			} else {
 				out, err = runSATCommandCtx(ctx, verboseLog, job.name, cmd, job.env, logFunc)
 			}
+		}
+
+		if nvidiaPack && nvidiaJobNeedsHealthCheck(job) {
+			if msg, healthErr := checkNvidiaJobHealth(job.gpuIndices); healthErr != nil {
+				if logFunc != nil {
+					logFunc(msg)
+				}
+				if len(out) > 0 && !bytes.HasSuffix(out, []byte("\n")) {
+					out = append(out, '\n')
+				}
+				out = append(out, []byte(msg+"\n")...)
+				if err == nil {
+					err = healthErr
+				}
+			}
+		}
 
 		if writeErr := os.WriteFile(filepath.Join(runDir, job.name), out, 0644); writeErr != nil {
 			return "", writeErr
@@ -679,6 +819,11 @@ func runAcceptancePackCtx(ctx context.Context, baseDir, prefix string, jobs []sa
 		}
 		status, rc := classifySATResult(job.name, out, err)
 		stats.Add(status)
+		if nvidiaPack && len(job.gpuIndices) > 0 && nvidiaJobNeedsHealthCheck(job) {
+			for _, idx := range job.gpuIndices {
+				updateNvidiaGPUStatus(perGPU, idx, status, job.name, string(out))
+			}
+		}
 		key := strings.TrimSuffix(strings.TrimPrefix(job.name, "0"), ".log")
 		fmt.Fprintf(&summary, "%s_rc=%d\n", key, rc)
 		fmt.Fprintf(&summary, "%s_status=%s\n", key, status)
@@ -687,6 +832,11 @@ func runAcceptancePackCtx(ctx context.Context, baseDir, prefix string, jobs []sa
 	if err := os.WriteFile(filepath.Join(runDir, "summary.txt"), []byte(summary.String()), 0644); err != nil {
 		return "", err
 	}
+	if nvidiaPack {
+		if err := writeNvidiaGPUStatusFiles(runDir, stats.Overall(), perGPU, selectedGPUIndices); err != nil {
+			return "", err
+		}
+	}
 
 	archive := filepath.Join(baseDir, prefix+"-"+ts+".tar.gz")
 	if err := createTarGz(archive, runDir); err != nil {
@@ -695,6 +845,197 @@ func runAcceptancePackCtx(ctx context.Context, baseDir, prefix string, jobs []sa
 	return archive, nil
 }
 
+func updateNvidiaGPUStatus(perGPU map[int]*nvidiaGPUStatusFile, idx int, status, jobName, detail string) {
+	entry := perGPU[idx]
+	if entry == nil {
+		entry = &nvidiaGPUStatusFile{Index: idx}
+		perGPU[idx] = entry
+	}
+	if nvidiaSATStatusSeverity(status) >= nvidiaSATStatusSeverity(entry.RunStatus) {
+		entry.RunStatus = status
+		entry.FailingJob = jobName
+		entry.Reason = firstLine(detail)
+	}
+}
+
+func writeNvidiaGPUStatusFiles(runDir, overall string, perGPU map[int]*nvidiaGPUStatusFile, selected map[int]struct{}) error {
+	health, err := readNvidiaGPUHealth()
+	if err == nil {
+		for _, gpu := range health {
+			entry := perGPU[gpu.Index]
+			if entry == nil {
+				entry = &nvidiaGPUStatusFile{Index: gpu.Index}
+				perGPU[gpu.Index] = entry
+			}
+			entry.Name = gpu.Name
+			entry.Observed = true
+			entry.HealthRaw = gpu.RawLine
+			if gpu.NeedsReset {
+				entry.Health = "RESET_REQUIRED"
+				if entry.RunStatus == "" || nvidiaSATStatusSeverity("FAILED") >= nvidiaSATStatusSeverity(entry.RunStatus) {
+					entry.RunStatus = "FAILED"
+					if strings.TrimSpace(entry.Reason) == "" {
+						entry.Reason = "GPU requires reset"
+					}
+				}
+			} else {
+				entry.Health = "OK"
+			}
+		}
+	}
+	for idx := range selected {
+		entry := perGPU[idx]
+		if entry == nil {
+			entry = &nvidiaGPUStatusFile{Index: idx}
+			perGPU[idx] = entry
+		}
+		entry.Selected = true
+	}
+	var indices []int
+	for idx := range perGPU {
+		indices = append(indices, idx)
+	}
+	sort.Ints(indices)
+	for _, idx := range indices {
+		entry := perGPU[idx]
+		if entry.RunStatus == "" {
+			entry.RunStatus = overall
+		}
+		if entry.Health == "" {
+			entry.Health = "UNKNOWN"
+		}
+		if entry.Name == "" {
+			entry.Name = "unknown"
+		}
+		var body strings.Builder
+		fmt.Fprintf(&body, "gpu_index=%d\n", entry.Index)
+		fmt.Fprintf(&body, "gpu_name=%s\n", entry.Name)
+		fmt.Fprintf(&body, "selected=%t\n", entry.Selected)
+		fmt.Fprintf(&body, "observed=%t\n", entry.Observed)
+		fmt.Fprintf(&body, "run_status=%s\n", entry.RunStatus)
+		fmt.Fprintf(&body, "health_status=%s\n", entry.Health)
+		if strings.TrimSpace(entry.FailingJob) != "" {
+			fmt.Fprintf(&body, "failing_job=%s\n", entry.FailingJob)
+		}
+		if strings.TrimSpace(entry.Reason) != "" {
+			fmt.Fprintf(&body, "reason=%s\n", entry.Reason)
+		}
+		if strings.TrimSpace(entry.HealthRaw) != "" {
+			fmt.Fprintf(&body, "health_raw=%s\n", entry.HealthRaw)
+		}
+		if err := os.WriteFile(filepath.Join(runDir, fmt.Sprintf("gpu-%d-status.txt", idx)), []byte(body.String()), 0644); err != nil {
+			return err
+		}
+	}
+	return nil
+}
+
+func nvidiaSATStatusSeverity(status string) int {
+	switch strings.ToUpper(strings.TrimSpace(status)) {
+	case "FAILED":
+		return 3
+	case "PARTIAL", "UNSUPPORTED":
+		return 2
+	case "OK":
+		return 1
+	default:
+		return 0
+	}
+}
+
+func firstLine(s string) string {
+	s = strings.TrimSpace(s)
+	if s == "" {
+		return ""
+	}
+	if idx := strings.IndexByte(s, '\n'); idx >= 0 {
+		return strings.TrimSpace(s[:idx])
+	}
+	return s
+}
+
+func nvidiaJobNeedsHealthCheck(job satJob) bool {
+	if job.collectGPU {
+		return true
+	}
+	name := strings.ToLower(strings.TrimSpace(job.name))
+	return strings.Contains(name, "dcgmi") ||
+		strings.Contains(name, "gpu-burn") ||
+		strings.Contains(name, "gpu-stress") ||
+		strings.Contains(name, "dcgmproftester")
+}
+
+func checkNvidiaJobHealth(selected []int) (string, error) {
+	health, err := readNvidiaGPUHealth()
+	if err != nil {
+		return "", nil
+	}
+	var bad []nvidiaGPUHealth
+	selectedSet := make(map[int]struct{}, len(selected))
+	for _, idx := range selected {
+		selectedSet[idx] = struct{}{}
+	}
+	for _, gpu := range health {
+		if len(selectedSet) > 0 {
+			if _, ok := selectedSet[gpu.Index]; !ok {
+				continue
+			}
+		}
+		if gpu.NeedsReset {
+			bad = append(bad, gpu)
+		}
+	}
+	if len(bad) == 0 {
+		return "", nil
+	}
+	lines := make([]string, 0, len(bad)+1)
+	lines = append(lines, "NVIDIA GPU health check failed:")
+	for _, gpu := range bad {
+		lines = append(lines, fmt.Sprintf("gpu %d (%s) requires reset: %s", gpu.Index, gpu.Name, gpu.RawLine))
+	}
+	return strings.Join(lines, "\n"), errors.New("nvidia gpu requires reset")
+}
+
+func readNvidiaGPUHealth() ([]nvidiaGPUHealth, error) {
+	out, err := satExecCommand(
+		"nvidia-smi",
+		"--query-gpu=index,name,temperature.gpu,power.draw,utilization.gpu,memory.used,memory.total",
+		"--format=csv,noheader,nounits",
+	).Output()
+	if err != nil {
+		return nil, fmt.Errorf("nvidia-smi: %w", err)
+	}
+	return parseNvidiaGPUHealth(string(out)), nil
+}
+
+func parseNvidiaGPUHealth(raw string) []nvidiaGPUHealth {
+	var gpus []nvidiaGPUHealth
+	for _, line := range strings.Split(strings.TrimSpace(raw), "\n") {
+		line = strings.TrimSpace(line)
+		if line == "" {
+			continue
+		}
+		parts := strings.Split(line, ",")
+		if len(parts) < 2 {
+			gpus = append(gpus, nvidiaGPUHealth{RawLine: line, ParseFailure: true})
+			continue
+		}
+		idx, err := strconv.Atoi(strings.TrimSpace(parts[0]))
+		if err != nil {
+			gpus = append(gpus, nvidiaGPUHealth{RawLine: line, ParseFailure: true})
+			continue
+		}
+		upper := strings.ToUpper(line)
+		gpus = append(gpus, nvidiaGPUHealth{
+			Index:      idx,
+			Name:       strings.TrimSpace(parts[1]),
+			NeedsReset: strings.Contains(upper, "GPU REQUIRES RESET"),
+			RawLine:    line,
+		})
+	}
+	return gpus
+}
+
 func runSATCommandCtx(ctx context.Context, verboseLog, name string, cmd []string, env []string, logFunc func(string)) ([]byte, error) {
 	start := time.Now().UTC()
 	resolvedCmd, err := resolveSATCommand(cmd)
@@ -749,17 +1090,25 @@ func listStorageDevices() ([]string, error) {
 	return parseStorageDevices(string(out)), nil
 }
 
-func storageSATCommands(devPath string) []satJob {
+func storageSATCommands(devPath string, extended bool) []satJob {
 	if strings.Contains(filepath.Base(devPath), "nvme") {
+		selfTestLevel := "1"
+		if extended {
+			selfTestLevel = "2"
+		}
 		return []satJob{
 			{name: "nvme-id-ctrl", cmd: []string{"nvme", "id-ctrl", devPath, "-o", "json"}},
 			{name: "nvme-smart-log", cmd: []string{"nvme", "smart-log", devPath, "-o", "json"}},
-			{name: "nvme-device-self-test", cmd: []string{"nvme", "device-self-test", devPath, "-s", "1", "--wait"}},
+			{name: "nvme-device-self-test", cmd: []string{"nvme", "device-self-test", devPath, "-s", selfTestLevel, "--wait"}},
 		}
 	}
+	smartTestType := "short"
+	if extended {
+		smartTestType = "long"
+	}
 	return []satJob{
 		{name: "smartctl-health", cmd: []string{"smartctl", "-H", "-A", devPath}},
-		{name: "smartctl-self-test-short", cmd: []string{"smartctl", "-t", "short", devPath}},
+		{name: "smartctl-self-test-short", cmd: []string{"smartctl", "-t", smartTestType, devPath}},
 	}
 }
 
@@ -818,6 +1167,11 @@ func classifySATResult(name string, out []byte, err error) (string, int) {
 		// nvidia-smi on a machine with no NVIDIA GPU
 		strings.Contains(text, "couldn't communicate with the nvidia driver") ||
 		strings.Contains(text, "no nvidia gpu") ||
+		// Some NVMe firmwares start self-test but never expose progress to nvme-cli
+		// while waiting, so the CLI stops polling without proving device failure.
+		(strings.Contains(name, "self-test") &&
+			strings.Contains(text, "no progress for") &&
+			strings.Contains(text, "stop waiting")) ||
 		(strings.Contains(name, "self-test") && strings.Contains(text, "aborted")) {
 		return "UNSUPPORTED", rc
 	}

audit/internal/platform/sat_fan_stress.go

@@ -20,7 +20,7 @@ type FanStressOptions struct {
 	Phase1DurSec int   // first load phase duration in seconds (default 300)
 	PauseSec     int   // pause between the two load phases (default 60)
 	Phase2DurSec int   // second load phase duration in seconds (default 300)
-	SizeMB       int   // GPU memory to allocate per GPU during stress (default 64)
+	SizeMB       int   // GPU memory to allocate per GPU during stress (0 = auto: 95% of VRAM)
 	GPUIndices   []int // which GPU indices to stress (empty = all detected)
 }
 
@@ -243,9 +243,8 @@ func applyFanStressDefaults(opts *FanStressOptions) {
 	if opts.Phase2DurSec <= 0 {
 		opts.Phase2DurSec = 300
 	}
-	if opts.SizeMB <= 0 {
+	// SizeMB == 0 means "auto" (worker picks 95% of GPU VRAM for maximum power draw).
-		opts.SizeMB = 64
+	// Leave at 0 to avoid passing a too-small size that starves the tensor-core path.
-	}
 }
 
 // sampleFanStressRow collects all metrics for one telemetry sample.

audit/internal/platform/sat_test.go

@@ -14,12 +14,12 @@ import (
 func TestStorageSATCommands(t *testing.T) {
 	t.Parallel()
 
-	nvme := storageSATCommands("/dev/nvme0n1")
+	nvme := storageSATCommands("/dev/nvme0n1", false)
 	if len(nvme) != 3 || nvme[2].cmd[0] != "nvme" {
 		t.Fatalf("unexpected nvme commands: %#v", nvme)
 	}
 
-	sata := storageSATCommands("/dev/sda")
+	sata := storageSATCommands("/dev/sda", false)
 	if len(sata) != 2 || sata[0].cmd[0] != "smartctl" {
 		t.Fatalf("unexpected sata commands: %#v", sata)
 	}
@@ -216,6 +216,74 @@ func TestResolveDCGMGPUIndicesKeepsExplicitSelection(t *testing.T) {
 	}
 }
 
+func TestParseNvidiaGPUHealthDetectsResetRequired(t *testing.T) {
+	t.Parallel()
+
+	got := parseNvidiaGPUHealth("0, NVIDIA H100 PCIe, 38, 46.89, 0, 0, 81559\n1, NVIDIA H100 PCIe, [GPU requires reset], [N/A], [N/A], 0, 81559\n")
+	if len(got) != 2 {
+		t.Fatalf("len=%d want 2", len(got))
+	}
+	if got[0].NeedsReset {
+		t.Fatalf("gpu0 unexpectedly marked reset-required")
+	}
+	if !got[1].NeedsReset {
+		t.Fatalf("gpu1 should be marked reset-required: %#v", got[1])
+	}
+}
+
+func TestCheckNvidiaJobHealthReturnsErrorForSelectedResetRequiredGPU(t *testing.T) {
+	oldExecCommand := satExecCommand
+	satExecCommand = func(name string, args ...string) *exec.Cmd {
+		if name == "nvidia-smi" {
+			return exec.Command("sh", "-c", "printf '0, NVIDIA H100 PCIe, 38, 46.89, 0, 0, 81559\n1, NVIDIA H100 PCIe, [GPU requires reset], [N/A], [N/A], 0, 81559\n'")
+		}
+		return exec.Command(name, args...)
+	}
+	t.Cleanup(func() { satExecCommand = oldExecCommand })
+
+	msg, err := checkNvidiaJobHealth([]int{1})
+	if err == nil {
+		t.Fatal("expected health check error")
+	}
+	if !strings.Contains(msg, "gpu 1") || !strings.Contains(strings.ToLower(msg), "requires reset") {
+		t.Fatalf("unexpected message: %q", msg)
+	}
+}
+
+func TestWriteNvidiaGPUStatusFilesCreatesPerGPUFiles(t *testing.T) {
+	dir := t.TempDir()
+	oldExecCommand := satExecCommand
+	satExecCommand = func(name string, args ...string) *exec.Cmd {
+		if name == "nvidia-smi" {
+			return exec.Command("sh", "-c", "printf '0, NVIDIA H100 PCIe, 38, 46.89, 0, 0, 81559\n1, NVIDIA H100 PCIe, [GPU requires reset], [N/A], [N/A], 0, 81559\n'")
+		}
+		return exec.Command(name, args...)
+	}
+	t.Cleanup(func() { satExecCommand = oldExecCommand })
+
+	perGPU := map[int]*nvidiaGPUStatusFile{
+		0: {Index: 0, RunStatus: "OK"},
+		1: {Index: 1, RunStatus: "FAILED", FailingJob: "02-dcgmi-targeted-stress.log", Reason: "NVIDIA GPU health check failed:"},
+	}
+	if err := writeNvidiaGPUStatusFiles(dir, "FAILED", perGPU, map[int]struct{}{0: {}, 1: {}}); err != nil {
+		t.Fatalf("writeNvidiaGPUStatusFiles error: %v", err)
+	}
+	raw, err := os.ReadFile(filepath.Join(dir, "gpu-1-status.txt"))
+	if err != nil {
+		t.Fatalf("ReadFile gpu-1-status.txt: %v", err)
+	}
+	text := string(raw)
+	if !strings.Contains(text, "run_status=FAILED") {
+		t.Fatalf("missing run status:\n%s", text)
+	}
+	if !strings.Contains(text, "health_status=RESET_REQUIRED") {
+		t.Fatalf("missing health status:\n%s", text)
+	}
+	if !strings.Contains(text, "failing_job=02-dcgmi-targeted-stress.log") {
+		t.Fatalf("missing failing job:\n%s", text)
+	}
+}
+
 func TestResolveDCGMProfTesterCommandUsesVersionedBinary(t *testing.T) {
 	oldLookPath := satLookPath
 	satLookPath = func(file string) (string, error) {
@@ -341,6 +409,7 @@ func TestClassifySATResult(t *testing.T) {
 	}{
 		{name: "ok", job: "memtester", out: "done", err: nil, status: "OK"},
 		{name: "unsupported", job: "smartctl-self-test-short", out: "Self-test not supported", err: errors.New("rc 1"), status: "UNSUPPORTED"},
+		{name: "nvme wait timeout without progress", job: "nvme-device-self-test", out: "Short Device self-test started\nWaiting for self test completion...\nno progress for 78 seconds, stop waiting", err: errors.New("rc 1"), status: "UNSUPPORTED"},
 		{name: "failed", job: "bee-gpu-burn", out: "cuda error", err: errors.New("rc 1"), status: "FAILED"},
 		{name: "cuda not ready", job: "bee-gpu-burn", out: "cuInit failed: CUDA_ERROR_SYSTEM_NOT_READY", err: errors.New("rc 1"), status: "UNSUPPORTED"},
 	}

audit/internal/webui/api.go

@@ -28,6 +28,12 @@ var apiListNvidiaGPUs = func(a *app.App) ([]platform.NvidiaGPU, error) {
 	}
 	return a.ListNvidiaGPUs()
 }
+var apiListNvidiaGPUStatuses = func(a *app.App) ([]platform.NvidiaGPUStatus, error) {
+	if a == nil {
+		return nil, fmt.Errorf("app not configured")
+	}
+	return a.ListNvidiaGPUStatuses()
+}
 
 // ── Job ID counter ────────────────────────────────────────────────────────────
 
@@ -216,7 +222,21 @@ func formatSplitTaskName(baseName, selectionLabel string) string {
 }
 
 func buildNvidiaTaskSet(target string, priority int, createdAt time.Time, params taskParams, baseName string, appRef *app.App, idPrefix string) ([]*Task, error) {
-	if !shouldSplitHomogeneousNvidiaTarget(target) {
+	if !shouldSplitHomogeneousNvidiaTarget(target) || params.ParallelGPUs {
+		// Parallel mode (or non-splittable target): one task for all selected GPUs.
+		if params.ParallelGPUs && shouldSplitHomogeneousNvidiaTarget(target) {
+			// Resolve the selected GPU indices so ExcludeGPUIndices is applied.
+			gpus, err := apiListNvidiaGPUs(appRef)
+			if err != nil {
+				return nil, err
+			}
+			resolved, err := expandSelectedGPUIndices(gpus, params.GPUIndices, params.ExcludeGPUIndices)
+			if err != nil {
+				return nil, err
+			}
+			params.GPUIndices = resolved
+			params.ExcludeGPUIndices = nil
+		}
 		t := &Task{
 			ID:        newJobID(idPrefix),
 			Name:      baseName,
@@ -256,6 +276,53 @@ func buildNvidiaTaskSet(target string, priority int, createdAt time.Time, params
 	return tasks, nil
 }
 
+// expandSelectedGPUIndices returns the sorted list of selected GPU indices after
+// applying include/exclude filters, without splitting by model.
+func expandSelectedGPUIndices(gpus []platform.NvidiaGPU, include, exclude []int) ([]int, error) {
+	indexed := make(map[int]struct{}, len(gpus))
+	allIndices := make([]int, 0, len(gpus))
+	for _, gpu := range gpus {
+		indexed[gpu.Index] = struct{}{}
+		allIndices = append(allIndices, gpu.Index)
+	}
+	sort.Ints(allIndices)
+
+	selected := allIndices
+	if len(include) > 0 {
+		selected = make([]int, 0, len(include))
+		seen := make(map[int]struct{}, len(include))
+		for _, idx := range include {
+			if _, ok := indexed[idx]; !ok {
+				continue
+			}
+			if _, dup := seen[idx]; dup {
+				continue
+			}
+			seen[idx] = struct{}{}
+			selected = append(selected, idx)
+		}
+		sort.Ints(selected)
+	}
+	if len(exclude) > 0 {
+		skip := make(map[int]struct{}, len(exclude))
+		for _, idx := range exclude {
+			skip[idx] = struct{}{}
+		}
+		filtered := selected[:0]
+		for _, idx := range selected {
+			if _, ok := skip[idx]; ok {
+				continue
+			}
+			filtered = append(filtered, idx)
+		}
+		selected = filtered
+	}
+	if len(selected) == 0 {
+		return nil, fmt.Errorf("no NVIDIA GPUs selected")
+	}
+	return selected, nil
+}
+
 // ── SSE helpers ───────────────────────────────────────────────────────────────
 
 func sseWrite(w http.ResponseWriter, event, data string) bool {
@@ -417,7 +484,7 @@ func (h *handler) handleAPISATRun(target string) http.HandlerFunc {
 
 		var body struct {
 			Duration           int      `json:"duration"`
-			DiagLevel          int      `json:"diag_level"`
+			StressMode         bool     `json:"stress_mode"`
 			GPUIndices         []int    `json:"gpu_indices"`
 			ExcludeGPUIndices  []int    `json:"exclude_gpu_indices"`
 			Loader             string   `json:"loader"`
@@ -438,7 +505,7 @@ func (h *handler) handleAPISATRun(target string) http.HandlerFunc {
 		}
 		params := taskParams{
 			Duration:           body.Duration,
-			DiagLevel:          body.DiagLevel,
+			StressMode:         body.StressMode,
 			GPUIndices:         body.GPUIndices,
 			ExcludeGPUIndices:  body.ExcludeGPUIndices,
 			Loader:             body.Loader,
@@ -470,6 +537,7 @@ func (h *handler) handleAPIBenchmarkNvidiaRun(w http.ResponseWriter, r *http.Req
 		GPUIndices        []int  `json:"gpu_indices"`
 		ExcludeGPUIndices []int  `json:"exclude_gpu_indices"`
 		RunNCCL           *bool  `json:"run_nccl"`
+		ParallelGPUs      *bool  `json:"parallel_gpus"`
 		DisplayName       string `json:"display_name"`
 	}
 	if r.Body != nil {
@@ -483,6 +551,10 @@ func (h *handler) handleAPIBenchmarkNvidiaRun(w http.ResponseWriter, r *http.Req
 	if body.RunNCCL != nil {
 		runNCCL = *body.RunNCCL
 	}
+	parallelGPUs := false
+	if body.ParallelGPUs != nil {
+		parallelGPUs = *body.ParallelGPUs
+	}
 	name := taskDisplayName("nvidia-benchmark", "", "")
 	if strings.TrimSpace(body.DisplayName) != "" {
 		name = body.DisplayName
@@ -493,6 +565,7 @@ func (h *handler) handleAPIBenchmarkNvidiaRun(w http.ResponseWriter, r *http.Req
 		SizeMB:            body.SizeMB,
 		BenchmarkProfile:  body.Profile,
 		RunNCCL:           runNCCL,
+		ParallelGPUs:      parallelGPUs,
 		DisplayName:       body.DisplayName,
 	}, name, h.opts.App, "benchmark-nvidia")
 	if err != nil {
@@ -782,6 +855,42 @@ func (h *handler) handleAPIGNVIDIAGPUs(w http.ResponseWriter, _ *http.Request) {
 	writeJSON(w, gpus)
 }
 
+func (h *handler) handleAPIGNVIDIAGPUStatuses(w http.ResponseWriter, _ *http.Request) {
+	if h.opts.App == nil {
+		writeError(w, http.StatusServiceUnavailable, "app not configured")
+		return
+	}
+	gpus, err := apiListNvidiaGPUStatuses(h.opts.App)
+	if err != nil {
+		writeError(w, http.StatusInternalServerError, err.Error())
+		return
+	}
+	if gpus == nil {
+		gpus = []platform.NvidiaGPUStatus{}
+	}
+	writeJSON(w, gpus)
+}
+
+func (h *handler) handleAPIGNVIDIAReset(w http.ResponseWriter, r *http.Request) {
+	if h.opts.App == nil {
+		writeError(w, http.StatusServiceUnavailable, "app not configured")
+		return
+	}
+	var req struct {
+		Index int `json:"index"`
+	}
+	if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
+		writeError(w, http.StatusBadRequest, "invalid request body")
+		return
+	}
+	result, err := h.opts.App.ResetNvidiaGPU(req.Index)
+	status := "ok"
+	if err != nil {
+		status = "error"
+	}
+	writeJSON(w, map[string]string{"status": status, "output": result.Body})
+}
+
 func (h *handler) handleAPIGPUPresence(w http.ResponseWriter, r *http.Request) {
 	if h.opts.App == nil {
 		writeError(w, http.StatusServiceUnavailable, "app not configured")

audit/internal/webui/pages.go

@@ -1036,10 +1036,12 @@ func renderValidate(opts HandlerOptions) string {
   <div class="card-body validate-profile-body">
     <div class="validate-profile-col">
       <div class="form-row" style="margin:0"><label>Cycles</label><input type="number" id="sat-cycles" value="1" min="1" max="100" style="width:100%"></div>
-      <div class="form-row" style="margin:12px 0 0"><label>Diag level</label><select id="sat-profile-nvidia-level" style="width:100%"><option value="1">Level 1 — Quick</option><option value="2">Level 2 — Standard</option><option value="3">Level 3 — Extended</option><option value="4">Level 4 — Full</option></select></div>
+      <div class="form-row" style="margin:12px 0 0"><label>Mode</label></div>
+      <label class="cb-row"><input type="radio" name="sat-mode" id="sat-mode-validate" value="validate" checked onchange="satModeChanged()"><span>Validate — quick non-destructive check</span></label>
+      <label class="cb-row"><input type="radio" name="sat-mode" id="sat-mode-stress" value="stress" onchange="satModeChanged()"><span>Stress — thorough load test (~30–60 min)</span></label>
     </div>
     <div class="validate-profile-col validate-profile-action">
-      <p style="color:var(--muted);font-size:12px;margin:0 0 10px">Runs validate modules sequentially with the selected cycle count. NVIDIA <code>dcgmi diag</code> uses the selected diag level from this profile.</p>
+      <p style="color:var(--muted);font-size:12px;margin:0 0 10px">Runs validate modules sequentially with the selected cycle count and mode. Validate is quick (~5–15 min total); Stress is thorough (~30–60 min total).</p>
       <button class="btn btn-primary" onclick="runAllSAT()">Validate one by one</button>
     </div>
     <div class="validate-profile-col"></div>
@@ -1054,19 +1056,19 @@ func renderValidate(opts HandlerOptions) string {
 		inv.CPU,
 		`Collects CPU inventory and temperatures, then runs a bounded CPU stress pass.`,
 		`<code>lscpu</code>, <code>sensors</code>, <code>stress-ng</code>`,
-		`Duration is taken from Validate Profile diag level: Level 1 = 60s, Level 2 = 5m, Level 3 = 1h, Level 4 = 1h.`,
+		`60s in Validate, 30 min in Stress.`,
 	)) +
 		renderSATCard("memory", "Memory", "runSAT('memory')", "", renderValidateCardBody(
 			inv.Memory,
-			`Runs a short RAM validation pass and records memory state around the test.`,
+			`Runs a RAM validation pass and records memory state around the test.`,
 			`<code>free</code>, <code>memtester</code>`,
-			`No extra settings.`,
+			`256 MB / 1 pass in Validate, 1 GB / 3 passes in Stress.`,
 		)) +
 		renderSATCard("storage", "Storage", "runSAT('storage')", "", renderValidateCardBody(
 			inv.Storage,
 			`Scans all storage devices and runs the matching health or self-test path for each device type.`,
 			`<code>lsblk</code>; NVMe: <code>nvme</code>; SATA/SAS: <code>smartctl</code>`,
-			`No extra settings.`,
+			`Short self-test in Validate, extended self-test in Stress.`,
 		)) +
 		`</div>
 <div style="height:1px;background:var(--border);margin:16px 0"></div>
@@ -1083,6 +1085,12 @@ func renderValidate(opts HandlerOptions) string {
       <p style="color:var(--muted);font-size:13px">Loading NVIDIA GPUs...</p>
     </div>
     <p id="sat-gpu-selection-note" style="font-size:12px;color:var(--muted);margin:10px 0 0">Select at least one NVIDIA GPU to enable NVIDIA validate tasks.</p>
+    <div style="margin-top:10px;padding-top:10px;border-top:1px solid var(--border)">
+      <label class="sat-gpu-row" title="When checked, multi-GPU tests (PSU Pulse, NCCL, NVBandwidth) run on ALL GPUs in the system regardless of the selection above.">
+        <input type="checkbox" id="sat-multi-gpu-all" checked onchange="satUpdateGPUSelectionNote()">
+        <span><strong>Multi-GPU tests</strong> — use all GPUs <span style="font-size:11px;color:var(--muted)">(PSU Pulse, NCCL, NVBandwidth)</span></span>
+      </label>
+    </div>
   </div>
 </div>
 
@@ -1091,14 +1099,58 @@ func renderValidate(opts HandlerOptions) string {
 			inv.NVIDIA,
 			`Runs NVIDIA diagnostics and board inventory checks.`,
 			`<code>nvidia-smi</code>, <code>dmidecode</code>, <code>dcgmi diag</code>`,
-			`Runs one GPU at a time on the selected NVIDIA GPUs. Diag level is taken from Validate Profile.`,
+			`Level 2 in Validate, Level 3 in Stress. Runs one GPU at a time on the selected NVIDIA GPUs.`,
 		)) +
+		`<div id="sat-card-nvidia-targeted-stress">` +
 		renderSATCard("nvidia-targeted-stress", "NVIDIA GPU Targeted Stress", "runNvidiaValidateSet('nvidia-targeted-stress')", "", renderValidateCardBody(
 			inv.NVIDIA,
-			`Runs a controlled NVIDIA DCGM load in Validate to check stability under moderate stress.`,
+			`Runs a controlled NVIDIA DCGM load to check stability under moderate stress.`,
 			`<code>dcgmi diag targeted_stress</code>`,
-			`Runs one GPU at a time on the selected NVIDIA GPUs with the fixed DCGM targeted stress recipe.`,
+			`Skipped in Validate mode. Runs after dcgmi diag in Stress mode. Runs one GPU at a time on the selected NVIDIA GPUs.<p id="sat-ts-mode-hint" style="color:var(--warn-fg);font-size:12px;margin:8px 0 0">Only runs in Stress mode. Switch mode above to enable in Run All.</p>`,
 		)) +
+		`</div>` +
+		`<div id="sat-card-nvidia-targeted-power">` +
+		renderSATCard("nvidia-targeted-power", "NVIDIA Targeted Power", "runNvidiaValidateSet('nvidia-targeted-power')", "", renderValidateCardBody(
+			inv.NVIDIA,
+			`Checks that the GPU can sustain its declared power delivery envelope. Pass/fail determined by DCGM.`,
+			`<code>dcgmi diag targeted_power</code>`,
+			`Skipped in Validate mode. Runs in Stress mode only. Runs one GPU at a time.<p id="sat-tp-mode-hint" style="color:var(--warn-fg);font-size:12px;margin:8px 0 0">Only runs in Stress mode. Switch mode above to enable in Run All.</p>`,
+		)) +
+		`</div>` +
+		`<div id="sat-card-nvidia-pulse">` +
+		renderSATCard("nvidia-pulse", "NVIDIA PSU Pulse Test", "runNvidiaFabricValidate('nvidia-pulse')", "", renderValidateCardBody(
+			inv.NVIDIA,
+			`Tests power supply transient response by pulsing all GPUs simultaneously between idle and full load. Synchronous pulses across all GPUs create worst-case PSU load spikes — running per-GPU would miss PSU-level failures.`,
+			`<code>dcgmi diag pulse_test</code>`,
+			`Skipped in Validate mode. Runs in Stress mode only. Runs all selected GPUs simultaneously — synchronous pulsing is required to stress the PSU.<p id="sat-pt-mode-hint" style="color:var(--warn-fg);font-size:12px;margin:8px 0 0">Only runs in Stress mode. Switch mode above to enable in Run All.</p>`,
+		)) +
+		`</div>` +
+		`<div id="sat-card-nvidia-interconnect">` +
+		renderSATCard("nvidia-interconnect", "NVIDIA Interconnect (NCCL)", "runNvidiaFabricValidate('nvidia-interconnect')", "", renderValidateCardBody(
+			inv.NVIDIA,
+			`Verifies NVLink/NVSwitch fabric bandwidth using NCCL all_reduce_perf across all selected GPUs. Pass/fail based on achieved bandwidth vs. theoretical.`,
+			`<code>all_reduce_perf</code> (NCCL tests)`,
+			`Skipped in Validate mode. Runs in Stress mode only. Runs across all selected GPUs simultaneously (requires ≥2).<p id="sat-ni-mode-hint" style="color:var(--warn-fg);font-size:12px;margin:8px 0 0">Only runs in Stress mode. Switch mode above to enable in Run All.</p>`,
+		)) +
+		`</div>` +
+		`<div id="sat-card-nvidia-bandwidth">` +
+		renderSATCard("nvidia-bandwidth", "NVIDIA Bandwidth (NVBandwidth)", "runNvidiaFabricValidate('nvidia-bandwidth')", "", renderValidateCardBody(
+			inv.NVIDIA,
+			`Validates GPU memory copy and peer-to-peer bandwidth paths using NVBandwidth.`,
+			`<code>nvbandwidth</code>`,
+			`Skipped in Validate mode. Runs in Stress mode only. Runs across all selected GPUs simultaneously.<p id="sat-nb-mode-hint" style="color:var(--warn-fg);font-size:12px;margin:8px 0 0">Only runs in Stress mode. Switch mode above to enable in Run All.</p>`,
+		)) +
+		`</div>` +
+		`</div>
+<div class="grid3" style="margin-top:16px">
+` + `<div id="sat-card-hpl">` +
+		renderSATCard("hpl", "LINPACK (HPL)", "runSAT('hpl')", "", renderValidateCardBody(
+			``,
+			`Standard High Performance LINPACK benchmark. Measures sustained FP64 GFLOPS and memory bandwidth of the CPU subsystem. Uses 80% of available RAM. Pass/fail based on HPL residual check.`,
+			`<code>xhpl</code> (HPL 2.3, OpenBLAS)`,
+			`Skipped in Validate mode. Runs in Stress mode only. Runtime scales with RAM — expect 5–30 min.<p id="sat-hpl-mode-hint" style="color:var(--warn-fg);font-size:12px;margin:8px 0 0">Only runs in Stress mode. Switch mode above to enable in Run All.</p>`,
+		)) +
+		`</div>` +
 		`</div>
 <div class="grid3" style="margin-top:16px">
 ` + renderSATCard("amd", "AMD GPU", "runAMDValidateSet()", "", renderValidateCardBody(
@@ -1125,17 +1177,29 @@ func renderValidate(opts HandlerOptions) string {
 </style>
 <script>
 let satES = null;
-function satDiagLevel() {
+function satStressMode() {
-  return parseInt(document.getElementById('sat-profile-nvidia-level').value) || 1;
+  return document.querySelector('input[name="sat-mode"]:checked')?.value === 'stress';
 }
-function satCPUDurationFromDiagLevel() {
+function satModeChanged() {
-  const level = satDiagLevel();
+  const stress = satStressMode();
-  if (level === 1) return 60;
+  [
-  if (level === 2) return 5 * 60;
+    {card: 'sat-card-nvidia-targeted-stress', hint: 'sat-ts-mode-hint'},
-  return 60 * 60;
+    {card: 'sat-card-nvidia-targeted-power',  hint: 'sat-tp-mode-hint'},
+    {card: 'sat-card-nvidia-pulse',           hint: 'sat-pt-mode-hint'},
+    {card: 'sat-card-nvidia-interconnect',    hint: 'sat-ni-mode-hint'},
+    {card: 'sat-card-nvidia-bandwidth',       hint: 'sat-nb-mode-hint'},
+    {card: 'sat-card-hpl',                    hint: 'sat-hpl-mode-hint'},
+  ].forEach(function(item) {
+    const card = document.getElementById(item.card);
+    if (card) {
+      card.style.opacity = stress ? '1' : '0.5';
+      const hint = document.getElementById(item.hint);
+      if (hint) hint.style.display = stress ? 'none' : '';
+    }
+  });
 }
 function satLabels() {
-  return {nvidia:'Validate GPU', 'nvidia-targeted-stress':'NVIDIA Targeted Stress Validate (dcgmi diag targeted_stress)', memory:'Validate Memory', storage:'Validate Storage', cpu:'Validate CPU', amd:'Validate AMD GPU', 'amd-mem':'AMD GPU MEM Integrity', 'amd-bandwidth':'AMD GPU MEM Bandwidth'};
+  return {nvidia:'Validate GPU', 'nvidia-targeted-stress':'NVIDIA Targeted Stress (dcgmi diag targeted_stress)', 'nvidia-targeted-power':'NVIDIA Targeted Power (dcgmi diag targeted_power)', 'nvidia-pulse':'NVIDIA PSU Pulse Test (dcgmi diag pulse_test)', 'nvidia-interconnect':'NVIDIA Interconnect (NCCL all_reduce_perf)', 'nvidia-bandwidth':'NVIDIA Bandwidth (NVBandwidth)', hpl:'LINPACK (HPL)', memory:'Validate Memory', storage:'Validate Storage', cpu:'Validate CPU', amd:'Validate AMD GPU', 'amd-mem':'AMD GPU MEM Integrity', 'amd-bandwidth':'AMD GPU MEM Bandwidth'};
 }
 let satNvidiaGPUsPromise = null;
 function loadSatNvidiaGPUs() {
@@ -1156,6 +1220,10 @@ function satSelectedGPUIndices() {
     .filter(function(v) { return !Number.isNaN(v); })
     .sort(function(a, b) { return a - b; });
 }
+function satMultiGPUAll() {
+  const cb = document.getElementById('sat-multi-gpu-all');
+  return cb ? cb.checked : true;
+}
 function satUpdateGPUSelectionNote() {
   const note = document.getElementById('sat-gpu-selection-note');
   if (!note) return;
@@ -1164,7 +1232,8 @@ function satUpdateGPUSelectionNote() {
     note.textContent = 'Select at least one NVIDIA GPU to enable NVIDIA validate tasks.';
     return;
   }
-  note.textContent = 'Selected NVIDIA GPUs: ' + selected.join(', ') + '.';
+  const multiAll = satMultiGPUAll();
+  note.textContent = 'Selected GPUs: ' + selected.join(', ') + '. Multi-GPU tests: ' + (multiAll ? 'all GPUs in system' : 'selected GPUs only') + '.';
 }
 function satRenderGPUList(gpus) {
   const root = document.getElementById('sat-gpu-list');
@@ -1211,9 +1280,8 @@ function satRequestBody(target, overrides) {
   const body = {};
   const labels = satLabels();
   body.display_name = labels[target] || ('Validate ' + target);
-  if (target === 'nvidia') body.diag_level = satDiagLevel();
+  body.stress_mode = satStressMode();
-  if (target === 'nvidia-targeted-stress') body.duration = 300;
+  if (target === 'cpu') body.duration = satStressMode() ? 1800 : 60;
-  if (target === 'cpu') body.duration = satCPUDurationFromDiagLevel();
   if (overrides) {
     Object.keys(overrides).forEach(key => { body[key] = overrides[key]; });
   }
@@ -1275,8 +1343,28 @@ function runSATWithOverrides(target, overrides) {
   return enqueueSATTarget(target, overrides)
     .then(d => streamSATTask(d.task_id, title, false));
 }
+const nvidiaPerGPUTargets = ['nvidia', 'nvidia-targeted-stress', 'nvidia-targeted-power'];
+// pulse_test and fabric tests run on all selected GPUs simultaneously
+const nvidiaAllGPUTargets = ['nvidia-pulse', 'nvidia-interconnect', 'nvidia-bandwidth'];
+function satAllGPUIndicesForMulti() {
+  // If "Multi-GPU tests — all GPUs" is checked, return all detected GPUs.
+  // Otherwise fall back to the per-GPU selection.
+  if (satMultiGPUAll()) {
+    return loadSatNvidiaGPUs().then(function(gpus) {
+      return gpus.map(function(g) { return Number(g.index); });
+    });
+  }
+  const sel = satSelectedGPUIndices();
+  return Promise.resolve(sel);
+}
 function expandSATTarget(target) {
-  if (target !== 'nvidia' && target !== 'nvidia-targeted-stress') {
+  if (nvidiaAllGPUTargets.indexOf(target) >= 0) {
+    return satAllGPUIndicesForMulti().then(function(indices) {
+      if (!indices.length) return Promise.reject(new Error('No NVIDIA GPUs available.'));
+      return [{target: target, overrides: {gpu_indices: indices, display_name: satLabels()[target] || target}}];
+    });
+  }
+  if (nvidiaPerGPUTargets.indexOf(target) < 0) {
     return Promise.resolve([{target: target}]);
   }
   const selected = satSelectedGPUIndices();
@@ -1292,6 +1380,12 @@ function expandSATTarget(target) {
     label: satGPUDisplayName(gpu)
   })));
 }
+function runNvidiaFabricValidate(target) {
+  satAllGPUIndicesForMulti().then(function(indices) {
+    if (!indices.length) { alert('No NVIDIA GPUs available.'); return; }
+    runSATWithOverrides(target, {gpu_indices: indices, display_name: satLabels()[target] || target});
+  });
+}
 function runNvidiaValidateSet(target) {
   return loadSatNvidiaGPUs().then(gpus => {
     const selected = satSelectedGPUIndices();
@@ -1354,8 +1448,10 @@ function runAllSAT() {
   const cycles = Math.max(1, parseInt(document.getElementById('sat-cycles').value)||1);
   const status = document.getElementById('sat-all-status');
   status.textContent = 'Enqueuing...';
-  const baseTargets = ['nvidia','nvidia-targeted-stress','memory','storage','cpu'].concat(selectedAMDValidateTargets());
+  const stressOnlyTargets = ['nvidia-targeted-stress', 'nvidia-targeted-power', 'nvidia-pulse', 'nvidia-interconnect', 'nvidia-bandwidth', 'hpl'];
+  const baseTargets = ['nvidia','nvidia-targeted-stress','nvidia-targeted-power','nvidia-pulse','nvidia-interconnect','nvidia-bandwidth','hpl','memory','storage','cpu'].concat(selectedAMDValidateTargets());
   const activeTargets = baseTargets.filter(target => {
+    if (stressOnlyTargets.indexOf(target) >= 0 && !satStressMode()) return false;
     const btn = document.getElementById('sat-btn-' + target);
     return !(btn && btn.disabled);
   });
@@ -1390,6 +1486,10 @@ function runAllSAT() {
 fetch('/api/gpu/presence').then(r=>r.json()).then(gp => {
     if (!gp.nvidia) disableSATCard('nvidia', 'No NVIDIA GPU detected');
     if (!gp.nvidia) disableSATCard('nvidia-targeted-stress', 'No NVIDIA GPU detected');
+    if (!gp.nvidia) disableSATCard('nvidia-targeted-power', 'No NVIDIA GPU detected');
+    if (!gp.nvidia) disableSATCard('nvidia-pulse', 'No NVIDIA GPU detected');
+    if (!gp.nvidia) disableSATCard('nvidia-interconnect', 'No NVIDIA GPU detected');
+    if (!gp.nvidia) disableSATCard('nvidia-bandwidth', 'No NVIDIA GPU detected');
     if (!gp.amd) disableSATCard('amd', 'No AMD GPU detected');
     if (!gp.amd) disableSATAMDOptions('No AMD GPU detected');
 });
@@ -1587,6 +1687,7 @@ type benchmarkHistoryColumn struct {
 	label    string
 	name     string
 	index    int
+	parallel bool
 }
 
 type benchmarkHistoryCell struct {
@@ -1625,6 +1726,10 @@ func renderBenchmark(opts HandlerOptions) string {
           <p style="color:var(--muted);font-size:13px">Loading NVIDIA GPUs...</p>
         </div>
       </div>
+      <label class="benchmark-cb-row">
+        <input type="checkbox" id="benchmark-parallel-gpus">
+        <span>Run all selected GPUs simultaneously (parallel mode)</span>
+      </label>
       <label class="benchmark-cb-row">
         <input type="checkbox" id="benchmark-run-nccl" checked>
         <span>Run multi-GPU interconnect step (NCCL) only on the selected GPUs</span>
@@ -1750,10 +1855,12 @@ function runNvidiaBenchmark() {
     return;
   }
   if (benchmarkES) { benchmarkES.close(); benchmarkES = null; }
+  const parallelGPUs = !!document.getElementById('benchmark-parallel-gpus').checked;
   const body = {
     profile: document.getElementById('benchmark-profile').value || 'standard',
     gpu_indices: selected,
     run_nccl: !!document.getElementById('benchmark-run-nccl').checked,
+    parallel_gpus: parallelGPUs,
     display_name: 'NVIDIA Benchmark'
   };
   document.getElementById('benchmark-output').style.display = 'block';
@@ -1887,17 +1994,43 @@ func loadBenchmarkHistoryFromPaths(paths []string) ([]benchmarkHistoryColumn, []
 			displayTime: result.GeneratedAt.Local().Format("2006-01-02 15:04:05"),
 			cells:       make(map[string]benchmarkHistoryCell),
 		}
+
+		if result.ParallelGPUs {
+			// All GPUs ran simultaneously — one column per server, score = avg composite.
+			gpuModelCount := make(map[string]int)
 			for _, gpu := range result.GPUs {
-			key := benchmarkHistoryColumnKey(gpu.Name, gpu.Index)
+				gpuModelCount[strings.TrimSpace(gpu.Name)]++
+			}
+			scoreSum := make(map[string]float64)
+			scoreCnt := make(map[string]int)
+			for _, gpu := range result.GPUs {
+				key := "parallel|" + strings.TrimSpace(result.ServerModel) + "|" + strings.TrimSpace(gpu.Name)
+				scoreSum[key] += gpu.Scores.CompositeScore
+				scoreCnt[key]++
+				count := gpuModelCount[strings.TrimSpace(gpu.Name)]
 				columnByKey[key] = benchmarkHistoryColumn{
 					key:      key,
-				label: benchmarkHistoryColumnLabel(gpu.Name, gpu.Index),
+					label:    benchmarkHistoryParallelLabel(result.ServerModel, gpu.Name, count),
+					name:     strings.TrimSpace(gpu.Name),
+					index:    -1,
+					parallel: true,
+				}
+			}
+			for key, sum := range scoreSum {
+				run.cells[key] = benchmarkHistoryCell{score: sum / float64(scoreCnt[key]), present: true}
+			}
+		} else {
+			// Each GPU ran independently — one column per GPU index.
+			for _, gpu := range result.GPUs {
+				key := "gpu|" + strings.TrimSpace(result.ServerModel) + "|" + strings.TrimSpace(gpu.Name) + "|" + strconv.Itoa(gpu.Index)
+				columnByKey[key] = benchmarkHistoryColumn{
+					key:      key,
+					label:    benchmarkHistoryPerGPULabel(gpu.Name, gpu.Index),
 					name:     strings.TrimSpace(gpu.Name),
 					index:    gpu.Index,
+					parallel: false,
 				}
-			run.cells[key] = benchmarkHistoryCell{
+				run.cells[key] = benchmarkHistoryCell{score: gpu.Scores.CompositeScore, present: true}
-				score:   gpu.Scores.CompositeScore,
-				present: true,
 			}
 		}
 		runs = append(runs, run)
@@ -1907,16 +2040,24 @@ func loadBenchmarkHistoryFromPaths(paths []string) ([]benchmarkHistoryColumn, []
 	for _, col := range columnByKey {
 		columns = append(columns, col)
 	}
+	// Sequential GPU columns first (sorted by GPU index), then parallel server columns.
 	sort.Slice(columns, func(i, j int) bool {
-		leftName := strings.ToLower(strings.TrimSpace(columns[i].name))
+		if columns[i].parallel != columns[j].parallel {
-		rightName := strings.ToLower(strings.TrimSpace(columns[j].name))
+			return !columns[i].parallel // sequential first
-		if leftName != rightName {
-			return leftName < rightName
 		}
+		if columns[i].parallel {
+			li := strings.ToLower(columns[i].label)
+			lj := strings.ToLower(columns[j].label)
+			if li != lj {
+				return li < lj
+			}
+			return columns[i].key < columns[j].key
+		}
+		// Sequential: sort by GPU index, then name.
 		if columns[i].index != columns[j].index {
 			return columns[i].index < columns[j].index
 		}
-		return columns[i].key < columns[j].key
+		return strings.ToLower(columns[i].name) < strings.ToLower(columns[j].name)
 	})
 	sort.Slice(runs, func(i, j int) bool {
 		return runs[i].generatedAt.After(runs[j].generatedAt)
@@ -1924,23 +2065,35 @@ func loadBenchmarkHistoryFromPaths(paths []string) ([]benchmarkHistoryColumn, []
 	return columns, runs
 }
 
-func benchmarkHistoryColumnKey(name string, index int) string {
+// benchmarkHistoryPerGPULabel formats a label for a single-GPU column: "GPU #N — ModelName".
-	return strings.TrimSpace(name) + "|" + strconv.Itoa(index)
+func benchmarkHistoryPerGPULabel(gpuName string, index int) string {
+	gpuName = strings.TrimSpace(gpuName)
+	if gpuName == "" {
+		gpuName = "Unknown GPU"
+	}
+	return fmt.Sprintf("GPU #%d — %s", index, gpuName)
 }
 
-func benchmarkHistoryColumnLabel(name string, index int) string {
+// benchmarkHistoryParallelLabel formats a label for an all-GPU parallel column:
-	name = strings.TrimSpace(name)
+// "ServerModel — N× ModelName (All GPUs)" or "N× ModelName (All GPUs)" if no server.
-	if name == "" {
+func benchmarkHistoryParallelLabel(serverModel, gpuName string, count int) string {
-		return fmt.Sprintf("GPU %d", index)
+	serverModel = strings.TrimSpace(serverModel)
+	gpuName = strings.TrimSpace(gpuName)
+	if gpuName == "" {
+		gpuName = "Unknown GPU"
 	}
-	return fmt.Sprintf("%s / GPU %d", name, index)
+	gpuPart := fmt.Sprintf("%d× %s (All GPUs)", count, gpuName)
+	if serverModel == "" {
+		return gpuPart
+	}
+	return fmt.Sprintf("%s — %s", serverModel, gpuPart)
 }
 
 // ── Burn ──────────────────────────────────────────────────────────────────────
 
 func renderBurn() string {
 	return `<div class="alert alert-warn" style="margin-bottom:16px"><strong>&#9888; Warning:</strong> Stress tests on this page run hardware at high load. Repeated or prolonged use may reduce hardware lifespan. Use only when necessary.</div>
-<div class="alert alert-info" style="margin-bottom:16px"><strong>Scope:</strong> DCGM diagnostics and ` + "targeted_stress" + ` remain in <a href="/validate">Validate</a>. Burn exposes official NVIDIA load recipes by test goal plus separate custom stress tools.</div>
+<div class="alert alert-info" style="margin-bottom:16px"><strong>Scope:</strong> DCGM diagnostics (` + "targeted_stress, targeted_power, pulse_test" + `), NCCL, NVBandwidth, and LINPACK remain in <a href="/validate">Validate → Stress mode</a>. Burn exposes sustained GPU compute load recipes.</div>
 <p style="color:var(--muted);font-size:13px;margin-bottom:16px">Tasks continue in the background — view progress in <a href="/tasks">Tasks</a>.</p>
 
 <div class="card" style="margin-bottom:16px">
@@ -2007,23 +2160,6 @@ func renderBurn() string {
 
 <div class="burn-section">GPU-Specific Tests</div>
 <div class="grid2 burn-grid" style="margin-bottom:16px">
-<div class="card burn-card">
-  <div class="card-head card-head-actions"><span>Power Delivery / Power Budget</span><button class="btn btn-primary btn-sm" onclick="runBurnTaskSet([{id:'burn-nvidia-power',target:'nvidia-targeted-power',label:'NVIDIA Targeted Power (dcgmi diag targeted_power)',nvidia:true},{id:'burn-nvidia-pulse',target:'nvidia-pulse',label:'NVIDIA Pulse Test (dcgmi diag pulse_test)',nvidia:true}])">Run</button></div>
-  <div class="card-body burn-card-body">
-    <p style="font-size:12px;color:var(--muted);margin:0 0 10px">Official NVIDIA power-oriented recipes. ` + "targeted_power" + ` checks sustained delivery; ` + "pulse_test" + ` checks transient behavior.</p>
-    <label class="cb-row"><input type="checkbox" id="burn-nvidia-power" disabled><span>NVIDIA Targeted Power (dcgmi diag targeted_power) <span class="cb-note" id="note-nvidia-power"></span></span></label>
-    <label class="cb-row"><input type="checkbox" id="burn-nvidia-pulse" disabled><span>NVIDIA Pulse Test (dcgmi diag pulse_test) <span class="cb-note" id="note-nvidia-pulse"></span></span></label>
-  </div>
-</div>
-
-<div class="card burn-card">
-  <div class="card-head card-head-actions"><span>Interconnect / Bandwidth</span><button class="btn btn-primary btn-sm" onclick="runBurnTaskSet([{id:'burn-nvidia-interconnect',target:'nvidia-interconnect',label:'NVIDIA Interconnect Test (NCCL all_reduce_perf)',nvidia:true},{id:'burn-nvidia-bandwidth',target:'nvidia-bandwidth',label:'NVIDIA Bandwidth Test (NVBandwidth)',nvidia:true}])">Run</button></div>
-  <div class="card-body burn-card-body">
-    <p style="font-size:12px;color:var(--muted);margin:0 0 10px">Official NVIDIA fabric paths. NCCL is interconnect-only and is not a compute burn. NVBandwidth validates copy and bandwidth paths.</p>
-    <label class="cb-row"><input type="checkbox" id="burn-nvidia-interconnect" disabled><span>NVIDIA Interconnect Test (NCCL all_reduce_perf) <span class="cb-note" id="note-nvidia-interconnect"></span></span></label>
-    <label class="cb-row"><input type="checkbox" id="burn-nvidia-bandwidth" disabled><span>NVIDIA Bandwidth Test (NVBandwidth) <span class="cb-note" id="note-nvidia-bandwidth"></span></span></label>
-  </div>
-</div>
 </div>
 
 <div id="bi-output" style="display:none;margin-top:16px" class="card">
@@ -2275,10 +2411,6 @@ function runAllBurnTasks() {
   const status = document.getElementById('burn-all-status');
   const all = [
     {id:'burn-nvidia-compute',target:'nvidia-compute',label:'NVIDIA Max Compute Load (dcgmproftester)',nvidia:true},
-    {id:'burn-nvidia-power',target:'nvidia-targeted-power',label:'NVIDIA Targeted Power (dcgmi diag targeted_power)',nvidia:true},
-    {id:'burn-nvidia-pulse',target:'nvidia-pulse',label:'NVIDIA Pulse Test (dcgmi diag pulse_test)',nvidia:true},
-    {id:'burn-nvidia-interconnect',target:'nvidia-interconnect',label:'NVIDIA Interconnect Test (NCCL all_reduce_perf)',nvidia:true},
-    {id:'burn-nvidia-bandwidth',target:'nvidia-bandwidth',label:'NVIDIA Bandwidth Test (NVBandwidth)',nvidia:true},
     {id:'burn-gpu-bee',target:'nvidia-stress',label:'GPU Burn (bee-gpu-burn)',nvidia:true,extra:{loader:'builtin'}},
     {id:'burn-gpu-john',target:'nvidia-stress',label:'John GPU Stress (john/OpenCL)',nvidia:true,extra:{loader:'john'}},
     {id:'burn-gpu-rvs',target:'amd-stress',label:'AMD GPU Stress (rvs gst)'},
@@ -2293,10 +2425,6 @@ function runAllBurnTasks() {
 fetch('/api/gpu/tools').then(function(r) { return r.json(); }).then(function(tools) {
   const map = {
     'nvidia-compute': {cb:'burn-nvidia-compute', note:'note-nvidia-compute', reason:'dcgmproftester not available or NVIDIA driver not running'},
-    'nvidia-targeted-power': {cb:'burn-nvidia-power', note:'note-nvidia-power', reason:'dcgmi not available or NVIDIA driver not running'},
-    'nvidia-pulse': {cb:'burn-nvidia-pulse', note:'note-nvidia-pulse', reason:'dcgmi not available or NVIDIA driver not running'},
-    'nvidia-interconnect': {cb:'burn-nvidia-interconnect', note:'note-nvidia-interconnect', reason:'NCCL interconnect tool not available or NVIDIA driver not running'},
-    'nvidia-bandwidth': {cb:'burn-nvidia-bandwidth', note:'note-nvidia-bandwidth', reason:'nvbandwidth or dcgmi not available or NVIDIA driver not running'},
     'bee-gpu-burn': {cb:'burn-gpu-bee', note:'note-bee', reason:'bee-gpu-burn not available or NVIDIA driver not running'},
     'john': {cb:'burn-gpu-john', note:'note-john', reason:'bee-john-gpu-stress not available or NVIDIA driver not running'},
     'rvs': {cb:'burn-gpu-rvs', note:'note-rvs', reason:'AMD driver not running'},
@@ -2452,7 +2580,7 @@ func renderNetwork() string {
 
 func renderServicesInline() string {
 	return `<p style="font-size:13px;color:var(--muted);margin-bottom:10px">` + html.EscapeString(`bee-selfheal.timer is expected to be active; the oneshot bee-selfheal.service itself is not shown as a long-running service.`) + `</p>
-<div style="display:flex;justify-content:flex-end;gap:8px;flex-wrap:wrap;margin-bottom:8px"><button class="btn btn-sm btn-secondary" onclick="restartGPUDrivers()">Restart GPU Drivers</button><button class="btn btn-sm btn-secondary" onclick="loadServices()">&#8635; Refresh</button></div>
+<div style="display:flex;justify-content:flex-end;gap:8px;flex-wrap:wrap;margin-bottom:8px"><button class="btn btn-sm btn-secondary" onclick="loadServices()">&#8635; Refresh</button></div>
 <div id="svc-table"><p style="color:var(--muted);font-size:13px">Loading...</p></div>
 <div id="svc-out" style="display:none;margin-top:12px">
   <div style="display:flex;align-items:center;justify-content:space-between;margin-bottom:4px">
@@ -2523,11 +2651,6 @@ function svcAction(btn, name, action) {
       btn.disabled = false;
     });
 }
-function restartGPUDrivers() {
-  var btn = document.querySelector('[onclick*="restartGPUDrivers"]');
-  if (!btn) { svcAction({textContent:'',disabled:false}, 'bee-nvidia', 'restart'); return; }
-  svcAction(btn, 'bee-nvidia', 'restart');
-}
 loadServices();
 </script>`
 }
@@ -2787,6 +2910,124 @@ loadDisplays();
 </script>`
 }
 
+func renderNvidiaSelfHealInline() string {
+	return `<p style="font-size:13px;color:var(--muted);margin-bottom:12px">Inspect NVIDIA GPU health, restart the bee-nvidia driver service, and issue a per-GPU reset when the driver reports reset required.</p>
+<div style="display:flex;gap:8px;flex-wrap:wrap;margin-bottom:12px">
+  <button id="nvidia-restart-btn" class="btn btn-secondary" onclick="nvidiaRestartDrivers()">Restart GPU Drivers</button>
+  <button class="btn btn-sm btn-secondary" onclick="loadNvidiaSelfHeal()">&#8635; Refresh</button>
+</div>
+<div id="nvidia-self-heal-status" style="font-size:13px;color:var(--muted);margin-bottom:12px">Loading NVIDIA GPU status...</div>
+<div id="nvidia-self-heal-table"><p style="color:var(--muted);font-size:13px">Loading...</p></div>
+<div id="nvidia-self-heal-out" style="display:none;margin-top:12px">
+  <div style="display:flex;align-items:center;justify-content:space-between;margin-bottom:4px">
+    <span id="nvidia-self-heal-out-label" style="font-size:12px;font-weight:600;color:var(--muted)">Output</span>
+    <span id="nvidia-self-heal-out-status" style="font-size:12px"></span>
+  </div>
+  <div id="nvidia-self-heal-terminal" class="terminal" style="max-height:220px;width:100%;box-sizing:border-box"></div>
+</div>
+<script>
+function nvidiaSelfHealShowResult(label, status, output) {
+  var out = document.getElementById('nvidia-self-heal-out');
+  var term = document.getElementById('nvidia-self-heal-terminal');
+  var statusEl = document.getElementById('nvidia-self-heal-out-status');
+  var labelEl = document.getElementById('nvidia-self-heal-out-label');
+  out.style.display = 'block';
+  labelEl.textContent = label;
+  term.textContent = output || '(no output)';
+  term.scrollTop = term.scrollHeight;
+  if (status === 'ok') {
+    statusEl.textContent = '✓ done';
+    statusEl.style.color = 'var(--ok-fg, #2c662d)';
+  } else {
+    statusEl.textContent = '✗ failed';
+    statusEl.style.color = 'var(--crit-fg, #9f3a38)';
+  }
+}
+function nvidiaRestartDrivers() {
+  var btn = document.getElementById('nvidia-restart-btn');
+  var original = btn.textContent;
+  btn.disabled = true;
+  btn.textContent = 'Restarting...';
+  nvidiaSelfHealShowResult('restart bee-nvidia', 'ok', 'Running...');
+  fetch('/api/services/action', {
+    method:'POST',
+    headers:{'Content-Type':'application/json'},
+    body:JSON.stringify({name:'bee-nvidia', action:'restart'})
+  }).then(r=>r.json()).then(d => {
+    nvidiaSelfHealShowResult('restart bee-nvidia', d.status || 'error', d.output || d.error || '(no output)');
+    setTimeout(function() {
+      loadServices();
+      loadNvidiaSelfHeal();
+    }, 800);
+  }).catch(e => {
+    nvidiaSelfHealShowResult('restart bee-nvidia', 'error', 'Request failed: ' + e);
+  }).finally(() => {
+    btn.disabled = false;
+    btn.textContent = original;
+  });
+}
+function nvidiaResetGPU(index, btn) {
+  var original = btn.textContent;
+  btn.disabled = true;
+  btn.textContent = 'Resetting...';
+  nvidiaSelfHealShowResult('reset gpu ' + index, 'ok', 'Running...');
+  fetch('/api/gpu/nvidia-reset', {
+    method:'POST',
+    headers:{'Content-Type':'application/json'},
+    body:JSON.stringify({index:index})
+  }).then(r=>r.json()).then(d => {
+    nvidiaSelfHealShowResult('reset gpu ' + index, d.status || 'error', d.output || '(no output)');
+    setTimeout(loadNvidiaSelfHeal, 1000);
+  }).catch(e => {
+    nvidiaSelfHealShowResult('reset gpu ' + index, 'error', 'Request failed: ' + e);
+  }).finally(() => {
+    btn.disabled = false;
+    btn.textContent = original;
+  });
+}
+function loadNvidiaSelfHeal() {
+  var status = document.getElementById('nvidia-self-heal-status');
+  var table = document.getElementById('nvidia-self-heal-table');
+  status.textContent = 'Loading NVIDIA GPU status...';
+  status.style.color = 'var(--muted)';
+  table.innerHTML = '<p style="color:var(--muted);font-size:13px">Loading...</p>';
+  fetch('/api/gpu/nvidia-status').then(r=>r.json()).then(gpus => {
+    if (!Array.isArray(gpus) || gpus.length === 0) {
+      status.textContent = 'No NVIDIA GPUs detected or nvidia-smi is unavailable.';
+      table.innerHTML = '';
+      return;
+    }
+    status.textContent = gpus.length + ' NVIDIA GPU(s) detected.';
+    const rows = gpus.map(g => {
+      const serial = g.serial || '';
+      const bdf = g.bdf || '';
+      const id = serial || bdf || ('gpu-' + g.index);
+      const badge = g.status === 'OK' ? 'badge-ok' : g.status === 'RESET_REQUIRED' ? 'badge-err' : 'badge-warn';
+      const details = [];
+      if (serial) details.push('serial ' + serial);
+      if (bdf) details.push('bdf ' + bdf);
+      if (g.parse_failure && g.raw_line) details.push(g.raw_line);
+      return '<tr>'
+        + '<td style="white-space:nowrap">' + g.index + '</td>'
+        + '<td>' + (g.name || 'unknown') + '</td>'
+        + '<td style="font-family:monospace">' + id + '</td>'
+        + '<td><span class="badge ' + badge + '">' + (g.status || 'UNKNOWN') + '</span>'
+        + (details.length ? '<div style="margin-top:4px;font-size:12px;color:var(--muted)">' + details.join(' | ') + '</div>' : '')
+        + '</td>'
+        + '<td style="white-space:nowrap"><button class="btn btn-sm btn-secondary" onclick="nvidiaResetGPU(' + g.index + ', this)">Reset GPU</button></td>'
+        + '</tr>';
+    }).join('');
+    table.innerHTML = '<table><tr><th>GPU</th><th>Model</th><th>ID</th><th>Status</th><th>Action</th></tr>' + rows + '</table>';
+  }).catch(e => {
+    status.textContent = 'Error loading NVIDIA GPU status: ' + e;
+    status.style.color = 'var(--crit-fg, #9f3a38)';
+    table.innerHTML = '';
+  });
+}
+loadNvidiaSelfHeal();
+</script>`
+}
+
 // ── Tools ─────────────────────────────────────────────────────────────────────
 
 func renderTools() string {
@@ -2847,6 +3088,9 @@ function installToRAM() {
 <div class="card"><div class="card-head">Tool Check <button class="btn btn-sm btn-secondary" onclick="checkTools()" style="margin-left:auto">&#8635; Check</button></div>
 <div class="card-body"><div id="tools-table"><p style="color:var(--muted);font-size:13px">Checking...</p></div></div></div>
 
+<div class="card"><div class="card-head">NVIDIA Self Heal</div><div class="card-body">` +
+		renderNvidiaSelfHealInline() + `</div></div>
+
 <div class="card"><div class="card-head">Network</div><div class="card-body">` +
 		renderNetworkInline() + `</div></div>
 

audit/internal/webui/server.go

@@ -302,6 +302,8 @@ func NewHandler(opts HandlerOptions) http.Handler {
 	// GPU presence / tools
 	mux.HandleFunc("GET /api/gpu/presence", h.handleAPIGPUPresence)
 	mux.HandleFunc("GET /api/gpu/nvidia", h.handleAPIGNVIDIAGPUs)
+	mux.HandleFunc("GET /api/gpu/nvidia-status", h.handleAPIGNVIDIAGPUStatuses)
+	mux.HandleFunc("POST /api/gpu/nvidia-reset", h.handleAPIGNVIDIAReset)
 	mux.HandleFunc("GET /api/gpu/tools", h.handleAPIGPUTools)
 
 	// System

audit/internal/webui/server_test.go

@@ -591,7 +591,7 @@ func TestTasksPageRendersOpenLinksAndPaginationControls(t *testing.T) {
 	}
 }
 
-func TestToolsPageRendersRestartGPUDriversButton(t *testing.T) {
+func TestToolsPageRendersNvidiaSelfHealSection(t *testing.T) {
 	handler := NewHandler(HandlerOptions{})
 	rec := httptest.NewRecorder()
 	handler.ServeHTTP(rec, httptest.NewRequest(http.MethodGet, "/tools", nil))
@@ -599,11 +599,20 @@ func TestToolsPageRendersRestartGPUDriversButton(t *testing.T) {
 		t.Fatalf("status=%d", rec.Code)
 	}
 	body := rec.Body.String()
+	if !strings.Contains(body, `NVIDIA Self Heal`) {
+		t.Fatalf("tools page missing nvidia self heal section: %s", body)
+	}
 	if !strings.Contains(body, `Restart GPU Drivers`) {
 		t.Fatalf("tools page missing restart gpu drivers button: %s", body)
 	}
-	if !strings.Contains(body, `restartGPUDrivers()`) {
+	if !strings.Contains(body, `nvidiaRestartDrivers()`) {
-		t.Fatalf("tools page missing restartGPUDrivers action: %s", body)
+		t.Fatalf("tools page missing nvidiaRestartDrivers action: %s", body)
+	}
+	if !strings.Contains(body, `/api/gpu/nvidia-status`) {
+		t.Fatalf("tools page missing nvidia status api usage: %s", body)
+	}
+	if !strings.Contains(body, `nvidiaResetGPU(`) {
+		t.Fatalf("tools page missing nvidiaResetGPU action: %s", body)
 	}
 	if !strings.Contains(body, `id="boot-source-text"`) {
 		t.Fatalf("tools page missing boot source field: %s", body)
@@ -684,8 +693,8 @@ func TestBenchmarkPageRendersSavedResultsTable(t *testing.T) {
 	for _, needle := range []string{
 		`Benchmark Results`,
 		`Composite score by saved benchmark run and GPU.`,
-		`NVIDIA H100 PCIe / GPU 0`,
+		`GPU #0 — NVIDIA H100 PCIe`,
-		`NVIDIA H100 PCIe / GPU 1`,
+		`GPU #1 — NVIDIA H100 PCIe`,
 		`#1`,
 		wantTime,
 		`1176.25`,
@@ -732,8 +741,8 @@ func TestBurnPageRendersGoalBasedNVIDIACards(t *testing.T) {
 	for _, needle := range []string{
 		`NVIDIA Max Compute Load`,
 		`dcgmproftester`,
-		`targeted_stress remain in <a href="/validate">Validate</a>`,
+		`NCCL`,
-		`NVIDIA Interconnect Test (NCCL all_reduce_perf)`,
+		`Validate → Stress mode`,
 		`id="burn-gpu-list"`,
 	} {
 		if !strings.Contains(body, needle) {

audit/internal/webui/tasks.go

@@ -39,6 +39,7 @@ var taskNames = map[string]string{
 	"nvidia-interconnect":    "NVIDIA Interconnect Test (NCCL all_reduce_perf)",
 	"nvidia-bandwidth":       "NVIDIA Bandwidth Test (NVBandwidth)",
 	"nvidia-stress":          "NVIDIA GPU Stress",
+	"hpl":                    "LINPACK (HPL)",
 	"memory":                 "Memory SAT",
 	"storage":                "Storage SAT",
 	"cpu":                    "CPU SAT",
@@ -115,14 +116,16 @@ type Task struct {
 // taskParams holds optional parameters parsed from the run request.
 type taskParams struct {
 	Duration           int      `json:"duration,omitempty"`
-	DiagLevel          int      `json:"diag_level,omitempty"`
+	StressMode         bool     `json:"stress_mode,omitempty"`
 	GPUIndices         []int    `json:"gpu_indices,omitempty"`
 	ExcludeGPUIndices  []int    `json:"exclude_gpu_indices,omitempty"`
 	SizeMB             int      `json:"size_mb,omitempty"`
+	Passes             int      `json:"passes,omitempty"`
 	Loader             string   `json:"loader,omitempty"`
 	BurnProfile        string   `json:"burn_profile,omitempty"`
 	BenchmarkProfile   string   `json:"benchmark_profile,omitempty"`
 	RunNCCL            bool     `json:"run_nccl,omitempty"`
+	ParallelGPUs       bool     `json:"parallel_gpus,omitempty"`
 	DisplayName        string   `json:"display_name,omitempty"`
 	Device             string   `json:"device,omitempty"` // for install
 	PlatformComponents []string `json:"platform_components,omitempty"`
@@ -214,11 +217,11 @@ var globalQueue = &taskQueue{trigger: make(chan struct{}, 1)}
 const maxTaskHistory = 50
 
 var (
-	runMemoryAcceptancePackCtx = func(a *app.App, ctx context.Context, baseDir string, logFunc func(string)) (string, error) {
+	runMemoryAcceptancePackCtx = func(a *app.App, ctx context.Context, baseDir string, sizeMB, passes int, logFunc func(string)) (string, error) {
-		return a.RunMemoryAcceptancePackCtx(ctx, baseDir, logFunc)
+		return a.RunMemoryAcceptancePackCtx(ctx, baseDir, sizeMB, passes, logFunc)
 	}
-	runStorageAcceptancePackCtx = func(a *app.App, ctx context.Context, baseDir string, logFunc func(string)) (string, error) {
+	runStorageAcceptancePackCtx = func(a *app.App, ctx context.Context, baseDir string, extended bool, logFunc func(string)) (string, error) {
-		return a.RunStorageAcceptancePackCtx(ctx, baseDir, logFunc)
+		return a.RunStorageAcceptancePackCtx(ctx, baseDir, extended, logFunc)
 	}
 	runCPUAcceptancePackCtx = func(a *app.App, ctx context.Context, baseDir string, durationSec int, logFunc func(string)) (string, error) {
 		return a.RunCPUAcceptancePackCtx(ctx, baseDir, durationSec, logFunc)
@@ -551,7 +554,10 @@ func (q *taskQueue) runTask(t *Task, j *jobState, ctx context.Context) {
 			err = fmt.Errorf("app not configured")
 			break
 		}
-		diagLevel := t.params.DiagLevel
+		diagLevel := 2
+		if t.params.StressMode {
+			diagLevel = 3
+		}
 		if len(t.params.GPUIndices) > 0 || diagLevel > 0 {
 			result, e := a.RunNvidiaAcceptancePackWithOptions(
 				ctx, "", diagLevel, t.params.GPUIndices, j.append,
@@ -585,6 +591,7 @@ func (q *taskQueue) runTask(t *Task, j *jobState, ctx context.Context) {
 			GPUIndices:        t.params.GPUIndices,
 			ExcludeGPUIndices: t.params.ExcludeGPUIndices,
 			RunNCCL:           t.params.RunNCCL,
+			ParallelGPUs:      t.params.ParallelGPUs,
 		}, j.append)
 	case "nvidia-compute":
 		if a == nil {
@@ -656,13 +663,17 @@ func (q *taskQueue) runTask(t *Task, j *jobState, ctx context.Context) {
 			err = fmt.Errorf("app not configured")
 			break
 		}
-		archive, err = runMemoryAcceptancePackCtx(a, ctx, "", j.append)
+		sizeMB, passes := 256, 1
+		if t.params.StressMode {
+			sizeMB, passes = 1024, 3
+		}
+		archive, err = runMemoryAcceptancePackCtx(a, ctx, "", sizeMB, passes, j.append)
 	case "storage":
 		if a == nil {
 			err = fmt.Errorf("app not configured")
 			break
 		}
-		archive, err = runStorageAcceptancePackCtx(a, ctx, "", j.append)
+		archive, err = runStorageAcceptancePackCtx(a, ctx, "", t.params.StressMode, j.append)
 	case "cpu":
 		if a == nil {
 			err = fmt.Errorf("app not configured")
@@ -673,8 +684,12 @@ func (q *taskQueue) runTask(t *Task, j *jobState, ctx context.Context) {
 			dur = resolveBurnPreset(t.params.BurnProfile).DurationSec
 		}
 		if dur <= 0 {
+			if t.params.StressMode {
+				dur = 1800
+			} else {
 				dur = 60
 			}
+		}
 		j.append(fmt.Sprintf("CPU stress duration: %ds", dur))
 		archive, err = runCPUAcceptancePackCtx(a, ctx, "", dur, j.append)
 	case "amd":
@@ -725,6 +740,19 @@ func (q *taskQueue) runTask(t *Task, j *jobState, ctx context.Context) {
 			dur = resolveBurnPreset(t.params.BurnProfile).DurationSec
 		}
 		archive, err = runSATStressPackCtx(a, ctx, "", dur, j.append)
+	case "hpl":
+		if a == nil {
+			err = fmt.Errorf("app not configured")
+			break
+		}
+		opts := platform.HPLOptions{
+			MemFraction: 0.80,
+			NB:          256,
+		}
+		archive, err = func() (string, error) {
+			path, _, runErr := a.RunHPL(ctx, "", opts, j.append)
+			return path, runErr
+		}()
 	case "platform-stress":
 		if a == nil {
 			err = fmt.Errorf("app not configured")

audit/internal/webui/tasks_test.go

@@ -422,7 +422,7 @@ func TestWriteTaskReportArtifactsIncludesBenchmarkResultsForTask(t *testing.T) {
 	for _, needle := range []string{
 		`Benchmark Results`,
 		`Composite score for this benchmark task.`,
-		`NVIDIA H100 PCIe / GPU 0`,
+		`GPU #0 — NVIDIA H100 PCIe`,
 		`1176.25`,
 	} {
 		if !strings.Contains(html, needle) {

iso/builder/VERSIONS

@@ -19,5 +19,7 @@ ROCRAND_VERSION=3.2.0.60304-76~22.04
 HIP_RUNTIME_AMD_VERSION=6.3.42134.60304-76~22.04
 HIPBLASLT_VERSION=0.10.0.60304-76~22.04
 COMGR_VERSION=2.8.0.60304-76~22.04
+HPL_VERSION=2.3
+HPL_SHA256=32c5c17d22330e6f2337b681aded51637fb6008d3f0eb7c277b163fadd612830
 GO_VERSION=1.24.0
 AUDIT_VERSION=1.0.0

iso/builder/bee-gpu-stress.c

@@ -36,7 +36,6 @@ typedef void *CUstream;
 #define MAX_CUBLAS_PROFILES 5
 #define MIN_PROFILE_BUDGET_BYTES ((size_t)4u * 1024u * 1024u)
 #define MIN_STREAM_BUDGET_BYTES ((size_t)64u * 1024u * 1024u)
-#define STRESS_LAUNCH_DEPTH 8
 
 static const char *ptx_source =
     ".version 6.0\n"
@@ -344,7 +343,6 @@ static int run_ptx_fallback(struct cuda_api *api,
     unsigned long iterations = 0;
     int mp_count = 0;
     int stream_count = 1;
-    int launches_per_wave = 0;
 
     memset(report, 0, sizeof(*report));
     snprintf(report->backend, sizeof(report->backend), "driver-ptx");
@@ -419,12 +417,10 @@ static int run_ptx_fallback(struct cuda_api *api,
 
     unsigned int threads = 256;
 
-    double start = now_seconds();
+    double deadline = now_seconds() + (double)seconds;
-    double deadline = start + (double)seconds;
+    double next_sync = now_seconds() + 1.0;
     while (now_seconds() < deadline) {
-        launches_per_wave = 0;
+        int launched = 0;
-        for (int depth = 0; depth < STRESS_LAUNCH_DEPTH && now_seconds() < deadline; depth++) {
-            int launched_this_batch = 0;
         for (int lane = 0; lane < stream_count; lane++) {
             unsigned int blocks = (unsigned int)((words[lane] + threads - 1) / threads);
             if (!check_rc(api,
@@ -442,21 +438,21 @@ static int run_ptx_fallback(struct cuda_api *api,
                                               NULL))) {
                 goto fail;
             }
-                launches_per_wave++;
+            launched++;
-                launched_this_batch++;
+            iterations++;
         }
-            if (launched_this_batch <= 0) {
+        if (launched <= 0) {
-                break;
-            }
-        }
-        if (launches_per_wave <= 0) {
             goto fail;
         }
+        double now = now_seconds();
+        if (now >= next_sync || now >= deadline) {
             if (!check_rc(api, "cuCtxSynchronize", api->cuCtxSynchronize())) {
                 goto fail;
             }
-        iterations += (unsigned long)launches_per_wave;
+            next_sync = now + 1.0;
         }
+    }
+    api->cuCtxSynchronize();
 
     if (!check_rc(api, "cuMemcpyDtoH", api->cuMemcpyDtoH(sample, device_mem[0], sizeof(sample)))) {
         goto fail;
@@ -468,11 +464,10 @@ static int run_ptx_fallback(struct cuda_api *api,
     report->iterations = iterations;
     snprintf(report->details,
              sizeof(report->details),
-             "fallback_int32=OK requested_mb=%d actual_mb=%d streams=%d queue_depth=%d per_stream_mb=%zu iterations=%lu\n",
+             "fallback_int32=OK requested_mb=%d actual_mb=%d streams=%d per_stream_mb=%zu iterations=%lu\n",
              size_mb,
              report->buffer_mb,
              report->stream_count,
-             STRESS_LAUNCH_DEPTH,
              bytes_per_stream[0] / (1024u * 1024u),
              iterations);
 
@@ -1140,7 +1135,6 @@ static int run_cublaslt_stress(struct cuda_api *cuda,
     int stream_count = 1;
     int profile_count = (int)(sizeof(k_profiles) / sizeof(k_profiles[0]));
     int prepared_count = 0;
-    int wave_launches = 0;
     size_t requested_budget = 0;
     size_t total_budget = 0;
     size_t per_profile_budget = 0;
@@ -1207,11 +1201,10 @@ static int run_cublaslt_stress(struct cuda_api *cuda,
     report->buffer_mb = (int)(total_budget / (1024u * 1024u));
     append_detail(report->details,
                   sizeof(report->details),
-                  "requested_mb=%d actual_mb=%d streams=%d queue_depth=%d mp_count=%d per_worker_mb=%zu\n",
+                  "requested_mb=%d actual_mb=%d streams=%d mp_count=%d per_worker_mb=%zu\n",
                   size_mb,
                   report->buffer_mb,
                   report->stream_count,
-                  STRESS_LAUNCH_DEPTH,
                   mp_count,
                   per_profile_budget / (1024u * 1024u));
 
@@ -1260,11 +1253,15 @@ static int run_cublaslt_stress(struct cuda_api *cuda,
         return 0;
     }
 
+    /* Keep the GPU queue continuously full by submitting kernels without
+     * synchronizing after every wave.  A sync barrier after each small batch
+     * creates CPU↔GPU ping-pong gaps that prevent full TDP utilisation,
+     * especially when individual kernels are short.  Instead we sync at most
+     * once per second (for error detection) and once at the very end. */
     double deadline = now_seconds() + (double)seconds;
+    double next_sync = now_seconds() + 1.0;
     while (now_seconds() < deadline) {
-        wave_launches = 0;
+        int launched = 0;
-        for (int depth = 0; depth < STRESS_LAUNCH_DEPTH && now_seconds() < deadline; depth++) {
-            int launched_this_batch = 0;
         for (int i = 0; i < prepared_count; i++) {
             if (!prepared[i].ready) {
                 continue;
@@ -1284,16 +1281,13 @@ static int run_cublaslt_stress(struct cuda_api *cuda,
             }
             prepared[i].iterations++;
             report->iterations++;
-                wave_launches++;
+            launched++;
-                launched_this_batch++;
         }
-            if (launched_this_batch <= 0) {
+        if (launched <= 0) {
-                break;
-            }
-        }
-        if (wave_launches <= 0) {
             break;
         }
+        double now = now_seconds();
+        if (now >= next_sync || now >= deadline) {
             if (!check_rc(cuda, "cuCtxSynchronize", cuda->cuCtxSynchronize())) {
                 for (int i = 0; i < prepared_count; i++) {
                     destroy_profile(&cublas, cuda, &prepared[i]);
@@ -1303,7 +1297,11 @@ static int run_cublaslt_stress(struct cuda_api *cuda,
                 cuda->cuCtxDestroy(ctx);
                 return 0;
             }
+            next_sync = now + 1.0;
         }
+    }
+    /* Final drain — ensure all queued work finishes before we read results. */
+    cuda->cuCtxSynchronize();
 
     for (int i = 0; i < prepared_count; i++) {
         if (!prepared[i].ready) {

iso/builder/build-hpl.sh

@@ -0,0 +1,244 @@
+#!/bin/sh
+# build-hpl.sh — build HPL (High Performance LINPACK) for the bee LiveCD.
+#
+# Downloads HPL 2.3 from netlib, downloads OpenBLAS runtime from the Debian 12
+# apt repo, and compiles xhpl using a minimal single-process MPI stub so that
+# no MPI package is required inside the ISO.
+#
+# The resulting xhpl binary is a standard HPL binary whose output is compatible
+# with the accepted HPL format (WR... Gflops lines).
+#
+# Output:
+#   $CACHE_DIR/bin/xhpl
+#   $CACHE_DIR/lib/libopenblas.so*   (runtime, injected into ISO /usr/lib/)
+
+set -e
+
+HPL_VERSION="$1"
+HPL_SHA256="$2"
+DIST_DIR="$3"
+
+[ -n "$HPL_VERSION" ] || { echo "usage: $0 <hpl-version> <sha256> <dist-dir>"; exit 1; }
+[ -n "$HPL_SHA256"  ] || { echo "usage: $0 <hpl-version> <sha256> <dist-dir>"; exit 1; }
+[ -n "$DIST_DIR"    ] || { echo "usage: $0 <hpl-version> <sha256> <dist-dir>"; exit 1; }
+
+echo "=== HPL ${HPL_VERSION} ==="
+
+CACHE_DIR="${DIST_DIR}/hpl-${HPL_VERSION}"
+CACHE_ROOT="${BEE_CACHE_DIR:-${DIST_DIR}/cache}"
+DOWNLOAD_CACHE_DIR="${CACHE_ROOT}/hpl-downloads"
+
+if [ -x "${CACHE_DIR}/bin/xhpl" ]; then
+    echo "=== HPL cached, skipping build ==="
+    echo "binary: ${CACHE_DIR}/bin/xhpl"
+    exit 0
+fi
+
+mkdir -p "${DOWNLOAD_CACHE_DIR}" "${CACHE_DIR}/bin" "${CACHE_DIR}/lib"
+
+# ── download HPL source ────────────────────────────────────────────────────────
+HPL_TAR="${DOWNLOAD_CACHE_DIR}/hpl-${HPL_VERSION}.tar.gz"
+HPL_URL="https://www.netlib.org/benchmark/hpl/hpl-${HPL_VERSION}.tar.gz"
+
+if [ ! -f "${HPL_TAR}" ]; then
+    echo "=== downloading HPL ${HPL_VERSION} ==="
+    wget --show-progress -O "${HPL_TAR}" "${HPL_URL}"
+fi
+
+actual_sha="$(sha256sum "${HPL_TAR}" | awk '{print $1}')"
+if [ "${actual_sha}" != "${HPL_SHA256}" ]; then
+    echo "ERROR: sha256 mismatch for hpl-${HPL_VERSION}.tar.gz" >&2
+    echo "  expected: ${HPL_SHA256}" >&2
+    echo "  actual:   ${actual_sha}" >&2
+    rm -f "${HPL_TAR}"
+    exit 1
+fi
+echo "sha256 OK: hpl-${HPL_VERSION}.tar.gz"
+
+# ── download OpenBLAS from Debian 12 apt repo ─────────────────────────────────
+REPO_BASE="https://deb.debian.org/debian/pool/main/o/openblas"
+PACKAGES_GZ="${DOWNLOAD_CACHE_DIR}/Packages.gz"
+OPENBLAS_PKG="libopenblas0-openmp"
+
+echo "=== fetching Debian 12 Packages.gz ==="
+wget -q -O "${PACKAGES_GZ}" \
+    "https://deb.debian.org/debian/dists/bookworm/main/binary-amd64/Packages.gz"
+
+lookup_deb() {
+    pkg="$1"
+    gzip -dc "${PACKAGES_GZ}" | awk -v pkg="$pkg" '
+        /^Package: / { cur=$2 }
+        /^Filename: / { file=$2 }
+        /^SHA256: /  { sha=$2 }
+        /^$/ {
+            if (cur == pkg) { print file " " sha; exit }
+            cur=""; file=""; sha=""
+        }
+        END {
+            if (cur == pkg) print file " " sha
+        }'
+}
+
+meta="$(lookup_deb "${OPENBLAS_PKG}")"
+[ -n "$meta" ] || { echo "ERROR: ${OPENBLAS_PKG} not found in Packages.gz"; exit 1; }
+repo_file="$(printf '%s' "$meta" | awk '{print $1}')"
+repo_sha="$(printf '%s'  "$meta" | awk '{print $2}')"
+
+OPENBLAS_DEB="${DOWNLOAD_CACHE_DIR}/$(basename "${repo_file}")"
+if [ -f "${OPENBLAS_DEB}" ]; then
+    actual="$(sha256sum "${OPENBLAS_DEB}" | awk '{print $1}')"
+    [ "$actual" = "$repo_sha" ] || rm -f "${OPENBLAS_DEB}"
+fi
+if [ ! -f "${OPENBLAS_DEB}" ]; then
+    echo "=== downloading ${OPENBLAS_PKG} ==="
+    wget --show-progress -O "${OPENBLAS_DEB}" "https://deb.debian.org/debian/${repo_file}"
+    actual="$(sha256sum "${OPENBLAS_DEB}" | awk '{print $1}')"
+    [ "$actual" = "$repo_sha" ] || { echo "ERROR: sha256 mismatch for ${OPENBLAS_PKG}"; rm -f "${OPENBLAS_DEB}"; exit 1; }
+fi
+
+# extract libopenblas shared libs
+TMP_DEB=$(mktemp -d)
+trap 'rm -rf "${TMP_DEB}" "${BUILD_TMP:-}"' EXIT INT TERM
+(
+    cd "${TMP_DEB}"
+    ar x "${OPENBLAS_DEB}"
+    tar xf data.tar.*
+)
+find "${TMP_DEB}" \( -name 'libopenblas*.so*' \) \( -type f -o -type l \) \
+    -exec cp -a {} "${CACHE_DIR}/lib/" \;
+echo "=== OpenBLAS libs: $(ls "${CACHE_DIR}/lib/" | wc -l) files ==="
+
+# also need libopenblas-dev header for compilation (we only need the .so symlink)
+OPENBLAS_SO="$(find "${CACHE_DIR}/lib" -maxdepth 1 -name 'libopenblas.so.*' -type f | sort | head -1)"
+[ -n "${OPENBLAS_SO}" ] || { echo "ERROR: libopenblas.so not extracted"; exit 1; }
+SONAME="$(basename "${OPENBLAS_SO}")"
+ln -sf "${SONAME}" "${CACHE_DIR}/lib/libopenblas.so" 2>/dev/null || true
+ln -sf "${SONAME}" "${CACHE_DIR}/lib/libblas.so" 2>/dev/null || true
+
+# ── build HPL ─────────────────────────────────────────────────────────────────
+BUILD_TMP=$(mktemp -d)
+
+cd "${BUILD_TMP}"
+tar xf "${HPL_TAR}"
+SRC_DIR="$(find . -maxdepth 1 -type d -name 'hpl-*' | head -1)"
+[ -n "${SRC_DIR}" ] || { echo "ERROR: HPL source dir not found"; exit 1; }
+cd "${SRC_DIR}"
+
+# Write a minimal single-process MPI stub so we don't need an MPI package.
+# HPL only needs these functions for single-process execution.
+cat > "${BUILD_TMP}/mpi_stub.c" <<'MPISTUB'
+#include <stdlib.h>
+#include <string.h>
+#include <sys/time.h>
+
+typedef int MPI_Comm;
+typedef int MPI_Datatype;
+typedef int MPI_Op;
+typedef int MPI_Status;
+typedef int MPI_Request;
+
+#define MPI_COMM_WORLD 0
+#define MPI_SUCCESS    0
+#define MPI_DOUBLE     6
+#define MPI_INT        5
+#define MPI_SUM        0
+#define MPI_MAX        1
+#define MPI_MIN        2
+#define MPI_BYTE       1
+#define MPI_ANY_SOURCE -1
+#define MPI_ANY_TAG    -1
+#define MPI_STATUS_IGNORE ((MPI_Status*)0)
+
+int MPI_Init(int *argc, char ***argv)          { (void)argc; (void)argv; return MPI_SUCCESS; }
+int MPI_Finalize(void)                          { return MPI_SUCCESS; }
+int MPI_Comm_rank(MPI_Comm c, int *rank)        { (void)c; *rank = 0; return MPI_SUCCESS; }
+int MPI_Comm_size(MPI_Comm c, int *size)        { (void)c; *size = 1; return MPI_SUCCESS; }
+int MPI_Bcast(void *b, int n, MPI_Datatype t, int r, MPI_Comm c)
+    { (void)b;(void)n;(void)t;(void)r;(void)c; return MPI_SUCCESS; }
+int MPI_Reduce(const void *s, void *r, int n, MPI_Datatype t, MPI_Op op, int root, MPI_Comm c) {
+    (void)op;(void)root;(void)c;
+    size_t sz = (t==MPI_DOUBLE)?sizeof(double):(t==MPI_INT)?sizeof(int):1;
+    memcpy(r, s, (size_t)n * sz);
+    return MPI_SUCCESS;
+}
+int MPI_Allreduce(const void *s, void *r, int n, MPI_Datatype t, MPI_Op op, MPI_Comm c)
+    { return MPI_Reduce(s,r,n,t,op,0,c); }
+int MPI_Send(const void *b, int n, MPI_Datatype t, int d, int tag, MPI_Comm c)
+    { (void)b;(void)n;(void)t;(void)d;(void)tag;(void)c; return MPI_SUCCESS; }
+int MPI_Recv(void *b, int n, MPI_Datatype t, int s, int tag, MPI_Comm c, MPI_Status *st)
+    { (void)b;(void)n;(void)t;(void)s;(void)tag;(void)c;(void)st; return MPI_SUCCESS; }
+int MPI_Sendrecv(const void *sb, int sn, MPI_Datatype st2, int dest, int stag,
+                 void *rb, int rn, MPI_Datatype rt, int src, int rtag,
+                 MPI_Comm c, MPI_Status *status)
+    { (void)sb;(void)sn;(void)st2;(void)dest;(void)stag;
+      (void)rb;(void)rn;(void)rt;(void)src;(void)rtag;(void)c;(void)status;
+      return MPI_SUCCESS; }
+int MPI_Irecv(void *b, int n, MPI_Datatype t, int s, int tag, MPI_Comm c, MPI_Request *req)
+    { (void)b;(void)n;(void)t;(void)s;(void)tag;(void)c;(void)req; return MPI_SUCCESS; }
+int MPI_Wait(MPI_Request *req, MPI_Status *st)
+    { (void)req;(void)st; return MPI_SUCCESS; }
+int MPI_Abort(MPI_Comm c, int code) { (void)c; exit(code); }
+double MPI_Wtime(void) {
+    struct timeval tv;
+    gettimeofday(&tv, NULL);
+    return (double)tv.tv_sec + (double)tv.tv_usec * 1e-6;
+}
+MPISTUB
+
+# Write Make.bee — HPL makefile configuration
+cat > Make.bee <<MAKEFILE
+SHELL        = /bin/sh
+CD           = cd
+CP           = cp
+LN_S         = ln -s
+MKDIR        = mkdir -p
+RM           = /bin/rm -f
+TOUCH        = touch
+ARCH         = bee
+
+# Directories
+TOPdir       = \$(shell pwd)
+INCdir       = \$(TOPdir)/include
+BINdir       = \$(TOPdir)/bin/\$(ARCH)
+LIBdir       = \$(TOPdir)/lib/\$(ARCH)
+HPLlib       = \$(LIBdir)/libhpl.a
+
+# Compiler
+CC           = gcc
+CCNOOPT      = \$(HPL_DEFS)
+CCFLAGS      = \$(HPL_DEFS) -O3 -march=native -funroll-loops -fomit-frame-pointer
+
+# Linker
+LINKER       = gcc
+LINKFLAGS    = \$(CCFLAGS)
+
+# MPI (single-process stub — no actual MPI needed)
+MPdir        =
+MPinc        = -I${BUILD_TMP}
+MPlib        = ${BUILD_TMP}/mpi_stub.o
+
+# BLAS (OpenBLAS)
+LAdir        = ${CACHE_DIR}/lib
+LAinc        =
+LAlib        = -L\$(LAdir) -Wl,-rpath,/usr/lib -lopenblas
+
+HPL_OPTS     =
+HPL_DEFS     = \$(HPL_OPTS) -DHPL_CALL_CBLAS
+MAKEFILE
+echo "=== Make.bee written ==="
+
+# compile MPI stub
+gcc -O2 -c -o "${BUILD_TMP}/mpi_stub.o" "${BUILD_TMP}/mpi_stub.c"
+
+# build HPL
+echo "=== building HPL ${HPL_VERSION} ==="
+make -j"$(nproc)" arch=bee 2>&1 | tail -20
+
+XHPL_BIN="bin/bee/xhpl"
+[ -x "${XHPL_BIN}" ] || { echo "ERROR: xhpl not found after build"; exit 1; }
+
+cp "${XHPL_BIN}" "${CACHE_DIR}/bin/xhpl"
+chmod +x "${CACHE_DIR}/bin/xhpl"
+echo "=== HPL build complete ==="
+echo "binary: ${CACHE_DIR}/bin/xhpl"
+echo "libs:   $(ls "${CACHE_DIR}/lib/")"

iso/builder/build.sh

@@ -1148,6 +1148,19 @@ if [ "$BEE_GPU_VENDOR" = "nvidia" ]; then
     echo "=== john injected ==="
 fi
 
+# --- build HPL (CPU LINPACK) — runs on all variants ---
+run_step "build HPL ${HPL_VERSION}" "80-hpl" \
+    sh "${BUILDER_DIR}/build-hpl.sh" "${HPL_VERSION}" "${HPL_SHA256}" "${DIST_DIR}"
+
+HPL_CACHE="${DIST_DIR}/hpl-${HPL_VERSION}"
+mkdir -p "${OVERLAY_STAGE_DIR}/usr/local/lib/bee"
+cp "${HPL_CACHE}/bin/xhpl" "${OVERLAY_STAGE_DIR}/usr/local/lib/bee/xhpl"
+chmod +x "${OVERLAY_STAGE_DIR}/usr/local/lib/bee/xhpl"
+chmod +x "${OVERLAY_STAGE_DIR}/usr/local/bin/bee-hpl" 2>/dev/null || true
+# Inject OpenBLAS runtime libs needed by xhpl
+cp "${HPL_CACHE}/lib/"* "${OVERLAY_STAGE_DIR}/usr/lib/" 2>/dev/null || true
+echo "=== HPL injected: xhpl + $(ls "${HPL_CACHE}/lib/" | wc -l) OpenBLAS libs ==="
+
 # --- embed build metadata ---
 mkdir -p "${OVERLAY_STAGE_DIR}/etc"
 BUILD_DATE="$(date +%Y-%m-%d)"
@@ -1180,6 +1193,7 @@ BUILD_DATE=${BUILD_DATE}
 GIT_COMMIT=${GIT_COMMIT}
 DEBIAN_VERSION=${DEBIAN_VERSION}
 DEBIAN_KERNEL_ABI=${DEBIAN_KERNEL_ABI}
+HPL_VERSION=${HPL_VERSION}
 ${GPU_VERSION_LINE}
 EOF
 

iso/builder/config/hooks/normal/9001-wallpaper.hook.chroot

@@ -5,69 +5,110 @@ echo "=== generating bee wallpaper ==="
 mkdir -p /usr/share/bee
 
 python3 - <<'PYEOF'
-from PIL import Image, ImageDraw, ImageFont
+from PIL import Image, ImageDraw, ImageFont, ImageFilter
 import os
 
 W, H = 1920, 1080
 
-LOGO = """\
+GLYPHS = {
-  \u2588\u2588\u2588\u2588\u2588\u2588\u2557 \u2588\u2588\u2588\u2588\u2588\u2557 \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2557\u2588\u2588\u2557   \u2588\u2588\u2557      \u2588\u2588\u2588\u2588\u2588\u2588\u2557 \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2557\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2557
+    'E': ["11111", "10000", "11110", "10000", "10000", "10000", "11111"],
-  \u2588\u2588\u2554\u2550\u2550\u2550\u2550\u255d\u2588\u2588\u2554\u2550\u2550\u2588\u2588\u2557\u2588\u2588\u2554\u2550\u2550\u2550\u2550\u255d\u255a\u2588\u2588\u2557 \u2588\u2588\u2554\u255d      \u2588\u2588\u2554\u2550\u2550\u2588\u2588\u2557\u2588\u2588\u2554\u2550\u2550\u2550\u2550\u255d\u2588\u2588\u2554\u2550\u2550\u2550\u2550\u255d
+    'A': ["01110", "10001", "10001", "11111", "10001", "10001", "10001"],
-  \u2588\u2588\u2588\u2588\u2588\u2557  \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2551\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2557 \u255a\u2588\u2588\u2588\u2588\u2554\u255d \u2588\u2588\u2588\u2588\u2588\u2557\u2588\u2588\u2588\u2588\u2588\u2588\u2554\u255d\u2588\u2588\u2588\u2588\u2588\u2557  \u2588\u2588\u2588\u2588\u2588\u2557
+    'S': ["01111", "10000", "10000", "01110", "00001", "00001", "11110"],
-  \u2588\u2588\u2554\u2550\u2550\u255d  \u2588\u2588\u2554\u2550\u2550\u2588\u2588\u2551\u255a\u2550\u2550\u2550\u2550\u2588\u2588\u2551  \u255a\u2588\u2588\u2554\u255d  \u255a\u2550\u2550\u2550\u2550\u255d\u2588\u2588\u2554\u2550\u2550\u2588\u2588\u2557\u2588\u2588\u2554\u2550\u2550\u255d  \u2588\u2588\u2554\u2550\u2550\u255d
+    'Y': ["10001", "10001", "01010", "00100", "00100", "00100", "00100"],
-  \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2557\u2588\u2588\u2551  \u2588\u2588\u2551\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2551   \u2588\u2588\u2551         \u2588\u2588\u2588\u2588\u2588\u2588\u2554\u255d\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2557\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2557
+    'B': ["11110", "10001", "10001", "11110", "10001", "10001", "11110"],
-  \u255a\u2550\u2550\u2550\u2550\u2550\u2550\u255d\u255a\u2550\u255d  \u255a\u2550\u255d\u255a\u2550\u2550\u2550\u2550\u2550\u2550\u255d   \u255a\u2550\u255d         \u255a\u2550\u2550\u2550\u2550\u2550\u255d \u255a\u2550\u2550\u2550\u2550\u2550\u2550\u255d\u255a\u2550\u2550\u2550\u2550\u2550\u2550\u255d
+    '-': ["00000", "00000", "11111", "00000", "00000", "00000", "00000"],
-  Hardware Audit LiveCD"""
+}
 
-# Find a monospace font that supports box-drawing characters
+TITLE = "EASY-BEE"
-FONT_CANDIDATES = [
+SUBTITLE = "Hardware Audit LiveCD"
-    '/usr/share/fonts/truetype/dejavu/DejaVuSansMono.ttf',
+CELL = 30
-    '/usr/share/fonts/truetype/liberation/LiberationMono-Regular.ttf',
+GLYPH_GAP = 18
-    '/usr/share/fonts/truetype/freefont/FreeMono.ttf',
+ROW_GAP = 6
-    '/usr/share/fonts/truetype/noto/NotoMono-Regular.ttf',
+
+FG = (0xF6, 0xD0, 0x47)
+FG_DIM = (0xD4, 0xA9, 0x1C)
+SHADOW = (0x5E, 0x47, 0x05)
+SUB = (0x96, 0x7A, 0x17)
+BG = (0x05, 0x05, 0x05)
+
+SUB_FONT_CANDIDATES = [
+    '/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf',
+    '/usr/share/fonts/truetype/liberation2/LiberationSans-Bold.ttf',
+    '/usr/share/fonts/truetype/liberation/LiberationSans-Bold.ttf',
+    '/usr/share/fonts/truetype/freefont/FreeSansBold.ttf',
 ]
 
-font_path = None
-for p in FONT_CANDIDATES:
-    if os.path.exists(p):
-        font_path = p
-        break
 
-SIZE = 22
+def load_font(size):
-if font_path:
+    for path in SUB_FONT_CANDIDATES:
-    font_logo = ImageFont.truetype(font_path, SIZE)
+        if os.path.exists(path):
-    font_sub  = ImageFont.truetype(font_path, SIZE)
+            return ImageFont.truetype(path, size)
-else:
+    return ImageFont.load_default()
-    font_logo = ImageFont.load_default()
-    font_sub  = font_logo
 
-img  = Image.new('RGB', (W, H), (0, 0, 0))
+
+def glyph_width(ch):
+    return len(GLYPHS[ch][0])
+
+
+def render_logo_mask():
+    width_cells = 0
+    for idx, ch in enumerate(TITLE):
+        width_cells += glyph_width(ch)
+        if idx != len(TITLE) - 1:
+            width_cells += 1
+    mask_w = width_cells * CELL + (len(TITLE) - 1) * GLYPH_GAP
+    mask_h = 7 * CELL + 6 * ROW_GAP
+    mask = Image.new('L', (mask_w, mask_h), 0)
+    draw = ImageDraw.Draw(mask)
+
+    cx = 0
+    for idx, ch in enumerate(TITLE):
+        glyph = GLYPHS[ch]
+        for row_idx, row in enumerate(glyph):
+            for col_idx, cell in enumerate(row):
+                if cell != '1':
+                    continue
+                x0 = cx + col_idx * CELL
+                y0 = row_idx * (CELL + ROW_GAP)
+                x1 = x0 + CELL - 4
+                y1 = y0 + CELL - 4
+                draw.rounded_rectangle((x0, y0, x1, y1), radius=4, fill=255)
+        cx += glyph_width(ch) * CELL
+        if idx != len(TITLE) - 1:
+            cx += CELL + GLYPH_GAP
+    return mask
+
+
+img = Image.new('RGB', (W, H), BG)
 draw = ImageDraw.Draw(img)
 
-# Measure logo block line by line to avoid font ascender offset
+# Soft amber glow under the logo without depending on font rendering.
-lines = LOGO.split('\n')
+glow = Image.new('RGBA', (W, H), (0, 0, 0, 0))
-logo_lines = lines[:6]
+glow_draw = ImageDraw.Draw(glow)
-sub_line   = lines[6] if len(lines) > 6 else ''
+glow_draw.ellipse((360, 250, 1560, 840), fill=(180, 120, 10, 56))
+glow_draw.ellipse((520, 340, 1400, 760), fill=(255, 190, 40, 36))
+glow = glow.filter(ImageFilter.GaussianBlur(60))
+img = Image.alpha_composite(img.convert('RGBA'), glow)
 
-line_h = SIZE + 2
+logo_mask = render_logo_mask()
-block_h = len(logo_lines) * line_h + 8 + (SIZE if sub_line else 0)
+logo_w, logo_h = logo_mask.size
+logo_x = (W - logo_w) // 2
+logo_y = 290
 
-# Width: measure the widest logo line
+shadow_mask = logo_mask.filter(ImageFilter.GaussianBlur(2))
-max_w = 0
+img.paste(SHADOW, (logo_x + 16, logo_y + 14), shadow_mask)
-for line in logo_lines:
+img.paste(FG_DIM, (logo_x + 8, logo_y + 7), logo_mask)
-    bb = draw.textbbox((0, 0), line, font=font_logo)
+img.paste(FG, (logo_x, logo_y), logo_mask)
-    max_w = max(max_w, bb[2] - bb[0])
 
-x = (W - max_w) // 2
+font_sub = load_font(30)
-y = (H - block_h) // 2
+sub_bb = draw.textbbox((0, 0), SUBTITLE, font=font_sub)
+sub_x = (W - (sub_bb[2] - sub_bb[0])) // 2
+sub_y = logo_y + logo_h + 54
+draw = ImageDraw.Draw(img)
+draw.text((sub_x + 2, sub_y + 2), SUBTITLE, font=font_sub, fill=(35, 28, 6))
+draw.text((sub_x, sub_y), SUBTITLE, font=font_sub, fill=SUB)
 
-cy = y
+img = img.convert('RGB')
-for line in logo_lines:
-    draw.text((x, cy), line, font=font_logo, fill=(0xf6, 0xc9, 0x0e))
-    cy += line_h
-cy += 8
-if sub_line:
-    draw.text((x, cy), sub_line, font=font_sub, fill=(0x80, 0x68, 0x18))
 
 img.save('/usr/share/bee/wallpaper.png', optimize=True)
 print('wallpaper written: /usr/share/bee/wallpaper.png')

iso/overlay/usr/local/bin/bee-hpl

@@ -0,0 +1,97 @@
+#!/bin/sh
+# bee-hpl — run HPL (High Performance LINPACK) with auto-sized problem.
+#
+# Generates HPL.dat based on available RAM, runs xhpl, and prints standard
+# HPL output. The WR... line with Gflops is parsed by the bee audit tool.
+#
+# Usage: bee-hpl [--mem-fraction 0.80] [--nb 256] [--seconds N]
+#
+# --mem-fraction   fraction of total RAM to use for the matrix (default 0.80)
+# --nb             block size; 256 is good for modern CPUs (default 256)
+# --seconds        ignored — HPL runtime is determined by problem size; kept
+#                  for interface compatibility with other bee stress tools
+
+set -eu
+
+XHPL="/usr/local/lib/bee/xhpl"
+MEM_FRACTION="0.80"
+NB=256
+
+usage() {
+    echo "usage: $0 [--mem-fraction 0.80] [--nb 256] [--seconds N]" >&2
+    exit 2
+}
+
+while [ "$#" -gt 0 ]; do
+    case "$1" in
+        --mem-fraction) [ "$#" -ge 2 ] || usage; MEM_FRACTION="$2"; shift 2 ;;
+        --nb)           [ "$#" -ge 2 ] || usage; NB="$2"; shift 2 ;;
+        --seconds)      [ "$#" -ge 2 ] || usage; shift 2 ;;  # accepted, ignored
+        *) usage ;;
+    esac
+done
+
+[ -x "${XHPL}" ] || { echo "ERROR: xhpl not found at ${XHPL}" >&2; exit 1; }
+
+# Detect total RAM in bytes
+TOTAL_KB=$(grep MemTotal /proc/meminfo | awk '{print $2}')
+[ -n "${TOTAL_KB}" ] || { echo "ERROR: cannot read MemTotal from /proc/meminfo" >&2; exit 1; }
+TOTAL_BYTES=$(( TOTAL_KB * 1024 ))
+
+# N = floor(sqrt(fraction * total_bytes / 8)) rounded down to multiple of NB
+# Use awk for floating-point sqrt
+N=$(awk -v total="${TOTAL_BYTES}" -v frac="${MEM_FRACTION}" -v nb="${NB}" '
+BEGIN {
+    raw = int(sqrt(total * frac / 8.0))
+    n   = int(raw / nb) * nb
+    if (n < nb) n = nb
+    print n
+}')
+
+echo "loader=bee-hpl"
+echo "total_ram_mb=$(( TOTAL_KB / 1024 ))"
+echo "matrix_n=${N}"
+echo "block_nb=${NB}"
+echo "mem_fraction=${MEM_FRACTION}"
+
+# Generate HPL.dat in a temp directory and run from there
+RUNDIR=$(mktemp -d)
+trap 'rm -rf "${RUNDIR}"' EXIT INT TERM
+
+cat > "${RUNDIR}/HPL.dat" <<DAT
+HPLinpack benchmark input file
+Innovative Computing Laboratory, University of Tennessee
+HPL.out        output file name (if any)
+6              device out (6=stdout, 7=stderr, file)
+1              # of problems sizes (N)
+${N}           Ns
+1              # of NBs
+${NB}          NBs
+0              PMAP process mapping (0=Row-,1=Column-major)
+1              # of process grids (P x Q)
+1              Ps
+1              Qs
+16.0           threshold
+1              # of panel fact
+2              PFACTs (0=left, 1=Crout, 2=Right)
+1              # of recursive stopping criterium
+4              NBMINs (>= 1)
+1              # of panels in recursion
+2              NDIVs
+1              # of recursive panel fact.
+1              RFACTs (0=left, 1=Crout, 2=Right)
+1              # of broadcast
+1              BCASTs (0=1rg,1=1rM,2=2rg,3=2rM,4=Lng,5=LnM)
+1              # of lookahead depth
+1              DEPTHs (>=0)
+2              SWAP (0=bin-exch,1=long,2=mix)
+64             swapping threshold
+0              L1 in (0=transposed,1=no-transposed) form
+0              U  in (0=transposed,1=no-transposed) form
+1              Equilibration (0=no,1=yes)
+8              memory alignment in double (> 0)
+DAT
+
+cd "${RUNDIR}"
+echo "---"
+"${XHPL}"