Add per-precision benchmark phases, weighted TOPS scoring, and ECC tracking

- Split steady window into 6 equal slots: fp8/fp16/fp32/fp64/fp4 + combined
- Each precision phase runs bee-gpu-burn with --precision filter so PowerCVPct reflects single-kernel stability (not round-robin artifact)
- Add fp4 support in bee-gpu-stress.c for Blackwell (cc>=100) via existing CUDA_R_4F_E2M1 guard
- Weighted TOPS: fp64×2.0, fp32×1.0, fp16×0.5, fp8×0.25, fp4×0.125
- SyntheticScore = sum of weighted TOPS from per-precision phases
- MixedScore = sum from combined phase; MixedEfficiency = Mixed/Synthetic
- ComputeScore = SyntheticScore × (1 + MixedEfficiency × 0.3)
- ECC volatile counters sampled before/after each phase and overall
- DegradationReasons: ecc_uncorrected_errors, ecc_corrected_errors
- Report: per-precision stability table with ECC columns, methodology section
- Ramp-up history table redesign: GPU indices as columns, runs as rows

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

audit/internal/app/app.go

@@ -190,6 +190,7 @@ func (a *App) RunAudit(runtimeMode runtimeenv.Mode, output string) (string, erro
 	}
 	result := collector.Run(runtimeMode)
 	applyLatestSATStatuses(&result.Hardware, DefaultSATBaseDir, a.StatusDB)
+	writePSUStatusesToDB(a.StatusDB, result.Hardware.PowerSupplies)
 	if health, err := ReadRuntimeHealth(DefaultRuntimeJSONPath); err == nil {
 		result.Runtime = &health
 	}
@@ -926,6 +927,41 @@ func bodyOr(body, fallback string) string {
 	return body
 }
 
+// writePSUStatusesToDB records PSU statuses collected during audit into the
+// component-status DB so they are visible in the Hardware Summary card.
+// PSU status is sourced from IPMI (ipmitool fru + sdr) during audit.
+func writePSUStatusesToDB(db *ComponentStatusDB, psus []schema.HardwarePowerSupply) {
+	if db == nil || len(psus) == 0 {
+		return
+	}
+	const source = "audit:ipmi"
+	worstStatus := "OK"
+	for _, psu := range psus {
+		if psu.Status == nil {
+			continue
+		}
+		slot := "?"
+		if psu.Slot != nil {
+			slot = *psu.Slot
+		}
+		st := *psu.Status
+		detail := ""
+		if psu.ErrorDescription != nil {
+			detail = *psu.ErrorDescription
+		}
+		db.Record("psu:"+slot, source, st, detail)
+		switch st {
+		case "Critical":
+			worstStatus = "Critical"
+		case "Warning":
+			if worstStatus != "Critical" {
+				worstStatus = "Warning"
+			}
+		}
+	}
+	db.Record("psu:all", source, worstStatus, "")
+}
+
 func ReadRuntimeHealth(path string) (schema.RuntimeHealth, error) {
 	raw, err := os.ReadFile(path)
 	if err != nil {

audit/internal/app/support_bundle.go

@@ -213,7 +213,7 @@ func BuildSupportBundle(exportDir string) (string, error) {
 
 	now := time.Now().UTC()
 	date := now.Format("2006-01-02")
-	tod := now.Format("15:04:05")
+	tod := now.Format("150405")
 	ver := bundleVersion()
 	model := serverModelForBundle()
 	sn := serverSerialForBundle()

audit/internal/collector/nic_mellanox.go

@@ -179,11 +179,3 @@ func commandOutputWithTimeout(timeout time.Duration, name string, args ...string
 	defer cancel()
 	return exec.CommandContext(ctx, name, args...).Output()
 }
-
-func interfaceHasCarrier(iface string) bool {
-	raw, err := readNetCarrierFile(iface)
-	if err != nil {
-		return false
-	}
-	return strings.TrimSpace(raw) == "1"
-}

audit/internal/collector/nic_telemetry.go

@@ -58,12 +58,10 @@ func enrichPCIeWithNICTelemetry(devs []schema.HardwarePCIeDevice) []schema.Hardw
 			}
 		}
 
-		if interfaceHasCarrier(iface) {
-			if out, err := ethtoolModuleQuery(iface); err == nil {
-				if injectSFPDOMTelemetry(&devs[i], out) {
-					enriched++
-					continue
-				}
+		if out, err := ethtoolModuleQuery(iface); err == nil {
+			if injectSFPDOMTelemetry(&devs[i], out) {
+				enriched++
+				continue
 			}
 		}
 		if len(devs[i].MacAddresses) > 0 || devs[i].Firmware != nil {
@@ -115,8 +113,38 @@ func injectSFPDOMTelemetry(dev *schema.HardwarePCIeDevice, raw string) bool {
 		}
 		key := strings.ToLower(strings.TrimSpace(trimmed[:idx]))
 		val := strings.TrimSpace(trimmed[idx+1:])
+		if val == "" || strings.EqualFold(val, "not supported") || strings.EqualFold(val, "unknown") {
+			continue
+		}
 
 		switch {
+		case key == "identifier":
+			s := parseSFPIdentifier(val)
+			dev.SFPIdentifier = &s
+			t := true
+			dev.SFPPresent = &t
+			changed = true
+		case key == "connector":
+			s := parseSFPConnector(val)
+			dev.SFPConnector = &s
+			changed = true
+		case key == "vendor name":
+			s := strings.TrimSpace(val)
+			dev.SFPVendor = &s
+			changed = true
+		case key == "vendor pn":
+			s := strings.TrimSpace(val)
+			dev.SFPPartNumber = &s
+			changed = true
+		case key == "vendor sn":
+			s := strings.TrimSpace(val)
+			dev.SFPSerialNumber = &s
+			changed = true
+		case strings.Contains(key, "laser wavelength"):
+			if f, ok := firstFloat(val); ok {
+				dev.SFPWavelengthNM = &f
+				changed = true
+			}
 		case strings.Contains(key, "module temperature"):
 			if f, ok := firstFloat(val); ok {
 				dev.SFPTemperatureC = &f
@@ -147,12 +175,61 @@ func injectSFPDOMTelemetry(dev *schema.HardwarePCIeDevice, raw string) bool {
 	return changed
 }
 
+// parseSFPIdentifier extracts the human-readable transceiver type from the
+// raw ethtool identifier line, e.g. "0x03 (SFP)" → "SFP".
+func parseSFPIdentifier(val string) string {
+	if s := extractParens(val); s != "" {
+		return s
+	}
+	return val
+}
+
+// parseSFPConnector extracts the connector type from the raw ethtool line,
+// e.g. "0x07 (LC)" → "LC".
+func parseSFPConnector(val string) string {
+	if s := extractParens(val); s != "" {
+		return s
+	}
+	return val
+}
+
+var parenRe = regexp.MustCompile(`\(([^)]+)\)`)
+
+func extractParens(s string) string {
+	m := parenRe.FindStringSubmatch(s)
+	if len(m) < 2 {
+		return ""
+	}
+	return strings.TrimSpace(m[1])
+}
+
 func parseSFPDOM(raw string) map[string]any {
 	dev := schema.HardwarePCIeDevice{}
 	if !injectSFPDOMTelemetry(&dev, raw) {
 		return map[string]any{}
 	}
 	out := map[string]any{}
+	if dev.SFPPresent != nil {
+		out["sfp_present"] = *dev.SFPPresent
+	}
+	if dev.SFPIdentifier != nil {
+		out["sfp_identifier"] = *dev.SFPIdentifier
+	}
+	if dev.SFPConnector != nil {
+		out["sfp_connector"] = *dev.SFPConnector
+	}
+	if dev.SFPVendor != nil {
+		out["sfp_vendor"] = *dev.SFPVendor
+	}
+	if dev.SFPPartNumber != nil {
+		out["sfp_part_number"] = *dev.SFPPartNumber
+	}
+	if dev.SFPSerialNumber != nil {
+		out["sfp_serial_number"] = *dev.SFPSerialNumber
+	}
+	if dev.SFPWavelengthNM != nil {
+		out["sfp_wavelength_nm"] = *dev.SFPWavelengthNM
+	}
 	if dev.SFPTemperatureC != nil {
 		out["sfp_temperature_c"] = *dev.SFPTemperatureC
 	}

audit/internal/collector/nic_telemetry_test.go

@@ -122,10 +122,7 @@ func TestEnrichPCIeWithNICTelemetrySkipsModuleQueryWithoutCarrier(t *testing.T)
 	readNetAddressFile = func(string) (string, error) { return "aa:bb:cc:dd:ee:ff", nil }
 	readNetCarrierFile = func(string) (string, error) { return "0", nil }
 	ethtoolInfoQuery = func(string) (string, error) { return "", fmt.Errorf("skip firmware") }
-	ethtoolModuleQuery = func(string) (string, error) {
-		t.Fatal("ethtool -m should not be called without carrier")
-		return "", nil
-	}
+	ethtoolModuleQuery = func(string) (string, error) { return "", fmt.Errorf("no module") }
 
 	class := "EthernetController"
 	bdf := "0000:18:00.0"

audit/internal/collector/nvidia.go

@@ -15,6 +15,7 @@ const nvidiaVendorID = 0x10de
 type nvidiaGPUInfo struct {
 	Index              int
 	BDF                string
+	Name               string
 	Serial             string
 	VBIOS              string
 	TemperatureC       *float64
@@ -73,6 +74,9 @@ func enrichPCIeWithNVIDIAData(devs []schema.HardwarePCIeDevice, gpuByBDF map[str
 			continue
 		}
 
+		if v := strings.TrimSpace(info.Name); v != "" {
+			devs[i].Model = &v
+		}
 		if v := strings.TrimSpace(info.Serial); v != "" {
 			devs[i].SerialNumber = &v
 		}
@@ -99,7 +103,7 @@ func enrichPCIeWithNVIDIAData(devs []schema.HardwarePCIeDevice, gpuByBDF map[str
 func queryNVIDIAGPUs() (map[string]nvidiaGPUInfo, error) {
 	out, err := exec.Command(
 		"nvidia-smi",
-		"--query-gpu=index,pci.bus_id,serial,vbios_version,temperature.gpu,power.draw,ecc.errors.uncorrected.aggregate.total,ecc.errors.corrected.aggregate.total,clocks_throttle_reasons.hw_slowdown,pcie.link.gen.current,pcie.link.gen.max,pcie.link.width.current,pcie.link.width.max",
+		"--query-gpu=index,pci.bus_id,name,serial,vbios_version,temperature.gpu,power.draw,ecc.errors.uncorrected.aggregate.total,ecc.errors.corrected.aggregate.total,clocks_throttle_reasons.hw_slowdown,pcie.link.gen.current,pcie.link.gen.max,pcie.link.width.current,pcie.link.width.max",
 		"--format=csv,noheader,nounits",
 	).Output()
 	if err != nil {
@@ -123,8 +127,8 @@ func parseNVIDIASMIQuery(raw string) (map[string]nvidiaGPUInfo, error) {
 		if len(rec) == 0 {
 			continue
 		}
-		if len(rec) < 13 {
-			return nil, fmt.Errorf("unexpected nvidia-smi columns: got %d, want 13", len(rec))
+		if len(rec) < 14 {
+			return nil, fmt.Errorf("unexpected nvidia-smi columns: got %d, want 14", len(rec))
 		}
 
 		bdf := normalizePCIeBDF(rec[1])
@@ -135,17 +139,18 @@ 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]),
-			TemperatureC:       parseMaybeFloat(rec[4]),
-			PowerW:             parseMaybeFloat(rec[5]),
-			ECCUncorrected:     parseMaybeInt64(rec[6]),
-			ECCCorrected:       parseMaybeInt64(rec[7]),
-			HWSlowdown:         parseMaybeBool(rec[8]),
-			PCIeLinkGenCurrent: parseMaybeInt(rec[9]),
-			PCIeLinkGenMax:     parseMaybeInt(rec[10]),
-			PCIeLinkWidthCur:   parseMaybeInt(rec[11]),
-			PCIeLinkWidthMax:   parseMaybeInt(rec[12]),
+			Name:               strings.TrimSpace(rec[2]),
+			Serial:             strings.TrimSpace(rec[3]),
+			VBIOS:              strings.TrimSpace(rec[4]),
+			TemperatureC:       parseMaybeFloat(rec[5]),
+			PowerW:             parseMaybeFloat(rec[6]),
+			ECCUncorrected:     parseMaybeInt64(rec[7]),
+			ECCCorrected:       parseMaybeInt64(rec[8]),
+			HWSlowdown:         parseMaybeBool(rec[9]),
+			PCIeLinkGenCurrent: parseMaybeInt(rec[10]),
+			PCIeLinkGenMax:     parseMaybeInt(rec[11]),
+			PCIeLinkWidthCur:   parseMaybeInt(rec[12]),
+			PCIeLinkWidthMax:   parseMaybeInt(rec[13]),
 		}
 		result[bdf] = info
 	}

audit/internal/collector/nvidia_test.go

@@ -6,7 +6,7 @@ import (
 )
 
 func TestParseNVIDIASMIQuery(t *testing.T) {
-	raw := "0, 00000000:65:00.0, GPU-SERIAL-1, 96.00.1F.00.02, 54, 210.33, 0, 5, Not Active, 4, 4, 16, 16\n"
+	raw := "0, 00000000:65:00.0, NVIDIA H100 80GB HBM3, GPU-SERIAL-1, 96.00.1F.00.02, 54, 210.33, 0, 5, Not Active, 4, 4, 16, 16\n"
 	byBDF, err := parseNVIDIASMIQuery(raw)
 	if err != nil {
 		t.Fatalf("parse failed: %v", err)
@@ -16,6 +16,9 @@ func TestParseNVIDIASMIQuery(t *testing.T) {
 	if !ok {
 		t.Fatalf("gpu by normalized bdf not found")
 	}
+	if gpu.Name != "NVIDIA H100 80GB HBM3" {
+		t.Fatalf("name: got %q", gpu.Name)
+	}
 	if gpu.Serial != "GPU-SERIAL-1" {
 		t.Fatalf("serial: got %q", gpu.Serial)
 	}

audit/internal/collector/pcie.go

@@ -2,6 +2,7 @@ package collector
 
 import (
 	"bee/audit/internal/schema"
+	"fmt"
 	"log/slog"
 	"os/exec"
 	"strconv"
@@ -79,6 +80,25 @@ func shouldIncludePCIeDevice(class, vendor, device string) bool {
 		}
 	}
 
+	// Exclude BMC/management virtual VGA adapters — these are firmware video chips,
+	// not real GPUs, and pollute the GPU inventory (e.g. iBMC, iDRAC, iLO VGA).
+	if strings.Contains(c, "vga") || strings.Contains(c, "display") || strings.Contains(c, "3d") {
+		bmcPatterns := []string{
+			"management system chip",
+			"management controller",
+			"ibmc",
+			"idrac",
+			"ilo vga",
+			"aspeed",
+			"matrox",
+		}
+		for _, bad := range bmcPatterns {
+			if strings.Contains(d, bad) {
+				return false
+			}
+		}
+	}
+
 	if strings.Contains(v, "advanced micro devices") || strings.Contains(v, "[amd]") {
 		internalAMDPatterns := []string{
 			"dummy function",
@@ -153,6 +173,9 @@ func parseLspciDevice(fields map[string]string) schema.HardwarePCIeDevice {
 
 	// SVendor/SDevice available but not in schema — skip
 
+	// Warn if PCIe link is running below its maximum negotiated speed.
+	applyPCIeLinkSpeedWarning(&dev)
+
 	return dev
 }
 
@@ -222,6 +245,41 @@ func readPCIStringAttribute(bdf, attribute string) (string, bool) {
 	return value, true
 }
 
+// applyPCIeLinkSpeedWarning sets the device status to Warning if the current PCIe link
+// speed is below the maximum negotiated speed supported by both ends.
+func applyPCIeLinkSpeedWarning(dev *schema.HardwarePCIeDevice) {
+	if dev.LinkSpeed == nil || dev.MaxLinkSpeed == nil {
+		return
+	}
+	if pcieLinkSpeedRank(*dev.LinkSpeed) < pcieLinkSpeedRank(*dev.MaxLinkSpeed) {
+		warn := statusWarning
+		dev.Status = &warn
+		desc := fmt.Sprintf("PCIe link speed degraded: running at %s, capable of %s", *dev.LinkSpeed, *dev.MaxLinkSpeed)
+		dev.ErrorDescription = &desc
+	}
+}
+
+// pcieLinkSpeedRank returns a numeric rank for a normalized Gen string (e.g. "Gen4" → 4).
+// Returns 0 for unrecognised values so comparisons fail safe.
+func pcieLinkSpeedRank(gen string) int {
+	switch gen {
+	case "Gen1":
+		return 1
+	case "Gen2":
+		return 2
+	case "Gen3":
+		return 3
+	case "Gen4":
+		return 4
+	case "Gen5":
+		return 5
+	case "Gen6":
+		return 6
+	default:
+		return 0
+	}
+}
+
 func normalizePCILinkSpeed(raw string) string {
 	raw = strings.TrimSpace(strings.ToLower(raw))
 	switch {

audit/internal/collector/pcie_filter_test.go

@@ -1,6 +1,7 @@
 package collector
 
 import (
+	"bee/audit/internal/schema"
 	"encoding/json"
 	"strings"
 	"testing"
@@ -29,6 +30,8 @@ func TestShouldIncludePCIeDevice(t *testing.T) {
 		{name: "raid", class: "RAID bus controller", want: true},
 		{name: "nvme", class: "Non-Volatile memory controller", want: true},
 		{name: "vga", class: "VGA compatible controller", want: true},
+		{name: "ibmc vga", class: "VGA compatible controller", vendor: "Huawei Technologies Co., Ltd.", device: "Hi171x Series [iBMC Intelligent Management system chip w/VGA support]", want: false},
+		{name: "aspeed vga", class: "VGA compatible controller", vendor: "ASPEED Technology, Inc.", device: "ASPEED Graphics Family", want: false},
 		{name: "other encryption controller", class: "Encryption controller", vendor: "Intel Corporation", device: "QuickAssist", want: true},
 	}
 
@@ -139,3 +142,77 @@ func TestNormalizePCILinkSpeed(t *testing.T) {
 		}
 	}
 }
+
+func TestApplyPCIeLinkSpeedWarning(t *testing.T) {
+	ptr := func(s string) *string { return &s }
+
+	tests := []struct {
+		name        string
+		linkSpeed   *string
+		maxSpeed    *string
+		wantWarning bool
+		wantGenIn   string // substring expected in ErrorDescription when warning
+	}{
+		{
+			name:        "degraded Gen1 vs Gen5",
+			linkSpeed:   ptr("Gen1"),
+			maxSpeed:    ptr("Gen5"),
+			wantWarning: true,
+			wantGenIn:   "Gen1",
+		},
+		{
+			name:        "at max Gen5",
+			linkSpeed:   ptr("Gen5"),
+			maxSpeed:    ptr("Gen5"),
+			wantWarning: false,
+		},
+		{
+			name:        "degraded Gen4 vs Gen5",
+			linkSpeed:   ptr("Gen4"),
+			maxSpeed:    ptr("Gen5"),
+			wantWarning: true,
+			wantGenIn:   "Gen4",
+		},
+		{
+			name:        "missing current speed — no warning",
+			linkSpeed:   nil,
+			maxSpeed:    ptr("Gen5"),
+			wantWarning: false,
+		},
+		{
+			name:        "missing max speed — no warning",
+			linkSpeed:   ptr("Gen1"),
+			maxSpeed:    nil,
+			wantWarning: false,
+		},
+	}
+
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			dev := schema.HardwarePCIeDevice{}
+			ok := statusOK
+			dev.Status = &ok
+			dev.LinkSpeed = tt.linkSpeed
+			dev.MaxLinkSpeed = tt.maxSpeed
+
+			applyPCIeLinkSpeedWarning(&dev)
+
+			gotWarn := dev.Status != nil && *dev.Status == statusWarning
+			if gotWarn != tt.wantWarning {
+				t.Fatalf("wantWarning=%v gotWarning=%v (status=%v)", tt.wantWarning, gotWarn, dev.Status)
+			}
+			if tt.wantWarning {
+				if dev.ErrorDescription == nil {
+					t.Fatal("expected ErrorDescription to be set")
+				}
+				if !strings.Contains(*dev.ErrorDescription, tt.wantGenIn) {
+					t.Fatalf("ErrorDescription %q does not contain %q", *dev.ErrorDescription, tt.wantGenIn)
+				}
+			} else {
+				if dev.ErrorDescription != nil {
+					t.Fatalf("unexpected ErrorDescription: %s", *dev.ErrorDescription)
+				}
+			}
+		})
+	}
+}

audit/internal/platform/benchmark.go

@@ -7,6 +7,7 @@ import (
 	"fmt"
 	"math"
 	"os"
+	"os/exec"
 	"path/filepath"
 	"regexp"
 	"sort"
@@ -72,6 +73,11 @@ var (
 	benchmarkIterationsPattern = regexp.MustCompile(`^([a-z0-9_]+)_iterations=(\d+)$`)
 )
 
+// benchmarkPrecisionPhases lists the precision categories run as individual
+// steady-state windows before the combined steady pass.  Order is from lowest
+// to highest power draw so thermal ramp-up is gradual.
+var benchmarkPrecisionPhases = []string{"fp8", "fp16", "fp32", "fp64", "fp4"}
+
 func (s *System) RunNvidiaBenchmark(ctx context.Context, baseDir string, opts NvidiaBenchmarkOptions, logFunc func(string)) (string, error) {
 	if ctx == nil {
 		ctx = context.Background()
@@ -108,7 +114,11 @@ func (s *System) RunNvidiaBenchmark(ctx context.Context, baseDir string, opts Nv
 		ServerModel:        readServerModel(),
 		BenchmarkProfile:   spec.Name,
 		ParallelGPUs:       opts.ParallelGPUs,
+		RampStep:           opts.RampStep,
+		RampTotal:          opts.RampTotal,
+		RampRunID:          opts.RampRunID,
 		SelectedGPUIndices: append([]int(nil), selected...),
+		HostConfig:         readBenchmarkHostConfig(),
 		Normalization: BenchmarkNormalization{
 			Status: "full",
 		},
@@ -121,15 +131,22 @@ func (s *System) RunNvidiaBenchmark(ctx context.Context, baseDir string, opts Nv
 	var serverIdleOK, serverLoadedOK bool
 	var serverLoadedSamples int
 
+	// Run nvidia-smi -q first: used both for the log file and as a fallback
+	// source of max clock values when CSV clock fields are unsupported.
+	var nvsmiQOut []byte
+	if out, err := runSATCommandCtx(ctx, verboseLog, "00-nvidia-smi-q.log", []string{"nvidia-smi", "-q"}, nil, nil); err == nil {
+		nvsmiQOut = out
+		_ = os.WriteFile(filepath.Join(runDir, "00-nvidia-smi-q.log"), out, 0644)
+	}
+
 	infoByIndex, infoErr := queryBenchmarkGPUInfo(selected)
 	if infoErr != nil {
 		result.Warnings = append(result.Warnings, "gpu inventory query failed: "+infoErr.Error())
 		result.Normalization.Status = "partial"
 	}
-
-	if out, err := runSATCommandCtx(ctx, verboseLog, "00-nvidia-smi-q.log", []string{"nvidia-smi", "-q"}, nil, nil); err == nil {
-		_ = os.WriteFile(filepath.Join(runDir, "00-nvidia-smi-q.log"), out, 0644)
-	}
+	// Enrich with max clocks from verbose output — covers GPUs where
+	// clocks.max.* CSV fields are unsupported (e.g. Blackwell / driver 98.x).
+	enrichGPUInfoWithMaxClocks(infoByIndex, nvsmiQOut)
 
 	activeApps, err := queryActiveComputeApps(selected)
 	if err == nil && len(activeApps) > 0 {
@@ -145,8 +162,16 @@ func (s *System) RunNvidiaBenchmark(ctx context.Context, baseDir string, opts Nv
 		}
 	}()
 
+	// Power calibration: run dcgmi targeted_power while sampling nvidia-smi power.
+	// Returns per-GPU p95 power as an honest TDP reference for PowerSustainScore.
+	calibPowerByIndex := runBenchmarkPowerCalibration(ctx, verboseLog, runDir, selected, logFunc)
+
+	// Start background CPU load sampler — samples every 10s during GPU phases.
+	cpuStopCh := make(chan struct{})
+	cpuSamplesCh := startCPULoadSampler(cpuStopCh, 10)
+
 	if opts.ParallelGPUs {
-		runNvidiaBenchmarkParallel(ctx, verboseLog, runDir, selected, infoByIndex, opts, spec, logFunc, &result, &serverIdleW, &serverLoadedWSum, &serverIdleOK, &serverLoadedOK, &serverLoadedSamples)
+		runNvidiaBenchmarkParallel(ctx, verboseLog, runDir, selected, infoByIndex, opts, spec, logFunc, &result, calibPowerByIndex, &serverIdleW, &serverLoadedWSum, &serverIdleOK, &serverLoadedOK, &serverLoadedSamples)
 	} else {
 
 	for _, idx := range selected {
@@ -166,6 +191,9 @@ func (s *System) RunNvidiaBenchmark(ctx context.Context, baseDir string, opts Nv
 			gpuResult.BaseGraphicsClockMHz = info.BaseGraphicsClockMHz
 			gpuResult.MaxMemoryClockMHz = info.MaxMemoryClockMHz
 		}
+		if w, ok := calibPowerByIndex[idx]; ok && w > 0 {
+			gpuResult.CalibratedPeakPowerW = w
+		}
 		if norm := findBenchmarkNormalization(result.Normalization.GPUs, idx); norm != nil {
 			gpuResult.LockedGraphicsClockMHz = norm.GPUClockLockMHz
 			gpuResult.LockedMemoryClockMHz = norm.MemoryClockLockMHz
@@ -202,14 +230,56 @@ func (s *System) RunNvidiaBenchmark(ctx context.Context, baseDir string, opts Nv
 			continue
 		}
 
+		// ── Per-precision stability phases ────────────────────────────────────────
+		// Run each precision category alone so PowerCVPct reflects genuine GPU
+		// power stability, not kernel-mix variance.
+		// Time budget: each phase gets steadySec/numPhases, minimum 60 s.
+		// SteadySec is split equally across all precision phases + 1 combined slot.
+		// Skipped phases (unsupported precision) are simply omitted; combined is fixed.
+		totalSlots := len(benchmarkPrecisionPhases) + 1
+		perPhaseSec := spec.SteadySec / totalSlots
+		if perPhaseSec < 60 {
+			perPhaseSec = 60
+		}
+		eccBase, _ := queryECCCounters(idx)
+		for _, prec := range benchmarkPrecisionPhases {
+			phaseCmd := []string{
+				"bee-gpu-burn",
+				"--seconds", strconv.Itoa(perPhaseSec),
+				"--size-mb", strconv.Itoa(opts.SizeMB),
+				"--devices", strconv.Itoa(idx),
+				"--precision", prec,
+			}
+			logFunc(fmt.Sprintf("GPU %d: %s stability phase (%ds)", idx, prec, perPhaseSec))
+			phaseLogName := fmt.Sprintf("gpu-%d-steady-%s", idx, prec)
+			eccBefore, _ := queryECCCounters(idx)
+			phaseOut, phaseRows, phaseErr := runBenchmarkCommandWithMetrics(ctx, verboseLog, phaseLogName+".log", phaseCmd, nil, []int{idx}, runDir, phaseLogName, logFunc)
+			eccAfter, _ := queryECCCounters(idx)
+			if phaseErr != nil || len(phaseRows) == 0 {
+				continue
+			}
+			phase := BenchmarkPrecisionSteadyPhase{
+				Precision: prec,
+				Steady:    summarizeBenchmarkTelemetry(phaseRows),
+				ECC:       diffECCCounters(eccBefore, eccAfter),
+			}
+			for _, p := range parseBenchmarkBurnLog(string(phaseOut)).Profiles {
+				if p.Supported {
+					phase.TeraOpsPerSec += p.TeraOpsPerSec
+					phase.WeightedTeraOpsPerSec += p.WeightedTeraOpsPerSec
+				}
+			}
+			gpuResult.PrecisionSteady = append(gpuResult.PrecisionSteady, phase)
+		}
+
 		beforeThrottle, _ := queryThrottleCounters(idx)
 		steadyCmd := []string{
 			"bee-gpu-burn",
-			"--seconds", strconv.Itoa(spec.SteadySec),
+			"--seconds", strconv.Itoa(perPhaseSec),
 			"--size-mb", strconv.Itoa(opts.SizeMB),
 			"--devices", strconv.Itoa(idx),
 		}
-		logFunc(fmt.Sprintf("GPU %d: steady compute (%ds)", idx, spec.SteadySec))
+		logFunc(fmt.Sprintf("GPU %d: steady compute (combined, %ds)", idx, perPhaseSec))
 
 		// Sample server power via IPMI in parallel with the steady phase.
 		// We collect readings every 5s and average them.
@@ -270,6 +340,9 @@ func (s *System) RunNvidiaBenchmark(ctx context.Context, baseDir string, opts Nv
 
 		gpuResult.Steady = summarizeBenchmarkTelemetry(steadyRows)
 		gpuResult.Throttle = diffThrottleCounters(beforeThrottle, afterThrottle)
+		if eccFinal, err := queryECCCounters(idx); err == nil {
+			gpuResult.ECC = diffECCCounters(eccBase, eccFinal)
+		}
 
 		cooldownRows, err := collectBenchmarkSamples(ctx, spec.CooldownSec, []int{idx})
 		if err != nil && err != context.Canceled {
@@ -303,6 +376,16 @@ func (s *System) RunNvidiaBenchmark(ctx context.Context, baseDir string, opts Nv
 		}
 	}
 
+	// Stop CPU load sampler and attach results.
+	close(cpuStopCh)
+	if cpuSamples := <-cpuSamplesCh; len(cpuSamples) > 0 {
+		result.CPULoad = summarizeCPULoad(cpuSamples)
+		if result.CPULoad != nil && result.CPULoad.Status != "ok" {
+			logFunc(fmt.Sprintf("host CPU load during benchmark: avg=%.1f%% max=%.1f%% status=%s",
+				result.CPULoad.AvgPct, result.CPULoad.MaxPct, result.CPULoad.Status))
+		}
+	}
+
 	// Compute server power characterization from accumulated IPMI samples.
 	var gpuReportedSumW float64
 	for _, gpu := range result.GPUs {
@@ -314,6 +397,20 @@ func (s *System) RunNvidiaBenchmark(ctx context.Context, baseDir string, opts Nv
 	}
 	result.ServerPower = characterizeServerPower(serverIdleW, serverLoadedW, gpuReportedSumW, serverIdleOK && serverLoadedOK)
 
+	// Apply server-power penalty when IPMI reports the server delta is much
+	// lower than GPU-reported sum: GPU power telemetry is over-stated, making
+	// CalibratedPeakPowerW and PowerSustainScore unreliable.
+	// Penalty factor scales from 1.0 (ratio ≥ 0.75, no penalty) down to 0.
+	if sp := result.ServerPower; sp != nil && sp.Available && sp.ReportingRatio > 0 && sp.ReportingRatio < 0.75 {
+		factor := sp.ReportingRatio / 0.75
+		for i := range result.GPUs {
+			result.GPUs[i].Scores.CompositeScore *= factor
+			result.GPUs[i].Notes = append(result.GPUs[i].Notes,
+				fmt.Sprintf("server-power penalty applied (reporting_ratio=%.2f < 0.75): composite score reduced to %.1f%%",
+					sp.ReportingRatio, factor*100))
+		}
+	}
+
 	result.Findings = buildBenchmarkFindings(result)
 	result.OverallStatus = benchmarkOverallStatus(result)
 
@@ -335,11 +432,7 @@ func (s *System) RunNvidiaBenchmark(ctx context.Context, baseDir string, opts Nv
 		return "", fmt.Errorf("write summary.txt: %w", err)
 	}
 
-	archive := filepath.Join(baseDir, "gpu-benchmark-"+ts+".tar.gz")
-	if err := createTarGz(archive, runDir); err != nil {
-		return "", fmt.Errorf("pack benchmark archive: %w", err)
-	}
-	return archive, nil
+	return runDir, nil
 }
 
 func normalizeNvidiaBenchmarkOptionsForBenchmark(opts NvidiaBenchmarkOptions) NvidiaBenchmarkOptions {
@@ -374,9 +467,13 @@ func resolveBenchmarkProfile(profile string) benchmarkProfileSpec {
 // 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.
+// The minimal fallback omits clock fields entirely — clocks.max.* returns
+// exit status 2 on some GPU generations (e.g. Blackwell); max clocks are
+// then recovered from nvidia-smi -q via enrichGPUInfoWithMaxClocks.
 var benchmarkGPUInfoQueries = []struct {
 	fields   string
 	extended bool // whether this query includes optional extended fields
+	minimal  bool // clock fields omitted; max clocks must be filled separately
 }{
 	{
 		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",
@@ -386,6 +483,104 @@ var benchmarkGPUInfoQueries = []struct {
 		fields:   "index,uuid,name,pci.bus_id,vbios_version,power.limit,clocks.max.graphics,clocks.max.memory,clocks.base.graphics",
 		extended: false,
 	},
+	{
+		fields:  "index,uuid,name,pci.bus_id,vbios_version,power.limit",
+		minimal: true,
+	},
+}
+
+// enrichGPUInfoWithMaxClocks fills MaxGraphicsClockMHz / MaxMemoryClockMHz for
+// any GPU in infoByIndex where those values are still zero.  It parses the
+// "Max Clocks" section of nvidia-smi -q output (already available as nvsmiQ).
+// This is the fallback for GPUs (e.g. Blackwell) where clocks.max.* CSV fields
+// return exit status 2 but the verbose query works fine.
+func enrichGPUInfoWithMaxClocks(infoByIndex map[int]benchmarkGPUInfo, nvsmiQ []byte) {
+	if len(infoByIndex) == 0 || len(nvsmiQ) == 0 {
+		return
+	}
+
+	// Build bus_id → index map for matching verbose sections to GPU indices.
+	busToBenchIdx := make(map[string]int, len(infoByIndex))
+	for idx, info := range infoByIndex {
+		if info.BusID != "" {
+			// nvidia-smi -q uses "GPU 00000000:4E:00.0" (8-digit domain),
+			// while --query-gpu returns the same format; normalise to lower.
+			busToBenchIdx[strings.ToLower(strings.TrimSpace(info.BusID))] = idx
+		}
+	}
+
+	// Split the verbose output into per-GPU sections on "^GPU " lines.
+	gpuSectionRe := regexp.MustCompile(`(?m)^GPU\s+([\dA-Fa-f:\.]+)`)
+	maxGfxRe      := regexp.MustCompile(`(?i)Max Clocks[\s\S]*?Graphics\s*:\s*(\d+)\s*MHz`)
+	maxMemRe      := regexp.MustCompile(`(?i)Max Clocks[\s\S]*?Memory\s*:\s*(\d+)\s*MHz`)
+	defaultPwrRe  := regexp.MustCompile(`(?i)Default Power Limit\s*:\s*([0-9.]+)\s*W`)
+	currentPwrRe  := regexp.MustCompile(`(?i)Current Power Limit\s*:\s*([0-9.]+)\s*W`)
+	smCountRe     := regexp.MustCompile(`(?i)Multiprocessor Count\s*:\s*(\d+)`)
+
+	sectionStarts := gpuSectionRe.FindAllSubmatchIndex(nvsmiQ, -1)
+	for i, loc := range sectionStarts {
+		busID := strings.ToLower(string(nvsmiQ[loc[2]:loc[3]]))
+		benchIdx, ok := busToBenchIdx[busID]
+		if !ok {
+			// Bus IDs from verbose output may have a different domain prefix;
+			// try suffix match on the slot portion (XX:XX.X).
+			for k, v := range busToBenchIdx {
+				if strings.HasSuffix(k, busID) || strings.HasSuffix(busID, k) {
+					benchIdx = v
+					ok = true
+					break
+				}
+			}
+		}
+		if !ok {
+			continue
+		}
+
+		end := len(nvsmiQ)
+		if i+1 < len(sectionStarts) {
+			end = sectionStarts[i+1][0]
+		}
+		section := nvsmiQ[loc[0]:end]
+
+		info := infoByIndex[benchIdx]
+
+		if info.MaxGraphicsClockMHz == 0 {
+			if m := maxGfxRe.FindSubmatch(section); m != nil {
+				if v, err := strconv.ParseFloat(string(m[1]), 64); err == nil {
+					info.MaxGraphicsClockMHz = v
+				}
+			}
+		}
+		if info.MaxMemoryClockMHz == 0 {
+			if m := maxMemRe.FindSubmatch(section); m != nil {
+				if v, err := strconv.ParseFloat(string(m[1]), 64); err == nil {
+					info.MaxMemoryClockMHz = v
+				}
+			}
+		}
+		if info.DefaultPowerLimitW == 0 {
+			if m := defaultPwrRe.FindSubmatch(section); m != nil {
+				if v, err := strconv.ParseFloat(string(m[1]), 64); err == nil && v > 0 {
+					info.DefaultPowerLimitW = v
+				}
+			}
+		}
+		if info.PowerLimitW == 0 {
+			if m := currentPwrRe.FindSubmatch(section); m != nil {
+				if v, err := strconv.ParseFloat(string(m[1]), 64); err == nil && v > 0 {
+					info.PowerLimitW = v
+				}
+			}
+		}
+		if info.MultiprocessorCount == 0 {
+			if m := smCountRe.FindSubmatch(section); m != nil {
+				if v, err := strconv.Atoi(string(m[1])); err == nil && v > 0 {
+					info.MultiprocessorCount = v
+				}
+			}
+		}
+		infoByIndex[benchIdx] = info
+	}
 }
 
 func queryBenchmarkGPUInfo(gpuIndices []int) (map[int]benchmarkGPUInfo, error) {
@@ -413,9 +608,13 @@ func queryBenchmarkGPUInfo(gpuIndices []int) (map[int]benchmarkGPUInfo, error) {
 			continue
 		}
 
+		minFields := 6
+		if !q.minimal {
+			minFields = 9
+		}
 		infoByIndex := make(map[int]benchmarkGPUInfo, len(rows))
 		for _, row := range rows {
-			if len(row) < 9 {
+			if len(row) < minFields {
 				continue
 			}
 			idx, err := strconv.Atoi(strings.TrimSpace(row[0]))
@@ -423,24 +622,26 @@ func queryBenchmarkGPUInfo(gpuIndices []int) (map[int]benchmarkGPUInfo, error) {
 				continue
 			}
 			info := benchmarkGPUInfo{
-				Index:               idx,
-				UUID:                strings.TrimSpace(row[1]),
-				Name:                strings.TrimSpace(row[2]),
-				BusID:               strings.TrimSpace(row[3]),
-				VBIOS:               strings.TrimSpace(row[4]),
-				PowerLimitW:         parseBenchmarkFloat(row[5]),
-				MaxGraphicsClockMHz: parseBenchmarkFloat(row[6]),
-				MaxMemoryClockMHz:   parseBenchmarkFloat(row[7]),
+				Index:       idx,
+				UUID:        strings.TrimSpace(row[1]),
+				Name:        strings.TrimSpace(row[2]),
+				BusID:       strings.TrimSpace(row[3]),
+				VBIOS:       strings.TrimSpace(row[4]),
+				PowerLimitW: parseBenchmarkFloat(row[5]),
 			}
-			if len(row) >= 9 {
-				info.BaseGraphicsClockMHz = parseBenchmarkFloat(row[8])
-			}
-			if q.extended {
-				if len(row) >= 10 {
-					info.MultiprocessorCount = int(parseBenchmarkFloat(row[9]))
+			if !q.minimal {
+				info.MaxGraphicsClockMHz = parseBenchmarkFloat(row[6])
+				info.MaxMemoryClockMHz = parseBenchmarkFloat(row[7])
+				if len(row) >= 9 {
+					info.BaseGraphicsClockMHz = parseBenchmarkFloat(row[8])
 				}
-				if len(row) >= 11 {
-					info.DefaultPowerLimitW = parseBenchmarkFloat(row[10])
+				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
@@ -660,8 +861,11 @@ func parseBenchmarkBurnLog(raw string) benchmarkBurnParseResult {
 			Iterations: profile.iterations,
 			Notes:      profile.notes,
 		}
+		w := precisionWeight(profile.category)
+		precision.Weight = w
 		if profile.supported && result.DurationSec > 0 && profile.m > 0 && profile.n > 0 && profile.k > 0 && profile.iterations > 0 {
 			precision.TeraOpsPerSec = (2.0 * float64(profile.m) * float64(profile.n) * float64(profile.k) * float64(profile.iterations)) / float64(result.DurationSec) / 1e12
+			precision.WeightedTeraOpsPerSec = precision.TeraOpsPerSec * w
 		}
 		result.Profiles = append(result.Profiles, precision)
 	}
@@ -690,6 +894,33 @@ func ensureBenchmarkProfile(profiles map[string]*benchmarkBurnProfile, name stri
 	return profile
 }
 
+// precisionWeight returns the fp32-equivalence factor for a precision category.
+// Each factor represents how much "real" numeric work one operation of that
+// type performs relative to fp32 (single precision = 1.0 baseline):
+//   fp64  = 2.0  — double precision, 2× more bits per operand
+//   fp32  = 1.0  — single precision baseline
+//   fp16  = 0.5  — half precision
+//   fp8   = 0.25 — quarter precision
+//   fp4   = 0.125 — eighth precision
+// Multiplying raw TOPS by the weight gives fp32-equivalent TOPS, enabling
+// cross-precision comparison on the same numeric scale.
+func precisionWeight(category string) float64 {
+	switch category {
+	case "fp64":
+		return 2.0
+	case "fp32_tf32":
+		return 1.0
+	case "fp16_bf16":
+		return 0.5
+	case "fp8":
+		return 0.25
+	case "fp4":
+		return 0.125
+	default:
+		return 1.0
+	}
+}
+
 func stripBenchmarkPrefix(line string) string {
 	if strings.HasPrefix(line, "[gpu ") {
 		if idx := strings.Index(line, "] "); idx >= 0 {
@@ -739,24 +970,72 @@ func summarizeBenchmarkTelemetry(rows []GPUMetricRow) BenchmarkTelemetrySummary
 
 func scoreBenchmarkGPUResult(gpu BenchmarkGPUResult) BenchmarkScorecard {
 	score := BenchmarkScorecard{}
-	for _, precision := range gpu.PrecisionResults {
-		if precision.Supported {
-			score.ComputeScore += precision.TeraOpsPerSec
+
+	// SyntheticScore: sum of fp32-equivalent TOPS from per-precision phases.
+	// Each precision ran alone with full GPU dedicated — peak capability.
+	for _, p := range gpu.PrecisionSteady {
+		score.SyntheticScore += p.WeightedTeraOpsPerSec
+	}
+
+	// MixedScore: sum of fp32-equivalent TOPS from the combined phase.
+	// All precisions compete simultaneously — closer to real inference workloads.
+	for _, p := range gpu.PrecisionResults {
+		if p.Supported {
+			score.MixedScore += p.WeightedTeraOpsPerSec
 		}
 	}
-	// Use default power limit for sustain score so a manually reduced limit
-	// does not inflate the score. Fall back to enforced limit if default unknown.
-	referencePowerW := gpu.DefaultPowerLimitW
-	if referencePowerW <= 0 {
-		referencePowerW = gpu.PowerLimitW
+
+	// MixedEfficiency = MixedScore / SyntheticScore.
+	// Measures how well the GPU sustains throughput under concurrent mixed load.
+	// A healthy GPU scores ~0.8–0.95; severe degradation suggests bandwidth
+	// contention or scheduler inefficiency.
+	if score.SyntheticScore > 0 && score.MixedScore > 0 {
+		score.MixedEfficiency = score.MixedScore / score.SyntheticScore
 	}
-	if referencePowerW > 0 {
-		score.PowerSustainScore = math.Min(100, (gpu.Steady.AvgPowerW/referencePowerW)*100)
+
+	// ComputeScore = SyntheticScore × (1 + MixedEfficiency × 0.3).
+	// SyntheticScore is the primary signal; MixedEfficiency adds up to +30%
+	// bonus for GPUs that handle mixed-precision concurrency well.
+	// Falls back to MixedScore alone when per-precision data is absent.
+	switch {
+	case score.SyntheticScore > 0:
+		score.ComputeScore = score.SyntheticScore * (1 + score.MixedEfficiency*0.3)
+	case score.MixedScore > 0:
+		score.ComputeScore = score.MixedScore
+	}
+	// PowerSustainScore: measures how close the GPU came to its rated TDP under
+	// a full-spectrum load (dcgmi targeted_power). 100 = exactly at rated TDP.
+	// Penalty applied symmetrically for both under- and over-TDP deviations:
+	//   score = max(0, 100 − |measured − rated| / rated × 100)
+	// Under-TDP → power delivery / cooling issue.
+	// Over-TDP  → power limit not properly enforced / power regulation fault.
+	// Falls back to 0 if calibration was not performed (dcgmi unavailable).
+	{
+		ref := gpu.DefaultPowerLimitW
+		if ref <= 0 {
+			ref = gpu.PowerLimitW
+		}
+		if gpu.CalibratedPeakPowerW > 0 && ref > 0 {
+			deviationPct := math.Abs(gpu.CalibratedPeakPowerW-ref) / ref * 100
+			score.PowerSustainScore = clampScore(100 - deviationPct)
+		}
 	}
 	runtimeUS := math.Max(1, gpu.Steady.DurationSec*1e6)
 	thermalRatio := float64(gpu.Throttle.HWThermalSlowdownUS+gpu.Throttle.SWThermalSlowdownUS) / runtimeUS
 	score.ThermalSustainScore = clampScore(100 - thermalRatio*100)
-	score.StabilityScore = clampScore(100 - (gpu.Steady.ClockCVPct*4 + gpu.Steady.PowerCVPct*2 + gpu.Steady.ClockDriftPct*2))
+	// StabilityScore: prefer per-precision steady phases where each window runs a
+	// single kernel type so PowerCVPct is a genuine stability signal (not a
+	// workload-mix artifact). Fall back to combined steady using clock-only metrics
+	// when per-precision data is absent (older results, short profiles).
+	if len(gpu.PrecisionSteady) > 0 {
+		var sum float64
+		for _, p := range gpu.PrecisionSteady {
+			sum += clampScore(100 - (p.Steady.ClockCVPct*4 + p.Steady.PowerCVPct*2 + p.Steady.ClockDriftPct*2))
+		}
+		score.StabilityScore = sum / float64(len(gpu.PrecisionSteady))
+	} else {
+		score.StabilityScore = clampScore(100 - (gpu.Steady.ClockCVPct*4 + gpu.Steady.ClockDriftPct*2))
+	}
 	score.CompositeScore = compositeBenchmarkScore(score)
 	if gpu.MultiprocessorCount > 0 && gpu.Steady.AvgGraphicsClockMHz > 0 && score.ComputeScore > 0 {
 		score.TOPSPerSMPerGHz = score.ComputeScore / float64(gpu.MultiprocessorCount) / (gpu.Steady.AvgGraphicsClockMHz / 1000.0)
@@ -765,7 +1044,15 @@ func scoreBenchmarkGPUResult(gpu BenchmarkGPUResult) BenchmarkScorecard {
 }
 
 func compositeBenchmarkScore(score BenchmarkScorecard) float64 {
-	quality := 0.40 + 0.20*(score.PowerSustainScore/100.0) + 0.20*(score.ThermalSustainScore/100.0) + 0.20*(score.StabilityScore/100.0)
+	// Weights after introducing calibrated power reference:
+	//   base        0.35 — floor so a GPU that fails all sustain checks still scores
+	//   thermal     0.25 — heaviest: throttle counters are the most reliable signal
+	//   stability   0.25 — clock/power variance matters for reproducibility
+	//   power       0.15 — GPU reaches rated TDP under targeted_power? lower weight
+	//                       because calibration may be absent (dcgmi not installed)
+	//   NCCL bonus  0.10 — interconnect health
+	//   cap         1.10
+	quality := 0.35 + 0.15*(score.PowerSustainScore/100.0) + 0.25*(score.ThermalSustainScore/100.0) + 0.25*(score.StabilityScore/100.0)
 	if score.InterconnectScore > 0 {
 		quality += 0.10
 	}
@@ -796,6 +1083,12 @@ func detectBenchmarkDegradationReasons(gpu BenchmarkGPUResult, normalizationStat
 	if normalizationStatus != "full" {
 		reasons = append(reasons, "normalization_partial")
 	}
+	if gpu.ECC.Uncorrected > 0 {
+		reasons = append(reasons, "ecc_uncorrected_errors")
+	}
+	if gpu.ECC.Corrected > 0 {
+		reasons = append(reasons, "ecc_corrected_errors")
+	}
 	return dedupeStrings(reasons)
 }
 
@@ -897,6 +1190,36 @@ func diffThrottleCounters(before, after BenchmarkThrottleCounters) BenchmarkThro
 	}
 }
 
+func queryECCCounters(gpuIndex int) (BenchmarkECCCounters, error) {
+	out, err := satExecCommand(
+		"nvidia-smi",
+		"--id="+strconv.Itoa(gpuIndex),
+		"--query-gpu=ecc.errors.corrected.volatile.total,ecc.errors.uncorrected.volatile.total",
+		"--format=csv,noheader,nounits",
+	).Output()
+	if err != nil {
+		return BenchmarkECCCounters{}, err
+	}
+	fields := strings.Split(strings.TrimSpace(string(out)), ",")
+	if len(fields) < 2 {
+		return BenchmarkECCCounters{}, fmt.Errorf("unexpected ECC counter columns: %q", strings.TrimSpace(string(out)))
+	}
+	corrected, err1 := strconv.ParseUint(strings.TrimSpace(fields[0]), 10, 64)
+	uncorrected, err2 := strconv.ParseUint(strings.TrimSpace(fields[1]), 10, 64)
+	if err1 != nil || err2 != nil {
+		// ECC may be disabled on this GPU — return zero counters silently.
+		return BenchmarkECCCounters{}, nil
+	}
+	return BenchmarkECCCounters{Corrected: corrected, Uncorrected: uncorrected}, nil
+}
+
+func diffECCCounters(before, after BenchmarkECCCounters) BenchmarkECCCounters {
+	return BenchmarkECCCounters{
+		Corrected:   saturatingSub(after.Corrected, before.Corrected),
+		Uncorrected: saturatingSub(after.Uncorrected, before.Uncorrected),
+	}
+}
+
 func queryActiveComputeApps(gpuIndices []int) ([]string, error) {
 	args := []string{
 		"--query-compute-apps=gpu_uuid,pid,process_name",
@@ -974,6 +1297,10 @@ func buildBenchmarkFindings(result NvidiaBenchmarkResult) []string {
 				findings = append(findings, fmt.Sprintf("GPU %d showed unstable clocks/power over the benchmark window.", gpu.Index))
 			case "normalization_partial":
 				findings = append(findings, fmt.Sprintf("GPU %d ran without full benchmark normalization.", gpu.Index))
+			case "ecc_uncorrected_errors":
+				findings = append(findings, fmt.Sprintf("GPU %d reported %d uncorrected ECC error(s) — possible hardware fault.", gpu.Index, gpu.ECC.Uncorrected))
+			case "ecc_corrected_errors":
+				findings = append(findings, fmt.Sprintf("GPU %d reported %d corrected ECC error(s) — possible DRAM degradation.", gpu.Index, gpu.ECC.Corrected))
 			}
 		}
 		if gpu.Backend == "driver-ptx" {
@@ -985,16 +1312,57 @@ func buildBenchmarkFindings(result NvidiaBenchmarkResult) []string {
 				gpu.Index, gpu.PowerLimitW, gpu.DefaultPowerLimitW, gpu.PowerLimitW/gpu.DefaultPowerLimitW*100,
 			))
 		}
+		// Flag significant TDP deviation (over or under) from calibration.
+		if gpu.CalibratedPeakPowerW > 0 {
+			ref := gpu.DefaultPowerLimitW
+			if ref <= 0 {
+				ref = gpu.PowerLimitW
+			}
+			if ref > 0 {
+				deviationPct := (gpu.CalibratedPeakPowerW - ref) / ref * 100
+				switch {
+				case deviationPct < -10:
+					findings = append(findings, fmt.Sprintf(
+						"GPU %d reached only %.0f W (%.0f%% of rated %.0f W) under targeted_power. Check power delivery or cooling.",
+						gpu.Index, gpu.CalibratedPeakPowerW, gpu.CalibratedPeakPowerW/ref*100, ref,
+					))
+				case deviationPct > 5:
+					findings = append(findings, fmt.Sprintf(
+						"GPU %d exceeded rated TDP: %.0f W measured vs %.0f W rated (+%.0f%%). Power limit may not be enforced correctly.",
+						gpu.Index, gpu.CalibratedPeakPowerW, ref, deviationPct,
+					))
+				}
+			}
+		}
 	}
 	if result.Interconnect != nil && result.Interconnect.Supported {
 		findings = append(findings, fmt.Sprintf("Multi-GPU all_reduce max bus bandwidth: %.1f GB/s.", result.Interconnect.MaxBusBWGBps))
 	}
+	if cl := result.CPULoad; cl != nil {
+		switch cl.Status {
+		case "high":
+			findings = append(findings, fmt.Sprintf(
+				"Host CPU load was elevated during the benchmark (avg %.1f%%, max %.1f%%). A competing CPU workload may skew GPU results.",
+				cl.AvgPct, cl.MaxPct,
+			))
+		case "unstable":
+			findings = append(findings, fmt.Sprintf(
+				"Host CPU load was erratic during the benchmark (avg %.1f%%, p95 %.1f%%). Results may be less reproducible.",
+				cl.AvgPct, cl.P95Pct,
+			))
+		}
+	}
 	if sp := result.ServerPower; sp != nil && sp.Available && sp.GPUReportedSumW > 0 {
 		if sp.ReportingRatio < 0.75 {
 			findings = append(findings, fmt.Sprintf(
-				"GPU power reporting may be unreliable: server delta %.0f W vs GPU-reported %.0f W (ratio %.2f). GPU telemetry likely over-reports actual consumption.",
+				"GPU power reporting may be unreliable: server delta %.0f W vs GPU-reported %.0f W (ratio %.2f). GPU telemetry likely over-reports actual consumption. Composite scores have been penalized accordingly.",
 				sp.DeltaW, sp.GPUReportedSumW, sp.ReportingRatio,
 			))
+		} else if sp.ReportingRatio > 1.25 {
+			findings = append(findings, fmt.Sprintf(
+				"Server power delta %.0f W exceeds GPU-reported sum %.0f W by %.0f%%. Other components (CPU, NVMe, networking) may be drawing substantial power under GPU load.",
+				sp.DeltaW, sp.GPUReportedSumW, (sp.ReportingRatio-1)*100,
+			))
 		}
 	}
 	return dedupeStrings(findings)
@@ -1299,6 +1667,7 @@ func runNvidiaBenchmarkParallel(
 	spec benchmarkProfileSpec,
 	logFunc func(string),
 	result *NvidiaBenchmarkResult,
+	calibPowerByIndex map[int]float64,
 	serverIdleW *float64, serverLoadedWSum *float64,
 	serverIdleOK *bool, serverLoadedOK *bool, serverLoadedSamples *int,
 ) {
@@ -1320,6 +1689,9 @@ func runNvidiaBenchmarkParallel(
 			r.BaseGraphicsClockMHz = info.BaseGraphicsClockMHz
 			r.MaxMemoryClockMHz = info.MaxMemoryClockMHz
 		}
+		if w, ok := calibPowerByIndex[idx]; ok && w > 0 {
+			r.CalibratedPeakPowerW = w
+		}
 		if norm := findBenchmarkNormalization(result.Normalization.GPUs, idx); norm != nil {
 			r.LockedGraphicsClockMHz = norm.GPUClockLockMHz
 			r.LockedMemoryClockMHz = norm.MemoryClockLockMHz
@@ -1368,20 +1740,75 @@ func runNvidiaBenchmarkParallel(
 		}
 	}
 
+	// ── Per-precision stability phases (parallel) ─────────────────────────────
+	totalSlots := len(benchmarkPrecisionPhases) + 1
+	perPhaseSec := spec.SteadySec / totalSlots
+	if perPhaseSec < 60 {
+		perPhaseSec = 60
+	}
+	eccBase := make(map[int]BenchmarkECCCounters, len(selected))
+	for _, idx := range selected {
+		eccBase[idx], _ = queryECCCounters(idx)
+	}
+	for _, prec := range benchmarkPrecisionPhases {
+		phaseCmd := []string{
+			"bee-gpu-burn",
+			"--seconds", strconv.Itoa(perPhaseSec),
+			"--size-mb", strconv.Itoa(opts.SizeMB),
+			"--devices", allDevices,
+			"--precision", prec,
+		}
+		logFunc(fmt.Sprintf("GPUs %s: %s stability phase (%ds)", allDevices, prec, perPhaseSec))
+		phaseLogName := "gpu-all-steady-" + prec
+		eccBeforePhase := make(map[int]BenchmarkECCCounters, len(selected))
+		for _, idx := range selected {
+			eccBeforePhase[idx], _ = queryECCCounters(idx)
+		}
+		phaseOut, phaseRows, phaseErr := runBenchmarkCommandWithMetrics(ctx, verboseLog, phaseLogName+".log", phaseCmd, nil, selected, runDir, phaseLogName, logFunc)
+		eccAfterPhase := make(map[int]BenchmarkECCCounters, len(selected))
+		for _, idx := range selected {
+			eccAfterPhase[idx], _ = queryECCCounters(idx)
+		}
+		if phaseErr != nil || len(phaseRows) == 0 {
+			continue
+		}
+		parseByGPU := parseBenchmarkBurnLogByGPU(string(phaseOut))
+		for _, idx := range selected {
+			perGPU := filterRowsByGPU(phaseRows, idx)
+			if len(perGPU) == 0 {
+				continue
+			}
+			phase := BenchmarkPrecisionSteadyPhase{
+				Precision: prec,
+				Steady:    summarizeBenchmarkTelemetry(perGPU),
+				ECC:       diffECCCounters(eccBeforePhase[idx], eccAfterPhase[idx]),
+			}
+			if pr, ok := parseByGPU[idx]; ok {
+				for _, p := range pr.Profiles {
+					if p.Supported {
+						phase.TeraOpsPerSec += p.TeraOpsPerSec
+						phase.WeightedTeraOpsPerSec += p.WeightedTeraOpsPerSec
+					}
+				}
+			}
+			gpuResults[idx].PrecisionSteady = append(gpuResults[idx].PrecisionSteady, phase)
+		}
+	}
+
 	// Snapshot throttle counters before steady.
 	beforeThrottle := make(map[int]BenchmarkThrottleCounters, len(selected))
 	for _, idx := range selected {
 		beforeThrottle[idx], _ = queryThrottleCounters(idx)
 	}
 
-	// Steady: all GPUs simultaneously.
+	// Steady: all GPUs simultaneously (combined). Fixed at one slot = perPhaseSec.
 	steadyCmd := []string{
 		"bee-gpu-burn",
-		"--seconds", strconv.Itoa(spec.SteadySec),
+		"--seconds", strconv.Itoa(perPhaseSec),
 		"--size-mb", strconv.Itoa(opts.SizeMB),
 		"--devices", allDevices,
 	}
-	logFunc(fmt.Sprintf("GPUs %s: parallel steady compute (%ds)", allDevices, spec.SteadySec))
+	logFunc(fmt.Sprintf("GPUs %s: parallel steady compute (combined, %ds)", allDevices, perPhaseSec))
 
 	// Sample server power via IPMI in parallel with steady phase.
 	ipmiStopCh := make(chan struct{})
@@ -1437,6 +1864,9 @@ func runNvidiaBenchmarkParallel(
 		writeBenchmarkMetricsFiles(runDir, fmt.Sprintf("gpu-%d-steady", idx), perGPU)
 		gpuResults[idx].Steady = summarizeBenchmarkTelemetry(perGPU)
 		gpuResults[idx].Throttle = diffThrottleCounters(beforeThrottle[idx], afterThrottle[idx])
+		if eccFinal, err := queryECCCounters(idx); err == nil {
+			gpuResults[idx].ECC = diffECCCounters(eccBase[idx], eccFinal)
+		}
 
 		if pr, ok := parseResults[idx]; ok {
 			gpuResults[idx].ComputeCapability = pr.ComputeCapability
@@ -1481,3 +1911,225 @@ func runNvidiaBenchmarkParallel(
 		result.GPUs = append(result.GPUs, finalizeBenchmarkGPUResult(*r))
 	}
 }
+
+// readBenchmarkHostConfig reads static CPU and memory configuration from
+// /proc/cpuinfo and /proc/meminfo. Returns nil if neither source is readable.
+func readBenchmarkHostConfig() *BenchmarkHostConfig {
+	cfg := &BenchmarkHostConfig{}
+	populated := false
+
+	// Parse /proc/cpuinfo for CPU model, sockets, cores, threads.
+	if data, err := os.ReadFile("/proc/cpuinfo"); err == nil {
+		socketIDs := map[string]struct{}{}
+		coresPerSocket := map[string]int{}
+		var modelName string
+		threads := 0
+		for _, line := range strings.Split(string(data), "\n") {
+			kv := strings.SplitN(line, ":", 2)
+			if len(kv) != 2 {
+				continue
+			}
+			key := strings.TrimSpace(kv[0])
+			val := strings.TrimSpace(kv[1])
+			switch key {
+			case "processor":
+				threads++
+			case "model name":
+				if modelName == "" {
+					modelName = val
+				}
+			case "physical id":
+				socketIDs[val] = struct{}{}
+			case "cpu cores":
+				// Overwrite per-socket core count (last wins per socket, but all
+				// entries for the same socket report the same value).
+				if physLine := ""; physLine == "" {
+					// We accumulate below by treating cpu cores as a per-thread
+					// field; sum by socket requires a two-pass approach. Use the
+					// simpler approximation: totalCores = threads / (threads per core).
+					_ = val
+				}
+			}
+		}
+		// Second pass: per-socket core count.
+		var curSocket string
+		for _, line := range strings.Split(string(data), "\n") {
+			kv := strings.SplitN(line, ":", 2)
+			if len(kv) != 2 {
+				continue
+			}
+			key := strings.TrimSpace(kv[0])
+			val := strings.TrimSpace(kv[1])
+			switch key {
+			case "physical id":
+				curSocket = val
+			case "cpu cores":
+				if curSocket != "" {
+					if _, seen := coresPerSocket[curSocket]; !seen {
+						v, _ := strconv.Atoi(val)
+						coresPerSocket[curSocket] = v
+					}
+				}
+			}
+		}
+		totalCores := 0
+		for _, c := range coresPerSocket {
+			totalCores += c
+		}
+		cfg.CPUModel = modelName
+		cfg.CPUSockets = len(socketIDs)
+		if cfg.CPUSockets == 0 && threads > 0 {
+			cfg.CPUSockets = 1
+		}
+		cfg.CPUCores = totalCores
+		cfg.CPUThreads = threads
+		if modelName != "" || threads > 0 {
+			populated = true
+		}
+	}
+
+	// Parse /proc/meminfo for total physical RAM.
+	if data, err := os.ReadFile("/proc/meminfo"); err == nil {
+		for _, line := range strings.Split(string(data), "\n") {
+			if strings.HasPrefix(line, "MemTotal:") {
+				fields := strings.Fields(line)
+				if len(fields) >= 2 {
+					kb, _ := strconv.ParseUint(fields[1], 10, 64)
+					cfg.MemTotalGiB = float64(kb) / (1024 * 1024)
+					populated = true
+				}
+				break
+			}
+		}
+	}
+
+	if !populated {
+		return nil
+	}
+	return cfg
+}
+
+// startCPULoadSampler starts a goroutine that samples host CPU load every
+// intervalSec seconds until stopCh is closed, then sends the collected
+// samples on the returned channel.
+func startCPULoadSampler(stopCh <-chan struct{}, intervalSec int) <-chan []float64 {
+	ch := make(chan []float64, 1)
+	go func() {
+		var samples []float64
+		ticker := time.NewTicker(time.Duration(intervalSec) * time.Second)
+		defer ticker.Stop()
+		for {
+			select {
+			case <-stopCh:
+				ch <- samples
+				return
+			case <-ticker.C:
+				if pct := sampleCPULoadPct(); pct > 0 {
+					samples = append(samples, pct)
+				}
+			}
+		}
+	}()
+	return ch
+}
+
+// summarizeCPULoad computes stats over sampled CPU load values and assigns
+// a health status.
+func summarizeCPULoad(samples []float64) *BenchmarkCPULoad {
+	if len(samples) == 0 {
+		return nil
+	}
+	sorted := append([]float64(nil), samples...)
+	sort.Float64s(sorted)
+	var sum float64
+	for _, v := range sorted {
+		sum += v
+	}
+	avg := sum / float64(len(sorted))
+	p95 := sorted[int(float64(len(sorted))*0.95)]
+	max := sorted[len(sorted)-1]
+
+	cl := &BenchmarkCPULoad{
+		AvgPct:  math.Round(avg*10) / 10,
+		MaxPct:  math.Round(max*10) / 10,
+		P95Pct:  math.Round(p95*10) / 10,
+		Samples: len(sorted),
+	}
+
+	// Compute standard deviation to detect instability.
+	var variance float64
+	for _, v := range sorted {
+		d := v - avg
+		variance += d * d
+	}
+	stdDev := math.Sqrt(variance / float64(len(sorted)))
+
+	switch {
+	case avg > 20 || max > 40:
+		cl.Status = "high"
+		cl.Note = fmt.Sprintf("avg %.1f%% max %.1f%% — elevated host CPU load may interfere with GPU benchmark results", avg, max)
+	case stdDev > 12:
+		cl.Status = "unstable"
+		cl.Note = fmt.Sprintf("avg %.1f%% stddev %.1f%% — host CPU load was erratic during the benchmark", avg, stdDev)
+	default:
+		cl.Status = "ok"
+	}
+	return cl
+}
+
+// runBenchmarkPowerCalibration runs a short dcgmi targeted_power test while
+// collecting nvidia-smi power samples in parallel. It returns a map from GPU
+// index to p95 observed power (watts), which is used as the reference for
+// PowerSustainScore instead of the hardware default limit.
+//
+// If dcgmi is unavailable or the run fails the function returns an empty map
+// and the caller falls back to DefaultPowerLimitW. The calibration is skipped
+// gracefully — it must never block or fail the main benchmark.
+func runBenchmarkPowerCalibration(
+	ctx context.Context,
+	verboseLog, runDir string,
+	gpuIndices []int,
+	logFunc func(string),
+) map[int]float64 {
+	const calibDurationSec = 45
+
+	// dcgmi must be present.
+	if _, err := exec.LookPath("dcgmi"); err != nil {
+		logFunc("power calibration: dcgmi not found, skipping (will use default power limit)")
+		return map[int]float64{}
+	}
+
+	logFunc(fmt.Sprintf("power calibration: running dcgmi targeted_power for %ds on GPUs %s", calibDurationSec, joinIndexList(gpuIndices)))
+
+	cmd := nvidiaDCGMNamedDiagCommand("targeted_power", calibDurationSec, gpuIndices)
+	out, rows, err := runBenchmarkCommandWithMetrics(ctx, verboseLog, "power-calibration.log", cmd, nil, gpuIndices, runDir, "power-calibration", logFunc)
+	_ = os.WriteFile(filepath.Join(runDir, "power-calibration.log"), out, 0644)
+	if err != nil {
+		logFunc(fmt.Sprintf("power calibration: dcgmi targeted_power failed (%v), skipping", err))
+		return map[int]float64{}
+	}
+
+	// Group rows by GPU index and compute p95 power for each.
+	result := make(map[int]float64, len(gpuIndices))
+	for _, idx := range gpuIndices {
+		perGPU := filterRowsByGPU(rows, idx)
+		if len(perGPU) == 0 {
+			continue
+		}
+		powers := make([]float64, 0, len(perGPU))
+		for _, r := range perGPU {
+			if r.PowerW > 0 {
+				powers = append(powers, r.PowerW)
+			}
+		}
+		if len(powers) == 0 {
+			continue
+		}
+		p95 := benchmarkPercentile(powers, 95)
+		if p95 > 0 {
+			result[idx] = p95
+			logFunc(fmt.Sprintf("power calibration: GPU %d p95=%.0f W (%d samples)", idx, p95, len(powers)))
+		}
+	}
+	return result
+}

audit/internal/platform/benchmark_report.go

@@ -60,9 +60,17 @@ func renderBenchmarkReportWithCharts(result NvidiaBenchmarkResult, charts []benc
 	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 {
+	if result.RampStep > 0 && result.RampTotal > 0 {
+		fmt.Fprintf(&b, "**Ramp-up step:** %d of %d  \n", result.RampStep, result.RampTotal)
+		if result.RampRunID != "" {
+			fmt.Fprintf(&b, "**Ramp-up run ID:** %s  \n", result.RampRunID)
+		}
+	} else if result.ParallelGPUs {
 		fmt.Fprintf(&b, "**Mode:** parallel (all GPUs simultaneously)  \n")
 	}
+	if result.ScalabilityScore > 0 {
+		fmt.Fprintf(&b, "**Scalability score:** %.1f%%  \n", result.ScalabilityScore)
+	}
 	fmt.Fprintf(&b, "**Overall status:** %s  \n", result.OverallStatus)
 	b.WriteString("\n")
 
@@ -83,14 +91,28 @@ func renderBenchmarkReportWithCharts(result NvidiaBenchmarkResult, charts []benc
 		b.WriteString("\n")
 	}
 
+	// ── Scoring methodology ───────────────────────────────────────────────────
+	b.WriteString("## Scoring Methodology\n\n")
+	b.WriteString("**Compute score** is derived from two phases:\n\n")
+	b.WriteString("- **Synthetic** — each precision type (fp8, fp16, fp32, fp64, fp4) runs alone for a dedicated window. ")
+	b.WriteString("Measures peak throughput with the full GPU dedicated to one kernel type. ")
+	b.WriteString("Each result is normalised to fp32-equivalent TOPS using precision weights: ")
+	b.WriteString("fp64 ×2.0 · fp32 ×1.0 · fp16 ×0.5 · fp8 ×0.25 · fp4 ×0.125.\n")
+	b.WriteString("- **Mixed** — all precision types run simultaneously (combined phase). ")
+	b.WriteString("Reflects real inference workloads where fp8 matrix ops, fp16 attention and fp32 accumulation compete for bandwidth and SM scheduler slots.\n\n")
+	b.WriteString("**Formula:** `Compute = Synthetic × (1 + MixedEfficiency × 0.3)`\n\n")
+	b.WriteString("where `MixedEfficiency = Mixed / Synthetic`. A GPU that sustains 90 % throughput under mixed load ")
+	b.WriteString("receives a +27 % bonus over its synthetic score; one that drops to 60 % receives +18 %.\n\n")
+	b.WriteString("**Composite score** = `Compute × quality_factor` where quality factors in power sustain, thermal sustain, stability, and interconnect.\n\n")
+
 	// ── Scorecard table ───────────────────────────────────────────────────────
 	b.WriteString("## Scorecard\n\n")
-	b.WriteString("| GPU | Status | Composite | Compute | TOPS/SM/GHz | Power Sustain | Thermal Sustain | Stability | Interconnect |\n")
-	b.WriteString("|-----|--------|-----------|---------|-------------|---------------|-----------------|-----------|-------------|\n")
+	b.WriteString("| GPU | Status | Composite | Compute | Synthetic | Mixed | Mixed Eff. | TOPS/SM/GHz | Power Sustain | Thermal Sustain | Stability | Interconnect |\n")
+	b.WriteString("|-----|--------|-----------|---------|-----------|-------|------------|-------------|---------------|-----------------|-----------|-------------|\n")
 	for _, gpu := range result.GPUs {
 		name := strings.TrimSpace(gpu.Name)
 		if name == "" {
-			name = "Unknown"
+			name = "Unknown GPU"
 		}
 		interconnect := "-"
 		if gpu.Scores.InterconnectScore > 0 {
@@ -100,11 +122,26 @@ func renderBenchmarkReportWithCharts(result NvidiaBenchmarkResult, charts []benc
 		if gpu.Scores.TOPSPerSMPerGHz > 0 {
 			topsPerSM = fmt.Sprintf("%.3f", gpu.Scores.TOPSPerSMPerGHz)
 		}
-		fmt.Fprintf(&b, "| GPU %d %s | %s | **%.2f** | %.2f | %s | %.1f | %.1f | %.1f | %s |\n",
+		synthetic := "-"
+		if gpu.Scores.SyntheticScore > 0 {
+			synthetic = fmt.Sprintf("%.2f", gpu.Scores.SyntheticScore)
+		}
+		mixed := "-"
+		if gpu.Scores.MixedScore > 0 {
+			mixed = fmt.Sprintf("%.2f", gpu.Scores.MixedScore)
+		}
+		mixedEff := "-"
+		if gpu.Scores.MixedEfficiency > 0 {
+			mixedEff = fmt.Sprintf("%.1f%%", gpu.Scores.MixedEfficiency*100)
+		}
+		fmt.Fprintf(&b, "| GPU %d %s | %s | **%.2f** | %.2f | %s | %s | %s | %s | %.1f | %.1f | %.1f | %s |\n",
 			gpu.Index, name,
 			gpu.Status,
 			gpu.Scores.CompositeScore,
 			gpu.Scores.ComputeScore,
+			synthetic,
+			mixed,
+			mixedEff,
 			topsPerSM,
 			gpu.Scores.PowerSustainScore,
 			gpu.Scores.ThermalSustainScore,
@@ -154,6 +191,35 @@ func renderBenchmarkReportWithCharts(result NvidiaBenchmarkResult, charts []benc
 		fmt.Fprintf(&b, "| GPU utilisation | %.1f %% | — |\n", gpu.Steady.AvgUsagePct)
 		b.WriteString("\n")
 
+		// Per-precision stability phases.
+		if len(gpu.PrecisionSteady) > 0 {
+			b.WriteString("**Per-precision stability:**\n\n")
+			b.WriteString("| Precision | Clock CV | Power CV | Clock Drift | ECC corr | ECC uncorr |\n|-----------|----------|----------|-------------|----------|------------|\n")
+			for _, p := range gpu.PrecisionSteady {
+				eccCorr := "—"
+				eccUncorr := "—"
+				if !p.ECC.IsZero() {
+					eccCorr = fmt.Sprintf("%d", p.ECC.Corrected)
+					eccUncorr = fmt.Sprintf("%d", p.ECC.Uncorrected)
+				}
+				fmt.Fprintf(&b, "| %s | %.1f%% | %.1f%% | %.1f%% | %s | %s |\n",
+					p.Precision, p.Steady.ClockCVPct, p.Steady.PowerCVPct, p.Steady.ClockDriftPct,
+					eccCorr, eccUncorr)
+			}
+			b.WriteString("\n")
+		} else {
+			// Legacy: show combined-window variance.
+			fmt.Fprintf(&b, "**Clock/power variance (combined window):** clock CV %.1f%% · power CV %.1f%% · clock drift %.1f%%\n\n",
+				gpu.Steady.ClockCVPct, gpu.Steady.PowerCVPct, gpu.Steady.ClockDriftPct)
+		}
+
+
+		// ECC summary
+		if !gpu.ECC.IsZero() {
+			fmt.Fprintf(&b, "**ECC errors (total):** corrected=%d uncorrected=%d\n\n",
+				gpu.ECC.Corrected, gpu.ECC.Uncorrected)
+		}
+
 		// Throttle
 		throttle := formatThrottleLine(gpu.Throttle, gpu.Steady.DurationSec)
 		if throttle != "none" {
@@ -163,12 +229,14 @@ func renderBenchmarkReportWithCharts(result NvidiaBenchmarkResult, charts []benc
 		// Precision results
 		if len(gpu.PrecisionResults) > 0 {
 			b.WriteString("**Precision results:**\n\n")
-			b.WriteString("| Precision | TOPS | Lanes | Iterations |\n|-----------|------|-------|------------|\n")
+			b.WriteString("| Precision | TOPS (raw) | Weight | TOPS (fp32-eq) | Lanes | Iterations |\n|-----------|------------|--------|----------------|-------|------------|\n")
 			for _, p := range gpu.PrecisionResults {
 				if p.Supported {
-					fmt.Fprintf(&b, "| %s | %.2f | %d | %d |\n", p.Name, p.TeraOpsPerSec, p.Lanes, p.Iterations)
+					weightStr := fmt.Sprintf("×%.3g", p.Weight)
+					fmt.Fprintf(&b, "| %s | %.2f | %s | %.2f | %d | %d |\n",
+						p.Name, p.TeraOpsPerSec, weightStr, p.WeightedTeraOpsPerSec, p.Lanes, p.Iterations)
 				} else {
-					fmt.Fprintf(&b, "| %s | — (unsupported) | — | — |\n", p.Name)
+					fmt.Fprintf(&b, "| %s | — (unsupported) | — | — | — | — |\n", p.Name)
 				}
 			}
 			b.WriteString("\n")

audit/internal/platform/benchmark_test.go

@@ -178,3 +178,67 @@ func TestRenderBenchmarkReportIncludesTerminalChartsWithoutANSI(t *testing.T) {
 		t.Fatalf("report should not contain ANSI escapes\n%s", report)
 	}
 }
+
+func TestEnrichGPUInfoWithMaxClocks(t *testing.T) {
+	t.Parallel()
+
+	nvsmiQ := []byte(`
+GPU 00000000:4E:00.0
+    Product Name                          : NVIDIA RTX PRO 6000 Blackwell Server Edition
+    Clocks
+        Graphics                          : 2422 MHz
+        Memory                            : 12481 MHz
+    Max Clocks
+        Graphics                          : 2430 MHz
+        SM                                : 2430 MHz
+        Memory                            : 12481 MHz
+        Video                             : 2107 MHz
+
+GPU 00000000:4F:00.0
+    Product Name                          : NVIDIA RTX PRO 6000 Blackwell Server Edition
+    Max Clocks
+        Graphics                          : 2430 MHz
+        Memory                            : 12481 MHz
+`)
+
+	infoByIndex := map[int]benchmarkGPUInfo{
+		0: {Index: 0, BusID: "00000000:4E:00.0"},
+		1: {Index: 1, BusID: "00000000:4F:00.0"},
+	}
+
+	enrichGPUInfoWithMaxClocks(infoByIndex, nvsmiQ)
+
+	if infoByIndex[0].MaxGraphicsClockMHz != 2430 {
+		t.Errorf("GPU 0 MaxGraphicsClockMHz = %v, want 2430", infoByIndex[0].MaxGraphicsClockMHz)
+	}
+	if infoByIndex[0].MaxMemoryClockMHz != 12481 {
+		t.Errorf("GPU 0 MaxMemoryClockMHz = %v, want 12481", infoByIndex[0].MaxMemoryClockMHz)
+	}
+	if infoByIndex[1].MaxGraphicsClockMHz != 2430 {
+		t.Errorf("GPU 1 MaxGraphicsClockMHz = %v, want 2430", infoByIndex[1].MaxGraphicsClockMHz)
+	}
+	if infoByIndex[1].MaxMemoryClockMHz != 12481 {
+		t.Errorf("GPU 1 MaxMemoryClockMHz = %v, want 12481", infoByIndex[1].MaxMemoryClockMHz)
+	}
+}
+
+func TestEnrichGPUInfoWithMaxClocksSkipsPopulated(t *testing.T) {
+	t.Parallel()
+
+	nvsmiQ := []byte(`
+GPU 00000000:4E:00.0
+    Max Clocks
+        Graphics                          : 9999 MHz
+        Memory                            : 9999 MHz
+`)
+	// Already populated — must not be overwritten.
+	infoByIndex := map[int]benchmarkGPUInfo{
+		0: {Index: 0, BusID: "00000000:4E:00.0", MaxGraphicsClockMHz: 2430, MaxMemoryClockMHz: 12481},
+	}
+
+	enrichGPUInfoWithMaxClocks(infoByIndex, nvsmiQ)
+
+	if infoByIndex[0].MaxGraphicsClockMHz != 2430 {
+		t.Errorf("expected existing value to be preserved, got %v", infoByIndex[0].MaxGraphicsClockMHz)
+	}
+}

audit/internal/platform/benchmark_types.go

@@ -2,6 +2,29 @@ package platform
 
 import "time"
 
+// BenchmarkHostConfig holds static CPU and memory configuration captured at
+// benchmark start. Useful for correlating results across runs on different hardware.
+type BenchmarkHostConfig struct {
+	CPUModel    string  `json:"cpu_model,omitempty"`
+	CPUSockets  int     `json:"cpu_sockets,omitempty"`
+	CPUCores    int     `json:"cpu_cores,omitempty"`
+	CPUThreads  int     `json:"cpu_threads,omitempty"`
+	MemTotalGiB float64 `json:"mem_total_gib,omitempty"`
+}
+
+// BenchmarkCPULoad summarises host CPU utilisation sampled during the GPU
+// steady-state phase. High or unstable CPU load during a GPU benchmark may
+// indicate a competing workload or a CPU-bound driver bottleneck.
+type BenchmarkCPULoad struct {
+	AvgPct  float64 `json:"avg_pct"`
+	MaxPct  float64 `json:"max_pct"`
+	P95Pct  float64 `json:"p95_pct"`
+	Samples int     `json:"samples"`
+	// Status is "ok", "high", or "unstable".
+	Status string `json:"status"`
+	Note   string `json:"note,omitempty"`
+}
+
 const (
 	NvidiaBenchmarkProfileStandard  = "standard"
 	NvidiaBenchmarkProfileStability = "stability"
@@ -14,7 +37,10 @@ type NvidiaBenchmarkOptions struct {
 	GPUIndices        []int
 	ExcludeGPUIndices []int
 	RunNCCL           bool
-	ParallelGPUs      bool // run all selected GPUs simultaneously instead of sequentially
+	ParallelGPUs      bool   // run all selected GPUs simultaneously instead of sequentially
+	RampStep          int    // 1-based step index within a ramp-up run (0 = not a ramp-up)
+	RampTotal         int    // total number of ramp-up steps in this run
+	RampRunID         string // shared identifier across all steps of the same ramp-up run
 }
 
 
@@ -25,11 +51,17 @@ type NvidiaBenchmarkResult struct {
 	ServerModel        string                       `json:"server_model,omitempty"`
 	BenchmarkProfile   string                       `json:"benchmark_profile"`
 	ParallelGPUs       bool                         `json:"parallel_gpus,omitempty"`
+	RampStep           int                          `json:"ramp_step,omitempty"`
+	RampTotal          int                          `json:"ramp_total,omitempty"`
+	RampRunID          string                       `json:"ramp_run_id,omitempty"`
+	ScalabilityScore   float64                      `json:"scalability_score,omitempty"`
 	OverallStatus      string                       `json:"overall_status"`
 	SelectedGPUIndices []int                        `json:"selected_gpu_indices"`
 	Findings           []string                     `json:"findings,omitempty"`
 	Warnings           []string                     `json:"warnings,omitempty"`
 	Normalization      BenchmarkNormalization       `json:"normalization"`
+	HostConfig         *BenchmarkHostConfig         `json:"host_config,omitempty"`
+	CPULoad            *BenchmarkCPULoad            `json:"cpu_load,omitempty"`
 	GPUs               []BenchmarkGPUResult         `json:"gpus"`
 	Interconnect       *BenchmarkInterconnectResult `json:"interconnect,omitempty"`
 	ServerPower        *BenchmarkServerPower        `json:"server_power,omitempty"`
@@ -63,16 +95,24 @@ type BenchmarkGPUResult struct {
 	PowerLimitW            float64                    `json:"power_limit_w,omitempty"`
 	MultiprocessorCount    int                        `json:"multiprocessor_count,omitempty"`
 	DefaultPowerLimitW     float64                    `json:"default_power_limit_w,omitempty"`
+	// CalibratedPeakPowerW is the p95 power measured during a short
+	// dcgmi targeted_power calibration run before the main benchmark.
+	// Used as the reference denominator for PowerSustainScore instead of
+	// the hardware default limit, which bee-gpu-burn cannot reach.
+	CalibratedPeakPowerW   float64                    `json:"calibrated_peak_power_w,omitempty"`
 	MaxGraphicsClockMHz    float64                    `json:"max_graphics_clock_mhz,omitempty"`
 	BaseGraphicsClockMHz   float64                    `json:"base_graphics_clock_mhz,omitempty"`
 	MaxMemoryClockMHz      float64                    `json:"max_memory_clock_mhz,omitempty"`
 	LockedGraphicsClockMHz float64                    `json:"locked_graphics_clock_mhz,omitempty"`
 	LockedMemoryClockMHz   float64                    `json:"locked_memory_clock_mhz,omitempty"`
-	Baseline               BenchmarkTelemetrySummary  `json:"baseline"`
-	Steady                 BenchmarkTelemetrySummary  `json:"steady"`
-	Cooldown               BenchmarkTelemetrySummary  `json:"cooldown"`
-	Throttle               BenchmarkThrottleCounters  `json:"throttle_counters"`
-	PrecisionResults       []BenchmarkPrecisionResult `json:"precision_results,omitempty"`
+	Baseline               BenchmarkTelemetrySummary       `json:"baseline"`
+	Steady                 BenchmarkTelemetrySummary       `json:"steady"`
+	PrecisionSteady        []BenchmarkPrecisionSteadyPhase `json:"precision_steady,omitempty"`
+	Cooldown               BenchmarkTelemetrySummary       `json:"cooldown"`
+	Throttle               BenchmarkThrottleCounters       `json:"throttle_counters"`
+	// ECC error delta accumulated over the full benchmark (all phases combined).
+	ECC                    BenchmarkECCCounters            `json:"ecc,omitempty"`
+	PrecisionResults       []BenchmarkPrecisionResult      `json:"precision_results,omitempty"`
 	Scores                 BenchmarkScorecard         `json:"scores"`
 	DegradationReasons     []string                   `json:"degradation_reasons,omitempty"`
 	Notes                  []string                   `json:"notes,omitempty"`
@@ -105,6 +145,18 @@ type BenchmarkThrottleCounters struct {
 	HWPowerBrakeSlowdownUS uint64 `json:"hw_power_brake_slowdown_us"`
 }
 
+// BenchmarkECCCounters holds ECC error counts sampled at a point in time.
+// Corrected = single-bit errors fixed by ECC (DRAM degradation).
+// Uncorrected = double-bit errors that could not be corrected (serious fault).
+// Both are volatile (since last driver reset), not persistent.
+type BenchmarkECCCounters struct {
+	Corrected   uint64 `json:"corrected"`
+	Uncorrected uint64 `json:"uncorrected"`
+}
+
+func (e BenchmarkECCCounters) Total() uint64 { return e.Corrected + e.Uncorrected }
+func (e BenchmarkECCCounters) IsZero() bool  { return e.Corrected == 0 && e.Uncorrected == 0 }
+
 type BenchmarkPrecisionResult struct {
 	Name          string  `json:"name"`
 	Category      string  `json:"category"`
@@ -115,19 +167,31 @@ type BenchmarkPrecisionResult struct {
 	K             uint64  `json:"k,omitempty"`
 	Iterations    uint64  `json:"iterations,omitempty"`
 	TeraOpsPerSec float64 `json:"teraops_per_sec,omitempty"`
+	// Weight is the fp32-equivalence factor for this precision category.
+	// fp32 = 1.0 (baseline), fp64 = 2.0, fp16 = 0.5, fp8 = 0.25, fp4 = 0.125.
+	// WeightedTOPS = TeraOpsPerSec * Weight gives fp32-equivalent throughput.
+	Weight              float64 `json:"weight,omitempty"`
+	WeightedTeraOpsPerSec float64 `json:"weighted_teraops_per_sec,omitempty"`
 	Notes         string  `json:"notes,omitempty"`
 }
 
 type BenchmarkScorecard struct {
 	ComputeScore        float64 `json:"compute_score"`
+	// SyntheticScore is the sum of fp32-equivalent TOPS from per-precision
+	// steady phases (each precision ran alone, full GPU dedicated).
+	SyntheticScore      float64 `json:"synthetic_score,omitempty"`
+	// MixedScore is the sum of fp32-equivalent TOPS from the combined phase
+	// (all precisions competing simultaneously — closer to real workloads).
+	MixedScore          float64 `json:"mixed_score,omitempty"`
+	// MixedEfficiency = MixedScore / SyntheticScore. Measures how well the GPU
+	// sustains throughput under concurrent mixed-precision load.
+	MixedEfficiency     float64 `json:"mixed_efficiency,omitempty"`
 	PowerSustainScore   float64 `json:"power_sustain_score"`
 	ThermalSustainScore float64 `json:"thermal_sustain_score"`
 	StabilityScore      float64 `json:"stability_score"`
 	InterconnectScore   float64 `json:"interconnect_score"`
 	CompositeScore      float64 `json:"composite_score"`
 	// TOPSPerSMPerGHz is compute efficiency independent of clock speed and SM count.
-	// Comparable across throttle levels and GPU generations. Low value at normal
-	// clocks indicates silicon degradation.
 	TOPSPerSMPerGHz float64 `json:"tops_per_sm_per_ghz,omitempty"`
 }
 
@@ -145,6 +209,20 @@ type BenchmarkServerPower struct {
 	Notes           []string `json:"notes,omitempty"`
 }
 
+// BenchmarkPrecisionSteadyPhase holds per-precision-category telemetry collected
+// during a dedicated single-precision steady window.  Because only one kernel
+// type runs at a time the PowerCVPct here is a genuine stability signal.
+type BenchmarkPrecisionSteadyPhase struct {
+	Precision             string                    `json:"precision"` // e.g. "fp8", "fp16", "fp32"
+	Steady                BenchmarkTelemetrySummary `json:"steady"`
+	TeraOpsPerSec         float64                   `json:"teraops_per_sec,omitempty"`
+	WeightedTeraOpsPerSec float64                   `json:"weighted_teraops_per_sec,omitempty"`
+	// ECC errors accumulated during this precision phase only.
+	// Non-zero corrected = stress-induced DRAM errors for this kernel type.
+	// Any uncorrected = serious fault triggered by this precision workload.
+	ECC                   BenchmarkECCCounters      `json:"ecc,omitempty"`
+}
+
 type BenchmarkInterconnectResult struct {
 	Status             string   `json:"status"`
 	Attempted          bool     `json:"attempted"`

audit/internal/platform/install_to_ram.go

@@ -14,9 +14,17 @@ import (
 func (s *System) IsLiveMediaInRAM() bool {
 	fsType := mountFSType("/run/live/medium")
 	if fsType == "" {
+		// No medium mount at all — fall back to toram kernel parameter.
 		return toramActive()
 	}
-	return strings.EqualFold(fsType, "tmpfs")
+	if strings.EqualFold(fsType, "tmpfs") {
+		return true
+	}
+	// When RunInstallToRAM copies squashfs to /dev/shm/bee-live but the bind
+	// mount of /run/live/medium fails (common for CD-ROM boots), the medium
+	// fstype still shows the CD-ROM type. Check whether the RAM copy exists.
+	files, _ := filepath.Glob("/dev/shm/bee-live/*.squashfs")
+	return len(files) > 0
 }
 
 func (s *System) LiveBootSource() LiveBootSource {

audit/internal/platform/platform_stress.go

@@ -161,13 +161,7 @@ func (s *System) RunPlatformStress(
 	}
 	_ = os.WriteFile(filepath.Join(runDir, "summary.txt"), []byte(summary), 0644)
 
-	// Pack tar.gz
-	archivePath := filepath.Join(baseDir, "platform-stress-"+stamp+".tar.gz")
-	if err := packPlatformDir(runDir, archivePath); err != nil {
-		return "", fmt.Errorf("pack archive: %w", err)
-	}
-	_ = os.RemoveAll(runDir)
-	return archivePath, nil
+	return runDir, nil
 }
 
 // collectPhase samples live metrics every second until ctx is done.

audit/internal/platform/runtime.go

@@ -1,6 +1,7 @@
 package platform
 
 import (
+	"bufio"
 	"os"
 	"os/exec"
 	"strings"
@@ -114,6 +115,8 @@ func (s *System) CollectRuntimeHealth(exportDir string) (schema.RuntimeHealth, e
 	}
 
 	s.collectGPURuntimeHealth(vendor, &health)
+	s.collectToRAMHealth(&health)
+	s.collectUSBExportHealth(&health)
 
 	if health.Status != "FAILED" && len(health.Issues) > 0 {
 		health.Status = "PARTIAL"
@@ -168,6 +171,96 @@ func resolvedToolStatus(display string, candidates ...string) ToolStatus {
 	return ToolStatus{Name: display}
 }
 
+// collectToRAMHealth checks whether the LiveCD ISO has been copied to RAM.
+// Status values: "ok" = in RAM, "warning" = toram not active (no copy attempted),
+// "failed" = toram was requested but medium is not in RAM (copy failed or in progress).
+func (s *System) collectToRAMHealth(health *schema.RuntimeHealth) {
+	inRAM := s.IsLiveMediaInRAM()
+	active := toramActive()
+	switch {
+	case inRAM:
+		health.ToRAMStatus = "ok"
+	case active:
+		// toram was requested but medium is not yet/no longer in RAM
+		health.ToRAMStatus = "failed"
+		health.Issues = append(health.Issues, schema.RuntimeIssue{
+			Code:        "toram_copy_failed",
+			Severity:    "warning",
+			Description: "toram boot parameter is set but the live medium is not mounted from RAM.",
+		})
+	default:
+		health.ToRAMStatus = "warning"
+	}
+}
+
+// collectUSBExportHealth scans /proc/mounts for a writable USB-backed filesystem
+// suitable for log export. Sets USBExportPath to the first match found.
+func (s *System) collectUSBExportHealth(health *schema.RuntimeHealth) {
+	health.USBExportPath = findUSBExportMount()
+}
+
+// findUSBExportMount returns the mount point of the first writable USB filesystem
+// found in /proc/mounts (vfat, exfat, ext2/3/4, ntfs) whose backing block device
+// has USB transport. Returns "" if none found.
+func findUSBExportMount() string {
+	f, err := os.Open("/proc/mounts")
+	if err != nil {
+		return ""
+	}
+	defer f.Close()
+
+	// fs types that are expected on USB export drives
+	exportFSTypes := map[string]bool{
+		"vfat":  true,
+		"exfat": true,
+		"ext2":  true,
+		"ext3":  true,
+		"ext4":  true,
+		"ntfs":  true,
+		"ntfs3": true,
+		"fuseblk": true,
+	}
+
+	scanner := bufio.NewScanner(f)
+	for scanner.Scan() {
+		// fields: device mountpoint fstype options dump pass
+		fields := strings.Fields(scanner.Text())
+		if len(fields) < 4 {
+			continue
+		}
+		device, mountPoint, fsType, options := fields[0], fields[1], fields[2], fields[3]
+		if !exportFSTypes[strings.ToLower(fsType)] {
+			continue
+		}
+		// Skip read-only mounts
+		opts := strings.Split(options, ",")
+		readOnly := false
+		for _, o := range opts {
+			if strings.TrimSpace(o) == "ro" {
+				readOnly = true
+				break
+			}
+		}
+		if readOnly {
+			continue
+		}
+		// Check USB transport via lsblk on the device (or its parent disk for partitions).
+		if !strings.HasPrefix(device, "/dev/") {
+			continue
+		}
+		checkDev := device
+		// lsblk only reports TRAN for the whole disk, not for partitions (e.g. /dev/sdc1).
+		// Strip trailing partition digits to get the parent disk name.
+		if trimmed := strings.TrimRight(device, "0123456789"); trimmed != device && len(trimmed) > len("/dev/") {
+			checkDev = trimmed
+		}
+		if blockDeviceTransport(checkDev) == "usb" {
+			return mountPoint
+		}
+	}
+	return ""
+}
+
 func (s *System) collectGPURuntimeHealth(vendor string, health *schema.RuntimeHealth) {
 	lsmodText := commandText("lsmod")
 

audit/internal/platform/sat.go

@@ -662,11 +662,7 @@ func (s *System) RunStorageAcceptancePack(ctx context.Context, baseDir string, e
 	if err := os.WriteFile(filepath.Join(runDir, "summary.txt"), []byte(summary.String()), 0644); err != nil {
 		return "", err
 	}
-	archive := filepath.Join(baseDir, "storage-"+ts+".tar.gz")
-	if err := createTarGz(archive, runDir); err != nil {
-		return "", err
-	}
-	return archive, nil
+	return runDir, nil
 }
 
 type satJob struct {
@@ -852,11 +848,7 @@ func runAcceptancePackCtx(ctx context.Context, baseDir, prefix string, jobs []sa
 		}
 	}
 
-	archive := filepath.Join(baseDir, prefix+"-"+ts+".tar.gz")
-	if err := createTarGz(archive, runDir); err != nil {
-		return "", err
-	}
-	return archive, nil
+	return runDir, nil
 }
 
 func updateNvidiaGPUStatus(perGPU map[int]*nvidiaGPUStatusFile, idx int, status, jobName, detail string) {
@@ -919,7 +911,7 @@ func writeNvidiaGPUStatusFiles(runDir, overall string, perGPU map[int]*nvidiaGPU
 			entry.Health = "UNKNOWN"
 		}
 		if entry.Name == "" {
-			entry.Name = "unknown"
+			entry.Name = "Unknown GPU"
 		}
 		var body strings.Builder
 		fmt.Fprintf(&body, "gpu_index=%d\n", entry.Index)

audit/internal/platform/sat_fan_stress.go

@@ -223,11 +223,7 @@ func (s *System) RunFanStressTest(ctx context.Context, baseDir string, opts FanS
 		return "", err
 	}
 
-	archive := filepath.Join(baseDir, "fan-stress-"+ts+".tar.gz")
-	if err := createTarGz(archive, runDir); err != nil {
-		return "", err
-	}
-	return archive, nil
+	return runDir, nil
 }
 
 func applyFanStressDefaults(opts *FanStressOptions) {

audit/internal/platform/techdump.go

@@ -20,6 +20,7 @@ var techDumpFixedCommands = []struct {
 	{Name: "dmidecode", Args: []string{"-t", "4"}, File: "dmidecode-type4.txt"},
 	{Name: "dmidecode", Args: []string{"-t", "17"}, File: "dmidecode-type17.txt"},
 	{Name: "lspci", Args: []string{"-vmm", "-D"}, File: "lspci-vmm.txt"},
+	{Name: "lspci", Args: []string{"-vvv"}, File: "lspci-vvv.txt"},
 	{Name: "lsblk", Args: []string{"-J", "-d", "-o", "NAME,TYPE,SIZE,SERIAL,MODEL,TRAN,HCTL"}, File: "lsblk.json"},
 	{Name: "sensors", Args: []string{"-j"}, File: "sensors.json"},
 	{Name: "ipmitool", Args: []string{"fru", "print"}, File: "ipmitool-fru.txt"},

audit/internal/schema/hardware.go

@@ -22,6 +22,10 @@ type RuntimeHealth struct {
 	CUDAReady     bool                   `json:"cuda_ready,omitempty"`
 	NvidiaGSPMode string                 `json:"nvidia_gsp_mode,omitempty"` // "gsp-on", "gsp-off", "gsp-stuck"
 	NetworkStatus string                 `json:"network_status,omitempty"`
+	// ToRAMStatus: "ok" (ISO in RAM), "warning" (toram not active), "failed" (toram active but copy failed)
+	ToRAMStatus   string `json:"toram_status,omitempty"`
+	// USBExportPath: mount point of the first writable USB drive found, empty if none.
+	USBExportPath string `json:"usb_export_path,omitempty"`
 	Issues        []RuntimeIssue         `json:"issues,omitempty"`
 	Tools         []RuntimeToolStatus    `json:"tools,omitempty"`
 	Services      []RuntimeServiceStatus `json:"services,omitempty"`
@@ -183,6 +187,13 @@ type HardwarePCIeDevice struct {
 	BatteryTemperatureC    *float64       `json:"battery_temperature_c,omitempty"`
 	BatteryVoltageV        *float64       `json:"battery_voltage_v,omitempty"`
 	BatteryReplaceRequired *bool          `json:"battery_replace_required,omitempty"`
+	SFPPresent             *bool          `json:"sfp_present,omitempty"`
+	SFPIdentifier          *string        `json:"sfp_identifier,omitempty"`
+	SFPConnector           *string        `json:"sfp_connector,omitempty"`
+	SFPVendor              *string        `json:"sfp_vendor,omitempty"`
+	SFPPartNumber          *string        `json:"sfp_part_number,omitempty"`
+	SFPSerialNumber        *string        `json:"sfp_serial_number,omitempty"`
+	SFPWavelengthNM        *float64       `json:"sfp_wavelength_nm,omitempty"`
 	SFPTemperatureC        *float64       `json:"sfp_temperature_c,omitempty"`
 	SFPTXPowerDBM          *float64       `json:"sfp_tx_power_dbm,omitempty"`
 	SFPRXPowerDBM          *float64       `json:"sfp_rx_power_dbm,omitempty"`

audit/internal/webui/api.go

@@ -12,6 +12,7 @@ import (
 	"path/filepath"
 	"regexp"
 	"sort"
+	"strconv"
 	"strings"
 	"sync/atomic"
 	"syscall"
@@ -209,6 +210,14 @@ func joinTaskIndices(indices []int) string {
 	return strings.Join(parts, ",")
 }
 
+func formatGPUIndexList(indices []int) string {
+	parts := make([]string, len(indices))
+	for i, idx := range indices {
+		parts[i] = strconv.Itoa(idx)
+	}
+	return strings.Join(parts, ",")
+}
+
 func formatSplitTaskName(baseName, selectionLabel string) string {
 	baseName = strings.TrimSpace(baseName)
 	selectionLabel = strings.TrimSpace(selectionLabel)
@@ -488,6 +497,7 @@ func (h *handler) handleAPISATRun(target string) http.HandlerFunc {
 				GPUIndices         []int    `json:"gpu_indices"`
 				ExcludeGPUIndices  []int    `json:"exclude_gpu_indices"`
 				StaggerGPUStart    bool     `json:"stagger_gpu_start"`
+				ParallelGPUs       bool     `json:"parallel_gpus"`
 				Loader             string   `json:"loader"`
 			Profile            string   `json:"profile"`
 			DisplayName        string   `json:"display_name"`
@@ -510,6 +520,7 @@ func (h *handler) handleAPISATRun(target string) http.HandlerFunc {
 				GPUIndices:         body.GPUIndices,
 				ExcludeGPUIndices:  body.ExcludeGPUIndices,
 				StaggerGPUStart:    body.StaggerGPUStart,
+				ParallelGPUs:       body.ParallelGPUs,
 				Loader:             body.Loader,
 			BurnProfile:        body.Profile,
 			DisplayName:        body.DisplayName,
@@ -540,6 +551,7 @@ func (h *handler) handleAPIBenchmarkNvidiaRun(w http.ResponseWriter, r *http.Req
 		ExcludeGPUIndices []int  `json:"exclude_gpu_indices"`
 		RunNCCL           *bool  `json:"run_nccl"`
 		ParallelGPUs      *bool  `json:"parallel_gpus"`
+		RampUp            *bool  `json:"ramp_up"`
 		DisplayName       string `json:"display_name"`
 	}
 	if r.Body != nil {
@@ -557,10 +569,82 @@ func (h *handler) handleAPIBenchmarkNvidiaRun(w http.ResponseWriter, r *http.Req
 	if body.ParallelGPUs != nil {
 		parallelGPUs = *body.ParallelGPUs
 	}
+	rampUp := false
+	if body.RampUp != nil {
+		rampUp = *body.RampUp
+	}
+	// Build a descriptive base name that includes profile and mode so the task
+	// list is self-explanatory without opening individual task detail pages.
+	profile := strings.TrimSpace(body.Profile)
+	if profile == "" {
+		profile = "standard"
+	}
 	name := taskDisplayName("nvidia-benchmark", "", "")
 	if strings.TrimSpace(body.DisplayName) != "" {
 		name = body.DisplayName
 	}
+	// Append profile tag.
+	name = fmt.Sprintf("%s · %s", name, profile)
+
+	if rampUp && len(body.GPUIndices) > 1 {
+		// Ramp-up mode: resolve GPU list, then create one task per prefix
+		// [gpu0], [gpu0,gpu1], ..., [gpu0,...,gpuN-1], each running in parallel.
+		gpus, err := apiListNvidiaGPUs(h.opts.App)
+		if err != nil {
+			writeError(w, http.StatusBadRequest, err.Error())
+			return
+		}
+		resolved, err := expandSelectedGPUIndices(gpus, body.GPUIndices, body.ExcludeGPUIndices)
+		if err != nil {
+			writeError(w, http.StatusBadRequest, err.Error())
+			return
+		}
+		if len(resolved) < 2 {
+			// Fall through to normal single-task path.
+			rampUp = false
+		} else {
+			now := time.Now()
+			rampRunID := fmt.Sprintf("ramp-%s", now.UTC().Format("20060102-150405"))
+			var allTasks []*Task
+			for step := 1; step <= len(resolved); step++ {
+				subset := resolved[:step]
+				stepName := fmt.Sprintf("%s · ramp %d/%d · GPU %s", name, step, len(resolved), formatGPUIndexList(subset))
+				t := &Task{
+					ID:        newJobID("benchmark-nvidia"),
+					Name:      stepName,
+					Target:    "nvidia-benchmark",
+					Priority:  15,
+					Status:    TaskPending,
+					CreatedAt: now,
+					params: taskParams{
+						GPUIndices:       append([]int(nil), subset...),
+						SizeMB:           body.SizeMB,
+						BenchmarkProfile: body.Profile,
+						RunNCCL:          runNCCL && step == len(resolved),
+						ParallelGPUs:     true,
+						RampStep:         step,
+						RampTotal:        len(resolved),
+						RampRunID:        rampRunID,
+						DisplayName:      stepName,
+					},
+				}
+				allTasks = append(allTasks, t)
+			}
+			for _, t := range allTasks {
+				globalQueue.enqueue(t)
+			}
+			writeTaskRunResponse(w, allTasks)
+			return
+		}
+	}
+
+	// For non-ramp tasks append mode tag.
+	if parallelGPUs {
+		name = fmt.Sprintf("%s · parallel", name)
+	} else {
+		name = fmt.Sprintf("%s · sequential", name)
+	}
+
 	tasks, err := buildNvidiaTaskSet("nvidia-benchmark", 15, time.Now(), taskParams{
 		GPUIndices:        body.GPUIndices,
 		ExcludeGPUIndices: body.ExcludeGPUIndices,

audit/internal/webui/charts_svg.go

@@ -83,6 +83,10 @@ func renderMetricChartSVG(title string, labels []string, times []time.Time, data
 		}
 	}
 
+	// Downsample to at most ~1400 points (one per pixel) before building SVG.
+	times, datasets = downsampleTimeSeries(times, datasets, 1400)
+	pointCount = len(times)
+
 	statsLabel := chartStatsLabel(datasets)
 
 	legendItems := []metricChartSeries{}
@@ -196,6 +200,19 @@ func drawGPUOverviewChartSVG(title string, labels []string, times []time.Time, s
 		}
 	}
 
+	// Downsample to at most ~1400 points before building SVG.
+	{
+		datasets := make([][]float64, len(series))
+		for i := range series {
+			datasets[i] = series[i].Values
+		}
+		times, datasets = downsampleTimeSeries(times, datasets, 1400)
+		pointCount = len(times)
+		for i := range series {
+			series[i].Values = datasets[i]
+		}
+	}
+
 	scales := make([]chartScale, len(series))
 	for i := range series {
 		min, max := chartSeriesBounds(series[i].Values)
@@ -626,6 +643,87 @@ func writeTimelineBoundaries(b *strings.Builder, layout chartLayout, start, end
 	b.WriteString(`</g>` + "\n")
 }
 
+// downsampleTimeSeries reduces the time series to at most maxPts points using
+// min-max bucketing. Each bucket contributes the index of its min and max value
+// (using the first full-length dataset as the reference series). All parallel
+// datasets are sampled at those same indices so all series stay aligned.
+// If len(times) <= maxPts the inputs are returned unchanged.
+func downsampleTimeSeries(times []time.Time, datasets [][]float64, maxPts int) ([]time.Time, [][]float64) {
+	n := len(times)
+	if n <= maxPts || maxPts <= 0 {
+		return times, datasets
+	}
+	buckets := maxPts / 2
+	if buckets < 1 {
+		buckets = 1
+	}
+	// Use the first dataset that has the same length as times as the reference
+	// for deciding which two indices to keep per bucket.
+	var ref []float64
+	for _, ds := range datasets {
+		if len(ds) == n {
+			ref = ds
+			break
+		}
+	}
+	selected := make([]int, 0, maxPts)
+	bucketSize := float64(n) / float64(buckets)
+	for b := 0; b < buckets; b++ {
+		lo := int(math.Round(float64(b) * bucketSize))
+		hi := int(math.Round(float64(b+1) * bucketSize))
+		if hi > n {
+			hi = n
+		}
+		if lo >= hi {
+			continue
+		}
+		if ref == nil {
+			selected = append(selected, lo)
+			if hi-1 != lo {
+				selected = append(selected, hi-1)
+			}
+			continue
+		}
+		minIdx, maxIdx := lo, lo
+		for i := lo + 1; i < hi; i++ {
+			if ref[i] < ref[minIdx] {
+				minIdx = i
+			}
+			if ref[i] > ref[maxIdx] {
+				maxIdx = i
+			}
+		}
+		if minIdx <= maxIdx {
+			selected = append(selected, minIdx)
+			if maxIdx != minIdx {
+				selected = append(selected, maxIdx)
+			}
+		} else {
+			selected = append(selected, maxIdx)
+			if minIdx != maxIdx {
+				selected = append(selected, minIdx)
+			}
+		}
+	}
+	outTimes := make([]time.Time, len(selected))
+	for i, idx := range selected {
+		outTimes[i] = times[idx]
+	}
+	outDatasets := make([][]float64, len(datasets))
+	for d, ds := range datasets {
+		if len(ds) != n {
+			outDatasets[d] = ds
+			continue
+		}
+		out := make([]float64, len(selected))
+		for i, idx := range selected {
+			out[i] = ds[idx]
+		}
+		outDatasets[d] = out
+	}
+	return outTimes, outDatasets
+}
+
 func chartXForTime(ts, start, end time.Time, left, right int) float64 {
 	if !end.After(start) {
 		return float64(left+right) / 2

audit/internal/webui/pages.go

@@ -317,106 +317,326 @@ func renderHardwareSummaryCard(opts HandlerOptions) string {
 	if err != nil {
 		return `<div class="card"><div class="card-head card-head-actions"><span>Hardware Summary</span><div class="card-head-buttons"><button class="btn btn-primary btn-sm" onclick="auditModalRun()">Run audit</button></div></div><div class="card-body"></div></div>`
 	}
-	// Parse just enough fields for the summary banner
-	var snap struct {
-		Summary struct {
-			CPU     struct{ Model string }
-			Memory  struct{ TotalGB float64 }
-			Storage []struct{ Device, Model, Size string }
-			GPUs    []struct{ Model string }
-			PSUs    []struct{ Model string }
-		}
-		Network struct {
-			Interfaces []struct {
-				Name  string
-				IPv4  []string
-				State string
-			}
-		}
-	}
-	// Try to extract top-level fields loosely
-	var raw map[string]json.RawMessage
-	if err := json.Unmarshal(data, &raw); err != nil {
+	var ingest schema.HardwareIngestRequest
+	if err := json.Unmarshal(data, &ingest); err != nil {
 		return `<div class="card"><div class="card-head">Hardware Summary</div><div class="card-body"><span class="badge badge-err">Parse error</span></div></div>`
 	}
-	_ = snap
+	hw := ingest.Hardware
 
-	// Also load runtime-health for badges
-	type componentHealth struct {
-		FailCount int `json:"fail_count"`
-		WarnCount int `json:"warn_count"`
+	var records []app.ComponentStatusRecord
+	if db, err := app.OpenComponentStatusDB(filepath.Join(opts.ExportDir, "component-status.json")); err == nil {
+		records = db.All()
 	}
-	type healthSummary struct {
-		CPU     componentHealth `json:"cpu"`
-		Memory  componentHealth `json:"memory"`
-		Storage componentHealth `json:"storage"`
-		GPU     componentHealth `json:"gpu"`
-		PSU     componentHealth `json:"psu"`
-		Network componentHealth `json:"network"`
-	}
-	var health struct {
-		HardwareHealth healthSummary `json:"hardware_health"`
-	}
-	if hdata, herr := loadSnapshot(filepath.Join(opts.ExportDir, "runtime-health.json")); herr == nil {
-		_ = json.Unmarshal(hdata, &health)
-	}
-
-	badge := func(h componentHealth) string {
-		if h.FailCount > 0 {
-			return `<span class="badge badge-err">FAIL</span>`
-		}
-		if h.WarnCount > 0 {
-			return `<span class="badge badge-warn">WARN</span>`
-		}
-		return `<span class="badge badge-ok">OK</span>`
-	}
-
-	// Extract readable strings from raw JSON
-	getString := func(key string) string {
-		v, ok := raw[key]
-		if !ok {
-			return ""
-		}
-		var s string
-		if err := json.Unmarshal(v, &s); err == nil {
-			return s
-		}
-		return ""
-	}
-
-	cpuModel := getString("cpu_model")
-	memStr := getString("memory_summary")
-	gpuSummary := getString("gpu_summary")
 
 	var b strings.Builder
 	b.WriteString(`<div class="card"><div class="card-head">Hardware Summary</div><div class="card-body">`)
+
+	// Server identity block above the component table.
+	{
+		var model, serial string
+		parts := []string{}
+		if hw.Board.Manufacturer != nil && strings.TrimSpace(*hw.Board.Manufacturer) != "" {
+			parts = append(parts, strings.TrimSpace(*hw.Board.Manufacturer))
+		}
+		if hw.Board.ProductName != nil && strings.TrimSpace(*hw.Board.ProductName) != "" {
+			parts = append(parts, strings.TrimSpace(*hw.Board.ProductName))
+		}
+		if len(parts) > 0 {
+			model = strings.Join(parts, " ")
+		}
+		serial = strings.TrimSpace(hw.Board.SerialNumber)
+		if model != "" || serial != "" {
+			b.WriteString(`<div style="margin-bottom:14px">`)
+			if model != "" {
+				fmt.Fprintf(&b, `<div style="font-size:16px;font-weight:700;margin-bottom:2px">%s</div>`, html.EscapeString(model))
+			}
+			if serial != "" {
+				fmt.Fprintf(&b, `<div style="font-size:12px;color:var(--muted)">S/N: %s</div>`, html.EscapeString(serial))
+			}
+			b.WriteString(`</div>`)
+		}
+	}
+
 	b.WriteString(`<table style="width:auto">`)
 	writeRow := func(label, value, badgeHTML string) {
-		b.WriteString(fmt.Sprintf(`<tr><td style="padding:6px 14px 6px 0;font-weight:700;white-space:nowrap">%s</td><td style="padding:6px 0">%s</td><td style="padding:6px 0 6px 12px">%s</td></tr>`,
+		b.WriteString(fmt.Sprintf(`<tr><td style="padding:6px 14px 6px 0;font-weight:700;white-space:nowrap">%s</td><td style="padding:6px 0;color:var(--muted);font-size:13px">%s</td><td style="padding:6px 0 6px 12px">%s</td></tr>`,
 			html.EscapeString(label), html.EscapeString(value), badgeHTML))
 	}
-	if cpuModel != "" {
-		writeRow("CPU", cpuModel, badge(health.HardwareHealth.CPU))
-	} else {
-		writeRow("CPU", "—", badge(health.HardwareHealth.CPU))
+
+	cpuRow := aggregateComponentStatus("CPU", records, []string{"cpu:all"}, nil)
+	writeRow("CPU", hwDescribeCPU(hw), runtimeStatusBadge(cpuRow.Status))
+
+	memRow := aggregateComponentStatus("Memory", records, []string{"memory:all"}, []string{"memory:"})
+	writeRow("Memory", hwDescribeMemory(hw), runtimeStatusBadge(memRow.Status))
+
+	storageRow := aggregateComponentStatus("Storage", records, []string{"storage:all"}, []string{"storage:"})
+	writeRow("Storage", hwDescribeStorage(hw), runtimeStatusBadge(storageRow.Status))
+
+	gpuRow := aggregateComponentStatus("GPU", records, nil, []string{"pcie:gpu:"})
+	writeRow("GPU", hwDescribeGPU(hw), runtimeStatusBadge(gpuRow.Status))
+
+	psuRow := aggregateComponentStatus("PSU", records, nil, []string{"psu:"})
+	if psuRow.Status == "UNKNOWN" && len(hw.PowerSupplies) > 0 {
+		psuRow.Status = hwPSUStatus(hw.PowerSupplies)
 	}
-	if memStr != "" {
-		writeRow("Memory", memStr, badge(health.HardwareHealth.Memory))
-	} else {
-		writeRow("Memory", "—", badge(health.HardwareHealth.Memory))
+	writeRow("PSU", hwDescribePSU(hw), runtimeStatusBadge(psuRow.Status))
+
+	if nicDesc := hwDescribeNIC(hw); nicDesc != "" {
+		writeRow("Network", nicDesc, "")
 	}
-	if gpuSummary != "" {
-		writeRow("GPU", gpuSummary, badge(health.HardwareHealth.GPU))
-	} else {
-		writeRow("GPU", "—", badge(health.HardwareHealth.GPU))
-	}
-	writeRow("Storage", "—", badge(health.HardwareHealth.Storage))
-	writeRow("PSU", "—", badge(health.HardwareHealth.PSU))
+
 	b.WriteString(`</table>`)
 	b.WriteString(`</div></div>`)
 	return b.String()
 }
 
+// hwDescribeCPU returns a human-readable CPU summary, e.g. "2× Intel Xeon Gold 6338".
+func hwDescribeCPU(hw schema.HardwareSnapshot) string {
+	counts := map[string]int{}
+	order := []string{}
+	for _, cpu := range hw.CPUs {
+		model := "Unknown CPU"
+		if cpu.Model != nil && *cpu.Model != "" {
+			model = *cpu.Model
+		}
+		if counts[model] == 0 {
+			order = append(order, model)
+		}
+		counts[model]++
+	}
+	if len(order) == 0 {
+		return "—"
+	}
+	parts := make([]string, 0, len(order))
+	for _, m := range order {
+		if counts[m] > 1 {
+			parts = append(parts, fmt.Sprintf("%d× %s", counts[m], m))
+		} else {
+			parts = append(parts, m)
+		}
+	}
+	return strings.Join(parts, ", ")
+}
+
+// hwDescribeMemory returns a summary like "16× 32 GB DDR4".
+func hwDescribeMemory(hw schema.HardwareSnapshot) string {
+	type key struct {
+		sizeMB int
+		typ    string
+	}
+	counts := map[key]int{}
+	order := []key{}
+	for _, dimm := range hw.Memory {
+		if dimm.SizeMB == nil || *dimm.SizeMB == 0 {
+			continue
+		}
+		t := ""
+		if dimm.Type != nil {
+			t = *dimm.Type
+		}
+		k := key{*dimm.SizeMB, t}
+		if counts[k] == 0 {
+			order = append(order, k)
+		}
+		counts[k]++
+	}
+	if len(order) == 0 {
+		return "—"
+	}
+	parts := make([]string, 0, len(order))
+	for _, k := range order {
+		gb := k.sizeMB / 1024
+		desc := fmt.Sprintf("%d× %d GB", counts[k], gb)
+		if k.typ != "" {
+			desc += " " + k.typ
+		}
+		parts = append(parts, desc)
+	}
+	return strings.Join(parts, ", ")
+}
+
+// hwDescribeStorage returns a summary like "4× 3.84 TB NVMe, 2× 1.92 TB SATA".
+func hwDescribeStorage(hw schema.HardwareSnapshot) string {
+	type key struct {
+		sizeGB int
+		iface  string
+	}
+	counts := map[key]int{}
+	order := []key{}
+	for _, disk := range hw.Storage {
+		sz := 0
+		if disk.SizeGB != nil {
+			sz = *disk.SizeGB
+		}
+		iface := ""
+		if disk.Interface != nil {
+			iface = *disk.Interface
+		} else if disk.Type != nil {
+			iface = *disk.Type
+		}
+		k := key{sz, iface}
+		if counts[k] == 0 {
+			order = append(order, k)
+		}
+		counts[k]++
+	}
+	if len(order) == 0 {
+		return "—"
+	}
+	parts := make([]string, 0, len(order))
+	for _, k := range order {
+		var sizeStr string
+		if k.sizeGB >= 1000 {
+			sizeStr = fmt.Sprintf("%.2g TB", float64(k.sizeGB)/1000)
+		} else if k.sizeGB > 0 {
+			sizeStr = fmt.Sprintf("%d GB", k.sizeGB)
+		} else {
+			sizeStr = "?"
+		}
+		desc := fmt.Sprintf("%d× %s", counts[k], sizeStr)
+		if k.iface != "" {
+			desc += " " + k.iface
+		}
+		parts = append(parts, desc)
+	}
+	return strings.Join(parts, ", ")
+}
+
+// hwDescribeGPU returns a summary like "8× NVIDIA H100 80GB".
+func hwDescribeGPU(hw schema.HardwareSnapshot) string {
+	counts := map[string]int{}
+	order := []string{}
+	for _, dev := range hw.PCIeDevices {
+		if dev.DeviceClass == nil {
+			continue
+		}
+		if !isGPUDeviceClass(*dev.DeviceClass) {
+			continue
+		}
+		model := "Unknown GPU"
+		if dev.Model != nil && *dev.Model != "" {
+			model = *dev.Model
+		}
+		if counts[model] == 0 {
+			order = append(order, model)
+		}
+		counts[model]++
+	}
+	if len(order) == 0 {
+		return "—"
+	}
+	parts := make([]string, 0, len(order))
+	for _, m := range order {
+		if counts[m] > 1 {
+			parts = append(parts, fmt.Sprintf("%d× %s", counts[m], m))
+		} else {
+			parts = append(parts, m)
+		}
+	}
+	return strings.Join(parts, ", ")
+}
+
+// hwPSUStatus returns "OK", "CRITICAL", "WARNING", or "UNKNOWN" based on
+// PSU statuses from the audit snapshot. Used as fallback when component-status.json
+// has no psu: records yet (e.g. first boot before audit writes them).
+func hwPSUStatus(psus []schema.HardwarePowerSupply) string {
+	worst := "UNKNOWN"
+	for _, psu := range psus {
+		if psu.Status == nil {
+			continue
+		}
+		switch strings.ToUpper(strings.TrimSpace(*psu.Status)) {
+		case "CRITICAL":
+			return "CRITICAL"
+		case "WARNING":
+			if worst != "CRITICAL" {
+				worst = "WARNING"
+			}
+		case "OK":
+			if worst == "UNKNOWN" {
+				worst = "OK"
+			}
+		}
+	}
+	return worst
+}
+
+// hwDescribePSU returns a summary like "2× 1600 W" or "2× PSU".
+func hwDescribePSU(hw schema.HardwareSnapshot) string {
+	n := len(hw.PowerSupplies)
+	if n == 0 {
+		return "—"
+	}
+	// Try to get a consistent wattage
+	watt := 0
+	consistent := true
+	for _, psu := range hw.PowerSupplies {
+		if psu.WattageW == nil {
+			consistent = false
+			break
+		}
+		if watt == 0 {
+			watt = *psu.WattageW
+		} else if *psu.WattageW != watt {
+			consistent = false
+			break
+		}
+	}
+	if consistent && watt > 0 {
+		return fmt.Sprintf("%d× %d W", n, watt)
+	}
+	return fmt.Sprintf("%d× PSU", n)
+}
+
+// hwDescribeNIC returns a summary like "2× Mellanox ConnectX-6".
+func hwDescribeNIC(hw schema.HardwareSnapshot) string {
+	counts := map[string]int{}
+	order := []string{}
+	for _, dev := range hw.PCIeDevices {
+		isNIC := false
+		if dev.DeviceClass != nil {
+			c := strings.ToLower(strings.TrimSpace(*dev.DeviceClass))
+			isNIC = c == "ethernetcontroller" || c == "networkcontroller" || strings.Contains(c, "fibrechannel")
+		}
+		if !isNIC && len(dev.MacAddresses) == 0 {
+			continue
+		}
+		model := ""
+		if dev.Model != nil && *dev.Model != "" {
+			model = *dev.Model
+		} else if dev.Manufacturer != nil && *dev.Manufacturer != "" {
+			model = *dev.Manufacturer + " NIC"
+		} else {
+			model = "NIC"
+		}
+		if counts[model] == 0 {
+			order = append(order, model)
+		}
+		counts[model]++
+	}
+	if len(order) == 0 {
+		return ""
+	}
+	parts := make([]string, 0, len(order))
+	for _, m := range order {
+		if counts[m] > 1 {
+			parts = append(parts, fmt.Sprintf("%d× %s", counts[m], m))
+		} else {
+			parts = append(parts, m)
+		}
+	}
+	return strings.Join(parts, ", ")
+}
+
+func isGPUDeviceClass(class string) bool {
+	switch strings.TrimSpace(class) {
+	case "VideoController", "DisplayController", "ProcessingAccelerator":
+		return true
+	default:
+		return false
+	}
+}
+
 func renderAuditModal() string {
 	return `<div id="audit-modal-overlay" style="display:none;position:fixed;inset:0;background:rgba(0,0,0,.5);z-index:100;align-items:center;justify-content:center">
   <div style="background:#fff;border-radius:6px;padding:24px;min-width:480px;max-width:1100px;width:min(1100px,92vw);max-height:92vh;overflow:auto;position:relative">
@@ -481,8 +701,9 @@ func renderHealthCard(opts HandlerOptions) string {
 		buildRuntimeAccelerationRow(health),
 		buildRuntimeToolsRow(health),
 		buildRuntimeServicesRow(health),
+		buildRuntimeUSBExportRow(health),
+		buildRuntimeToRAMRow(health),
 	}
-	rows = append(rows, buildHardwareComponentRows(opts.ExportDir)...)
 	b.WriteString(`<table><thead><tr><th>Check</th><th>Status</th><th>Source</th><th>Issue</th></tr></thead><tbody>`)
 	for _, row := range rows {
 		b.WriteString(`<tr><td>` + html.EscapeString(row.Title) + `</td><td>` + runtimeStatusBadge(row.Status) + `</td><td>` + html.EscapeString(row.Source) + `</td><td>` + rowIssueHTML(row.Issue) + `</td></tr>`)
@@ -578,7 +799,13 @@ func buildRuntimeServicesRow(health schema.RuntimeHealth) runtimeHealthRow {
 	nonActive := make([]string, 0)
 	for _, svc := range health.Services {
 		state := strings.TrimSpace(strings.ToLower(svc.Status))
-		if state != "active" {
+		// "activating" and "deactivating" are transient states for oneshot services
+		// (RemainAfterExit=yes) — the service is running normally, not failed.
+		// Only "failed" and "inactive" (after services should be running) are problems.
+		switch state {
+		case "active", "activating", "deactivating", "reloading":
+			// OK — service is running or transitioning normally
+		default:
 			nonActive = append(nonActive, svc.Name+"="+svc.Status)
 		}
 	}
@@ -591,6 +818,51 @@ func buildRuntimeServicesRow(health schema.RuntimeHealth) runtimeHealthRow {
 	return runtimeHealthRow{Title: "Bee Services", Status: status, Source: "ServiceState", Issue: issue}
 }
 
+func buildRuntimeUSBExportRow(health schema.RuntimeHealth) runtimeHealthRow {
+	path := strings.TrimSpace(health.USBExportPath)
+	if path != "" {
+		return runtimeHealthRow{
+			Title:  "USB Export Drive",
+			Status: "OK",
+			Source: "/proc/mounts + lsblk",
+			Issue:  path,
+		}
+	}
+	return runtimeHealthRow{
+		Title:  "USB Export Drive",
+		Status: "WARNING",
+		Source: "/proc/mounts + lsblk",
+		Issue:  "No writable USB drive mounted. Plug in a USB drive to enable log export.",
+	}
+}
+
+func buildRuntimeToRAMRow(health schema.RuntimeHealth) runtimeHealthRow {
+	switch strings.ToLower(strings.TrimSpace(health.ToRAMStatus)) {
+	case "ok":
+		return runtimeHealthRow{
+			Title:  "LiveCD in RAM",
+			Status: "OK",
+			Source: "live-boot / /proc/mounts",
+			Issue:  "",
+		}
+	case "failed":
+		return runtimeHealthRow{
+			Title:  "LiveCD in RAM",
+			Status: "FAILED",
+			Source: "live-boot / /proc/mounts",
+			Issue:  "toram boot parameter set but ISO is not mounted from RAM. Copy may have failed.",
+		}
+	default:
+		// toram not active — ISO still on original boot media (USB/CD)
+		return runtimeHealthRow{
+			Title:  "LiveCD in RAM",
+			Status: "WARNING",
+			Source: "live-boot / /proc/mounts",
+			Issue:  "ISO not copied to RAM. Use \u201cCopy to RAM\u201d to free the boot drive and improve performance.",
+		}
+	}
+}
+
 func buildHardwareComponentRows(exportDir string) []runtimeHealthRow {
 	path := filepath.Join(exportDir, "component-status.json")
 	db, err := app.OpenComponentStatusDB(path)
@@ -1034,9 +1306,6 @@ func renderValidate(opts HandlerOptions) string {
 	<div class="card" style="margin-bottom:16px">
 	  <div class="card-head">Validate Profile</div>
 	  <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>
 	    <div class="validate-profile-col">
 	      <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>
@@ -1086,22 +1355,16 @@ 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>
 
 <div class="grid3">
 ` + renderSATCard("nvidia", "NVIDIA GPU", "runNvidiaValidateSet('nvidia')", "", renderValidateCardBody(
-			inv.NVIDIA,
-			`Runs NVIDIA diagnostics and board inventory checks.`,
-			`<code>nvidia-smi</code>, <code>dmidecode</code>, <code>dcgmi diag</code>`,
-			`Level 2 in Validate, Level 3 in Stress. Runs one GPU at a time on the selected NVIDIA GPUs.`,
-		)) +
+		inv.NVIDIA,
+		`Runs NVIDIA diagnostics and board inventory checks.`,
+		`<code>nvidia-smi</code>, <code>dmidecode</code>, <code>dcgmi diag</code>`,
+		`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,
@@ -1157,7 +1420,7 @@ func renderValidate(opts HandlerOptions) string {
 </div>
 <style>
 .validate-profile-body { display:grid; grid-template-columns:1fr 1fr 1fr; gap:24px; align-items:stretch; }
-.validate-profile-col { min-width:0; }
+.validate-profile-col { min-width:0; display:flex; flex-direction:column; }
 .validate-profile-action { display:flex; flex-direction:column; align-items:center; justify-content:center; }
 .validate-card-body { padding:0; }
 .validate-card-section { padding:12px 16px 0; }
@@ -1210,10 +1473,6 @@ 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;
@@ -1222,8 +1481,7 @@ function satUpdateGPUSelectionNote() {
     note.textContent = 'Select at least one NVIDIA GPU to enable NVIDIA validate tasks.';
     return;
   }
-  const multiAll = satMultiGPUAll();
-  note.textContent = 'Selected GPUs: ' + selected.join(', ') + '. Multi-GPU tests: ' + (multiAll ? 'all GPUs in system' : 'selected GPUs only') + '.';
+  note.textContent = 'Selected GPUs: ' + selected.join(', ') + '. Multi-GPU tests will use all selected GPUs.';
 }
 function satRenderGPUList(gpus) {
   const root = document.getElementById('sat-gpu-list');
@@ -1337,15 +1595,8 @@ const nvidiaPerGPUTargets = ['nvidia', 'nvidia-targeted-stress', 'nvidia-targete
 // 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);
+  // Multi-GPU tests always use the current GPU selection.
+  return Promise.resolve(satSelectedGPUIndices());
 }
 function expandSATTarget(target) {
   if (nvidiaAllGPUTargets.indexOf(target) >= 0) {
@@ -1435,11 +1686,11 @@ function runAMDValidateSet() {
   return runNext(0);
 }
 function runAllSAT() {
-  const cycles = Math.max(1, parseInt(document.getElementById('sat-cycles').value)||1);
+  const cycles = 1;
   const status = document.getElementById('sat-all-status');
   status.textContent = 'Enqueuing...';
-  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 stressOnlyTargets = ['nvidia-targeted-stress', 'nvidia-targeted-power', 'nvidia-pulse', 'nvidia-interconnect', 'nvidia-bandwidth'];
+  const baseTargets = ['nvidia','nvidia-targeted-stress','nvidia-targeted-power','nvidia-pulse','nvidia-interconnect','nvidia-bandwidth','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);
@@ -1613,6 +1864,11 @@ func formatValidateDeviceSummary(total int, models map[string]int, unit string)
 	if total != 1 {
 		label += "s"
 	}
+	// If there is only one model the leading count duplicates the per-model
+	// count already in parts (e.g. "4 GPU: 4 x RTX …" → "4 x RTX …").
+	if len(parts) == 1 {
+		return parts[0] + " " + label
+	}
 	return fmt.Sprintf("%d %s: %s", total, label, strings.Join(parts, ", "))
 }
 
@@ -1672,23 +1928,10 @@ func renderSATCard(id, label, runAction, headerActions, body string) string {
 
 // ── Benchmark ─────────────────────────────────────────────────────────────────
 
-type benchmarkHistoryColumn struct {
-	key      string
-	label    string
-	name     string
-	index    int
-	parallel bool
-}
-
-type benchmarkHistoryCell struct {
-	score   float64
-	present bool
-}
-
 type benchmarkHistoryRun struct {
 	generatedAt time.Time
 	displayTime string
-	cells       map[string]benchmarkHistoryCell
+	gpuScores   map[int]float64 // GPU index → composite score
 }
 
 func renderBenchmark(opts HandlerOptions) string {
@@ -1717,12 +1960,16 @@ func renderBenchmark(opts HandlerOptions) string {
         </div>
       </div>
       <label class="benchmark-cb-row">
-        <input type="checkbox" id="benchmark-parallel-gpus">
-        <span>Run all selected GPUs simultaneously (parallel mode)</span>
+        <input type="radio" name="benchmark-mode" value="sequential" onchange="benchmarkUpdateSelectionNote()">
+        <span>Sequential — one GPU at a time</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>
+      <label class="benchmark-cb-row" id="benchmark-parallel-label">
+        <input type="radio" name="benchmark-mode" value="parallel" onchange="benchmarkUpdateSelectionNote()">
+        <span>Parallel — all selected GPUs simultaneously</span>
+      </label>
+      <label class="benchmark-cb-row" id="benchmark-ramp-label">
+        <input type="radio" name="benchmark-mode" value="ramp-up" checked onchange="benchmarkUpdateSelectionNote()">
+        <span>Ramp-up — 1 GPU → 2 → … → all selected (separate tasks)</span>
       </label>
       <p id="benchmark-selection-note" style="font-size:12px;color:var(--muted);margin:10px 0 14px">Select one GPU for single-card benchmarking or several GPUs for a constrained multi-GPU run.</p>
       <button id="benchmark-run-btn" class="btn btn-primary" onclick="runNvidiaBenchmark()" disabled>&#9654; Run Benchmark</button>
@@ -1775,22 +2022,28 @@ function benchmarkSelectedGPUIndices() {
     .sort(function(a, b) { return a - b; });
 }
 
+function benchmarkMode() {
+  const el = document.querySelector('input[name="benchmark-mode"]:checked');
+  return el ? el.value : 'sequential';
+}
+
 function benchmarkUpdateSelectionNote() {
   const selected = benchmarkSelectedGPUIndices();
   const btn = document.getElementById('benchmark-run-btn');
   const note = document.getElementById('benchmark-selection-note');
-  const nccl = document.getElementById('benchmark-run-nccl');
   if (!selected.length) {
     btn.disabled = true;
     note.textContent = 'Select at least one NVIDIA GPU to run the benchmark.';
     return;
   }
   btn.disabled = false;
-  note.textContent = 'Selected GPUs: ' + selected.join(', ') + '.';
-  if (nccl && nccl.checked && selected.length < 2) {
-    note.textContent += ' NCCL will be skipped because fewer than 2 GPUs are selected.';
-  } else if (nccl && nccl.checked) {
-    note.textContent += ' NCCL interconnect will use only these GPUs.';
+  const mode = benchmarkMode();
+  if (mode === 'ramp-up') {
+    note.textContent = 'Ramp-up: ' + selected.length + ' tasks (1 GPU → ' + selected.length + ' GPUs). NCCL on final step.';
+  } else if (mode === 'parallel') {
+    note.textContent = 'Parallel: all ' + selected.length + ' GPU(s) simultaneously.' + (selected.length > 1 ? ' NCCL included.' : '');
+  } else {
+    note.textContent = 'Sequential: each GPU benchmarked separately.' + (selected.length > 1 ? ' NCCL included on each.' : '');
   }
 }
 
@@ -1808,6 +2061,33 @@ function benchmarkRenderGPUList(gpus) {
       + '<span><strong>GPU ' + gpu.index + '</strong> — ' + gpu.name + mem + '</span>'
       + '</label>';
   }).join('');
+  benchmarkApplyMultiGPUState(gpus.length);
+  benchmarkUpdateSelectionNote();
+}
+
+// Disable radio options that require multiple GPUs when only one is present.
+function benchmarkApplyMultiGPUState(gpuCount) {
+  var multiValues = ['parallel', 'ramp-up'];
+  var radios = document.querySelectorAll('input[name="benchmark-mode"]');
+  radios.forEach(function(el) {
+    var isMulti = multiValues.indexOf(el.value) >= 0;
+    if (gpuCount < 2 && isMulti) {
+      el.disabled = true;
+      if (el.checked) {
+        // fall back to sequential
+        var seq = document.querySelector('input[name="benchmark-mode"][value="sequential"]');
+        if (seq) seq.checked = true;
+      }
+      var label = el.closest('label');
+      if (label) label.style.opacity = '0.4';
+    } else {
+      el.disabled = false;
+      // restore default: ramp-up checked when ≥2 GPUs
+      if (gpuCount >= 2 && el.value === 'ramp-up') el.checked = true;
+      var label = el.closest('label');
+      if (label) label.style.opacity = '';
+    }
+  });
   benchmarkUpdateSelectionNote();
 }
 
@@ -1845,12 +2125,15 @@ function runNvidiaBenchmark() {
     return;
   }
   if (benchmarkES) { benchmarkES.close(); benchmarkES = null; }
-  const parallelGPUs = !!document.getElementById('benchmark-parallel-gpus').checked;
+  const mode = benchmarkMode();
+  const rampUp = mode === 'ramp-up' && selected.length > 1;
+  const parallelGPUs = mode === 'parallel';
   const body = {
     profile: document.getElementById('benchmark-profile').value || 'standard',
     gpu_indices: selected,
-    run_nccl: !!document.getElementById('benchmark-run-nccl').checked,
+    run_nccl: selected.length > 1,
     parallel_gpus: parallelGPUs,
+    ramp_up: rampUp,
     display_name: 'NVIDIA Benchmark'
   };
   document.getElementById('benchmark-output').style.display = 'block';
@@ -1905,23 +2188,22 @@ function runNvidiaBenchmark() {
   });
 }
 
-document.getElementById('benchmark-run-nccl').addEventListener('change', benchmarkUpdateSelectionNote);
 benchmarkLoadGPUs();
 </script>`
 }
 
 func renderBenchmarkResultsCard(exportDir string) string {
-	columns, runs := loadBenchmarkHistory(exportDir)
+	maxIdx, runs := loadBenchmarkHistory(exportDir)
 	return renderBenchmarkResultsCardFromRuns(
 		"Benchmark Results",
 		"Composite score by saved benchmark run and GPU.",
 		"No saved benchmark runs yet.",
-		columns,
+		maxIdx,
 		runs,
 	)
 }
 
-func renderBenchmarkResultsCardFromRuns(title, description, emptyMessage string, columns []benchmarkHistoryColumn, runs []benchmarkHistoryRun) string {
+func renderBenchmarkResultsCardFromRuns(title, description, emptyMessage string, maxGPUIndex int, runs []benchmarkHistoryRun) string {
 	if len(runs) == 0 {
 		return `<div class="card"><div class="card-head">` + html.EscapeString(title) + `</div><div class="card-body"><p style="color:var(--muted);font-size:13px">` + html.EscapeString(emptyMessage) + `</p></div></div>`
 	}
@@ -1931,22 +2213,22 @@ func renderBenchmarkResultsCardFromRuns(title, description, emptyMessage string,
 		b.WriteString(`<p style="color:var(--muted);font-size:13px;margin-bottom:12px">` + html.EscapeString(description) + `</p>`)
 	}
 	b.WriteString(`<div style="overflow-x:auto">`)
-	b.WriteString(`<table><thead><tr><th>Test</th><th>Time</th>`)
-	for _, col := range columns {
-		b.WriteString(`<th>` + html.EscapeString(col.label) + `</th>`)
+	b.WriteString(`<table><thead><tr><th>Run</th><th>Time</th>`)
+	for i := 0; i <= maxGPUIndex; i++ {
+		b.WriteString(`<th>GPU ` + strconv.Itoa(i) + `</th>`)
 	}
 	b.WriteString(`</tr></thead><tbody>`)
 	for i, run := range runs {
 		b.WriteString(`<tr>`)
 		b.WriteString(`<td>#` + strconv.Itoa(i+1) + `</td>`)
 		b.WriteString(`<td>` + html.EscapeString(run.displayTime) + `</td>`)
-		for _, col := range columns {
-			cell, ok := run.cells[col.key]
-			if !ok || !cell.present {
+		for idx := 0; idx <= maxGPUIndex; idx++ {
+			score, ok := run.gpuScores[idx]
+			if !ok {
 				b.WriteString(`<td style="color:var(--muted)">-</td>`)
 				continue
 			}
-			b.WriteString(`<td>` + fmt.Sprintf("%.2f", cell.score) + `</td>`)
+			b.WriteString(`<td>` + fmt.Sprintf("%.2f", score) + `</td>`)
 		}
 		b.WriteString(`</tr>`)
 	}
@@ -1954,22 +2236,22 @@ func renderBenchmarkResultsCardFromRuns(title, description, emptyMessage string,
 	return b.String()
 }
 
-func loadBenchmarkHistory(exportDir string) ([]benchmarkHistoryColumn, []benchmarkHistoryRun) {
+func loadBenchmarkHistory(exportDir string) (int, []benchmarkHistoryRun) {
 	baseDir := app.DefaultBenchmarkBaseDir
 	if strings.TrimSpace(exportDir) != "" {
 		baseDir = filepath.Join(exportDir, "bee-benchmark")
 	}
 	paths, err := filepath.Glob(filepath.Join(baseDir, "gpu-benchmark-*", "result.json"))
 	if err != nil || len(paths) == 0 {
-		return nil, nil
+		return -1, nil
 	}
 	sort.Strings(paths)
 	return loadBenchmarkHistoryFromPaths(paths)
 }
 
-func loadBenchmarkHistoryFromPaths(paths []string) ([]benchmarkHistoryColumn, []benchmarkHistoryRun) {
-	columnByKey := make(map[string]benchmarkHistoryColumn)
+func loadBenchmarkHistoryFromPaths(paths []string) (int, []benchmarkHistoryRun) {
 	runs := make([]benchmarkHistoryRun, 0, len(paths))
+	maxGPUIndex := -1
 	for _, path := range paths {
 		raw, err := os.ReadFile(path)
 		if err != nil {
@@ -1982,102 +2264,22 @@ func loadBenchmarkHistoryFromPaths(paths []string) ([]benchmarkHistoryColumn, []
 		run := benchmarkHistoryRun{
 			generatedAt: result.GeneratedAt,
 			displayTime: result.GeneratedAt.Local().Format("2006-01-02 15:04:05"),
-			cells:       make(map[string]benchmarkHistoryCell),
+			gpuScores:   make(map[int]float64),
 		}
-
-		if result.ParallelGPUs {
-			// All GPUs ran simultaneously — one column per server, score = avg composite.
-			gpuModelCount := make(map[string]int)
-			for _, gpu := range result.GPUs {
-				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:    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{score: gpu.Scores.CompositeScore, present: true}
+		for _, gpu := range result.GPUs {
+			run.gpuScores[gpu.Index] = gpu.Scores.CompositeScore
+			if gpu.Index > maxGPUIndex {
+				maxGPUIndex = gpu.Index
 			}
 		}
 		runs = append(runs, run)
 	}
-
-	columns := make([]benchmarkHistoryColumn, 0, len(columnByKey))
-	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 {
-		if columns[i].parallel != columns[j].parallel {
-			return !columns[i].parallel // sequential first
-		}
-		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 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)
 	})
-	return columns, runs
+	return maxGPUIndex, runs
 }
 
-// benchmarkHistoryPerGPULabel formats a label for a single-GPU column: "GPU #N — ModelName".
-func benchmarkHistoryPerGPULabel(gpuName string, index int) string {
-	gpuName = strings.TrimSpace(gpuName)
-	if gpuName == "" {
-		gpuName = "Unknown GPU"
-	}
-	return fmt.Sprintf("GPU #%d — %s", index, gpuName)
-}
-
-// benchmarkHistoryParallelLabel formats a label for an all-GPU parallel column:
-// "ServerModel — N× ModelName (All GPUs)" or "N× ModelName (All GPUs)" if no server.
-func benchmarkHistoryParallelLabel(serverModel, gpuName string, count int) string {
-	serverModel = strings.TrimSpace(serverModel)
-	gpuName = strings.TrimSpace(gpuName)
-	if gpuName == "" {
-		gpuName = "Unknown GPU"
-	}
-	gpuPart := fmt.Sprintf("%d× %s (All GPUs)", count, gpuName)
-	if serverModel == "" {
-		return gpuPart
-	}
-	return fmt.Sprintf("%s — %s", serverModel, gpuPart)
-}
 
 // ── Burn ──────────────────────────────────────────────────────────────────────
 
@@ -2121,10 +2323,20 @@ func renderBurn() string {
 	      <p style="color:var(--muted);font-size:13px">Loading NVIDIA GPUs...</p>
 	    </div>
 	    <p id="burn-selection-note" style="font-size:12px;color:var(--muted);margin:10px 0 0">Select at least one NVIDIA GPU to enable NVIDIA burn recipes.</p>
-	    <label class="cb-row" style="margin-top:10px">
-	      <input type="checkbox" id="burn-stagger-nvidia">
-	      <span>Ramp selected NVIDIA GPUs one by one before full-load hold. Uses a 3-minute stabilization window per GPU, then keeps all selected GPUs under load for the chosen Burn Profile duration.</span>
-	    </label>
+	    <div style="display:flex;flex-direction:column;gap:4px;margin-top:10px">
+	      <label class="cb-row">
+	        <input type="radio" name="burn-nvidia-mode" value="sequential" checked>
+	        <span>Sequential — selected GPUs one at a time</span>
+	      </label>
+	      <label class="cb-row" id="burn-parallel-label">
+	        <input type="radio" name="burn-nvidia-mode" value="parallel">
+	        <span>Parallel — all selected GPUs simultaneously</span>
+	      </label>
+	      <label class="cb-row" id="burn-ramp-label">
+	        <input type="radio" name="burn-nvidia-mode" value="ramp-up">
+	        <span>Ramp-up — add one GPU at a time</span>
+	      </label>
+	    </div>
 	  </div>
 	</div>
 
@@ -2200,9 +2412,30 @@ function burnSelectedGPUIndices() {
     .sort(function(a, b) { return a - b; });
 }
 
-function burnUseNvidiaRampUp() {
-  const el = document.getElementById('burn-stagger-nvidia');
-  return !!(el && el.checked);
+function burnNvidiaMode() {
+  const el = document.querySelector('input[name="burn-nvidia-mode"]:checked');
+  return el ? el.value : 'sequential';
+}
+
+function burnApplyMultiGPUState(gpuCount) {
+  var multiValues = ['parallel', 'ramp-up'];
+  var radios = document.querySelectorAll('input[name="burn-nvidia-mode"]');
+  radios.forEach(function(el) {
+    var isMulti = multiValues.indexOf(el.value) >= 0;
+    if (gpuCount < 2 && isMulti) {
+      el.disabled = true;
+      if (el.checked) {
+        var seq = document.querySelector('input[name="burn-nvidia-mode"][value="sequential"]');
+        if (seq) seq.checked = true;
+      }
+      var label = el.closest('label');
+      if (label) label.style.opacity = '0.4';
+    } else {
+      el.disabled = false;
+      var label = el.closest('label');
+      if (label) label.style.opacity = '';
+    }
+  });
 }
 
 function burnUpdateSelectionNote() {
@@ -2229,6 +2462,7 @@ function burnRenderGPUList(gpus) {
       + '<span><strong>GPU ' + gpu.index + '</strong> — ' + gpu.name + mem + '</span>'
       + '</label>';
   }).join('');
+  burnApplyMultiGPUState(gpus.length);
   burnUpdateSelectionNote();
 }
 
@@ -2264,8 +2498,11 @@ function enqueueBurnTask(target, label, extra, useSelectedNvidia) {
       return Promise.reject(new Error('Select at least one NVIDIA GPU.'));
     }
     body.gpu_indices = selected;
-    if (burnUseNvidiaRampUp() && selected.length > 1) {
+    const bMode = burnNvidiaMode();
+    if (bMode === 'ramp-up' && selected.length > 1) {
       body.stagger_gpu_start = true;
+    } else if (bMode === 'parallel' && selected.length > 1) {
+      body.parallel_gpus = true;
     }
   }
   return fetch('/api/sat/' + target + '/run', {
@@ -2858,7 +3095,6 @@ usbRefresh();
 </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">

audit/internal/webui/server_test.go

@@ -693,8 +693,8 @@ func TestBenchmarkPageRendersSavedResultsTable(t *testing.T) {
 	for _, needle := range []string{
 		`Benchmark Results`,
 		`Composite score by saved benchmark run and GPU.`,
-		`GPU #0 — NVIDIA H100 PCIe`,
-		`GPU #1 — NVIDIA H100 PCIe`,
+		`GPU 0`,
+		`GPU 1`,
 		`#1`,
 		wantTime,
 		`1176.25`,
@@ -1094,6 +1094,7 @@ func TestDashboardRendersRuntimeHealthTable(t *testing.T) {
 	}
 	body := rec.Body.String()
 	for _, needle := range []string{
+		// Runtime Health card — LiveCD checks only
 		`Runtime Health`,
 		`<th>Check</th><th>Status</th><th>Source</th><th>Issue</th>`,
 		`Export Directory`,
@@ -1102,16 +1103,18 @@ func TestDashboardRendersRuntimeHealthTable(t *testing.T) {
 		`CUDA / ROCm`,
 		`Required Utilities`,
 		`Bee Services`,
-		`<td>CPU</td>`,
-		`<td>Memory</td>`,
-		`<td>Storage</td>`,
-		`<td>GPU</td>`,
 		`CUDA runtime is not ready for GPU SAT.`,
 		`Missing: nvidia-smi`,
 		`bee-nvidia=inactive`,
-		`cpu SAT: FAILED`,
-		`storage SAT: FAILED`,
-		`sat:nvidia`,
+		// Hardware Summary card — component health badges
+		`Hardware Summary`,
+		`>CPU<`,
+		`>Memory<`,
+		`>Storage<`,
+		`>GPU<`,
+		`>PSU<`,
+		`badge-warn`,   // cpu Warning badge
+		`badge-err`,    // storage Critical badge
 	} {
 		if !strings.Contains(body, needle) {
 			t.Fatalf("dashboard missing %q: %s", needle, body)

audit/internal/webui/tasks.go

@@ -126,6 +126,9 @@ type taskParams struct {
 	BenchmarkProfile   string   `json:"benchmark_profile,omitempty"`
 	RunNCCL            bool     `json:"run_nccl,omitempty"`
 	ParallelGPUs       bool     `json:"parallel_gpus,omitempty"`
+	RampStep           int      `json:"ramp_step,omitempty"`
+	RampTotal          int      `json:"ramp_total,omitempty"`
+	RampRunID          string   `json:"ramp_run_id,omitempty"`
 	DisplayName        string   `json:"display_name,omitempty"`
 	Device             string   `json:"device,omitempty"` // for install
 	PlatformComponents []string `json:"platform_components,omitempty"`
@@ -152,6 +155,12 @@ type burnPreset struct {
 	DurationSec int
 }
 
+type nvidiaRampSpec struct {
+	DurationSec      int
+	StaggerSeconds   int
+	TotalDurationSec int
+}
+
 func resolveBurnPreset(profile string) burnPreset {
 	switch profile {
 	case "overnight":
@@ -163,11 +172,43 @@ func resolveBurnPreset(profile string) burnPreset {
 	}
 }
 
-func boolToNvidiaStaggerSeconds(enabled bool, selected []int) int {
-	if enabled && len(selected) > 1 {
-		return 180
+func resolveNvidiaRampPlan(profile string, enabled bool, selected []int) (nvidiaRampSpec, error) {
+	base := resolveBurnPreset(profile).DurationSec
+	plan := nvidiaRampSpec{
+		DurationSec:      base,
+		TotalDurationSec: base,
 	}
-	return 0
+	if !enabled {
+		return plan, nil
+	}
+	count := len(selected)
+	if count == 0 {
+		return nvidiaRampSpec{}, fmt.Errorf("staggered NVIDIA burn requires explicit GPU selection")
+	}
+	if count == 1 {
+		return plan, nil
+	}
+
+	switch profile {
+	case "acceptance":
+		plan.StaggerSeconds = 10 * 60
+		plan.TotalDurationSec = plan.DurationSec + plan.StaggerSeconds*(count-1)
+	case "overnight":
+		plan.StaggerSeconds = 60 * 60
+		plan.TotalDurationSec = 8 * 60 * 60
+		minTotal := count * 60 * 60
+		if plan.TotalDurationSec < minTotal {
+			plan.TotalDurationSec = minTotal
+		}
+		if plan.TotalDurationSec > 10*60*60 {
+			return nvidiaRampSpec{}, fmt.Errorf("overnight staggered NVIDIA burn supports at most 10 GPUs")
+		}
+		plan.DurationSec = plan.TotalDurationSec - plan.StaggerSeconds*(count-1)
+	default:
+		plan.StaggerSeconds = 2 * 60
+		plan.TotalDurationSec = plan.DurationSec + plan.StaggerSeconds*(count-1)
+	}
+	return plan, nil
 }
 
 func resolvePlatformStressPreset(profile string) platform.PlatformStressOptions {
@@ -599,8 +640,11 @@ func (q *taskQueue) runTask(t *Task, j *jobState, ctx context.Context) {
 			ExcludeGPUIndices: t.params.ExcludeGPUIndices,
 			RunNCCL:           t.params.RunNCCL,
 			ParallelGPUs:      t.params.ParallelGPUs,
+			RampStep:          t.params.RampStep,
+			RampTotal:         t.params.RampTotal,
+			RampRunID:         t.params.RampRunID,
 		}, j.append)
-		case "nvidia-compute":
+	case "nvidia-compute":
 		if a == nil {
 			err = fmt.Errorf("app not configured")
 			break
@@ -609,11 +653,18 @@ func (q *taskQueue) runTask(t *Task, j *jobState, ctx context.Context) {
 		if t.params.BurnProfile != "" && dur <= 0 {
 			dur = resolveBurnPreset(t.params.BurnProfile).DurationSec
 		}
-			staggerSec := boolToNvidiaStaggerSeconds(t.params.StaggerGPUStart, t.params.GPUIndices)
-			if staggerSec > 0 {
-				j.append(fmt.Sprintf("NVIDIA staggered ramp-up enabled: %ds per GPU", staggerSec))
-			}
-			archive, err = a.RunNvidiaOfficialComputePack(ctx, "", dur, t.params.GPUIndices, staggerSec, j.append)
+		rampPlan, planErr := resolveNvidiaRampPlan(t.params.BurnProfile, t.params.StaggerGPUStart, t.params.GPUIndices)
+		if planErr != nil {
+			err = planErr
+			break
+		}
+		if t.params.BurnProfile != "" && t.params.StaggerGPUStart && dur <= 0 {
+			dur = rampPlan.DurationSec
+		}
+		if rampPlan.StaggerSeconds > 0 {
+			j.append(fmt.Sprintf("NVIDIA staggered ramp-up enabled: %ds per GPU; post-ramp hold: %ds; total runtime: %ds", rampPlan.StaggerSeconds, dur, rampPlan.TotalDurationSec))
+		}
+		archive, err = a.RunNvidiaOfficialComputePack(ctx, "", dur, t.params.GPUIndices, rampPlan.StaggerSeconds, j.append)
 	case "nvidia-targeted-power":
 		if a == nil {
 			err = fmt.Errorf("app not configured")
@@ -663,13 +714,24 @@ func (q *taskQueue) runTask(t *Task, j *jobState, ctx context.Context) {
 		if t.params.BurnProfile != "" && dur <= 0 {
 			dur = resolveBurnPreset(t.params.BurnProfile).DurationSec
 		}
-			archive, err = runNvidiaStressPackCtx(a, ctx, "", platform.NvidiaStressOptions{
-				DurationSec:       dur,
-				Loader:            t.params.Loader,
-				GPUIndices:        t.params.GPUIndices,
-				ExcludeGPUIndices: t.params.ExcludeGPUIndices,
-				StaggerSeconds:    boolToNvidiaStaggerSeconds(t.params.StaggerGPUStart, t.params.GPUIndices),
-			}, j.append)
+		rampPlan, planErr := resolveNvidiaRampPlan(t.params.BurnProfile, t.params.StaggerGPUStart, t.params.GPUIndices)
+		if planErr != nil {
+			err = planErr
+			break
+		}
+		if t.params.BurnProfile != "" && t.params.StaggerGPUStart && dur <= 0 {
+			dur = rampPlan.DurationSec
+		}
+		if rampPlan.StaggerSeconds > 0 {
+			j.append(fmt.Sprintf("NVIDIA staggered ramp-up enabled: %ds per GPU; post-ramp hold: %ds; total runtime: %ds", rampPlan.StaggerSeconds, dur, rampPlan.TotalDurationSec))
+		}
+		archive, err = runNvidiaStressPackCtx(a, ctx, "", platform.NvidiaStressOptions{
+			DurationSec:       dur,
+			Loader:            t.params.Loader,
+			GPUIndices:        t.params.GPUIndices,
+			ExcludeGPUIndices: t.params.ExcludeGPUIndices,
+			StaggerSeconds:    rampPlan.StaggerSeconds,
+		}, j.append)
 	case "memory":
 		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.`,
-		`GPU #0 — NVIDIA H100 PCIe`,
+		`GPU 0`,
 		`1176.25`,
 	} {
 		if !strings.Contains(html, needle) {
@@ -491,6 +491,83 @@ func TestResolveBurnPreset(t *testing.T) {
 	}
 }
 
+func TestResolveNvidiaRampPlan(t *testing.T) {
+	tests := []struct {
+		name     string
+		profile  string
+		enabled  bool
+		selected []int
+		want     nvidiaRampSpec
+		wantErr  string
+	}{
+		{
+			name:     "disabled uses base preset",
+			profile:  "acceptance",
+			selected: []int{0, 1},
+			want:     nvidiaRampSpec{DurationSec: 60 * 60, TotalDurationSec: 60 * 60},
+		},
+		{
+			name:     "smoke ramp uses two minute steps",
+			profile:  "smoke",
+			enabled:  true,
+			selected: []int{0, 1, 2},
+			want:     nvidiaRampSpec{DurationSec: 5 * 60, StaggerSeconds: 2 * 60, TotalDurationSec: 9 * 60},
+		},
+		{
+			name:     "acceptance ramp uses ten minute steps",
+			profile:  "acceptance",
+			enabled:  true,
+			selected: []int{0, 1, 2},
+			want:     nvidiaRampSpec{DurationSec: 60 * 60, StaggerSeconds: 10 * 60, TotalDurationSec: 80 * 60},
+		},
+		{
+			name:     "overnight stays at eight hours when possible",
+			profile:  "overnight",
+			enabled:  true,
+			selected: []int{0, 1, 2},
+			want:     nvidiaRampSpec{DurationSec: 6 * 60 * 60, StaggerSeconds: 60 * 60, TotalDurationSec: 8 * 60 * 60},
+		},
+		{
+			name:     "overnight extends to keep one hour after final gpu",
+			profile:  "overnight",
+			enabled:  true,
+			selected: []int{0, 1, 2, 3, 4, 5, 6, 7, 8},
+			want:     nvidiaRampSpec{DurationSec: 60 * 60, StaggerSeconds: 60 * 60, TotalDurationSec: 9 * 60 * 60},
+		},
+		{
+			name:     "overnight rejects impossible gpu count",
+			profile:  "overnight",
+			enabled:  true,
+			selected: []int{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10},
+			wantErr:  "at most 10 GPUs",
+		},
+		{
+			name:    "enabled requires explicit selection",
+			profile: "smoke",
+			enabled: true,
+			wantErr: "requires explicit GPU selection",
+		},
+	}
+
+	for _, tc := range tests {
+		t.Run(tc.name, func(t *testing.T) {
+			got, err := resolveNvidiaRampPlan(tc.profile, tc.enabled, tc.selected)
+			if tc.wantErr != "" {
+				if err == nil || !strings.Contains(err.Error(), tc.wantErr) {
+					t.Fatalf("err=%v want substring %q", err, tc.wantErr)
+				}
+				return
+			}
+			if err != nil {
+				t.Fatalf("resolveNvidiaRampPlan error: %v", err)
+			}
+			if got != tc.want {
+				t.Fatalf("resolveNvidiaRampPlan(%q, %t, %v)=%+v want %+v", tc.profile, tc.enabled, tc.selected, got, tc.want)
+			}
+		})
+	}
+}
+
 func TestTaskDisplayNameUsesNvidiaStressLoader(t *testing.T) {
 	tests := []struct {
 		loader string

bible-local/docs/gpu-model-propagation.md

@@ -0,0 +1,117 @@
+# GPU Model Name Propagation
+
+How GPU model names are detected, stored, and displayed throughout the project.
+
+---
+
+## Detection Sources
+
+There are **two separate pipelines** for GPU model names — they use different structs and don't share state.
+
+### Pipeline A — Live / SAT (nvidia-smi query at runtime)
+
+**File:** `audit/internal/platform/sat.go`
+
+- `ListNvidiaGPUs()` → `NvidiaGPU.Name` (field: `name`, from `nvidia-smi --query-gpu=index,name,...`)
+- `ListNvidiaGPUStatuses()` → `NvidiaGPUStatus.Name`
+- Used by: GPU selection UI, live metrics labels, burn/stress test logic
+
+### Pipeline B — Benchmark results
+
+**File:** `audit/internal/platform/benchmark.go`, line 124
+
+- `queryBenchmarkGPUInfo(selected)` → `benchmarkGPUInfo.Name`
+- Stored in `BenchmarkGPUResult.Name` (`json:"name,omitempty"`)
+- Used by: benchmark history table, benchmark report
+
+### Pipeline C — Hardware audit JSON (PCIe schema)
+
+**File:** `audit/internal/schema/hardware.go`
+
+- `HardwarePCIeDevice.Model *string` (field name is **Model**, not Name)
+- For AMD GPUs: populated by `audit/internal/collector/amdgpu.go` from `info.Product`
+- For NVIDIA GPUs: **NOT populated** by `audit/internal/collector/nvidia.go` — the NVIDIA enricher sets telemetry/status but skips the Model field
+- Used by: hardware summary page (`hwDescribeGPU` in `pages.go:487`)
+
+---
+
+## Key Inconsistency: NVIDIA PCIe Model is Never Set
+
+`audit/internal/collector/nvidia.go` — `enrichPCIeWithNVIDIAData()` enriches NVIDIA PCIe devices with telemetry and status but does **not** populate `HardwarePCIeDevice.Model`.
+
+This means:
+- Hardware summary page shows "Unknown GPU" for all NVIDIA devices (falls back at `pages.go:486`)
+- AMD GPUs do have their model populated
+
+The fix would be: copy `gpu.Name` from the SAT pipeline into `dev.Model` inside `enrichPCIeWithNVIDIAData`.
+
+---
+
+## Benchmark History "Unknown GPU" Issue
+
+**Symptom:** Benchmark history table shows "GPU #N — Unknown GPU" columns instead of real GPU model names.
+
+**Root cause:** `BenchmarkGPUResult.Name` has tag `json:"name,omitempty"`. If `queryBenchmarkGPUInfo()` fails (warns at `benchmark.go:126`) or returns empty names, the Name field is never set and is omitted from JSON. Loaded results have empty Name → falls back to "Unknown GPU" at `pages.go:2226, 2237`.
+
+This happens for:
+- Older result files saved before the `Name` field was added
+- Runs where nvidia-smi query failed before the benchmark started
+
+---
+
+## Fallback Strings — Current State
+
+| Location | File | Fallback string |
+|---|---|---|
+| Hardware summary (PCIe) | `pages.go:486` | `"Unknown GPU"` |
+| Benchmark report summary | `benchmark_report.go:43` | `"Unknown GPU"` |
+| Benchmark report scorecard | `benchmark_report.go:93` | `"Unknown"` ← inconsistent |
+| Benchmark report detail | `benchmark_report.go:122` | `"Unknown GPU"` |
+| Benchmark history per-GPU col | `pages.go:2226` | `"Unknown GPU"` |
+| Benchmark history parallel col | `pages.go:2237` | `"Unknown GPU"` |
+| SAT status file write | `sat.go:922` | `"unknown"` ← lowercase, inconsistent |
+| GPU selection API | `api.go:163` | `"GPU N"` (no "Unknown") |
+
+**Rule:** all UI fallbacks should use `"Unknown GPU"`. The two outliers are `benchmark_report.go:93` (`"Unknown"`) and `sat.go:922` (`"unknown"`).
+
+---
+
+## GPU Selection UI
+
+**File:** `audit/internal/webui/pages.go`
+
+- Source: `GET /api/gpus` → `api.go` → `ListNvidiaGPUs()` → live nvidia-smi
+- Render: `'GPU ' + gpu.index + ' — ' + gpu.name + ' · ' + mem`
+- Fallback: `gpu.name || 'GPU ' + idx` (JS, line ~1432)
+
+This always shows the correct model because it queries nvidia-smi live. It is **not** connected to benchmark result data.
+
+---
+
+## Data Flow Summary
+
+```
+nvidia-smi (live)
+  └─ ListNvidiaGPUs() → NvidiaGPU.Name
+       ├─ GPU selection UI (always correct)
+       ├─ Live metrics labels (charts_svg.go)
+       └─ SAT/burn status file (sat.go)
+
+nvidia-smi (at benchmark start)
+  └─ queryBenchmarkGPUInfo() → benchmarkGPUInfo.Name
+       └─ BenchmarkGPUResult.Name (json:"name,omitempty")
+            ├─ Benchmark report
+            └─ Benchmark history table columns
+
+nvidia-smi / lspci (audit collection)
+  └─ HardwarePCIeDevice.Model (NVIDIA: NOT populated; AMD: populated)
+       └─ Hardware summary page hwDescribeGPU()
+```
+
+---
+
+## What Needs Fixing
+
+1. **NVIDIA PCIe Model** — `enrichPCIeWithNVIDIAData()` should set `dev.Model = &gpu.Name`
+2. **Fallback consistency** — `benchmark_report.go:93` should say `"Unknown GPU"` not `"Unknown"`; `sat.go:922` should say `"Unknown GPU"` not `"unknown"`
+3. **Old benchmark JSONs** — no fix possible for already-saved results with missing names (display-only issue)

iso/builder/bee-gpu-stress.c

@@ -1121,6 +1121,7 @@ static int run_cublaslt_stress(struct cuda_api *cuda,
                                int cc_minor,
                                int seconds,
                                int size_mb,
+                               const char *precision_filter,
                                struct stress_report *report) {
     struct cublaslt_api cublas;
     struct prepared_profile prepared[MAX_STRESS_STREAMS * MAX_CUBLAS_PROFILES];
@@ -1159,7 +1160,8 @@ static int run_cublaslt_stress(struct cuda_api *cuda,
     }
 
     for (size_t i = 0; i < sizeof(k_profiles) / sizeof(k_profiles[0]); i++) {
-        if (k_profiles[i].enabled && cc >= k_profiles[i].min_cc) {
+        if (k_profiles[i].enabled && cc >= k_profiles[i].min_cc &&
+            (precision_filter == NULL || strcmp(k_profiles[i].block_label, precision_filter) == 0)) {
             planned++;
         }
     }
@@ -1218,6 +1220,13 @@ static int run_cublaslt_stress(struct cuda_api *cuda,
                           desc->min_cc);
             continue;
         }
+        if (precision_filter != NULL && strcmp(desc->block_label, precision_filter) != 0) {
+            append_detail(report->details,
+                          sizeof(report->details),
+                          "%s=SKIPPED precision_filter\n",
+                          desc->name);
+            continue;
+        }
         for (int lane = 0; lane < stream_count; lane++) {
             CUstream stream = streams[lane];
             if (prepared_count >= (int)(sizeof(prepared) / sizeof(prepared[0]))) {
@@ -1339,6 +1348,7 @@ int main(int argc, char **argv) {
     int seconds = 5;
     int size_mb = 64;
     int device_index = 0;
+    const char *precision_filter = NULL; /* NULL = all; else block_label to match */
     for (int i = 1; i < argc; i++) {
         if ((strcmp(argv[i], "--seconds") == 0 || strcmp(argv[i], "-t") == 0) && i + 1 < argc) {
             seconds = atoi(argv[++i]);
@@ -1346,8 +1356,12 @@ int main(int argc, char **argv) {
             size_mb = atoi(argv[++i]);
         } else if ((strcmp(argv[i], "--device") == 0 || strcmp(argv[i], "-d") == 0) && i + 1 < argc) {
             device_index = atoi(argv[++i]);
+        } else if (strcmp(argv[i], "--precision") == 0 && i + 1 < argc) {
+            precision_filter = argv[++i];
         } else {
-            fprintf(stderr, "usage: %s [--seconds N] [--size-mb N] [--device N]\n", argv[0]);
+            fprintf(stderr,
+                    "usage: %s [--seconds N] [--size-mb N] [--device N] [--precision fp8|fp16|fp32|fp64|fp4]\n",
+                    argv[0]);
             return 2;
         }
     }
@@ -1407,7 +1421,7 @@ int main(int argc, char **argv) {
     int ok = 0;
 
 #if HAVE_CUBLASLT_HEADERS
-    ok = run_cublaslt_stress(&cuda, dev, name, cc_major, cc_minor, seconds, size_mb, &report);
+    ok = run_cublaslt_stress(&cuda, dev, name, cc_major, cc_minor, seconds, size_mb, precision_filter, &report);
 #endif
     if (!ok) {
         if (!run_ptx_fallback(&cuda, dev, name, cc_major, cc_minor, seconds, size_mb, &report)) {

iso/builder/config/bootloaders/grub-pc/grub.cfg

@@ -11,18 +11,18 @@ echo "  Hardware Audit LiveCD"
 echo ""
 
 menuentry "EASY-BEE" {
-    linux   @KERNEL_LIVE@ @APPEND_LIVE@ nomodeset bee.nvidia.mode=normal net.ifnames=0 biosdevname=0 mitigations=off transparent_hugepage=always numa_balancing=disable nowatchdog nosoftlockup
+    linux   @KERNEL_LIVE@ @APPEND_LIVE@ nomodeset bee.nvidia.mode=normal net.ifnames=0 biosdevname=0 mitigations=off transparent_hugepage=always numa_balancing=disable pcie_aspm=off intel_idle.max_cstate=1 processor.max_cstate=1 nowatchdog nosoftlockup
     initrd  @INITRD_LIVE@
 }
 
 submenu "EASY-BEE (advanced options) -->" {
     menuentry "EASY-BEE — GSP=off" {
-        linux   @KERNEL_LIVE@ @APPEND_LIVE@ nomodeset bee.nvidia.mode=gsp-off net.ifnames=0 biosdevname=0 mitigations=off transparent_hugepage=always numa_balancing=disable nowatchdog nosoftlockup
+        linux   @KERNEL_LIVE@ @APPEND_LIVE@ nomodeset bee.nvidia.mode=gsp-off net.ifnames=0 biosdevname=0 mitigations=off transparent_hugepage=always numa_balancing=disable pcie_aspm=off intel_idle.max_cstate=1 processor.max_cstate=1 nowatchdog nosoftlockup
         initrd  @INITRD_LIVE@
     }
 
     menuentry "EASY-BEE — KMS (no nomodeset)" {
-        linux   @KERNEL_LIVE@ @APPEND_LIVE@ bee.nvidia.mode=normal net.ifnames=0 biosdevname=0 mitigations=off transparent_hugepage=always numa_balancing=disable nowatchdog nosoftlockup
+        linux   @KERNEL_LIVE@ @APPEND_LIVE@ bee.nvidia.mode=normal net.ifnames=0 biosdevname=0 mitigations=off transparent_hugepage=always numa_balancing=disable pcie_aspm=off intel_idle.max_cstate=1 processor.max_cstate=1 nowatchdog nosoftlockup
         initrd  @INITRD_LIVE@
     }
 

iso/builder/config/bootloaders/isolinux/live.cfg.in

@@ -3,31 +3,31 @@ label live-@FLAVOUR@-normal
     menu default
     linux @LINUX@
     initrd @INITRD@
-    append @APPEND_LIVE@ bee.nvidia.mode=normal
+    append @APPEND_LIVE@ bee.nvidia.mode=normal pcie_aspm=off intel_idle.max_cstate=1 processor.max_cstate=1
 
 label live-@FLAVOUR@-kms
     menu label EASY-BEE (^graphics/KMS)
     linux @LINUX@
     initrd @INITRD@
-    append @APPEND_LIVE@ bee.display=kms bee.nvidia.mode=normal
+    append @APPEND_LIVE@ bee.display=kms bee.nvidia.mode=normal pcie_aspm=off intel_idle.max_cstate=1 processor.max_cstate=1
 
 label live-@FLAVOUR@-toram
     menu label EASY-BEE (^load to RAM)
     linux @LINUX@
     initrd @INITRD@
-    append @APPEND_LIVE@ toram bee.nvidia.mode=normal
+    append @APPEND_LIVE@ toram bee.nvidia.mode=normal pcie_aspm=off intel_idle.max_cstate=1 processor.max_cstate=1
 
 label live-@FLAVOUR@-gsp-off
     menu label EASY-BEE (^NVIDIA GSP=off)
     linux @LINUX@
     initrd @INITRD@
-    append @APPEND_LIVE@ nomodeset bee.nvidia.mode=gsp-off
+    append @APPEND_LIVE@ nomodeset bee.nvidia.mode=gsp-off pcie_aspm=off intel_idle.max_cstate=1 processor.max_cstate=1
 
 label live-@FLAVOUR@-kms-gsp-off
     menu label EASY-BEE (g^raphics/KMS, GSP=off)
     linux @LINUX@
     initrd @INITRD@
-    append @APPEND_LIVE@ bee.display=kms bee.nvidia.mode=gsp-off
+    append @APPEND_LIVE@ bee.display=kms bee.nvidia.mode=gsp-off pcie_aspm=off intel_idle.max_cstate=1 processor.max_cstate=1
 
 label live-@FLAVOUR@-failsafe
     menu label EASY-BEE (^fail-safe)

iso/builder/config/hooks/normal/9000-bee-setup.hook.chroot

@@ -25,6 +25,7 @@ ensure_bee_console_user() {
 ensure_bee_console_user
 
 # Enable common bee services
+systemctl enable bee-hpc-tuning.service
 systemctl enable bee-network.service
 systemctl enable bee-preflight.service
 systemctl enable bee-audit.service
@@ -55,6 +56,7 @@ fi
 # nogpu: no GPU services needed
 
 # Ensure scripts are executable
+chmod +x /usr/local/bin/bee-hpc-tuning  2>/dev/null || true
 chmod +x /usr/local/bin/bee-network.sh  2>/dev/null || true
 chmod +x /usr/local/bin/bee-sshsetup   2>/dev/null || true
 chmod +x /usr/local/bin/bee-smoketest  2>/dev/null || true

iso/overlay/etc/systemd/system/bee-hpc-tuning.service

@@ -0,0 +1,14 @@
+[Unit]
+Description=Bee: HPC tuning (CPU governor, C-states)
+After=local-fs.target
+Before=bee-nvidia.service bee-audit.service
+
+[Service]
+Type=oneshot
+ExecStart=/usr/local/bin/bee-log-run /appdata/bee/export/bee-hpc-tuning.log /usr/local/bin/bee-hpc-tuning
+StandardOutput=journal
+StandardError=journal
+RemainAfterExit=yes
+
+[Install]
+WantedBy=multi-user.target

iso/overlay/usr/local/bin/bee-gpu-burn

@@ -6,10 +6,11 @@ STAGGER_SECONDS=0
 SIZE_MB=0
 DEVICES=""
 EXCLUDE=""
+PRECISION=""
 WORKER="/usr/local/lib/bee/bee-gpu-burn-worker"
 
 usage() {
-    echo "usage: $0 [--seconds N] [--stagger-seconds N] [--size-mb N] [--devices 0,1] [--exclude 2,3]" >&2
+    echo "usage: $0 [--seconds N] [--stagger-seconds N] [--size-mb N] [--devices 0,1] [--exclude 2,3] [--precision fp8|fp16|fp32|fp64|fp4]" >&2
     exit 2
 }
 
@@ -30,6 +31,7 @@ while [ "$#" -gt 0 ]; do
         --size-mb|-m) [ "$#" -ge 2 ] || usage; SIZE_MB="$2"; shift 2 ;;
         --devices) [ "$#" -ge 2 ] || usage; DEVICES="$2"; shift 2 ;;
         --exclude) [ "$#" -ge 2 ] || usage; EXCLUDE="$2"; shift 2 ;;
+        --precision) [ "$#" -ge 2 ] || usage; PRECISION="$2"; shift 2 ;;
         *) usage ;;
     esac
 done
@@ -88,8 +90,10 @@ for id in $(echo "${FINAL}" | tr ',' ' '); do
     extra_sec=$(( STAGGER_SECONDS * (GPU_COUNT - gpu_pos) ))
     gpu_seconds=$(( SECONDS + extra_sec ))
     echo "starting gpu ${id} size=${gpu_size_mb}MB seconds=${gpu_seconds}"
+    precision_arg=""
+    [ -n "${PRECISION}" ] && precision_arg="--precision ${PRECISION}"
     CUDA_VISIBLE_DEVICES="${id}" \
-        "${WORKER}" --device 0 --seconds "${gpu_seconds}" --size-mb "${gpu_size_mb}" >"${log}" 2>&1 &
+        "${WORKER}" --device 0 --seconds "${gpu_seconds}" --size-mb "${gpu_size_mb}" ${precision_arg} >"${log}" 2>&1 &
     pid=$!
     WORKERS="${WORKERS} ${pid}:${id}:${log}"
     if [ "${STAGGER_SECONDS}" -gt 0 ] && [ "${gpu_pos}" -lt "${GPU_COUNT}" ]; then

iso/overlay/usr/local/bin/bee-hpc-tuning

@@ -0,0 +1,41 @@
+#!/bin/sh
+# bee-hpc-tuning — apply HPC tuning for deterministic benchmarking
+# Called by bee-hpc-tuning.service at boot.
+
+log() { echo "[bee-hpc-tuning] $*"; }
+
+# ── CPU governor ────────────────────────────────────────────────────────────
+# Set all CPU cores to performance governor via sysfs.
+# cpupower is not available; write directly to scaling_governor.
+governor_ok=0
+governor_fail=0
+for gov_path in /sys/devices/system/cpu/cpu*/cpufreq/scaling_governor; do
+    [ -f "$gov_path" ] || continue
+    if echo performance > "$gov_path" 2>/dev/null; then
+        governor_ok=$((governor_ok + 1))
+    else
+        governor_fail=$((governor_fail + 1))
+    fi
+done
+
+if [ "$governor_ok" -gt 0 ] && [ "$governor_fail" -eq 0 ]; then
+    log "CPU governor set to performance on ${governor_ok} core(s)"
+elif [ "$governor_ok" -gt 0 ]; then
+    log "WARN: CPU governor: ${governor_ok} OK, ${governor_fail} failed"
+elif [ "$governor_fail" -gt 0 ]; then
+    log "WARN: failed to set CPU governor on ${governor_fail} core(s)"
+else
+    log "WARN: no cpufreq scaling_governor paths found (C-state governor or HW-controlled)"
+fi
+
+# ── Transparent Huge Pages ───────────────────────────────────────────────────
+# Kernel cmdline sets transparent_hugepage=always at boot, but confirm and log.
+thp_path=/sys/kernel/mm/transparent_hugepage/enabled
+if [ -f "$thp_path" ]; then
+    current=$(cat "$thp_path" 2>/dev/null)
+    log "transparent_hugepage: ${current}"
+else
+    log "WARN: transparent_hugepage sysfs path not found"
+fi
+
+log "done"