Default NVIDIA ISO to open modules and add nvidia-legacy

Servers with NVIDIA compute GPUs (H100 etc.) have no display output,
so KMS blanks the console. nomodeset disables kernel modesetting and
lets the NVIDIA proprietary driver handle display via Xorg.

KMS variant moved to advanced submenu for cases where it is needed.

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

audit/internal/platform/benchmark.go

@@ -243,7 +243,7 @@ func (s *System) RunNvidiaBenchmark(ctx context.Context, baseDir string, opts Nv
 		return "", fmt.Errorf("write result.json: %w", err)
 	}
 
-	report := renderBenchmarkReport(result)
+	report := renderBenchmarkReportWithCharts(result, loadBenchmarkReportCharts(runDir, selected))
 	if err := os.WriteFile(filepath.Join(runDir, "report.txt"), []byte(report), 0644); err != nil {
 		return "", fmt.Errorf("write report.txt: %w", err)
 	}
@@ -679,7 +679,10 @@ func runBenchmarkInterconnect(ctx context.Context, verboseLog, runDir string, gp
 		"-g", strconv.Itoa(len(gpuIndices)),
 		"--iters", strconv.Itoa(maxInt(20, spec.NCCLSec/10)),
 	}
-	env := []string{"CUDA_VISIBLE_DEVICES=" + joinIndexList(gpuIndices)}
+	env := []string{
+		"CUDA_DEVICE_ORDER=PCI_BUS_ID",
+		"CUDA_VISIBLE_DEVICES=" + joinIndexList(gpuIndices),
+	}
 	logFunc(fmt.Sprintf("NCCL interconnect: gpus=%s", joinIndexList(gpuIndices)))
 	out, err := runSATCommandCtx(ctx, verboseLog, "nccl-all-reduce.log", cmd, env, logFunc)
 	_ = os.WriteFile(filepath.Join(runDir, "nccl-all-reduce.log"), out, 0644)

audit/internal/platform/benchmark_report.go

@@ -2,11 +2,25 @@ package platform
 
 import (
 	"fmt"
+	"os"
+	"path/filepath"
+	"regexp"
 	"strings"
 	"time"
 )
 
 func renderBenchmarkReport(result NvidiaBenchmarkResult) string {
+	return renderBenchmarkReportWithCharts(result, nil)
+}
+
+type benchmarkReportChart struct {
+	Title   string
+	Content string
+}
+
+var ansiEscapePattern = regexp.MustCompile(`\x1b\[[0-9;]*m`)
+
+func renderBenchmarkReportWithCharts(result NvidiaBenchmarkResult, charts []benchmarkReportChart) string {
 	var b strings.Builder
 	fmt.Fprintf(&b, "Bee NVIDIA Benchmark Report\n")
 	fmt.Fprintf(&b, "===========================\n\n")
@@ -93,6 +107,20 @@ func renderBenchmarkReport(result NvidiaBenchmarkResult) string {
 		b.WriteString("\n")
 	}
 
+	if len(charts) > 0 {
+		fmt.Fprintf(&b, "Terminal Charts\n")
+		fmt.Fprintf(&b, "---------------\n")
+		for _, chart := range charts {
+			content := strings.TrimSpace(stripANSIEscapeSequences(chart.Content))
+			if content == "" {
+				continue
+			}
+			fmt.Fprintf(&b, "%s\n", chart.Title)
+			fmt.Fprintf(&b, "%s\n", strings.Repeat("~", len(chart.Title)))
+			fmt.Fprintf(&b, "%s\n\n", content)
+		}
+	}
+
 	fmt.Fprintf(&b, "Methodology\n")
 	fmt.Fprintf(&b, "-----------\n")
 	fmt.Fprintf(&b, "- Profile %s uses standardized baseline, warmup, steady-state, interconnect, and cooldown phases.\n", result.BenchmarkProfile)
@@ -117,6 +145,36 @@ func renderBenchmarkReport(result NvidiaBenchmarkResult) string {
 	return b.String()
 }
 
+func loadBenchmarkReportCharts(runDir string, gpuIndices []int) []benchmarkReportChart {
+	phases := []struct {
+		name  string
+		label string
+	}{
+		{name: "baseline", label: "Baseline"},
+		{name: "steady", label: "Steady State"},
+		{name: "cooldown", label: "Cooldown"},
+	}
+	var charts []benchmarkReportChart
+	for _, idx := range gpuIndices {
+		for _, phase := range phases {
+			path := filepath.Join(runDir, fmt.Sprintf("gpu-%d-%s-metrics-term.txt", idx, phase.name))
+			raw, err := os.ReadFile(path)
+			if err != nil || len(raw) == 0 {
+				continue
+			}
+			charts = append(charts, benchmarkReportChart{
+				Title:   fmt.Sprintf("GPU %d %s", idx, phase.label),
+				Content: string(raw),
+			})
+		}
+	}
+	return charts
+}
+
+func stripANSIEscapeSequences(raw string) string {
+	return ansiEscapePattern.ReplaceAllString(raw, "")
+}
+
 func renderBenchmarkSummary(result NvidiaBenchmarkResult) string {
 	var b strings.Builder
 	fmt.Fprintf(&b, "run_at_utc=%s\n", result.GeneratedAt.Format(time.RFC3339))

audit/internal/platform/benchmark_test.go

@@ -145,3 +145,35 @@ func TestRenderBenchmarkReportIncludesFindingsAndScores(t *testing.T) {
 		}
 	}
 }
+
+func TestRenderBenchmarkReportIncludesTerminalChartsWithoutANSI(t *testing.T) {
+	t.Parallel()
+
+	report := renderBenchmarkReportWithCharts(NvidiaBenchmarkResult{
+		BenchmarkProfile:   NvidiaBenchmarkProfileStandard,
+		OverallStatus:      "OK",
+		SelectedGPUIndices: []int{0},
+		Normalization: BenchmarkNormalization{
+			Status: "full",
+		},
+	}, []benchmarkReportChart{
+		{
+			Title:   "GPU 0 Steady State",
+			Content: "\x1b[31mGPU 0 chart\x1b[0m\n 42┤───",
+		},
+	})
+
+	for _, needle := range []string{
+		"Terminal Charts",
+		"GPU 0 Steady State",
+		"GPU 0 chart",
+		"42┤───",
+	} {
+		if !strings.Contains(report, needle) {
+			t.Fatalf("report missing %q\n%s", needle, report)
+		}
+	}
+	if strings.Contains(report, "\x1b[31m") {
+		t.Fatalf("report should not contain ANSI escapes\n%s", report)
+	}
+}

audit/internal/platform/nvidia_stress.go

@@ -16,12 +16,12 @@ func (s *System) RunNvidiaStressPack(ctx context.Context, baseDir string, opts N
 		return "", err
 	}
 
-	return runAcceptancePackCtx(ctx, baseDir, nvidiaStressArchivePrefix(opts.Loader), []satJob{
+	return runAcceptancePackCtx(ctx, baseDir, nvidiaStressArchivePrefix(opts.Loader), withNvidiaPersistenceMode(
-		{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
+		satJob{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
-		{name: "02-nvidia-smi-list.log", cmd: []string{"nvidia-smi", "-L"}},
+		satJob{name: "02-nvidia-smi-list.log", cmd: []string{"nvidia-smi", "-L"}},
 		job,
-		{name: "04-nvidia-smi-after.log", cmd: []string{"nvidia-smi", "--query-gpu=index,name,temperature.gpu,power.draw,utilization.gpu,memory.used,memory.total", "--format=csv,noheader,nounits"}},
+		satJob{name: "04-nvidia-smi-after.log", cmd: []string{"nvidia-smi", "--query-gpu=index,name,temperature.gpu,power.draw,utilization.gpu,memory.used,memory.total", "--format=csv,noheader,nounits"}},
-	}, logFunc)
+	), logFunc)
 }
 
 func nvidiaStressArchivePrefix(loader string) string {

audit/internal/platform/sat.go

@@ -278,13 +278,13 @@ func (s *System) RunNCCLTests(ctx context.Context, baseDir string, logFunc func(
 	if gpuCount < 1 {
 		gpuCount = 1
 	}
-	return runAcceptancePackCtx(ctx, baseDir, "nccl-tests", []satJob{
+	return runAcceptancePackCtx(ctx, baseDir, "nccl-tests", withNvidiaPersistenceMode(
-		{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
+		satJob{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
-		{name: "02-all-reduce-perf.log", cmd: []string{
+		satJob{name: "02-all-reduce-perf.log", cmd: []string{
 			"all_reduce_perf", "-b", "512M", "-e", "4G", "-f", "2",
 			"-g", strconv.Itoa(gpuCount), "--iters", "20",
 		}},
-	}, logFunc)
+	), logFunc)
 }
 
 func (s *System) RunNvidiaOfficialComputePack(ctx context.Context, baseDir string, durationSec int, gpuIndices []int, logFunc func(string)) (string, error) {
@@ -296,18 +296,18 @@ func (s *System) RunNvidiaOfficialComputePack(ctx context.Context, baseDir strin
 	if err != nil {
 		return "", err
 	}
-	return runAcceptancePackCtx(ctx, baseDir, "gpu-nvidia-compute", []satJob{
+	return runAcceptancePackCtx(ctx, baseDir, "gpu-nvidia-compute", withNvidiaPersistenceMode(
-		{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
+		satJob{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
-		{name: "02-dcgmi-version.log", cmd: []string{"dcgmi", "-v"}},
+		satJob{name: "02-dcgmi-version.log", cmd: []string{"dcgmi", "-v"}},
-		{
+		satJob{
 			name:       "03-dcgmproftester.log",
 			cmd:        profCmd,
 			env:        nvidiaVisibleDevicesEnv(selected),
 			collectGPU: true,
 			gpuIndices: selected,
 		},
-		{name: "04-nvidia-smi-after.log", cmd: []string{"nvidia-smi", "--query-gpu=index,name,temperature.gpu,power.draw,utilization.gpu,memory.used,memory.total", "--format=csv,noheader,nounits"}},
+		satJob{name: "04-nvidia-smi-after.log", cmd: []string{"nvidia-smi", "--query-gpu=index,name,temperature.gpu,power.draw,utilization.gpu,memory.used,memory.total", "--format=csv,noheader,nounits"}},
-	}, logFunc)
+	), logFunc)
 }
 
 func (s *System) RunNvidiaTargetedPowerPack(ctx context.Context, baseDir string, durationSec int, gpuIndices []int, logFunc func(string)) (string, error) {
@@ -315,16 +315,16 @@ func (s *System) RunNvidiaTargetedPowerPack(ctx context.Context, baseDir string,
 	if err != nil {
 		return "", err
 	}
-	return runAcceptancePackCtx(ctx, baseDir, "gpu-nvidia-targeted-power", []satJob{
+	return runAcceptancePackCtx(ctx, baseDir, "gpu-nvidia-targeted-power", withNvidiaPersistenceMode(
-		{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
+		satJob{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
-		{
+		satJob{
 			name:       "02-dcgmi-targeted-power.log",
 			cmd:        nvidiaDCGMNamedDiagCommand("targeted_power", normalizeNvidiaBurnDuration(durationSec), selected),
 			collectGPU: true,
 			gpuIndices: selected,
 		},
-		{name: "03-nvidia-smi-after.log", cmd: []string{"nvidia-smi", "--query-gpu=index,name,temperature.gpu,power.draw,utilization.gpu,memory.used,memory.total", "--format=csv,noheader,nounits"}},
+		satJob{name: "03-nvidia-smi-after.log", cmd: []string{"nvidia-smi", "--query-gpu=index,name,temperature.gpu,power.draw,utilization.gpu,memory.used,memory.total", "--format=csv,noheader,nounits"}},
-	}, logFunc)
+	), logFunc)
 }
 
 func (s *System) RunNvidiaPulseTestPack(ctx context.Context, baseDir string, durationSec int, gpuIndices []int, logFunc func(string)) (string, error) {
@@ -332,16 +332,16 @@ func (s *System) RunNvidiaPulseTestPack(ctx context.Context, baseDir string, dur
 	if err != nil {
 		return "", err
 	}
-	return runAcceptancePackCtx(ctx, baseDir, "gpu-nvidia-pulse", []satJob{
+	return runAcceptancePackCtx(ctx, baseDir, "gpu-nvidia-pulse", withNvidiaPersistenceMode(
-		{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
+		satJob{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
-		{
+		satJob{
 			name:       "02-dcgmi-pulse-test.log",
 			cmd:        nvidiaDCGMNamedDiagCommand("pulse_test", normalizeNvidiaBurnDuration(durationSec), selected),
 			collectGPU: true,
 			gpuIndices: selected,
 		},
-		{name: "03-nvidia-smi-after.log", cmd: []string{"nvidia-smi", "--query-gpu=index,name,temperature.gpu,power.draw,utilization.gpu,memory.used,memory.total", "--format=csv,noheader,nounits"}},
+		satJob{name: "03-nvidia-smi-after.log", cmd: []string{"nvidia-smi", "--query-gpu=index,name,temperature.gpu,power.draw,utilization.gpu,memory.used,memory.total", "--format=csv,noheader,nounits"}},
-	}, logFunc)
+	), logFunc)
 }
 
 func (s *System) RunNvidiaBandwidthPack(ctx context.Context, baseDir string, gpuIndices []int, logFunc func(string)) (string, error) {
@@ -349,16 +349,16 @@ func (s *System) RunNvidiaBandwidthPack(ctx context.Context, baseDir string, gpu
 	if err != nil {
 		return "", err
 	}
-	return runAcceptancePackCtx(ctx, baseDir, "gpu-nvidia-bandwidth", []satJob{
+	return runAcceptancePackCtx(ctx, baseDir, "gpu-nvidia-bandwidth", withNvidiaPersistenceMode(
-		{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
+		satJob{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
-		{
+		satJob{
 			name:       "02-dcgmi-nvbandwidth.log",
 			cmd:        nvidiaDCGMNamedDiagCommand("nvbandwidth", 0, selected),
 			collectGPU: true,
 			gpuIndices: selected,
 		},
-		{name: "03-nvidia-smi-after.log", cmd: []string{"nvidia-smi", "--query-gpu=index,name,temperature.gpu,power.draw,utilization.gpu,memory.used,memory.total", "--format=csv,noheader,nounits"}},
+		satJob{name: "03-nvidia-smi-after.log", cmd: []string{"nvidia-smi", "--query-gpu=index,name,temperature.gpu,power.draw,utilization.gpu,memory.used,memory.total", "--format=csv,noheader,nounits"}},
-	}, logFunc)
+	), logFunc)
 }
 
 func (s *System) RunNvidiaAcceptancePack(baseDir string, logFunc func(string)) (string, error) {
@@ -389,16 +389,16 @@ func (s *System) RunNvidiaTargetedStressValidatePack(ctx context.Context, baseDi
 			logFunc(fmt.Sprintf("pre-flight: killed stale worker pid=%d name=%s", p.PID, p.Name))
 		}
 	}
-	return runAcceptancePackCtx(ctx, baseDir, "gpu-nvidia-targeted-stress", []satJob{
+	return runAcceptancePackCtx(ctx, baseDir, "gpu-nvidia-targeted-stress", withNvidiaPersistenceMode(
-		{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
+		satJob{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
-		{
+		satJob{
 			name:       "02-dcgmi-targeted-stress.log",
 			cmd:        nvidiaDCGMNamedDiagCommand("targeted_stress", normalizeNvidiaBurnDuration(durationSec), selected),
 			collectGPU: true,
 			gpuIndices: selected,
 		},
-		{name: "03-nvidia-smi-after.log", cmd: []string{"nvidia-smi", "--query-gpu=index,name,temperature.gpu,power.draw,utilization.gpu,memory.used,memory.total", "--format=csv,noheader,nounits"}},
+		satJob{name: "03-nvidia-smi-after.log", cmd: []string{"nvidia-smi", "--query-gpu=index,name,temperature.gpu,power.draw,utilization.gpu,memory.used,memory.total", "--format=csv,noheader,nounits"}},
-	}, logFunc)
+	), logFunc)
 }
 
 func resolveDCGMGPUIndices(gpuIndices []int) ([]int, error) {
@@ -568,14 +568,24 @@ type satStats struct {
 	Unsupported int
 }
 
+func withNvidiaPersistenceMode(jobs ...satJob) []satJob {
+	out := make([]satJob, 0, len(jobs)+1)
+	out = append(out, satJob{
+		name: "00-nvidia-smi-persistence-mode.log",
+		cmd:  []string{"nvidia-smi", "-pm", "1"},
+	})
+	out = append(out, jobs...)
+	return out
+}
+
 func nvidiaSATJobs() []satJob {
-	return []satJob{
+	return withNvidiaPersistenceMode(
-		{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
+		satJob{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
-		{name: "02-dmidecode-baseboard.log", cmd: []string{"dmidecode", "-t", "baseboard"}},
+		satJob{name: "02-dmidecode-baseboard.log", cmd: []string{"dmidecode", "-t", "baseboard"}},
-		{name: "03-dmidecode-system.log", cmd: []string{"dmidecode", "-t", "system"}},
+		satJob{name: "03-dmidecode-system.log", cmd: []string{"dmidecode", "-t", "system"}},
-		{name: "04-nvidia-bug-report.log", cmd: []string{"nvidia-bug-report.sh", "--output-file", "{{run_dir}}/nvidia-bug-report.log"}},
+		satJob{name: "04-nvidia-bug-report.log", cmd: []string{"nvidia-bug-report.sh", "--output-file", "{{run_dir}}/nvidia-bug-report.log"}},
-		{name: "05-bee-gpu-burn.log", cmd: []string{"bee-gpu-burn", "--seconds", "5", "--size-mb", "64"}},
+		satJob{name: "05-bee-gpu-burn.log", cmd: []string{"bee-gpu-burn", "--seconds", "5", "--size-mb", "64"}},
-	}
+	)
 }
 
 func nvidiaDCGMJobs(diagLevel int, gpuIndices []int) []satJob {
@@ -590,12 +600,12 @@ func nvidiaDCGMJobs(diagLevel int, gpuIndices []int) []satJob {
 		}
 		diagArgs = append(diagArgs, "-i", strings.Join(ids, ","))
 	}
-	return []satJob{
+	return withNvidiaPersistenceMode(
-		{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
+		satJob{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
-		{name: "02-dmidecode-baseboard.log", cmd: []string{"dmidecode", "-t", "baseboard"}},
+		satJob{name: "02-dmidecode-baseboard.log", cmd: []string{"dmidecode", "-t", "baseboard"}},
-		{name: "03-dmidecode-system.log", cmd: []string{"dmidecode", "-t", "system"}},
+		satJob{name: "03-dmidecode-system.log", cmd: []string{"dmidecode", "-t", "system"}},
-		{name: "04-dcgmi-diag.log", cmd: diagArgs},
+		satJob{name: "04-dcgmi-diag.log", cmd: diagArgs},
-	}
+	)
 }
 
 func nvidiaDCGMNamedDiagCommand(name string, durationSec int, gpuIndices []int) []string {
@@ -620,7 +630,10 @@ func nvidiaVisibleDevicesEnv(gpuIndices []int) []string {
 	if len(gpuIndices) == 0 {
 		return nil
 	}
-	return []string{"CUDA_VISIBLE_DEVICES=" + joinIndexList(gpuIndices)}
+	return []string{
+		"CUDA_DEVICE_ORDER=PCI_BUS_ID",
+		"CUDA_VISIBLE_DEVICES=" + joinIndexList(gpuIndices),
+	}
 }
 
 func runAcceptancePackCtx(ctx context.Context, baseDir, prefix string, jobs []satJob, logFunc func(string)) (string, error) {
@@ -661,6 +674,9 @@ func runAcceptancePackCtx(ctx context.Context, baseDir, prefix string, jobs []sa
 		if writeErr := os.WriteFile(filepath.Join(runDir, job.name), out, 0644); writeErr != nil {
 			return "", writeErr
 		}
+		if ctx.Err() != nil {
+			return "", ctx.Err()
+		}
 		status, rc := classifySATResult(job.name, out, err)
 		stats.Add(status)
 		key := strings.TrimSuffix(strings.TrimPrefix(job.name, "0"), ".log")

audit/internal/platform/sat_test.go

@@ -1,12 +1,14 @@
 package platform
 
 import (
+	"context"
 	"errors"
 	"os"
 	"os/exec"
 	"path/filepath"
 	"strings"
 	"testing"
+	"time"
 )
 
 func TestStorageSATCommands(t *testing.T) {
@@ -28,13 +30,19 @@ func TestRunNvidiaAcceptancePackIncludesGPUStress(t *testing.T) {
 
 	jobs := nvidiaSATJobs()
 
-	if len(jobs) != 5 {
+	if len(jobs) != 6 {
-		t.Fatalf("jobs=%d want 5", len(jobs))
+		t.Fatalf("jobs=%d want 6", len(jobs))
 	}
-	if got := jobs[4].cmd[0]; got != "bee-gpu-burn" {
+	if got := jobs[0].cmd[0]; got != "nvidia-smi" {
+		t.Fatalf("preflight command=%q want nvidia-smi", got)
+	}
+	if got := strings.Join(jobs[0].cmd, " "); got != "nvidia-smi -pm 1" {
+		t.Fatalf("preflight=%q want %q", got, "nvidia-smi -pm 1")
+	}
+	if got := jobs[5].cmd[0]; got != "bee-gpu-burn" {
 		t.Fatalf("gpu stress command=%q want bee-gpu-burn", got)
 	}
-	if got := jobs[3].cmd[1]; got != "--output-file" {
+	if got := jobs[4].cmd[1]; got != "--output-file" {
 		t.Fatalf("bug report flag=%q want --output-file", got)
 	}
 }
@@ -82,7 +90,7 @@ func TestAMDStressJobsIncludeBandwidthAndGST(t *testing.T) {
 
 func TestNvidiaSATJobsUseBuiltinBurnDefaults(t *testing.T) {
 	jobs := nvidiaSATJobs()
-	got := jobs[4].cmd
+	got := jobs[5].cmd
 	want := []string{"bee-gpu-burn", "--seconds", "5", "--size-mb", "64"}
 	if len(got) != len(want) {
 		t.Fatalf("cmd len=%d want %d", len(got), len(want))
@@ -94,6 +102,19 @@ func TestNvidiaSATJobsUseBuiltinBurnDefaults(t *testing.T) {
 	}
 }
 
+func TestNvidiaDCGMJobsEnablePersistenceModeBeforeDiag(t *testing.T) {
+	jobs := nvidiaDCGMJobs(3, []int{2, 0})
+	if len(jobs) != 5 {
+		t.Fatalf("jobs=%d want 5", len(jobs))
+	}
+	if got := strings.Join(jobs[0].cmd, " "); got != "nvidia-smi -pm 1" {
+		t.Fatalf("preflight=%q want %q", got, "nvidia-smi -pm 1")
+	}
+	if got := strings.Join(jobs[4].cmd, " "); got != "dcgmi diag -r 3 -i 2,0" {
+		t.Fatalf("diag=%q want %q", got, "dcgmi diag -r 3 -i 2,0")
+	}
+}
+
 func TestBuildNvidiaStressJobUsesSelectedLoaderAndDevices(t *testing.T) {
 	t.Parallel()
 
@@ -234,11 +255,14 @@ func TestNvidiaDCGMNamedDiagCommandUsesDurationAndSelection(t *testing.T) {
 
 func TestNvidiaVisibleDevicesEnvUsesSelectedGPUs(t *testing.T) {
 	env := nvidiaVisibleDevicesEnv([]int{0, 2, 4})
-	if len(env) != 1 {
+	if len(env) != 2 {
-		t.Fatalf("env len=%d want 1 (%v)", len(env), env)
+		t.Fatalf("env len=%d want 2 (%v)", len(env), env)
 	}
-	if env[0] != "CUDA_VISIBLE_DEVICES=0,2,4" {
+	if env[0] != "CUDA_DEVICE_ORDER=PCI_BUS_ID" {
-		t.Fatalf("env[0]=%q want CUDA_VISIBLE_DEVICES=0,2,4", env[0])
+		t.Fatalf("env[0]=%q want CUDA_DEVICE_ORDER=PCI_BUS_ID", env[0])
+	}
+	if env[1] != "CUDA_VISIBLE_DEVICES=0,2,4" {
+		t.Fatalf("env[1]=%q want CUDA_VISIBLE_DEVICES=0,2,4", env[1])
 	}
 }
 
@@ -331,6 +355,38 @@ func TestClassifySATResult(t *testing.T) {
 	}
 }
 
+func TestRunAcceptancePackCtxReturnsContextErrorWithoutArchive(t *testing.T) {
+	dir := t.TempDir()
+	ctx, cancel := context.WithCancel(context.Background())
+	t.Cleanup(cancel)
+
+	done := make(chan struct{})
+	go func() {
+		time.Sleep(100 * time.Millisecond)
+		cancel()
+		close(done)
+	}()
+
+	archive, err := runAcceptancePackCtx(ctx, dir, "cancelled-pack", []satJob{
+		{name: "01-sleep.log", cmd: []string{"sh", "-c", "sleep 5"}},
+	}, nil)
+	<-done
+
+	if !errors.Is(err, context.Canceled) {
+		t.Fatalf("err=%v want context.Canceled", err)
+	}
+	if archive != "" {
+		t.Fatalf("archive=%q want empty", archive)
+	}
+	matches, globErr := filepath.Glob(filepath.Join(dir, "cancelled-pack-*.tar.gz"))
+	if globErr != nil {
+		t.Fatalf("Glob error: %v", globErr)
+	}
+	if len(matches) != 0 {
+		t.Fatalf("archives=%v want none", matches)
+	}
+}
+
 func TestParseStorageDevicesSkipsUSBDisks(t *testing.T) {
 	t.Parallel()
 

audit/internal/webui/api.go

@@ -11,6 +11,7 @@ import (
 	"os/exec"
 	"path/filepath"
 	"regexp"
+	"sort"
 	"strings"
 	"sync/atomic"
 	"syscall"
@@ -21,13 +22,238 @@ import (
 )
 
 var ansiEscapeRE = regexp.MustCompile(`\x1b\[[0-9;]*[a-zA-Z]|\x1b[()][A-Z0-9]|\x1b[DABC]`)
+var apiListNvidiaGPUs = func(a *app.App) ([]platform.NvidiaGPU, error) {
+	if a == nil {
+		return nil, fmt.Errorf("app not configured")
+	}
+	return a.ListNvidiaGPUs()
+}
 
 // ── Job ID counter ────────────────────────────────────────────────────────────
 
 var jobCounter atomic.Uint64
 
-func newJobID(prefix string) string {
+func newJobID(_ string) string {
-	return fmt.Sprintf("%s-%d", prefix, jobCounter.Add(1))
+	start := int((jobCounter.Add(1) - 1) % 1000)
+	globalQueue.mu.Lock()
+	defer globalQueue.mu.Unlock()
+	for offset := 0; offset < 1000; offset++ {
+		n := (start + offset) % 1000
+		id := fmt.Sprintf("TASK-%03d", n)
+		if !taskIDInUseLocked(id) {
+			return id
+		}
+	}
+	return fmt.Sprintf("TASK-%03d", start)
+}
+
+func taskIDInUseLocked(id string) bool {
+	for _, t := range globalQueue.tasks {
+		if t != nil && t.ID == id {
+			return true
+		}
+	}
+	return false
+}
+
+type taskRunResponse struct {
+	TaskID    string   `json:"task_id,omitempty"`
+	JobID     string   `json:"job_id,omitempty"`
+	TaskIDs   []string `json:"task_ids,omitempty"`
+	JobIDs    []string `json:"job_ids,omitempty"`
+	TaskCount int      `json:"task_count,omitempty"`
+}
+
+type nvidiaTaskSelection struct {
+	GPUIndices []int
+	Label      string
+}
+
+func writeTaskRunResponse(w http.ResponseWriter, tasks []*Task) {
+	if len(tasks) == 0 {
+		writeJSON(w, taskRunResponse{})
+		return
+	}
+	ids := make([]string, 0, len(tasks))
+	for _, t := range tasks {
+		if t == nil || strings.TrimSpace(t.ID) == "" {
+			continue
+		}
+		ids = append(ids, t.ID)
+	}
+	resp := taskRunResponse{TaskCount: len(ids)}
+	if len(ids) > 0 {
+		resp.TaskID = ids[0]
+		resp.JobID = ids[0]
+		resp.TaskIDs = ids
+		resp.JobIDs = ids
+	}
+	writeJSON(w, resp)
+}
+
+func shouldSplitHomogeneousNvidiaTarget(target string) bool {
+	switch strings.TrimSpace(target) {
+	case "nvidia", "nvidia-targeted-stress", "nvidia-benchmark", "nvidia-compute",
+		"nvidia-targeted-power", "nvidia-pulse", "nvidia-interconnect",
+		"nvidia-bandwidth", "nvidia-stress":
+		return true
+	default:
+		return false
+	}
+}
+
+func expandHomogeneousNvidiaSelections(gpus []platform.NvidiaGPU, include, exclude []int) ([]nvidiaTaskSelection, error) {
+	if len(gpus) == 0 {
+		return nil, fmt.Errorf("no NVIDIA GPUs detected")
+	}
+	indexed := make(map[int]platform.NvidiaGPU, len(gpus))
+	allIndices := make([]int, 0, len(gpus))
+	for _, gpu := range gpus {
+		indexed[gpu.Index] = gpu
+		allIndices = append(allIndices, gpu.Index)
+	}
+	sort.Ints(allIndices)
+
+	selected := allIndices
+	if len(include) > 0 {
+		selected = make([]int, 0, len(include))
+		seen := make(map[int]struct{}, len(include))
+		for _, idx := range include {
+			if _, ok := indexed[idx]; !ok {
+				continue
+			}
+			if _, dup := seen[idx]; dup {
+				continue
+			}
+			seen[idx] = struct{}{}
+			selected = append(selected, idx)
+		}
+		sort.Ints(selected)
+	}
+	if len(exclude) > 0 {
+		skip := make(map[int]struct{}, len(exclude))
+		for _, idx := range exclude {
+			skip[idx] = struct{}{}
+		}
+		filtered := selected[:0]
+		for _, idx := range selected {
+			if _, ok := skip[idx]; ok {
+				continue
+			}
+			filtered = append(filtered, idx)
+		}
+		selected = filtered
+	}
+	if len(selected) == 0 {
+		return nil, fmt.Errorf("no NVIDIA GPUs selected")
+	}
+
+	modelGroups := make(map[string][]platform.NvidiaGPU)
+	modelOrder := make([]string, 0)
+	for _, idx := range selected {
+		gpu := indexed[idx]
+		model := strings.TrimSpace(gpu.Name)
+		if model == "" {
+			model = fmt.Sprintf("GPU %d", gpu.Index)
+		}
+		if _, ok := modelGroups[model]; !ok {
+			modelOrder = append(modelOrder, model)
+		}
+		modelGroups[model] = append(modelGroups[model], gpu)
+	}
+	sort.Slice(modelOrder, func(i, j int) bool {
+		left := modelGroups[modelOrder[i]]
+		right := modelGroups[modelOrder[j]]
+		if len(left) == 0 || len(right) == 0 {
+			return modelOrder[i] < modelOrder[j]
+		}
+		return left[0].Index < right[0].Index
+	})
+
+	var groups []nvidiaTaskSelection
+	var singles []nvidiaTaskSelection
+	for _, model := range modelOrder {
+		group := modelGroups[model]
+		sort.Slice(group, func(i, j int) bool { return group[i].Index < group[j].Index })
+		indices := make([]int, 0, len(group))
+		for _, gpu := range group {
+			indices = append(indices, gpu.Index)
+		}
+		if len(indices) >= 2 {
+			groups = append(groups, nvidiaTaskSelection{
+				GPUIndices: indices,
+				Label:      fmt.Sprintf("%s; GPUs %s", model, joinTaskIndices(indices)),
+			})
+			continue
+		}
+		gpu := group[0]
+		singles = append(singles, nvidiaTaskSelection{
+			GPUIndices: []int{gpu.Index},
+			Label:      fmt.Sprintf("GPU %d — %s", gpu.Index, model),
+		})
+	}
+	return append(groups, singles...), nil
+}
+
+func joinTaskIndices(indices []int) string {
+	parts := make([]string, 0, len(indices))
+	for _, idx := range indices {
+		parts = append(parts, fmt.Sprintf("%d", idx))
+	}
+	return strings.Join(parts, ",")
+}
+
+func formatSplitTaskName(baseName, selectionLabel string) string {
+	baseName = strings.TrimSpace(baseName)
+	selectionLabel = strings.TrimSpace(selectionLabel)
+	if baseName == "" {
+		return selectionLabel
+	}
+	if selectionLabel == "" {
+		return baseName
+	}
+	return baseName + " (" + selectionLabel + ")"
+}
+
+func buildNvidiaTaskSet(target string, priority int, createdAt time.Time, params taskParams, baseName string, appRef *app.App, idPrefix string) ([]*Task, error) {
+	if !shouldSplitHomogeneousNvidiaTarget(target) {
+		t := &Task{
+			ID:        newJobID(idPrefix),
+			Name:      baseName,
+			Target:    target,
+			Priority:  priority,
+			Status:    TaskPending,
+			CreatedAt: createdAt,
+			params:    params,
+		}
+		return []*Task{t}, nil
+	}
+	gpus, err := apiListNvidiaGPUs(appRef)
+	if err != nil {
+		return nil, err
+	}
+	selections, err := expandHomogeneousNvidiaSelections(gpus, params.GPUIndices, params.ExcludeGPUIndices)
+	if err != nil {
+		return nil, err
+	}
+	tasks := make([]*Task, 0, len(selections))
+	for _, selection := range selections {
+		taskParamsCopy := params
+		taskParamsCopy.GPUIndices = append([]int(nil), selection.GPUIndices...)
+		taskParamsCopy.ExcludeGPUIndices = nil
+		displayName := formatSplitTaskName(baseName, selection.Label)
+		taskParamsCopy.DisplayName = displayName
+		tasks = append(tasks, &Task{
+			ID:        newJobID(idPrefix),
+			Name:      displayName,
+			Target:    target,
+			Priority:  priority,
+			Status:    TaskPending,
+			CreatedAt: createdAt,
+			params:    taskParamsCopy,
+		})
+	}
+	return tasks, nil
 }
 
 // ── SSE helpers ───────────────────────────────────────────────────────────────
@@ -207,28 +433,28 @@ func (h *handler) handleAPISATRun(target string) http.HandlerFunc {
 		}
 
 		name := taskDisplayName(target, body.Profile, body.Loader)
-		t := &Task{
-			ID:        newJobID("sat-" + target),
-			Name:      name,
-			Target:    target,
-			Status:    TaskPending,
-			CreatedAt: time.Now(),
-			params: taskParams{
-				Duration:           body.Duration,
-				DiagLevel:          body.DiagLevel,
-				GPUIndices:         body.GPUIndices,
-				ExcludeGPUIndices:  body.ExcludeGPUIndices,
-				Loader:             body.Loader,
-				BurnProfile:        body.Profile,
-				DisplayName:        body.DisplayName,
-				PlatformComponents: body.PlatformComponents,
-			},
-		}
 		if strings.TrimSpace(body.DisplayName) != "" {
-			t.Name = body.DisplayName
+			name = body.DisplayName
 		}
-		globalQueue.enqueue(t)
+		params := taskParams{
-		writeJSON(w, map[string]string{"task_id": t.ID, "job_id": t.ID})
+			Duration:           body.Duration,
+			DiagLevel:          body.DiagLevel,
+			GPUIndices:         body.GPUIndices,
+			ExcludeGPUIndices:  body.ExcludeGPUIndices,
+			Loader:             body.Loader,
+			BurnProfile:        body.Profile,
+			DisplayName:        body.DisplayName,
+			PlatformComponents: body.PlatformComponents,
+		}
+		tasks, err := buildNvidiaTaskSet(target, 0, time.Now(), params, name, h.opts.App, "sat-"+target)
+		if err != nil {
+			writeError(w, http.StatusBadRequest, err.Error())
+			return
+		}
+		for _, t := range tasks {
+			globalQueue.enqueue(t)
+		}
+		writeTaskRunResponse(w, tasks)
 	}
 }
 
@@ -257,27 +483,26 @@ func (h *handler) handleAPIBenchmarkNvidiaRun(w http.ResponseWriter, r *http.Req
 	if body.RunNCCL != nil {
 		runNCCL = *body.RunNCCL
 	}
-	t := &Task{
+	name := taskDisplayName("nvidia-benchmark", "", "")
-		ID:        newJobID("benchmark-nvidia"),
-		Name:      taskDisplayName("nvidia-benchmark", "", ""),
-		Target:    "nvidia-benchmark",
-		Priority:  15,
-		Status:    TaskPending,
-		CreatedAt: time.Now(),
-		params: taskParams{
-			GPUIndices:        body.GPUIndices,
-			ExcludeGPUIndices: body.ExcludeGPUIndices,
-			SizeMB:            body.SizeMB,
-			BenchmarkProfile:  body.Profile,
-			RunNCCL:           runNCCL,
-			DisplayName:       body.DisplayName,
-		},
-	}
 	if strings.TrimSpace(body.DisplayName) != "" {
-		t.Name = body.DisplayName
+		name = body.DisplayName
 	}
-	globalQueue.enqueue(t)
+	tasks, err := buildNvidiaTaskSet("nvidia-benchmark", 15, time.Now(), taskParams{
-	writeJSON(w, map[string]string{"task_id": t.ID, "job_id": t.ID})
+		GPUIndices:        body.GPUIndices,
+		ExcludeGPUIndices: body.ExcludeGPUIndices,
+		SizeMB:            body.SizeMB,
+		BenchmarkProfile:  body.Profile,
+		RunNCCL:           runNCCL,
+		DisplayName:       body.DisplayName,
+	}, name, h.opts.App, "benchmark-nvidia")
+	if err != nil {
+		writeError(w, http.StatusBadRequest, err.Error())
+		return
+	}
+	for _, t := range tasks {
+		globalQueue.enqueue(t)
+	}
+	writeTaskRunResponse(w, tasks)
 }
 
 func (h *handler) handleAPISATStream(w http.ResponseWriter, r *http.Request) {

audit/internal/webui/api_test.go

@@ -1,6 +1,7 @@
 package webui
 
 import (
+	"encoding/json"
 	"net/http/httptest"
 	"strings"
 	"testing"
@@ -74,6 +75,14 @@ func TestHandleAPIBenchmarkNvidiaRunQueuesSelectedGPUs(t *testing.T) {
 		globalQueue.tasks = originalTasks
 		globalQueue.mu.Unlock()
 	})
+	prevList := apiListNvidiaGPUs
+	apiListNvidiaGPUs = func(_ *app.App) ([]platform.NvidiaGPU, error) {
+		return []platform.NvidiaGPU{
+			{Index: 1, Name: "NVIDIA H100 PCIe"},
+			{Index: 3, Name: "NVIDIA H100 PCIe"},
+		}, nil
+	}
+	t.Cleanup(func() { apiListNvidiaGPUs = prevList })
 
 	h := &handler{opts: HandlerOptions{App: &app.App{}}}
 	req := httptest.NewRequest("POST", "/api/benchmark/nvidia/run", strings.NewReader(`{"profile":"standard","gpu_indices":[1,3],"run_nccl":false}`))
@@ -101,6 +110,97 @@ func TestHandleAPIBenchmarkNvidiaRunQueuesSelectedGPUs(t *testing.T) {
 	}
 }
 
+func TestHandleAPIBenchmarkNvidiaRunSplitsMixedGPUModels(t *testing.T) {
+	globalQueue.mu.Lock()
+	originalTasks := globalQueue.tasks
+	globalQueue.tasks = nil
+	globalQueue.mu.Unlock()
+	t.Cleanup(func() {
+		globalQueue.mu.Lock()
+		globalQueue.tasks = originalTasks
+		globalQueue.mu.Unlock()
+	})
+	prevList := apiListNvidiaGPUs
+	apiListNvidiaGPUs = func(_ *app.App) ([]platform.NvidiaGPU, error) {
+		return []platform.NvidiaGPU{
+			{Index: 0, Name: "NVIDIA H100 PCIe"},
+			{Index: 1, Name: "NVIDIA H100 PCIe"},
+			{Index: 2, Name: "NVIDIA H200 NVL"},
+		}, nil
+	}
+	t.Cleanup(func() { apiListNvidiaGPUs = prevList })
+
+	h := &handler{opts: HandlerOptions{App: &app.App{}}}
+	req := httptest.NewRequest("POST", "/api/benchmark/nvidia/run", strings.NewReader(`{"profile":"standard","gpu_indices":[0,1,2],"run_nccl":false}`))
+	rec := httptest.NewRecorder()
+
+	h.handleAPIBenchmarkNvidiaRun(rec, req)
+
+	if rec.Code != 200 {
+		t.Fatalf("status=%d body=%s", rec.Code, rec.Body.String())
+	}
+	var resp taskRunResponse
+	if err := json.Unmarshal(rec.Body.Bytes(), &resp); err != nil {
+		t.Fatalf("decode response: %v", err)
+	}
+	if len(resp.TaskIDs) != 2 {
+		t.Fatalf("task_ids=%v want 2 items", resp.TaskIDs)
+	}
+	globalQueue.mu.Lock()
+	defer globalQueue.mu.Unlock()
+	if len(globalQueue.tasks) != 2 {
+		t.Fatalf("tasks=%d want 2", len(globalQueue.tasks))
+	}
+	if got := globalQueue.tasks[0].params.GPUIndices; len(got) != 2 || got[0] != 0 || got[1] != 1 {
+		t.Fatalf("task[0] gpu indices=%v want [0 1]", got)
+	}
+	if got := globalQueue.tasks[1].params.GPUIndices; len(got) != 1 || got[0] != 2 {
+		t.Fatalf("task[1] gpu indices=%v want [2]", got)
+	}
+}
+
+func TestHandleAPISATRunSplitsMixedNvidiaTaskSet(t *testing.T) {
+	globalQueue.mu.Lock()
+	originalTasks := globalQueue.tasks
+	globalQueue.tasks = nil
+	globalQueue.mu.Unlock()
+	t.Cleanup(func() {
+		globalQueue.mu.Lock()
+		globalQueue.tasks = originalTasks
+		globalQueue.mu.Unlock()
+	})
+	prevList := apiListNvidiaGPUs
+	apiListNvidiaGPUs = func(_ *app.App) ([]platform.NvidiaGPU, error) {
+		return []platform.NvidiaGPU{
+			{Index: 0, Name: "NVIDIA H100 PCIe"},
+			{Index: 1, Name: "NVIDIA H100 PCIe"},
+			{Index: 2, Name: "NVIDIA H200 NVL"},
+		}, nil
+	}
+	t.Cleanup(func() { apiListNvidiaGPUs = prevList })
+
+	h := &handler{opts: HandlerOptions{App: &app.App{}}}
+	req := httptest.NewRequest("POST", "/api/sat/nvidia-targeted-power/run", strings.NewReader(`{"profile":"acceptance","gpu_indices":[0,1,2]}`))
+	rec := httptest.NewRecorder()
+
+	h.handleAPISATRun("nvidia-targeted-power").ServeHTTP(rec, req)
+
+	if rec.Code != 200 {
+		t.Fatalf("status=%d body=%s", rec.Code, rec.Body.String())
+	}
+	globalQueue.mu.Lock()
+	defer globalQueue.mu.Unlock()
+	if len(globalQueue.tasks) != 2 {
+		t.Fatalf("tasks=%d want 2", len(globalQueue.tasks))
+	}
+	if got := globalQueue.tasks[0].params.GPUIndices; len(got) != 2 || got[0] != 0 || got[1] != 1 {
+		t.Fatalf("task[0] gpu indices=%v want [0 1]", got)
+	}
+	if got := globalQueue.tasks[1].params.GPUIndices; len(got) != 1 || got[0] != 2 {
+		t.Fatalf("task[1] gpu indices=%v want [2]", got)
+	}
+}
+
 func TestPushFanRingsTracksByNameAndCarriesForwardMissingSamples(t *testing.T) {
 	h := &handler{}
 	h.pushFanRings([]platform.FanReading{

audit/internal/webui/pages.go

@@ -8,9 +8,12 @@ import (
 	"os"
 	"path/filepath"
 	"sort"
+	"strconv"
 	"strings"
+	"time"
 
 	"bee/audit/internal/app"
+	"bee/audit/internal/platform"
 	"bee/audit/internal/schema"
 )
 
@@ -161,7 +164,7 @@ func renderPage(page string, opts HandlerOptions) string {
 	case "benchmark":
 		pageID = "benchmark"
 		title = "Benchmark"
-		body = renderBenchmark()
+		body = renderBenchmark(opts)
 	case "tasks":
 		pageID = "tasks"
 		title = "Tasks"
@@ -1068,17 +1071,23 @@ func renderValidate(opts HandlerOptions) string {
 		`</div>
 <div style="height:1px;background:var(--border);margin:16px 0"></div>
 <div class="grid3">
-` + renderSATCard("nvidia", "NVIDIA GPU", "runNvidiaValidateSet('nvidia')", "", renderValidateCardBody(
+` + renderSATCard("nvidia-selection", "NVIDIA GPU Selection", "", "", renderValidateCardBody(
 		inv.NVIDIA,
-		`Runs NVIDIA diagnostics and board inventory checks.`,
+		`Select which NVIDIA GPUs to include in Validate. The same selection is used by both NVIDIA GPU cards below and by Validate one by one.`,
-		`<code>nvidia-smi</code>, <code>dmidecode</code>, <code>dcgmi diag</code>`,
+		`<code>nvidia-smi --query-gpu=index,name,memory.total</code>`,
-		`Runs one GPU at a time. Diag level is taken from Validate Profile.`,
+		`<div id="sat-gpu-list"><p style="color:var(--muted);font-size:13px">Loading NVIDIA GPUs…</p></div><div style="display:flex;gap:8px;flex-wrap:wrap;margin-top:8px"><button type="button" class="btn btn-sm btn-secondary" onclick="satSelectAllGPUs()">Select all</button><button type="button" class="btn btn-sm btn-secondary" onclick="satSelectNoGPUs()">Clear</button></div><div id="sat-gpu-selection-note" style="font-size:12px;color:var(--muted);margin-top:8px"></div>`,
 	)) +
+		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>`,
+			`Runs one GPU at a time on the selected NVIDIA GPUs. Diag level is taken from Validate Profile.`,
+		)) +
 		renderSATCard("nvidia-targeted-stress", "NVIDIA GPU Targeted Stress", "runNvidiaValidateSet('nvidia-targeted-stress')", "", renderValidateCardBody(
 			inv.NVIDIA,
 			`Runs a controlled NVIDIA DCGM load in Validate to check stability under moderate stress.`,
 			`<code>dcgmi diag targeted_stress</code>`,
-			`Runs one GPU at a time with the fixed DCGM targeted stress recipe.`,
+			`Runs one GPU at a time on the selected NVIDIA GPUs with the fixed DCGM targeted stress recipe.`,
 		)) +
 		`</div>
 <div class="grid3" style="margin-top:16px">
@@ -1100,6 +1109,8 @@ func renderValidate(opts HandlerOptions) string {
 .validate-card-body { padding:0; }
 .validate-card-section { padding:12px 16px 0; }
 .validate-card-section:last-child { padding-bottom:16px; }
+.sat-gpu-row { display:flex; align-items:flex-start; gap:8px; padding:6px 0; cursor:pointer; font-size:13px; }
+.sat-gpu-row input[type=checkbox] { width:16px; height:16px; margin-top:2px; flex-shrink:0; }
 @media(max-width:900px){ .validate-profile-body { grid-template-columns:1fr; } }
 </style>
 <script>
@@ -1128,6 +1139,59 @@ function loadSatNvidiaGPUs() {
   }
   return satNvidiaGPUsPromise;
 }
+function satSelectedGPUIndices() {
+  return Array.from(document.querySelectorAll('.sat-nvidia-checkbox'))
+    .filter(function(el) { return el.checked && !el.disabled; })
+    .map(function(el) { return parseInt(el.value, 10); })
+    .filter(function(v) { return !Number.isNaN(v); })
+    .sort(function(a, b) { return a - b; });
+}
+function satUpdateGPUSelectionNote() {
+  const note = document.getElementById('sat-gpu-selection-note');
+  if (!note) return;
+  const selected = satSelectedGPUIndices();
+  if (!selected.length) {
+    note.textContent = 'Select at least one NVIDIA GPU to enable NVIDIA validate tasks.';
+    return;
+  }
+  note.textContent = 'Selected NVIDIA GPUs: ' + selected.join(', ') + '.';
+}
+function satRenderGPUList(gpus) {
+  const root = document.getElementById('sat-gpu-list');
+  if (!root) return;
+  if (!gpus || !gpus.length) {
+    root.innerHTML = '<p style="color:var(--muted);font-size:13px">No NVIDIA GPUs detected.</p>';
+    satUpdateGPUSelectionNote();
+    return;
+  }
+  root.innerHTML = gpus.map(function(gpu) {
+    const mem = gpu.memory_mb > 0 ? ' · ' + gpu.memory_mb + ' MiB' : '';
+    return '<label class="sat-gpu-row">'
+      + '<input class="sat-nvidia-checkbox" type="checkbox" value="' + gpu.index + '" checked onchange="satUpdateGPUSelectionNote()">'
+      + '<span><strong>GPU ' + gpu.index + '</strong> — ' + gpu.name + mem + '</span>'
+      + '</label>';
+  }).join('');
+  satUpdateGPUSelectionNote();
+}
+function satSelectAllGPUs() {
+  document.querySelectorAll('.sat-nvidia-checkbox').forEach(function(el) { el.checked = true; });
+  satUpdateGPUSelectionNote();
+}
+function satSelectNoGPUs() {
+  document.querySelectorAll('.sat-nvidia-checkbox').forEach(function(el) { el.checked = false; });
+  satUpdateGPUSelectionNote();
+}
+function satLoadGPUs() {
+  loadSatNvidiaGPUs().then(function(gpus) {
+    satRenderGPUList(gpus);
+  }).catch(function(err) {
+    const root = document.getElementById('sat-gpu-list');
+    if (root) {
+      root.innerHTML = '<p style="color:var(--crit-fg);font-size:13px">Error: ' + err.message + '</p>';
+    }
+    satUpdateGPUSelectionNote();
+  });
+}
 function satGPUDisplayName(gpu) {
   const idx = (gpu && Number.isFinite(Number(gpu.index))) ? Number(gpu.index) : 0;
   const name = gpu && gpu.name ? gpu.name : ('GPU ' + idx);
@@ -1149,6 +1213,36 @@ function enqueueSATTarget(target, overrides) {
   return fetch('/api/sat/'+target+'/run', {method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify(satRequestBody(target, overrides))})
     .then(r => r.json());
 }
+function streamSATTask(taskId, title, resetTerminal) {
+  if (satES) { satES.close(); satES = null; }
+  document.getElementById('sat-output').style.display='block';
+  document.getElementById('sat-title').textContent = '— ' + title;
+  const term = document.getElementById('sat-terminal');
+  if (resetTerminal) {
+    term.textContent = '';
+  }
+  term.textContent += 'Task ' + taskId + ' queued. Streaming log...\n';
+  return new Promise(function(resolve) {
+    satES = new EventSource('/api/tasks/' + taskId + '/stream');
+    satES.onmessage = function(e) { term.textContent += e.data + '\n'; term.scrollTop = term.scrollHeight; };
+    satES.addEventListener('done', function(e) {
+      satES.close();
+      satES = null;
+      term.textContent += (e.data ? '\nERROR: ' + e.data : '\nCompleted.') + '\n';
+      term.scrollTop = term.scrollHeight;
+      resolve({ok: !e.data, error: e.data || ''});
+    });
+    satES.onerror = function() {
+      if (satES) {
+        satES.close();
+        satES = null;
+      }
+      term.textContent += '\nERROR: stream disconnected.\n';
+      term.scrollTop = term.scrollHeight;
+      resolve({ok: false, error: 'stream disconnected'});
+    };
+  });
+}
 function selectedAMDValidateTargets() {
   const targets = [];
   const gpu = document.getElementById('sat-amd-target');
@@ -1163,24 +1257,23 @@ function runSAT(target) {
   return runSATWithOverrides(target, null);
 }
 function runSATWithOverrides(target, overrides) {
-  if (satES) { satES.close(); satES = null; }
+  const title = (overrides && overrides.display_name) || target;
-  document.getElementById('sat-output').style.display='block';
-  document.getElementById('sat-title').textContent = '— ' + target;
   const term = document.getElementById('sat-terminal');
-  term.textContent = 'Enqueuing ' + target + ' test...\n';
+  document.getElementById('sat-output').style.display='block';
+  document.getElementById('sat-title').textContent = '— ' + title;
+  term.textContent = 'Enqueuing ' + title + ' test...\n';
   return enqueueSATTarget(target, overrides)
-    .then(d => {
+    .then(d => streamSATTask(d.task_id, title, false));
-      term.textContent += 'Task ' + d.task_id + ' queued. Streaming log...\n';
-      satES = new EventSource('/api/tasks/'+d.task_id+'/stream');
-      satES.onmessage = e => { term.textContent += e.data+'\n'; term.scrollTop=term.scrollHeight; };
-      satES.addEventListener('done', e => { satES.close(); satES=null; term.textContent += (e.data ? '\nERROR: '+e.data : '\nCompleted.')+'\n'; });
-    });
 }
 function expandSATTarget(target) {
   if (target !== 'nvidia' && target !== 'nvidia-targeted-stress') {
     return Promise.resolve([{target: target}]);
   }
-  return loadSatNvidiaGPUs().then(gpus => gpus.map(gpu => ({
+  const selected = satSelectedGPUIndices();
+  if (!selected.length) {
+    return Promise.reject(new Error('Select at least one NVIDIA GPU.'));
+  }
+  return loadSatNvidiaGPUs().then(gpus => gpus.filter(gpu => selected.indexOf(Number(gpu.index)) >= 0).map(gpu => ({
     target: target,
     overrides: {
       gpu_indices: [Number(gpu.index)],
@@ -1191,65 +1284,61 @@ function expandSATTarget(target) {
 }
 function runNvidiaValidateSet(target) {
   return loadSatNvidiaGPUs().then(gpus => {
-    if (!gpus.length) return;
+    const selected = satSelectedGPUIndices();
-    if (gpus.length === 1) {
+    const picked = gpus.filter(gpu => selected.indexOf(Number(gpu.index)) >= 0);
-      const gpu = gpus[0];
+    if (!picked.length) {
+      throw new Error('Select at least one NVIDIA GPU.');
+    }
+    if (picked.length === 1) {
+      const gpu = picked[0];
       return runSATWithOverrides(target, {
         gpu_indices: [Number(gpu.index)],
         display_name: (satLabels()[target] || ('Validate ' + target)) + ' (' + satGPUDisplayName(gpu) + ')'
       });
     }
-    if (satES) { satES.close(); satES = null; }
     document.getElementById('sat-output').style.display='block';
     document.getElementById('sat-title').textContent = '— ' + target;
     const term = document.getElementById('sat-terminal');
-    term.textContent = 'Enqueuing ' + target + ' tests one GPU at a time...\n';
+    term.textContent = 'Running ' + target + ' one GPU at a time...\n';
     const labelBase = satLabels()[target] || ('Validate ' + target);
-    const enqueueNext = (idx) => {
+    const runNext = (idx) => {
-      if (idx >= gpus.length) return;
+      if (idx >= picked.length) return Promise.resolve();
-      const gpu = gpus[idx];
+      const gpu = picked[idx];
       const gpuLabel = satGPUDisplayName(gpu);
-      enqueueSATTarget(target, {
+      term.textContent += '\n[' + (idx + 1) + '/' + picked.length + '] ' + gpuLabel + '\n';
+      return enqueueSATTarget(target, {
         gpu_indices: [Number(gpu.index)],
         display_name: labelBase + ' (' + gpuLabel + ')'
       }).then(d => {
-        term.textContent += 'Task ' + d.task_id + ' queued for ' + gpuLabel + '.\n';
+        return streamSATTask(d.task_id, labelBase + ' (' + gpuLabel + ')', false);
-        if (idx === gpus.length - 1) {
+      }).then(function() {
-          satES = new EventSource('/api/tasks/' + d.task_id + '/stream');
+        return runNext(idx + 1);
-          satES.onmessage = e => { term.textContent += e.data+'\n'; term.scrollTop=term.scrollHeight; };
-          satES.addEventListener('done', e => { satES.close(); satES=null; term.textContent += (e.data ? '\nERROR: '+e.data : '\nCompleted.')+'\n'; });
-        }
-        enqueueNext(idx + 1);
       });
     };
-    enqueueNext(0);
+    return runNext(0);
   });
 }
 function runAMDValidateSet() {
   const targets = selectedAMDValidateTargets();
   if (!targets.length) return;
   if (targets.length === 1) return runSAT(targets[0]);
-  if (satES) { satES.close(); satES = null; }
   document.getElementById('sat-output').style.display='block';
   document.getElementById('sat-title').textContent = '— amd';
   const term = document.getElementById('sat-terminal');
-  term.textContent = 'Enqueuing AMD validate set...\n';
+  term.textContent = 'Running AMD validate set one by one...\n';
   const labels = satLabels();
-  const enqueueNext = (idx) => {
+  const runNext = (idx) => {
-    if (idx >= targets.length) return;
+    if (idx >= targets.length) return Promise.resolve();
     const target = targets[idx];
-    enqueueSATTarget(target)
+    term.textContent += '\n[' + (idx + 1) + '/' + targets.length + '] ' + labels[target] + '\n';
+    return enqueueSATTarget(target)
       .then(d => {
-        term.textContent += 'Task ' + d.task_id + ' queued for ' + labels[target] + '.\n';
+        return streamSATTask(d.task_id, labels[target], false);
-        if (idx === targets.length - 1) {
+      }).then(function() {
-          satES = new EventSource('/api/tasks/'+d.task_id+'/stream');
+        return runNext(idx + 1);
-          satES.onmessage = e => { term.textContent += e.data+'\n'; term.scrollTop=term.scrollHeight; };
-          satES.addEventListener('done', e => { satES.close(); satES=null; term.textContent += (e.data ? '\nERROR: '+e.data : '\nCompleted.')+'\n'; });
-        }
-        enqueueNext(idx + 1);
       });
   };
-  enqueueNext(0);
+  return runNext(0);
 }
 function runAllSAT() {
   const cycles = Math.max(1, parseInt(document.getElementById('sat-cycles').value)||1);
@@ -1271,17 +1360,17 @@ function runAllSAT() {
       status.textContent = 'No tasks selected.';
       return;
     }
-    const enqueueNext = (idx) => {
+    const runNext = (idx) => {
-      if (idx >= expanded.length) { status.textContent = 'Enqueued ' + total + ' tasks.'; return; }
+      if (idx >= expanded.length) { status.textContent = 'Completed ' + total + ' task(s).'; return Promise.resolve(); }
       const item = expanded[idx];
-      enqueueSATTarget(item.target, item.overrides)
+      status.textContent = 'Running ' + (idx + 1) + '/' + total + '...';
+      return enqueueSATTarget(item.target, item.overrides)
         .then(() => {
           enqueued++;
-          status.textContent = 'Enqueued ' + enqueued + '/' + total + '...';
+          return runNext(idx + 1);
-          enqueueNext(idx + 1);
         });
     };
-    enqueueNext(0);
+    return runNext(0);
   }).catch(err => {
     status.textContent = 'Error: ' + err.message;
   });
@@ -1294,6 +1383,7 @@ fetch('/api/gpu/presence').then(r=>r.json()).then(gp => {
     if (!gp.amd) disableSATCard('amd', 'No AMD GPU detected');
     if (!gp.amd) disableSATAMDOptions('No AMD GPU detected');
 });
+satLoadGPUs();
 function disableSATAMDOptions(reason) {
     ['sat-amd-target','sat-amd-mem-target','sat-amd-bandwidth-target'].forEach(function(id) {
         const cb = document.getElementById(id);
@@ -1482,7 +1572,25 @@ func renderSATCard(id, label, runAction, headerActions, body string) string {
 
 // ── Benchmark ─────────────────────────────────────────────────────────────────
 
-func renderBenchmark() string {
+type benchmarkHistoryColumn struct {
+	key   string
+	label string
+	name  string
+	index int
+}
+
+type benchmarkHistoryCell struct {
+	score   float64
+	present bool
+}
+
+type benchmarkHistoryRun struct {
+	generatedAt time.Time
+	displayTime string
+	cells       map[string]benchmarkHistoryCell
+}
+
+func renderBenchmark(opts HandlerOptions) string {
 	return `<p style="color:var(--muted);font-size:13px;margin-bottom:16px">Benchmark runs generate a human-readable TXT report and machine-readable result bundle. Tasks continue in the background — view progress in <a href="/tasks">Tasks</a>.</p>
 
 <div class="grid2">
@@ -1531,6 +1639,8 @@ func renderBenchmark() string {
   </div>
 </div>
 
+` + renderBenchmarkResultsCard(opts.ExportDir) + `
+
 <div id="benchmark-output" style="display:none;margin-top:16px" class="card">
   <div class="card-head">Benchmark Output <span id="benchmark-title"></span></div>
   <div class="card-body"><div id="benchmark-terminal" class="terminal"></div></div>
@@ -1546,6 +1656,12 @@ func renderBenchmark() string {
 <script>
 let benchmarkES = null;
 
+function benchmarkTaskIDs(payload) {
+  if (payload && Array.isArray(payload.task_ids) && payload.task_ids.length) return payload.task_ids;
+  if (payload && payload.task_id) return [payload.task_id];
+  return [];
+}
+
 function benchmarkSelectedGPUIndices() {
   return Array.from(document.querySelectorAll('.benchmark-gpu-checkbox'))
     .filter(function(el) { return el.checked && !el.disabled; })
@@ -1645,17 +1761,37 @@ function runNvidiaBenchmark() {
       return payload;
     });
   }).then(function(d) {
-    status.textContent = 'Task ' + d.task_id + ' queued.';
+    const taskIds = benchmarkTaskIDs(d);
-    term.textContent += 'Task ' + d.task_id + ' queued. Streaming log...\n';
+    if (!taskIds.length) throw new Error('No benchmark task was queued.');
-    benchmarkES = new EventSource('/api/tasks/' + d.task_id + '/stream');
+    status.textContent = taskIds.length === 1 ? ('Task ' + taskIds[0] + ' queued.') : ('Queued ' + taskIds.length + ' tasks.');
-    benchmarkES.onmessage = function(e) { term.textContent += e.data + '\n'; term.scrollTop = term.scrollHeight; };
+    const streamNext = function(idx, failures) {
-    benchmarkES.addEventListener('done', function(e) {
+      if (idx >= taskIds.length) {
-      benchmarkES.close();
+        status.textContent = failures ? 'Completed with failures.' : 'Completed.';
-      benchmarkES = null;
+        return;
-      term.textContent += (e.data ? '\nERROR: ' + e.data : '\nCompleted.') + '\n';
+      }
-      term.scrollTop = term.scrollHeight;
+      const taskId = taskIds[idx];
-      status.textContent = e.data ? 'Failed.' : 'Completed.';
+      term.textContent += '\n[' + (idx + 1) + '/' + taskIds.length + '] Task ' + taskId + ' queued. Streaming log...\n';
-    });
+      benchmarkES = new EventSource('/api/tasks/' + taskId + '/stream');
+      benchmarkES.onmessage = function(e) { term.textContent += e.data + '\n'; term.scrollTop = term.scrollHeight; };
+      benchmarkES.addEventListener('done', function(e) {
+        benchmarkES.close();
+        benchmarkES = null;
+        if (e.data) failures += 1;
+        term.textContent += (e.data ? '\nERROR: ' + e.data : '\nCompleted.') + '\n';
+        term.scrollTop = term.scrollHeight;
+        streamNext(idx + 1, failures);
+      });
+      benchmarkES.onerror = function() {
+        if (benchmarkES) {
+          benchmarkES.close();
+          benchmarkES = null;
+        }
+        term.textContent += '\nERROR: stream disconnected.\n';
+        term.scrollTop = term.scrollHeight;
+        streamNext(idx + 1, failures + 1);
+      };
+    };
+    streamNext(0, 0);
   }).catch(function(err) {
     status.textContent = 'Error.';
     term.textContent += 'ERROR: ' + err.message + '\n';
@@ -1667,6 +1803,129 @@ benchmarkLoadGPUs();
 </script>`
 }
 
+func renderBenchmarkResultsCard(exportDir string) string {
+	columns, runs := loadBenchmarkHistory(exportDir)
+	return renderBenchmarkResultsCardFromRuns(
+		"Benchmark Results",
+		"Composite score by saved benchmark run and GPU.",
+		"No saved benchmark runs yet.",
+		columns,
+		runs,
+	)
+}
+
+func renderBenchmarkResultsCardFromRuns(title, description, emptyMessage string, columns []benchmarkHistoryColumn, 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>`
+	}
+	var b strings.Builder
+	b.WriteString(`<div class="card"><div class="card-head">` + html.EscapeString(title) + `</div><div class="card-body">`)
+	if strings.TrimSpace(description) != "" {
+		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(`</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 {
+				b.WriteString(`<td style="color:var(--muted)">-</td>`)
+				continue
+			}
+			b.WriteString(`<td>` + fmt.Sprintf("%.2f", cell.score) + `</td>`)
+		}
+		b.WriteString(`</tr>`)
+	}
+	b.WriteString(`</tbody></table></div></div></div>`)
+	return b.String()
+}
+
+func loadBenchmarkHistory(exportDir string) ([]benchmarkHistoryColumn, []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
+	}
+	sort.Strings(paths)
+	return loadBenchmarkHistoryFromPaths(paths)
+}
+
+func loadBenchmarkHistoryFromPaths(paths []string) ([]benchmarkHistoryColumn, []benchmarkHistoryRun) {
+	columnByKey := make(map[string]benchmarkHistoryColumn)
+	runs := make([]benchmarkHistoryRun, 0, len(paths))
+	for _, path := range paths {
+		raw, err := os.ReadFile(path)
+		if err != nil {
+			continue
+		}
+		var result platform.NvidiaBenchmarkResult
+		if err := json.Unmarshal(raw, &result); err != nil {
+			continue
+		}
+		run := benchmarkHistoryRun{
+			generatedAt: result.GeneratedAt,
+			displayTime: result.GeneratedAt.Local().Format("2006-01-02 15:04:05"),
+			cells:       make(map[string]benchmarkHistoryCell),
+		}
+		for _, gpu := range result.GPUs {
+			key := benchmarkHistoryColumnKey(gpu.Name, gpu.Index)
+			columnByKey[key] = benchmarkHistoryColumn{
+				key:   key,
+				label: benchmarkHistoryColumnLabel(gpu.Name, gpu.Index),
+				name:  strings.TrimSpace(gpu.Name),
+				index: gpu.Index,
+			}
+			run.cells[key] = benchmarkHistoryCell{
+				score:   gpu.Scores.CompositeScore,
+				present: true,
+			}
+		}
+		runs = append(runs, run)
+	}
+
+	columns := make([]benchmarkHistoryColumn, 0, len(columnByKey))
+	for _, col := range columnByKey {
+		columns = append(columns, col)
+	}
+	sort.Slice(columns, func(i, j int) bool {
+		leftName := strings.ToLower(strings.TrimSpace(columns[i].name))
+		rightName := strings.ToLower(strings.TrimSpace(columns[j].name))
+		if leftName != rightName {
+			return leftName < rightName
+		}
+		if columns[i].index != columns[j].index {
+			return columns[i].index < columns[j].index
+		}
+		return columns[i].key < columns[j].key
+	})
+	sort.Slice(runs, func(i, j int) bool {
+		return runs[i].generatedAt.After(runs[j].generatedAt)
+	})
+	return columns, runs
+}
+
+func benchmarkHistoryColumnKey(name string, index int) string {
+	return strings.TrimSpace(name) + "|" + strconv.Itoa(index)
+}
+
+func benchmarkHistoryColumnLabel(name string, index int) string {
+	name = strings.TrimSpace(name)
+	if name == "" {
+		return fmt.Sprintf("GPU %d", index)
+	}
+	return fmt.Sprintf("%s / GPU %d", name, index)
+}
+
 // ── Burn ──────────────────────────────────────────────────────────────────────
 
 func renderBurn() string {
@@ -1786,6 +2045,12 @@ func renderBurn() string {
 <script>
 let biES = null;
 
+function burnTaskIDs(payload) {
+  if (payload && Array.isArray(payload.task_ids) && payload.task_ids.length) return payload.task_ids;
+  if (payload && payload.task_id) return [payload.task_id];
+  return [];
+}
+
 function burnProfile() {
   const selected = document.querySelector('input[name="burn-profile"]:checked');
   return selected ? selected.value : 'smoke';
@@ -1886,6 +2151,52 @@ function streamTask(taskId, label) {
     term.scrollTop = term.scrollHeight;
   });
 }
+function streamBurnTask(taskId, label, resetTerminal) {
+  return streamBurnTaskSet([taskId], label, resetTerminal);
+}
+function streamBurnTaskSet(taskIds, label, resetTerminal) {
+  if (biES) { biES.close(); biES = null; }
+  document.getElementById('bi-output').style.display = 'block';
+  document.getElementById('bi-title').textContent = '— ' + label + ' [' + burnProfile() + ']';
+  const term = document.getElementById('bi-terminal');
+  if (resetTerminal) {
+    term.textContent = '';
+  }
+  if (!Array.isArray(taskIds) || !taskIds.length) {
+    term.textContent += 'ERROR: no tasks queued.\n';
+    return Promise.resolve({ok:false, error:'no tasks queued'});
+  }
+  const streamNext = function(idx, failures) {
+    if (idx >= taskIds.length) {
+      return Promise.resolve({ok: failures === 0, error: failures ? (failures + ' task(s) failed') : ''});
+    }
+    const taskId = taskIds[idx];
+    term.textContent += '[' + (idx + 1) + '/' + taskIds.length + '] Task ' + taskId + ' queued. Streaming...\n';
+    return new Promise(function(resolve) {
+      biES = new EventSource('/api/tasks/' + taskId + '/stream');
+      biES.onmessage = function(e) { term.textContent += e.data + '\n'; term.scrollTop = term.scrollHeight; };
+      biES.addEventListener('done', function(e) {
+        biES.close();
+        biES = null;
+        term.textContent += (e.data ? '\nERROR: ' + e.data : '\nCompleted.') + '\n';
+        term.scrollTop = term.scrollHeight;
+        resolve(failures + (e.data ? 1 : 0));
+      });
+      biES.onerror = function() {
+        if (biES) {
+          biES.close();
+          biES = null;
+        }
+        term.textContent += '\nERROR: stream disconnected.\n';
+        term.scrollTop = term.scrollHeight;
+        resolve(failures + 1);
+      };
+    }).then(function(nextFailures) {
+      return streamNext(idx + 1, nextFailures);
+    });
+  };
+  return streamNext(0, 0);
+}
 
 function runBurnTaskSet(tasks, statusElId) {
   const enabled = tasks.filter(function(t) {
@@ -1898,19 +2209,33 @@ function runBurnTaskSet(tasks, statusElId) {
     if (status) status.textContent = 'No tasks selected.';
     return;
   }
-  enabled.forEach(function(t) {
+  const term = document.getElementById('bi-terminal');
-    enqueueBurnTask(t.target, t.label, t.extra, !!t.nvidia)
+  document.getElementById('bi-output').style.display = 'block';
+  document.getElementById('bi-title').textContent = '— Burn one by one [' + burnProfile() + ']';
+  term.textContent = '';
+  const runNext = function(idx) {
+    if (idx >= enabled.length) {
+      if (status) status.textContent = 'Completed ' + enabled.length + ' task(s).';
+      return Promise.resolve();
+    }
+    const t = enabled[idx];
+    term.textContent += '\n[' + (idx + 1) + '/' + enabled.length + '] ' + t.label + '\n';
+    if (status) status.textContent = 'Running ' + (idx + 1) + '/' + enabled.length + '...';
+    return enqueueBurnTask(t.target, t.label, t.extra, !!t.nvidia)
       .then(function(d) {
-        if (status) status.textContent = enabled.length + ' task(s) queued.';
+        return streamBurnTaskSet(burnTaskIDs(d), t.label, false);
-        streamTask(d.task_id, t.label);
+      })
+      .then(function() {
+        return runNext(idx + 1);
       })
       .catch(function(err) {
         if (status) status.textContent = 'Error: ' + err.message;
-        const term = document.getElementById('bi-terminal');
         document.getElementById('bi-output').style.display = 'block';
         term.textContent += 'ERROR: ' + err.message + '\n';
+        return Promise.reject(err);
       });
-  });
+  };
+  return runNext(0);
 }
 
 function runPlatformStress() {

audit/internal/webui/server_test.go

@@ -1,6 +1,7 @@
 package webui
 
 import (
+	"encoding/json"
 	"net/http"
 	"net/http/httptest"
 	"os"
@@ -601,8 +602,8 @@ func TestToolsPageRendersRestartGPUDriversButton(t *testing.T) {
 	if !strings.Contains(body, `Restart GPU Drivers`) {
 		t.Fatalf("tools page missing restart gpu drivers button: %s", body)
 	}
-	if !strings.Contains(body, `svcAction('bee-nvidia', 'restart')`) {
+	if !strings.Contains(body, `restartGPUDrivers()`) {
-		t.Fatalf("tools page missing bee-nvidia restart action: %s", body)
+		t.Fatalf("tools page missing restartGPUDrivers action: %s", body)
 	}
 	if !strings.Contains(body, `id="boot-source-text"`) {
 		t.Fatalf("tools page missing boot source field: %s", body)
@@ -636,6 +637,66 @@ func TestBenchmarkPageRendersGPUSelectionControls(t *testing.T) {
 	}
 }
 
+func TestBenchmarkPageRendersSavedResultsTable(t *testing.T) {
+	dir := t.TempDir()
+	exportDir := filepath.Join(dir, "export")
+	runDir := filepath.Join(exportDir, "bee-benchmark", "gpu-benchmark-20260406-120000")
+	if err := os.MkdirAll(runDir, 0755); err != nil {
+		t.Fatal(err)
+	}
+	result := platform.NvidiaBenchmarkResult{
+		GeneratedAt:      time.Date(2026, time.April, 6, 12, 0, 0, 0, time.UTC),
+		BenchmarkProfile: "standard",
+		OverallStatus:    "OK",
+		GPUs: []platform.BenchmarkGPUResult{
+			{
+				Index: 0,
+				Name:  "NVIDIA H100 PCIe",
+				Scores: platform.BenchmarkScorecard{
+					CompositeScore: 1176.25,
+				},
+			},
+			{
+				Index: 1,
+				Name:  "NVIDIA H100 PCIe",
+				Scores: platform.BenchmarkScorecard{
+					CompositeScore: 1168.50,
+				},
+			},
+		},
+	}
+	raw, err := json.Marshal(result)
+	if err != nil {
+		t.Fatal(err)
+	}
+	if err := os.WriteFile(filepath.Join(runDir, "result.json"), raw, 0644); err != nil {
+		t.Fatal(err)
+	}
+
+	handler := NewHandler(HandlerOptions{ExportDir: exportDir})
+	rec := httptest.NewRecorder()
+	handler.ServeHTTP(rec, httptest.NewRequest(http.MethodGet, "/benchmark", nil))
+	if rec.Code != http.StatusOK {
+		t.Fatalf("status=%d", rec.Code)
+	}
+	body := rec.Body.String()
+	wantTime := result.GeneratedAt.Local().Format("2006-01-02 15:04:05")
+	for _, needle := range []string{
+		`Benchmark Results`,
+		`Composite score by saved benchmark run and GPU.`,
+		`NVIDIA H100 PCIe / GPU 0`,
+		`NVIDIA H100 PCIe / GPU 1`,
+		`#1`,
+		wantTime,
+		`1176.25`,
+		`1168.50`,
+	} {
+		if !strings.Contains(body, needle) {
+			t.Fatalf("benchmark page missing %q: %s", needle, body)
+		}
+	}
+}
+
 func TestValidatePageRendersNvidiaTargetedStressCard(t *testing.T) {
 	handler := NewHandler(HandlerOptions{})
 	rec := httptest.NewRecorder()
@@ -649,6 +710,8 @@ func TestValidatePageRendersNvidiaTargetedStressCard(t *testing.T) {
 		`nvidia-targeted-stress`,
 		`controlled NVIDIA DCGM load`,
 		`<code>dcgmi diag targeted_stress</code>`,
+		`NVIDIA GPU Selection`,
+		`id="sat-gpu-list"`,
 	} {
 		if !strings.Contains(body, needle) {
 			t.Fatalf("validate page missing %q: %s", needle, body)

audit/internal/webui/task_page.go

@@ -97,32 +97,73 @@ func renderTaskDetailPage(opts HandlerOptions, task Task) string {
 		body.WriteString(`</div></div>`)
 	}
 
-	if task.Status == TaskRunning || task.Status == TaskPending {
+	if task.Status == TaskRunning {
 		body.WriteString(`<div class="card"><div class="card-head">Live Charts</div><div class="card-body">`)
 		body.WriteString(`<div id="task-live-charts" style="display:flex;flex-direction:column;gap:16px;color:var(--muted);font-size:13px">Loading charts...</div>`)
 		body.WriteString(`</div></div>`)
+	}
+
+	if task.Status == TaskRunning || task.Status == TaskPending {
 		body.WriteString(`<div class="card"><div class="card-head">Live Logs</div><div class="card-body">`)
 		body.WriteString(`<div id="task-live-log" class="terminal" style="max-height:none;white-space:pre-wrap">Connecting...</div>`)
 		body.WriteString(`</div></div>`)
 		body.WriteString(`<script>
 function cancelTaskDetail(id) {
-  fetch('/api/tasks/' + id + '/cancel', {method:'POST'}).then(function(){ window.location.reload(); });
+  fetch('/api/tasks/' + id + '/cancel', {method:'POST'}).then(function(){
+    var term = document.getElementById('task-live-log');
+    if (term) {
+      term.textContent += '\nCancel requested.\n';
+      term.scrollTop = term.scrollHeight;
+    }
+  });
+}
+function renderTaskLiveCharts(taskId, charts) {
+  const host = document.getElementById('task-live-charts');
+  if (!host) return;
+  if (!Array.isArray(charts) || charts.length === 0) {
+    host.innerHTML = 'Waiting for metric samples...';
+    return;
+  }
+  const seen = {};
+  charts.forEach(function(chart) {
+    seen[chart.file] = true;
+    let img = host.querySelector('img[data-chart-file="' + chart.file + '"]');
+    if (img) {
+      const card = img.closest('.card');
+      if (card) {
+        const title = card.querySelector('.card-head');
+        if (title) title.textContent = chart.title;
+      }
+      return;
+    }
+    const card = document.createElement('div');
+    card.className = 'card';
+    card.style.margin = '0';
+    card.innerHTML = '<div class="card-head"></div><div class="card-body" style="padding:12px"></div>';
+    card.querySelector('.card-head').textContent = chart.title;
+    const body = card.querySelector('.card-body');
+    img = document.createElement('img');
+    img.setAttribute('data-task-chart', '1');
+    img.setAttribute('data-chart-file', chart.file);
+    img.setAttribute('data-base-src', '/api/tasks/' + taskId + '/chart/' + chart.file);
+    img.src = '/api/tasks/' + taskId + '/chart/' + chart.file + '?t=' + Date.now();
+    img.style.width = '100%';
+    img.style.display = 'block';
+    img.style.borderRadius = '6px';
+    img.alt = chart.title;
+    body.appendChild(img);
+    host.appendChild(card);
+  });
+  Array.from(host.querySelectorAll('img[data-task-chart="1"]')).forEach(function(img) {
+    const file = img.getAttribute('data-chart-file') || '';
+    if (seen[file]) return;
+    const card = img.closest('.card');
+    if (card) card.remove();
+  });
 }
 function loadTaskLiveCharts(taskId) {
   fetch('/api/tasks/' + taskId + '/charts').then(function(r){ return r.json(); }).then(function(charts){
-    const host = document.getElementById('task-live-charts');
+    renderTaskLiveCharts(taskId, charts);
-    if (!host) return;
-    if (!Array.isArray(charts) || charts.length === 0) {
-      host.innerHTML = 'Waiting for metric samples...';
-      return;
-    }
-    host.innerHTML = charts.map(function(chart) {
-      return '<div class="card" style="margin:0">' +
-        '<div class="card-head">' + chart.title + '</div>' +
-        '<div class="card-body" style="padding:12px">' +
-        '<img data-task-chart="1" data-base-src="/api/tasks/' + taskId + '/chart/' + chart.file + '" src="/api/tasks/' + taskId + '/chart/' + chart.file + '?t=' + Date.now() + '" style="width:100%;display:block;border-radius:6px" alt="' + chart.title + '">' +
-        '</div></div>';
-    }).join('');
   }).catch(function(){
     const host = document.getElementById('task-live-charts');
     if (host) host.innerHTML = 'Task charts are unavailable.';
@@ -138,12 +179,31 @@ function refreshTaskLiveCharts() {
 var _taskDetailES = new EventSource('/api/tasks/` + html.EscapeString(task.ID) + `/stream');
 var _taskDetailTerm = document.getElementById('task-live-log');
 var _taskChartTimer = null;
+var _taskChartsFrozen = false;
 _taskDetailES.onopen = function(){ _taskDetailTerm.textContent = ''; };
 _taskDetailES.onmessage = function(e){ _taskDetailTerm.textContent += e.data + "\n"; _taskDetailTerm.scrollTop = _taskDetailTerm.scrollHeight; };
-_taskDetailES.addEventListener('done', function(){ if (_taskChartTimer) clearInterval(_taskChartTimer); _taskDetailES.close(); setTimeout(function(){ window.location.reload(); }, 1000); });
+_taskDetailES.addEventListener('done', function(e){
-_taskDetailES.onerror = function(){ if (_taskChartTimer) clearInterval(_taskChartTimer); _taskDetailES.close(); };
+  if (_taskChartTimer) clearInterval(_taskChartTimer);
+  _taskDetailES.close();
+  _taskDetailES = null;
+  _taskChartsFrozen = true;
+  _taskDetailTerm.textContent += (e.data ? '\nTask finished with error.\n' : '\nTask finished.\n');
+  _taskDetailTerm.scrollTop = _taskDetailTerm.scrollHeight;
+  refreshTaskLiveCharts();
+});
+_taskDetailES.onerror = function(){
+  if (_taskChartTimer) clearInterval(_taskChartTimer);
+  if (_taskDetailES) {
+    _taskDetailES.close();
+    _taskDetailES = null;
+  }
+};
 loadTaskLiveCharts('` + html.EscapeString(task.ID) + `');
-_taskChartTimer = setInterval(function(){ refreshTaskLiveCharts(); loadTaskLiveCharts('` + html.EscapeString(task.ID) + `'); }, 2000);
+_taskChartTimer = setInterval(function(){
+  if (_taskChartsFrozen) return;
+  loadTaskLiveCharts('` + html.EscapeString(task.ID) + `');
+  refreshTaskLiveCharts();
+}, 2000);
 </script>`)
 	}
 

audit/internal/webui/task_report.go

@@ -230,6 +230,9 @@ func renderTaskReportFragment(report taskReport, charts map[string]string, logTe
 	b.WriteString(`<div style="margin-top:14px;font-size:13px;color:var(--muted)">`)
 	b.WriteString(`Started: ` + formatTaskTime(report.StartedAt, report.CreatedAt) + ` | Finished: ` + formatTaskTime(report.DoneAt, time.Time{}) + ` | Duration: ` + formatTaskDuration(report.DurationSec))
 	b.WriteString(`</div></div></div>`)
+	if benchmarkCard := renderTaskBenchmarkResultsCard(report.Target, logText); benchmarkCard != "" {
+		b.WriteString(benchmarkCard)
+	}
 
 	if len(report.Charts) > 0 {
 		for _, chart := range report.Charts {
@@ -247,6 +250,57 @@ func renderTaskReportFragment(report taskReport, charts map[string]string, logTe
 	return b.String()
 }
 
+func renderTaskBenchmarkResultsCard(target, logText string) string {
+	if strings.TrimSpace(target) != "nvidia-benchmark" {
+		return ""
+	}
+	resultPath := taskBenchmarkResultPath(logText)
+	if strings.TrimSpace(resultPath) == "" {
+		return ""
+	}
+	columns, runs := loadBenchmarkHistoryFromPaths([]string{resultPath})
+	if len(runs) == 0 {
+		return ""
+	}
+	return renderBenchmarkResultsCardFromRuns(
+		"Benchmark Results",
+		"Composite score for this benchmark task.",
+		"No benchmark results were saved for this task.",
+		columns,
+		runs,
+	)
+}
+
+func taskBenchmarkResultPath(logText string) string {
+	archivePath := taskArchivePathFromLog(logText)
+	if archivePath == "" {
+		return ""
+	}
+	runDir := strings.TrimSuffix(archivePath, ".tar.gz")
+	if runDir == archivePath {
+		return ""
+	}
+	return filepath.Join(runDir, "result.json")
+}
+
+func taskArchivePathFromLog(logText string) string {
+	lines := strings.Split(logText, "\n")
+	for i := len(lines) - 1; i >= 0; i-- {
+		line := strings.TrimSpace(lines[i])
+		if line == "" || !strings.HasPrefix(line, "Archive:") {
+			continue
+		}
+		path := strings.TrimSpace(strings.TrimPrefix(line, "Archive:"))
+		if strings.HasPrefix(path, "Archive written to ") {
+			path = strings.TrimSpace(strings.TrimPrefix(path, "Archive written to "))
+		}
+		if strings.HasSuffix(path, ".tar.gz") {
+			return path
+		}
+	}
+	return ""
+}
+
 func renderTaskStatusBadge(status string) string {
 	className := map[string]string{
 		TaskRunning:   "badge-ok",

audit/internal/webui/tasks.go

@@ -423,13 +423,14 @@ func (q *taskQueue) worker() {
 			setCPUGovernor("performance")
 			defer setCPUGovernor("powersave")
 
-			// Drain all pending tasks and start them in parallel.
-			q.mu.Lock()
-			var batch []*Task
 			for {
+				q.mu.Lock()
 				t := q.nextPending()
 				if t == nil {
-					break
+					q.prune()
+					q.persistLocked()
+					q.mu.Unlock()
+					return
 				}
 				now := time.Now()
 				t.Status = TaskRunning
@@ -438,29 +439,14 @@ func (q *taskQueue) worker() {
 				t.ErrMsg = ""
 				j := newTaskJobState(t.LogPath, taskSerialPrefix(t))
 				t.job = j
-				batch = append(batch, t)
-			}
-			if len(batch) > 0 {
 				q.persistLocked()
-			}
+				q.mu.Unlock()
-			q.mu.Unlock()
 
-			var wg sync.WaitGroup
-			for _, t := range batch {
-				t := t
-				j := t.job
 				taskCtx, taskCancel := context.WithCancel(context.Background())
 				j.cancel = taskCancel
-				wg.Add(1)
+				q.executeTask(t, j, taskCtx)
-				goRecoverOnce("task "+t.Target, func() {
+				taskCancel()
-					defer wg.Done()
-					defer taskCancel()
-					q.executeTask(t, j, taskCtx)
-				})
-			}
-			wg.Wait()
 
-			if len(batch) > 0 {
 				q.mu.Lock()
 				q.prune()
 				q.persistLocked()
@@ -1163,7 +1149,32 @@ func taskArtifactsDir(root string, t *Task, status string) string {
 	if strings.TrimSpace(root) == "" || t == nil {
 		return ""
 	}
-	return filepath.Join(root, fmt.Sprintf("%s_%s_%s", t.ID, sanitizeTaskFolderPart(t.Name), taskFolderStatus(status)))
+	prefix := taskFolderNumberPrefix(t.ID)
+	return filepath.Join(root, fmt.Sprintf("%s_%s_%s", prefix, sanitizeTaskFolderPart(t.Name), taskFolderStatus(status)))
+}
+
+func taskFolderNumberPrefix(taskID string) string {
+	taskID = strings.TrimSpace(taskID)
+	if strings.HasPrefix(taskID, "TASK-") && len(taskID) >= len("TASK-000") {
+		num := strings.TrimSpace(strings.TrimPrefix(taskID, "TASK-"))
+		if len(num) == 3 {
+			allDigits := true
+			for _, r := range num {
+				if r < '0' || r > '9' {
+					allDigits = false
+					break
+				}
+			}
+			if allDigits {
+				return num
+			}
+		}
+	}
+	fallback := sanitizeTaskFolderPart(taskID)
+	if fallback == "" {
+		return "000"
+	}
+	return fallback
 }
 
 func ensureTaskReportPaths(t *Task) {

audit/internal/webui/tasks_test.go

@@ -163,6 +163,40 @@ func TestTaskQueueSnapshotSortsNewestFirst(t *testing.T) {
 	}
 }
 
+func TestNewJobIDUsesTASKPrefixAndZeroPadding(t *testing.T) {
+	globalQueue.mu.Lock()
+	origTasks := globalQueue.tasks
+	globalQueue.tasks = nil
+	globalQueue.mu.Unlock()
+	origCounter := jobCounter.Load()
+	jobCounter.Store(0)
+	t.Cleanup(func() {
+		globalQueue.mu.Lock()
+		globalQueue.tasks = origTasks
+		globalQueue.mu.Unlock()
+		jobCounter.Store(origCounter)
+	})
+
+	if got := newJobID("ignored"); got != "TASK-000" {
+		t.Fatalf("id=%q want TASK-000", got)
+	}
+	if got := newJobID("ignored"); got != "TASK-001" {
+		t.Fatalf("id=%q want TASK-001", got)
+	}
+}
+
+func TestTaskArtifactsDirStartsWithTaskNumber(t *testing.T) {
+	root := t.TempDir()
+	task := &Task{
+		ID:   "TASK-007",
+		Name: "NVIDIA Benchmark",
+	}
+	got := filepath.Base(taskArtifactsDir(root, task, TaskDone))
+	if !strings.HasPrefix(got, "007_") {
+		t.Fatalf("artifacts dir=%q want prefix 007_", got)
+	}
+}
+
 func TestHandleAPITasksStreamReplaysPersistedLogWithoutLiveJob(t *testing.T) {
 	dir := t.TempDir()
 	logPath := filepath.Join(dir, "task.log")
@@ -325,6 +359,78 @@ func TestFinalizeTaskRunCreatesReportFolderAndArtifacts(t *testing.T) {
 	}
 }
 
+func TestWriteTaskReportArtifactsIncludesBenchmarkResultsForTask(t *testing.T) {
+	dir := t.TempDir()
+	metricsPath := filepath.Join(dir, "metrics.db")
+	prevMetricsPath := taskReportMetricsDBPath
+	taskReportMetricsDBPath = metricsPath
+	t.Cleanup(func() { taskReportMetricsDBPath = prevMetricsPath })
+
+	benchmarkDir := filepath.Join(dir, "bee-benchmark", "gpu-benchmark-20260406-120000")
+	if err := os.MkdirAll(benchmarkDir, 0755); err != nil {
+		t.Fatal(err)
+	}
+	result := platform.NvidiaBenchmarkResult{
+		GeneratedAt:      time.Date(2026, time.April, 6, 12, 0, 0, 0, time.UTC),
+		BenchmarkProfile: "standard",
+		OverallStatus:    "OK",
+		GPUs: []platform.BenchmarkGPUResult{
+			{
+				Index: 0,
+				Name:  "NVIDIA H100 PCIe",
+				Scores: platform.BenchmarkScorecard{
+					CompositeScore: 1176.25,
+				},
+			},
+		},
+	}
+	raw, err := json.Marshal(result)
+	if err != nil {
+		t.Fatal(err)
+	}
+	if err := os.WriteFile(filepath.Join(benchmarkDir, "result.json"), raw, 0644); err != nil {
+		t.Fatal(err)
+	}
+
+	artifactsDir := filepath.Join(dir, "tasks", "task-bench_done")
+	if err := os.MkdirAll(artifactsDir, 0755); err != nil {
+		t.Fatal(err)
+	}
+	task := &Task{
+		ID:           "task-bench",
+		Name:         "NVIDIA Benchmark",
+		Target:       "nvidia-benchmark",
+		Status:       TaskDone,
+		CreatedAt:    time.Now().UTC().Add(-time.Minute),
+		ArtifactsDir: artifactsDir,
+	}
+	ensureTaskReportPaths(task)
+	logText := "line-1\nArchive: " + filepath.Join(dir, "bee-benchmark", "gpu-benchmark-20260406-120000.tar.gz") + "\n"
+	if err := os.WriteFile(task.LogPath, []byte(logText), 0644); err != nil {
+		t.Fatal(err)
+	}
+
+	if err := writeTaskReportArtifacts(task); err != nil {
+		t.Fatalf("writeTaskReportArtifacts: %v", err)
+	}
+
+	body, err := os.ReadFile(task.ReportHTMLPath)
+	if err != nil {
+		t.Fatalf("ReadFile(report.html): %v", err)
+	}
+	html := string(body)
+	for _, needle := range []string{
+		`Benchmark Results`,
+		`Composite score for this benchmark task.`,
+		`NVIDIA H100 PCIe / GPU 0`,
+		`1176.25`,
+	} {
+		if !strings.Contains(html, needle) {
+			t.Fatalf("report missing %q: %s", needle, html)
+		}
+	}
+}
+
 func TestTaskLifecycleMirrorsToSerialConsole(t *testing.T) {
 	var lines []string
 	prev := taskSerialWriteLine

iso/builder/build-in-container.sh

@@ -41,15 +41,15 @@ while [ $# -gt 0 ]; do
             ;;
         *)
             echo "unknown arg: $1" >&2
-            echo "usage: $0 [--cache-dir /path] [--rebuild-image] [--clean-build] [--authorized-keys /path/to/authorized_keys] [--variant nvidia|amd|all]" >&2
+            echo "usage: $0 [--cache-dir /path] [--rebuild-image] [--clean-build] [--authorized-keys /path/to/authorized_keys] [--variant nvidia|nvidia-legacy|amd|nogpu|all]" >&2
             exit 1
             ;;
     esac
 done
 
 case "$VARIANT" in
-    nvidia|amd|nogpu|all) ;;
+    nvidia|nvidia-legacy|amd|nogpu|all) ;;
-    *) echo "unknown variant: $VARIANT (expected nvidia, amd, nogpu, or all)" >&2; exit 1 ;;
+    *) echo "unknown variant: $VARIANT (expected nvidia, nvidia-legacy, amd, nogpu, or all)" >&2; exit 1 ;;
 esac
 
 if [ "$CLEAN_CACHE" = "1" ]; then
@@ -61,8 +61,13 @@ if [ "$CLEAN_CACHE" = "1" ]; then
            "${CACHE_DIR:?}/lb-packages"
     echo "=== cleaning live-build work dirs ==="
     rm -rf "${REPO_ROOT}/dist/live-build-work-nvidia"
+    rm -rf "${REPO_ROOT}/dist/live-build-work-nvidia-legacy"
     rm -rf "${REPO_ROOT}/dist/live-build-work-amd"
     rm -rf "${REPO_ROOT}/dist/live-build-work-nogpu"
+    rm -rf "${REPO_ROOT}/dist/overlay-stage-nvidia"
+    rm -rf "${REPO_ROOT}/dist/overlay-stage-nvidia-legacy"
+    rm -rf "${REPO_ROOT}/dist/overlay-stage-amd"
+    rm -rf "${REPO_ROOT}/dist/overlay-stage-nogpu"
     echo "=== caches cleared, proceeding with build ==="
 fi
 
@@ -180,6 +185,9 @@ case "$VARIANT" in
     nvidia)
         run_variant nvidia
         ;;
+    nvidia-legacy)
+        run_variant nvidia-legacy
+        ;;
     amd)
         run_variant amd
         ;;
@@ -188,6 +196,7 @@ case "$VARIANT" in
         ;;
     all)
         run_variant nvidia
+        run_variant nvidia-legacy
         run_variant amd
         run_variant nogpu
         ;;

iso/builder/build-nvidia-module.sh

@@ -1,8 +1,10 @@
 #!/bin/sh
-# build-nvidia-module.sh — compile NVIDIA proprietary driver modules for Debian 12
+# build-nvidia-module.sh — compile NVIDIA kernel modules for Debian 12
 #
 # Downloads the official NVIDIA .run installer, extracts kernel modules and
-# userspace tools (nvidia-smi, libnvidia-ml). Everything is proprietary NVIDIA.
+# userspace tools (nvidia-smi, libnvidia-ml). Supports both:
+#   - open         -> kernel-open/ sources from the .run installer
+#   - proprietary  -> traditional proprietary kernel sources from the .run installer
 #
 # Output is cached in DIST_DIR/nvidia-<version>-<kver>/ so subsequent builds
 # are instant unless NVIDIA_DRIVER_VERSION or kernel version changes.
@@ -17,10 +19,19 @@ set -e
 NVIDIA_VERSION="$1"
 DIST_DIR="$2"
 DEBIAN_KERNEL_ABI="$3"
+NVIDIA_FLAVOR="${4:-open}"
 
-[ -n "$NVIDIA_VERSION" ]    || { echo "usage: $0 <nvidia-version> <dist-dir> <debian-kernel-abi>"; exit 1; }
+[ -n "$NVIDIA_VERSION" ]    || { echo "usage: $0 <nvidia-version> <dist-dir> <debian-kernel-abi> [open|proprietary]"; exit 1; }
-[ -n "$DIST_DIR" ]          || { echo "usage: $0 <nvidia-version> <dist-dir> <debian-kernel-abi>"; exit 1; }
+[ -n "$DIST_DIR" ]          || { echo "usage: $0 <nvidia-version> <dist-dir> <debian-kernel-abi> [open|proprietary]"; exit 1; }
-[ -n "$DEBIAN_KERNEL_ABI" ] || { echo "usage: $0 <nvidia-version> <dist-dir> <debian-kernel-abi>"; exit 1; }
+[ -n "$DEBIAN_KERNEL_ABI" ] || { echo "usage: $0 <nvidia-version> <dist-dir> <debian-kernel-abi> [open|proprietary]"; exit 1; }
+
+case "$NVIDIA_FLAVOR" in
+    open|proprietary) ;;
+    *)
+        echo "unsupported NVIDIA flavor: $NVIDIA_FLAVOR (expected open or proprietary)" >&2
+        exit 1
+        ;;
+esac
 
 KVER="${DEBIAN_KERNEL_ABI}-amd64"
 # On Debian, kernel headers are split into two packages:
@@ -31,22 +42,13 @@ KVER="${DEBIAN_KERNEL_ABI}-amd64"
 KDIR_ARCH="/usr/src/linux-headers-${KVER}"
 KDIR_COMMON="/usr/src/linux-headers-${DEBIAN_KERNEL_ABI}-common"
 
-echo "=== NVIDIA ${NVIDIA_VERSION} (proprietary) for kernel ${KVER} ==="
+echo "=== NVIDIA ${NVIDIA_VERSION} (${NVIDIA_FLAVOR}) for kernel ${KVER} ==="
 
-if [ ! -d "$KDIR_ARCH" ] || [ ! -d "$KDIR_COMMON" ]; then
+CACHE_DIR="${DIST_DIR}/nvidia-${NVIDIA_FLAVOR}-${NVIDIA_VERSION}-${KVER}"
-    echo "=== installing linux-headers-${KVER} ==="
-    DEBIAN_FRONTEND=noninteractive apt-get install -y \
-        "linux-headers-${KVER}" \
-        gcc make perl
-fi
-echo "kernel headers (arch):   $KDIR_ARCH"
-echo "kernel headers (common): $KDIR_COMMON"
-
-CACHE_DIR="${DIST_DIR}/nvidia-${NVIDIA_VERSION}-${KVER}"
 CACHE_ROOT="${BEE_CACHE_DIR:-${DIST_DIR}/cache}"
 DOWNLOAD_CACHE_DIR="${CACHE_ROOT}/nvidia-downloads"
 EXTRACT_CACHE_DIR="${CACHE_ROOT}/nvidia-extract"
-CACHE_LAYOUT_VERSION="2"
+CACHE_LAYOUT_VERSION="3"
 CACHE_LAYOUT_MARKER="${CACHE_DIR}/.cache-layout-v${CACHE_LAYOUT_VERSION}"
 if [ -d "$CACHE_DIR/modules" ] && [ -f "$CACHE_DIR/bin/nvidia-smi" ] \
         && [ -f "$CACHE_LAYOUT_MARKER" ] \
@@ -57,6 +59,15 @@ if [ -d "$CACHE_DIR/modules" ] && [ -f "$CACHE_DIR/bin/nvidia-smi" ] \
     exit 0
 fi
 
+if [ ! -d "$KDIR_ARCH" ] || [ ! -d "$KDIR_COMMON" ]; then
+    echo "=== installing linux-headers-${KVER} ==="
+    DEBIAN_FRONTEND=noninteractive apt-get install -y \
+        "linux-headers-${KVER}" \
+        gcc make perl
+fi
+echo "kernel headers (arch):   $KDIR_ARCH"
+echo "kernel headers (common): $KDIR_COMMON"
+
 # Download official NVIDIA .run installer with sha256 verification
 BASE_URL="https://download.nvidia.com/XFree86/Linux-x86_64/${NVIDIA_VERSION}"
 mkdir -p "$DOWNLOAD_CACHE_DIR" "$EXTRACT_CACHE_DIR"
@@ -90,12 +101,18 @@ EXTRACT_DIR="${EXTRACT_CACHE_DIR}/nvidia-extract-${NVIDIA_VERSION}"
 rm -rf "$EXTRACT_DIR"
 "$RUN_FILE" --extract-only --target "$EXTRACT_DIR"
 
-# Find kernel source directory (proprietary: kernel/, open: kernel-open/)
+# Find kernel source directory for the selected flavor.
 KERNEL_SRC=""
-for d in "$EXTRACT_DIR/kernel" "$EXTRACT_DIR/kernel-modules-sources" "$EXTRACT_DIR/kernel-source"; do
+if [ "$NVIDIA_FLAVOR" = "open" ]; then
-    [ -f "$d/Makefile" ] && KERNEL_SRC="$d" && break
+    for d in "$EXTRACT_DIR/kernel-open" "$EXTRACT_DIR/kernel-open/"*; do
-done
+        [ -f "$d/Makefile" ] && KERNEL_SRC="$d" && break
-[ -n "$KERNEL_SRC" ] || { echo "ERROR: kernel source dir not found in:"; ls "$EXTRACT_DIR/"; exit 1; }
+    done
+else
+    for d in "$EXTRACT_DIR/kernel" "$EXTRACT_DIR/kernel-modules-sources" "$EXTRACT_DIR/kernel-source"; do
+        [ -f "$d/Makefile" ] && KERNEL_SRC="$d" && break
+    done
+fi
+[ -n "$KERNEL_SRC" ] || { echo "ERROR: kernel source dir not found for flavor ${NVIDIA_FLAVOR} in:"; ls "$EXTRACT_DIR/"; exit 1; }
 echo "kernel source: $KERNEL_SRC"
 
 # Build kernel modules

iso/builder/build.sh

@@ -15,26 +15,46 @@ DIST_DIR="${REPO_ROOT}/dist"
 VENDOR_DIR="${REPO_ROOT}/iso/vendor"
 CACHE_ROOT="${BEE_CACHE_DIR:-${DIST_DIR}/cache}"
 AUTH_KEYS=""
+BUILD_VARIANT="nvidia"
 BEE_GPU_VENDOR="nvidia"
+BEE_NVIDIA_MODULE_FLAVOR="open"
 
 # parse args
 while [ $# -gt 0 ]; do
     case "$1" in
         --authorized-keys) AUTH_KEYS="$2"; shift 2 ;;
-        --variant) BEE_GPU_VENDOR="$2"; shift 2 ;;
+        --variant) BUILD_VARIANT="$2"; shift 2 ;;
         *) echo "unknown arg: $1"; exit 1 ;;
     esac
 done
 
-case "$BEE_GPU_VENDOR" in
+case "$BUILD_VARIANT" in
-    nvidia|amd|nogpu) ;;
+    nvidia)
-    *) echo "unknown variant: $BEE_GPU_VENDOR (expected nvidia, amd, or nogpu)" >&2; exit 1 ;;
+        BEE_GPU_VENDOR="nvidia"
+        BEE_NVIDIA_MODULE_FLAVOR="open"
+        ;;
+    nvidia-legacy)
+        BEE_GPU_VENDOR="nvidia"
+        BEE_NVIDIA_MODULE_FLAVOR="proprietary"
+        ;;
+    amd)
+        BEE_GPU_VENDOR="amd"
+        BEE_NVIDIA_MODULE_FLAVOR=""
+        ;;
+    nogpu)
+        BEE_GPU_VENDOR="nogpu"
+        BEE_NVIDIA_MODULE_FLAVOR=""
+        ;;
+    *)
+        echo "unknown variant: $BUILD_VARIANT (expected nvidia, nvidia-legacy, amd, or nogpu)" >&2
+        exit 1
+        ;;
 esac
 
-BUILD_WORK_DIR="${DIST_DIR}/live-build-work-${BEE_GPU_VENDOR}"
+BUILD_WORK_DIR="${DIST_DIR}/live-build-work-${BUILD_VARIANT}"
-OVERLAY_STAGE_DIR="${DIST_DIR}/overlay-stage-${BEE_GPU_VENDOR}"
+OVERLAY_STAGE_DIR="${DIST_DIR}/overlay-stage-${BUILD_VARIANT}"
 
-export BEE_GPU_VENDOR
+export BEE_GPU_VENDOR BEE_NVIDIA_MODULE_FLAVOR BUILD_VARIANT
 
 . "${BUILDER_DIR}/VERSIONS"
 export PATH="$PATH:/usr/local/go/bin"
@@ -627,7 +647,7 @@ recover_iso_memtest() {
 
 AUDIT_VERSION_EFFECTIVE="$(resolve_audit_version)"
 ISO_VERSION_EFFECTIVE="$(resolve_iso_version)"
-ISO_BASENAME="easy-bee-${BEE_GPU_VENDOR}-v${ISO_VERSION_EFFECTIVE}-amd64"
+ISO_BASENAME="easy-bee-${BUILD_VARIANT}-v${ISO_VERSION_EFFECTIVE}-amd64"
 # Versioned output directory: dist/easy-bee-v4.1/ — all final artefacts live here.
 OUT_DIR="${DIST_DIR}/easy-bee-v${ISO_VERSION_EFFECTIVE}"
 mkdir -p "${OUT_DIR}"
@@ -801,7 +821,7 @@ if [ ! -d "/usr/src/linux-headers-${KVER}" ]; then
     apt-get install -y "linux-headers-${KVER}"
 fi
 
-echo "=== bee ISO build (variant: ${BEE_GPU_VENDOR}) ==="
+echo "=== bee ISO build (variant: ${BUILD_VARIANT}) ==="
 echo "Debian: ${DEBIAN_VERSION}, Kernel ABI: ${DEBIAN_KERNEL_ABI}, Go: ${GO_VERSION}"
 echo "Audit version: ${AUDIT_VERSION_EFFECTIVE}, ISO version: ${ISO_VERSION_EFFECTIVE}"
 echo ""
@@ -871,7 +891,7 @@ if [ "$BEE_GPU_VENDOR" = "nvidia" ]; then
     fi
 fi
 
-echo "=== preparing staged overlay (${BEE_GPU_VENDOR}) ==="
+echo "=== preparing staged overlay (${BUILD_VARIANT}) ==="
 mkdir -p "${BUILD_WORK_DIR}" "${OVERLAY_STAGE_DIR}"
 
 # Sync builder config into variant work dir, preserving lb cache.
@@ -981,10 +1001,10 @@ done
 # --- NVIDIA kernel modules and userspace libs ---
 if [ "$BEE_GPU_VENDOR" = "nvidia" ]; then
     run_step "build NVIDIA ${NVIDIA_DRIVER_VERSION} modules" "40-nvidia-module" \
-        sh "${BUILDER_DIR}/build-nvidia-module.sh" "${NVIDIA_DRIVER_VERSION}" "${DIST_DIR}" "${DEBIAN_KERNEL_ABI}"
+        sh "${BUILDER_DIR}/build-nvidia-module.sh" "${NVIDIA_DRIVER_VERSION}" "${DIST_DIR}" "${DEBIAN_KERNEL_ABI}" "${BEE_NVIDIA_MODULE_FLAVOR}"
 
     KVER="${DEBIAN_KERNEL_ABI}-amd64"
-    NVIDIA_CACHE="${DIST_DIR}/nvidia-${NVIDIA_DRIVER_VERSION}-${KVER}"
+    NVIDIA_CACHE="${DIST_DIR}/nvidia-${BEE_NVIDIA_MODULE_FLAVOR}-${NVIDIA_DRIVER_VERSION}-${KVER}"
 
     # Inject .ko files into overlay at /usr/local/lib/nvidia/
     OVERLAY_KMOD_DIR="${OVERLAY_STAGE_DIR}/usr/local/lib/nvidia"
@@ -1055,13 +1075,14 @@ GIT_COMMIT="$(git -C "${REPO_ROOT}" rev-parse --short HEAD 2>/dev/null || echo u
 
 if [ "$BEE_GPU_VENDOR" = "nvidia" ]; then
     GPU_VERSION_LINE="NVIDIA_DRIVER_VERSION=${NVIDIA_DRIVER_VERSION}
+NVIDIA_KERNEL_MODULES_FLAVOR=${BEE_NVIDIA_MODULE_FLAVOR}
 NCCL_VERSION=${NCCL_VERSION}
 NCCL_CUDA_VERSION=${NCCL_CUDA_VERSION}
 CUBLAS_VERSION=${CUBLAS_VERSION}
 CUDA_USERSPACE_VERSION=${CUDA_USERSPACE_VERSION}
 NCCL_TESTS_VERSION=${NCCL_TESTS_VERSION}
 JOHN_JUMBO_COMMIT=${JOHN_JUMBO_COMMIT}"
-    GPU_BUILD_INFO="nvidia:${NVIDIA_DRIVER_VERSION}"
+    GPU_BUILD_INFO="nvidia-${BEE_NVIDIA_MODULE_FLAVOR}:${NVIDIA_DRIVER_VERSION}"
 elif [ "$BEE_GPU_VENDOR" = "amd" ]; then
     GPU_VERSION_LINE="ROCM_VERSION=${ROCM_VERSION}"
     GPU_BUILD_INFO="rocm:${ROCM_VERSION}"
@@ -1073,6 +1094,7 @@ fi
 cat > "${OVERLAY_STAGE_DIR}/etc/bee-release" <<EOF
 BEE_ISO_VERSION=${ISO_VERSION_EFFECTIVE}
 BEE_AUDIT_VERSION=${AUDIT_VERSION_EFFECTIVE}
+BEE_BUILD_VARIANT=${BUILD_VARIANT}
 BEE_GPU_VENDOR=${BEE_GPU_VENDOR}
 BUILD_DATE=${BUILD_DATE}
 GIT_COMMIT=${GIT_COMMIT}
@@ -1083,6 +1105,11 @@ EOF
 
 # Write GPU vendor marker for hooks
 echo "${BEE_GPU_VENDOR}" > "${OVERLAY_STAGE_DIR}/etc/bee-gpu-vendor"
+if [ "$BEE_GPU_VENDOR" = "nvidia" ]; then
+    echo "${BEE_NVIDIA_MODULE_FLAVOR}" > "${OVERLAY_STAGE_DIR}/etc/bee-nvidia-modules-flavor"
+else
+    rm -f "${OVERLAY_STAGE_DIR}/etc/bee-nvidia-modules-flavor"
+fi
 
 # Patch motd with build info
 BEE_BUILD_INFO="${BUILD_DATE} git:${GIT_COMMIT} debian:${DEBIAN_VERSION} ${GPU_BUILD_INFO}"
@@ -1153,10 +1180,10 @@ fi
 
 # --- build ISO using live-build ---
 echo ""
-echo "=== building ISO (live-build, variant: ${BEE_GPU_VENDOR}) ==="
+echo "=== building ISO (variant: ${BUILD_VARIANT}) ==="
 
 # Export for auto/config
-BEE_GPU_VENDOR_UPPER="$(echo "${BEE_GPU_VENDOR}" | tr 'a-z' 'A-Z')"
+BEE_GPU_VENDOR_UPPER="$(echo "${BUILD_VARIANT}" | tr 'a-z-' 'A-Z_')"
 export BEE_GPU_VENDOR_UPPER
 
 cd "${LB_DIR}"
@@ -1191,7 +1218,7 @@ if [ -f "$ISO_RAW" ]; then
     validate_iso_nvidia_runtime "$ISO_RAW"
     cp "$ISO_RAW" "$ISO_OUT"
     echo ""
-    echo "=== done (${BEE_GPU_VENDOR}) ==="
+    echo "=== done (${BUILD_VARIANT}) ==="
     echo "ISO: $ISO_OUT"
     if command -v stat >/dev/null 2>&1; then
         ISO_SIZE_BYTES="$(stat -c '%s' "$ISO_OUT" 2>/dev/null || stat -f '%z' "$ISO_OUT")"

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@ 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 nowatchdog nosoftlockup
     initrd  @INITRD_LIVE@
 }
 
 submenu "EASY-BEE (advanced options) -->" {
     menuentry "EASY-BEE — GSP=off" {
-        linux   @KERNEL_LIVE@ @APPEND_LIVE@ 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 nowatchdog nosoftlockup
         initrd  @INITRD_LIVE@
     }
 
-    menuentry "EASY-BEE — nomodeset" {
+    menuentry "EASY-BEE — KMS (no nomodeset)" {
-        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@ bee.nvidia.mode=normal net.ifnames=0 biosdevname=0 mitigations=off transparent_hugepage=always numa_balancing=disable nowatchdog nosoftlockup
         initrd  @INITRD_LIVE@
     }
 

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

@@ -44,23 +44,27 @@ else:
 img  = Image.new('RGB', (W, H), (0, 0, 0))
 draw = ImageDraw.Draw(img)
 
-# Measure logo block
+# Measure logo block line by line to avoid font ascender offset
 lines = LOGO.split('\n')
-bbox = draw.textbbox((0, 0), LOGO, font=font_logo)
+logo_lines = lines[:6]
-text_w = bbox[2] - bbox[0]
+sub_line   = lines[6] if len(lines) > 6 else ''
-text_h = bbox[3] - bbox[1]
 
-x = (W - text_w) // 2
+line_h = SIZE + 2
-y = (H - text_h) // 2
+block_h = len(logo_lines) * line_h + 8 + (SIZE if sub_line else 0)
 
-# Draw logo lines: first 6 in amber, last line (subtitle) dimmer
+# Width: measure the widest logo line
-logo_lines  = lines[:6]
+max_w = 0
-sub_line    = lines[6] if len(lines) > 6 else ''
+for line in logo_lines:
+    bb = draw.textbbox((0, 0), line, font=font_logo)
+    max_w = max(max_w, bb[2] - bb[0])
+
+x = (W - max_w) // 2
+y = (H - block_h) // 2
 
 cy = y
 for line in logo_lines:
     draw.text((x, cy), line, font=font_logo, fill=(0xf6, 0xc9, 0x0e))
-    cy += SIZE + 2
+    cy += line_h
 cy += 8
 if sub_line:
     draw.text((x, cy), sub_line, font=font_sub, fill=(0x80, 0x68, 0x18))

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

@@ -62,6 +62,8 @@ done
 echo "loader=bee-gpu-burn"
 echo "selected_gpus=${FINAL}"
 
+export CUDA_DEVICE_ORDER="PCI_BUS_ID"
+
 TMP_DIR=$(mktemp -d)
 trap 'rm -rf "${TMP_DIR}"' EXIT INT TERM
 
@@ -78,7 +80,8 @@ for id in $(echo "${FINAL}" | tr ',' ' '); do
         fi
     fi
     echo "starting gpu ${id} size=${gpu_size_mb}MB"
-    "${WORKER}" --device "${id}" --seconds "${SECONDS}" --size-mb "${gpu_size_mb}" >"${log}" 2>&1 &
+    CUDA_VISIBLE_DEVICES="${id}" \
+        "${WORKER}" --device 0 --seconds "${SECONDS}" --size-mb "${gpu_size_mb}" >"${log}" 2>&1 &
     pid=$!
     WORKERS="${WORKERS} ${pid}:${id}:${log}"
 done

iso/overlay/usr/local/bin/bee-john-gpu-stress

@@ -152,14 +152,19 @@ done
 
 [ -n "${FINAL}" ] || { echo "no NVIDIA GPUs selected after filters" >&2; exit 1; }
 
+export CUDA_DEVICE_ORDER="PCI_BUS_ID"
+export CUDA_VISIBLE_DEVICES="${FINAL}"
+
 JOHN_DEVICES=""
+local_id=1
 for id in $(echo "${FINAL}" | tr ',' ' '); do
-    opencl_id=$((id + 1))
+    opencl_id="${local_id}"
     if [ -z "${JOHN_DEVICES}" ]; then
         JOHN_DEVICES="${opencl_id}"
     else
         JOHN_DEVICES="${JOHN_DEVICES},${opencl_id}"
     fi
+    local_id=$((local_id + 1))
 done
 
 echo "loader=john"

iso/overlay/usr/local/bin/bee-nccl-gpu-stress

@@ -70,6 +70,8 @@ echo "gpu_count=${GPU_COUNT}"
 echo "range=${MIN_BYTES}..${MAX_BYTES}"
 echo "iters=${ITERS}"
 
+export CUDA_DEVICE_ORDER="PCI_BUS_ID"
+
 deadline=$(( $(date +%s) + SECONDS ))
 round=0
 

iso/overlay/usr/local/bin/bee-nvidia-load

@@ -209,6 +209,18 @@ fi
 ldconfig 2>/dev/null || true
 log "ldconfig refreshed"
 
+# Keep persistence mode enabled across the session so dcgmi / stress tools do
+# not fail with deployment warnings on otherwise healthy GPUs.
+if command -v nvidia-smi >/dev/null 2>&1; then
+    if nvidia-smi -pm 1 >/dev/null 2>&1; then
+        log "enabled NVIDIA persistence mode"
+    else
+        log "WARN: failed to enable NVIDIA persistence mode"
+    fi
+else
+    log "WARN: nvidia-smi not found — cannot enable persistence mode"
+fi
+
 # Start DCGM host engine so dcgmi can discover GPUs.
 # nv-hostengine must run after the NVIDIA modules and device nodes are ready.
 # If it started too early (for example via systemd before bee-nvidia-load), it can