Add rsync to initramfs for toram progress output

live-boot already uses rsync --progress when /bin/rsync exists; without it the copy falls back to silent cp -a. Add rsync to the ISO package list and install an initramfs-tools hook (bee-rsync) that copies the rsync binary + shared libs into the initrd via copy_exec. The hook then rebuilds the initramfs so the change takes effect in the ISO's initrd.img. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Add toram boot entry and Install to RAM resume support
2026-04-17 23:52:47 +03:00 · 2026-04-17 23:48:56 +03:00 · 2026-04-17 17:59:58 +03:00 · 2026-04-16 11:43:01 +03:00 · 2026-04-16 11:02:30 +03:00 · 2026-04-16 10:54:03 +03:00
28 changed files with 2070 additions and 617 deletions
--- a/audit/internal/app/app.go
+++ b/audit/internal/app/app.go
@@ -146,7 +146,7 @@ type satRunner interface {
 	RunSATStressPack(ctx context.Context, baseDir string, durationSec int, logFunc func(string)) (string, error)
 	RunFanStressTest(ctx context.Context, baseDir string, opts platform.FanStressOptions) (string, error)
 	RunPlatformStress(ctx context.Context, baseDir string, opts platform.PlatformStressOptions, logFunc func(string)) (string, error)
-	RunNCCLTests(ctx context.Context, baseDir string, logFunc func(string)) (string, error)
+	RunNCCLTests(ctx context.Context, baseDir string, gpuIndices []int, logFunc func(string)) (string, error)
 }

 type runtimeChecker interface {
@@ -744,8 +744,15 @@ func (a *App) RunPlatformStress(ctx context.Context, baseDir string, opts platfo
 	return a.sat.RunPlatformStress(ctx, baseDir, opts, logFunc)
 }

+func (a *App) RunNCCLTests(ctx context.Context, baseDir string, gpuIndices []int, logFunc func(string)) (string, error) {
+	if strings.TrimSpace(baseDir) == "" {
+		baseDir = DefaultSATBaseDir
+	}
+	return a.sat.RunNCCLTests(ctx, baseDir, gpuIndices, logFunc)
+}
+
 func (a *App) RunNCCLTestsResult(ctx context.Context) (ActionResult, error) {
-	path, err := a.sat.RunNCCLTests(ctx, DefaultSATBaseDir, nil)
+	path, err := a.RunNCCLTests(ctx, DefaultSATBaseDir, nil, nil)
 	body := "Results: " + path
 	if err != nil && err != context.Canceled {
 		body += "\nERROR: " + err.Error()
--- a/audit/internal/app/app_test.go
+++ b/audit/internal/app/app_test.go
@@ -128,6 +128,7 @@ type fakeSAT struct {
 	runNvidiaPowerFn          func(string, int, []int) (string, error)
 	runNvidiaPulseFn          func(string, int, []int) (string, error)
 	runNvidiaBandwidthFn      func(string, []int) (string, error)
+	runNCCLFn                 func(string, []int) (string, error)
 	runNvidiaTargetedStressFn func(string, int, []int) (string, error)
 	runMemoryFn               func(string) (string, error)
 	runStorageFn              func(string) (string, error)
@@ -287,10 +288,43 @@ func (f fakeSAT) RunPlatformStress(_ context.Context, _ string, _ platform.Platf
 	return "", nil
 }

-func (f fakeSAT) RunNCCLTests(_ context.Context, _ string, _ func(string)) (string, error) {
+func (f fakeSAT) RunNCCLTests(_ context.Context, baseDir string, gpuIndices []int, _ func(string)) (string, error) {
+	if f.runNCCLFn != nil {
+		return f.runNCCLFn(baseDir, gpuIndices)
+	}
 	return "", nil
 }

+func TestRunNCCLTestsPassesSelectedGPUs(t *testing.T) {
+	t.Parallel()
+
+	var gotBaseDir string
+	var gotGPUIndices []int
+	a := &App{
+		sat: fakeSAT{
+			runNCCLFn: func(baseDir string, gpuIndices []int) (string, error) {
+				gotBaseDir = baseDir
+				gotGPUIndices = append([]int(nil), gpuIndices...)
+				return "/tmp/nccl-tests.tar.gz", nil
+			},
+		},
+	}
+
+	path, err := a.RunNCCLTests(context.Background(), "/tmp/sat", []int{3, 1}, nil)
+	if err != nil {
+		t.Fatalf("RunNCCLTests error: %v", err)
+	}
+	if path != "/tmp/nccl-tests.tar.gz" {
+		t.Fatalf("path=%q want %q", path, "/tmp/nccl-tests.tar.gz")
+	}
+	if gotBaseDir != "/tmp/sat" {
+		t.Fatalf("baseDir=%q want %q", gotBaseDir, "/tmp/sat")
+	}
+	if len(gotGPUIndices) != 2 || gotGPUIndices[0] != 3 || gotGPUIndices[1] != 1 {
+		t.Fatalf("gpuIndices=%v want [3 1]", gotGPUIndices)
+	}
+}
+
 func TestNetworkStatusFormatsInterfacesAndRoute(t *testing.T) {
 	t.Parallel()

--- a/audit/internal/platform/benchmark.go
+++ b/audit/internal/platform/benchmark.go
--- a/audit/internal/platform/benchmark_report.go
+++ b/audit/internal/platform/benchmark_report.go
@@ -61,6 +61,9 @@ func renderBenchmarkReportWithCharts(result NvidiaBenchmarkResult) string {
 	if result.ScalabilityScore > 0 {
 		fmt.Fprintf(&b, "**Scalability score:** %.1f%%  \n", result.ScalabilityScore)
 	}
+	if result.PlatformPowerScore > 0 {
+		fmt.Fprintf(&b, "**Platform power score:** %.1f%%  \n", result.PlatformPowerScore)
+	}
 	fmt.Fprintf(&b, "**Overall status:** %s  \n", result.OverallStatus)
 	b.WriteString("\n")

@@ -81,41 +84,92 @@ func renderBenchmarkReportWithCharts(result NvidiaBenchmarkResult) string {
 		b.WriteString("\n")
 	}

-	// ── Methodology ───────────────────────────────────────────────────────────
-	b.WriteString("## Methodology\n\n")
-	fmt.Fprintf(&b, "- Profile `%s` uses standardized baseline -> warmup -> steady-state -> interconnect phases.\n", result.BenchmarkProfile)
-	b.WriteString("- Single-GPU compute score comes from `bee-gpu-burn` on the cuBLASLt path when available.\n")
-	b.WriteString("- Thermal and power limits are inferred from NVIDIA clock-event counters plus sustained telemetry.\n")
-	b.WriteString("- `result.json` is the canonical machine-readable source for the run.\n\n")
-	b.WriteString("**Compute score** is derived from two phases:\n\n")
-	b.WriteString("- **Synthetic** — each precision type (int8, fp8, fp16, fp32, fp64, fp4) runs alone for a dedicated window. ")
-	b.WriteString("Measures peak throughput with the full GPU dedicated to one kernel type. ")
-	b.WriteString("Each result is normalised to fp32-equivalent TOPS using precision weights: ")
-	b.WriteString("fp64 ×2.0 · fp32 ×1.0 · fp16 ×0.5 · int8 ×0.25 · fp8 ×0.25 · fp4 ×0.125.\n")
-	b.WriteString("- **Mixed** — all precision types run simultaneously (combined phase). ")
-	b.WriteString("Reflects real inference workloads where fp8 matrix ops, fp16 attention and fp32 accumulation compete for bandwidth and SM scheduler slots.\n\n")
-	b.WriteString("**Formula:** `Compute = Synthetic × (1 + MixedEfficiency × 0.3)`\n\n")
-	b.WriteString("where `MixedEfficiency = Mixed / Synthetic`. A GPU that sustains 90 % throughput under mixed load ")
-	b.WriteString("receives a +27 % bonus over its synthetic score; one that drops to 60 % receives +18 %.\n\n")
-	b.WriteString("**Composite score** = `Compute × quality_factor` where quality factors in power sustain, thermal sustain, stability, and interconnect.\n\n")
+	// ── Balanced Scorecard ────────────────────────────────────────────────────
+	b.WriteString("## Balanced Scorecard\n\n")

-	// ── Scorecard table ───────────────────────────────────────────────────────
-	b.WriteString("## Scorecard\n\n")
-	b.WriteString("| GPU | Status | Composite | Compute | Synthetic | Mixed | Mixed Eff. | TOPS/SM/GHz | Power Sustain | Thermal Sustain | Stability | Interconnect |\n")
-	b.WriteString("|-----|--------|-----------|---------|-----------|-------|------------|-------------|---------------|-----------------|-----------|-------------|\n")
+	// Perspective 1: Compatibility — hard stops
+	b.WriteString("### 1. Compatibility\n\n")
+	b.WriteString("| GPU | Thermal throttle | Fan duty at throttle | ECC uncorr | Status |\n")
+	b.WriteString("|-----|------------------|----------------------|------------|--------|\n")
 	for _, gpu := range result.GPUs {
-		name := strings.TrimSpace(gpu.Name)
-		if name == "" {
-			name = "Unknown GPU"
+		thermalThrottle := "-"
+		if gpu.Scores.ThermalThrottlePct > 0 {
+			thermalThrottle = fmt.Sprintf("%.1f%%", gpu.Scores.ThermalThrottlePct)
 		}
-		interconnect := "-"
-		if gpu.Scores.InterconnectScore > 0 {
-			interconnect = fmt.Sprintf("%.1f", gpu.Scores.InterconnectScore)
+		fanAtThrottle := "-"
+		if result.Cooling != nil && result.Cooling.FanDutyCycleAvailable && gpu.Scores.ThermalThrottlePct > 0 {
+			fanAtThrottle = fmt.Sprintf("%.0f%%", result.Cooling.P95FanDutyCyclePct)
 		}
-		topsPerSM := "-"
-		if gpu.Scores.TOPSPerSMPerGHz > 0 {
-			topsPerSM = fmt.Sprintf("%.3f", gpu.Scores.TOPSPerSMPerGHz)
+		ecc := "-"
+		if gpu.ECC.Uncorrected > 0 {
+			ecc = fmt.Sprintf("⛔ %d", gpu.ECC.Uncorrected)
 		}
+		compatStatus := "✓ OK"
+		if gpu.ECC.Uncorrected > 0 || (gpu.Scores.ThermalThrottlePct > 0 && result.Cooling != nil && result.Cooling.FanDutyCycleAvailable && result.Cooling.P95FanDutyCyclePct < 95) {
+			compatStatus = "⛔ HARD STOP"
+		}
+		fmt.Fprintf(&b, "| GPU %d | %s | %s | %s | %s |\n",
+			gpu.Index, thermalThrottle, fanAtThrottle, ecc, compatStatus)
+	}
+	b.WriteString("\n")
+
+	// Perspective 2: Thermal headroom
+	b.WriteString("### 2. Thermal Headroom\n\n")
+	b.WriteString("| GPU | p95 temp | Slowdown limit | Shutdown limit | Headroom | Thermal throttle | Status |\n")
+	b.WriteString("|-----|----------|----------------|----------------|----------|------------------|--------|\n")
+	for _, gpu := range result.GPUs {
+		shutdownTemp := gpu.ShutdownTempC
+		if shutdownTemp <= 0 {
+			shutdownTemp = 90
+		}
+		slowdownTemp := gpu.SlowdownTempC
+		if slowdownTemp <= 0 {
+			slowdownTemp = 80
+		}
+		headroom := gpu.Scores.TempHeadroomC
+		thermalStatus := "✓ OK"
+		switch {
+		case headroom < 10:
+			thermalStatus = "⛔ CRITICAL"
+		case gpu.Steady.P95TempC >= slowdownTemp:
+			thermalStatus = "⚠ WARNING"
+		}
+		throttlePct := "-"
+		if gpu.Scores.ThermalThrottlePct > 0 {
+			throttlePct = fmt.Sprintf("%.1f%%", gpu.Scores.ThermalThrottlePct)
+		}
+		fmt.Fprintf(&b, "| GPU %d | %.1f°C | %.0f°C | %.0f°C | %.1f°C | %s | %s |\n",
+			gpu.Index, gpu.Steady.P95TempC, slowdownTemp, shutdownTemp, headroom, throttlePct, thermalStatus)
+	}
+	b.WriteString("\n")
+
+	// Perspective 3: Power delivery
+	b.WriteString("### 3. Power Delivery\n\n")
+	b.WriteString("| GPU | Power cap throttle | Power stability | Fan duty (p95) | Status |\n")
+	b.WriteString("|-----|-------------------|-----------------|----------------|--------|\n")
+	for _, gpu := range result.GPUs {
+		powerCap := "-"
+		if gpu.Scores.PowerCapThrottlePct > 0 {
+			powerCap = fmt.Sprintf("%.1f%%", gpu.Scores.PowerCapThrottlePct)
+		}
+		fanDuty := "-"
+		if result.Cooling != nil && result.Cooling.FanDutyCycleAvailable {
+			fanDuty = fmt.Sprintf("%.0f%%", result.Cooling.P95FanDutyCyclePct)
+		}
+		powerStatus := "✓ OK"
+		if gpu.Scores.PowerCapThrottlePct > 5 {
+			powerStatus = "⚠ POWER LIMITED"
+		}
+		fmt.Fprintf(&b, "| GPU %d | %s | %.1f | %s | %s |\n",
+			gpu.Index, powerCap, gpu.Scores.PowerSustainScore, fanDuty, powerStatus)
+	}
+	b.WriteString("\n")
+
+	// Perspective 4: Performance
+	b.WriteString("### 4. Performance\n\n")
+	b.WriteString("| GPU | Compute TOPS | Synthetic | Mixed | Mixed Eff. | TOPS/SM/GHz |\n")
+	b.WriteString("|-----|--------------|-----------|-------|------------|-------------|\n")
+	for _, gpu := range result.GPUs {
 		synthetic := "-"
 		if gpu.Scores.SyntheticScore > 0 {
 			synthetic = fmt.Sprintf("%.2f", gpu.Scores.SyntheticScore)
@@ -128,20 +182,41 @@ func renderBenchmarkReportWithCharts(result NvidiaBenchmarkResult) string {
 		if gpu.Scores.MixedEfficiency > 0 {
 			mixedEff = fmt.Sprintf("%.1f%%", gpu.Scores.MixedEfficiency*100)
 		}
-		fmt.Fprintf(&b, "| GPU %d %s | %s | **%.2f** | %.2f | %s | %s | %s | %s | %.1f | %.1f | %.1f | %s |\n",
-			gpu.Index, name,
-			gpu.Status,
-			gpu.Scores.CompositeScore,
-			gpu.Scores.ComputeScore,
-			synthetic,
-			mixed,
-			mixedEff,
-			topsPerSM,
-			gpu.Scores.PowerSustainScore,
-			gpu.Scores.ThermalSustainScore,
-			gpu.Scores.StabilityScore,
-			interconnect,
-		)
+		topsPerSM := "-"
+		if gpu.Scores.TOPSPerSMPerGHz > 0 {
+			topsPerSM = fmt.Sprintf("%.3f", gpu.Scores.TOPSPerSMPerGHz)
+		}
+		fmt.Fprintf(&b, "| GPU %d | **%.2f** | %s | %s | %s | %s |\n",
+			gpu.Index, gpu.Scores.CompositeScore, synthetic, mixed, mixedEff, topsPerSM)
+	}
+	if len(result.PerformanceRampSteps) > 0 {
+		fmt.Fprintf(&b, "\n**Platform power score (scalability):** %.1f%%\n", result.PlatformPowerScore)
+	}
+	b.WriteString("\n")
+
+	// Perspective 5: Anomaly flags
+	b.WriteString("### 5. Anomalies\n\n")
+	b.WriteString("| GPU | ECC corrected | Sync boost throttle | Power instability | Thermal instability |\n")
+	b.WriteString("|-----|---------------|---------------------|-------------------|---------------------|\n")
+	for _, gpu := range result.GPUs {
+		eccCorr := "-"
+		if gpu.ECC.Corrected > 0 {
+			eccCorr = fmt.Sprintf("⚠ %d", gpu.ECC.Corrected)
+		}
+		syncBoost := "-"
+		if gpu.Scores.SyncBoostThrottlePct > 0 {
+			syncBoost = fmt.Sprintf("%.1f%%", gpu.Scores.SyncBoostThrottlePct)
+		}
+		powerVar := "OK"
+		if gpu.Scores.PowerSustainScore < 70 {
+			powerVar = "⚠ unstable"
+		}
+		thermalVar := "OK"
+		if gpu.Scores.ThermalSustainScore < 70 {
+			thermalVar = "⚠ unstable"
+		}
+		fmt.Fprintf(&b, "| GPU %d | %s | %s | %s | %s |\n",
+			gpu.Index, eccCorr, syncBoost, powerVar, thermalVar)
 	}
 	b.WriteString("\n")

@@ -171,13 +246,13 @@ func renderBenchmarkReportWithCharts(result NvidiaBenchmarkResult) string {
 			fmt.Fprintf(&b, "- **Power limit:** %.0f W (default %.0f W)\n", gpu.PowerLimitW, gpu.DefaultPowerLimitW)
 		}
 		if gpu.PowerLimitDerated {
-			fmt.Fprintf(&b, "- **Power limit derating:** active after %d targeted_power attempt(s)\n", gpu.PowerCalibrationTries)
+			fmt.Fprintf(&b, "- **Power limit derating:** active (reduced limit %.0f W)\n", gpu.PowerLimitW)
 		}
 		if gpu.CalibratedPeakPowerW > 0 {
 			if gpu.CalibratedPeakTempC > 0 {
-				fmt.Fprintf(&b, "- **Power calibration (`dcgmi targeted_power`):** %.0f W p95 at %.1f °C p95\n", gpu.CalibratedPeakPowerW, gpu.CalibratedPeakTempC)
+				fmt.Fprintf(&b, "- **Calibrated peak power:** %.0f W p95 at %.1f °C p95\n", gpu.CalibratedPeakPowerW, gpu.CalibratedPeakTempC)
 			} else {
-				fmt.Fprintf(&b, "- **Power calibration (`dcgmi targeted_power`):** %.0f W p95\n", gpu.CalibratedPeakPowerW)
+				fmt.Fprintf(&b, "- **Calibrated peak power:** %.0f W p95\n", gpu.CalibratedPeakPowerW)
 			}
 		}
 		if gpu.LockedGraphicsClockMHz > 0 {
@@ -186,14 +261,18 @@ func renderBenchmarkReportWithCharts(result NvidiaBenchmarkResult) string {
 		b.WriteString("\n")

 		// Steady-state telemetry
-		fmt.Fprintf(&b, "**Steady-state telemetry** (%ds):\n\n", int(gpu.Steady.DurationSec))
-		b.WriteString("| | Avg | P95 |\n|---|---|---|\n")
-		fmt.Fprintf(&b, "| Power | %.1f W | %.1f W |\n", gpu.Steady.AvgPowerW, gpu.Steady.P95PowerW)
-		fmt.Fprintf(&b, "| Temperature | %.1f °C | %.1f °C |\n", gpu.Steady.AvgTempC, gpu.Steady.P95TempC)
-		fmt.Fprintf(&b, "| GPU clock | %.0f MHz | %.0f MHz |\n", gpu.Steady.AvgGraphicsClockMHz, gpu.Steady.P95GraphicsClockMHz)
-		fmt.Fprintf(&b, "| Memory clock | %.0f MHz | %.0f MHz |\n", gpu.Steady.AvgMemoryClockMHz, gpu.Steady.P95MemoryClockMHz)
-		fmt.Fprintf(&b, "| GPU utilisation | %.1f %% | — |\n", gpu.Steady.AvgUsagePct)
-		b.WriteString("\n")
+		if benchmarkTelemetryAvailable(gpu.Steady) {
+			fmt.Fprintf(&b, "**Steady-state telemetry** (%ds):\n\n", int(gpu.Steady.DurationSec))
+			b.WriteString("| | Avg | P95 |\n|---|---|---|\n")
+			fmt.Fprintf(&b, "| Power | %.1f W | %.1f W |\n", gpu.Steady.AvgPowerW, gpu.Steady.P95PowerW)
+			fmt.Fprintf(&b, "| Temperature | %.1f °C | %.1f °C |\n", gpu.Steady.AvgTempC, gpu.Steady.P95TempC)
+			fmt.Fprintf(&b, "| GPU clock | %.0f MHz | %.0f MHz |\n", gpu.Steady.AvgGraphicsClockMHz, gpu.Steady.P95GraphicsClockMHz)
+			fmt.Fprintf(&b, "| Memory clock | %.0f MHz | %.0f MHz |\n", gpu.Steady.AvgMemoryClockMHz, gpu.Steady.P95MemoryClockMHz)
+			fmt.Fprintf(&b, "| GPU utilisation | %.1f %% | — |\n", gpu.Steady.AvgUsagePct)
+			b.WriteString("\n")
+		} else {
+			b.WriteString("**Steady-state telemetry:** unavailable\n\n")
+		}

 		// Per-precision stability phases.
 		if len(gpu.PrecisionSteady) > 0 {
@@ -329,6 +408,19 @@ func renderBenchmarkReportWithCharts(result NvidiaBenchmarkResult) string {
 		}
 	}

+	// ── Platform Scalability ──────────────────────────────────────────────────
+	if len(result.PerformanceRampSteps) > 0 {
+		b.WriteString("## Platform Scalability (Performance Ramp)\n\n")
+		fmt.Fprintf(&b, "**Platform power score:** %.1f%%  \n\n", result.PlatformPowerScore)
+		b.WriteString("| k GPUs | GPU Indices | Total Synthetic TOPS | Scalability |\n")
+		b.WriteString("|--------|-------------|----------------------|-------------|\n")
+		for _, step := range result.PerformanceRampSteps {
+			fmt.Fprintf(&b, "| %d | %s | %.2f | %.1f%% |\n",
+				step.StepIndex, joinIndexList(step.GPUIndices), step.TotalSyntheticTOPS, step.ScalabilityPct)
+		}
+		b.WriteString("\n")
+	}
+
 	// ── Raw files ─────────────────────────────────────────────────────────────
 	b.WriteString("## Raw Files\n\n")
 	b.WriteString("- `result.json`\n- `report.md`\n- `summary.txt`\n- `verbose.log`\n")
--- a/audit/internal/platform/benchmark_test.go
+++ b/audit/internal/platform/benchmark_test.go
@@ -49,8 +49,8 @@ func TestBuildBenchmarkSteadyPlanStandard(t *testing.T) {
 		benchmarkPrecisionPhases,
 		func(label string) string { return label },
 	)
-	if len(labels) != 7 || len(phases) != 7 {
-		t.Fatalf("labels=%d phases=%d want 7", len(labels), len(phases))
+	if len(labels) != 5 || len(phases) != 5 {
+		t.Fatalf("labels=%d phases=%d want 5", len(labels), len(phases))
 	}
 	if basePhaseSec != 60 {
 		t.Fatalf("basePhaseSec=%d want 60", basePhaseSec)
@@ -61,7 +61,7 @@ func TestBuildBenchmarkSteadyPlanStandard(t *testing.T) {
 	if phases[len(phases)-1].PlanLabel != "mixed" || phases[len(phases)-1].DurationSec != 300 {
 		t.Fatalf("mixed phase=%+v want duration 300", phases[len(phases)-1])
 	}
-	if benchmarkPlanDurationsCSV(phases) != "60,60,60,60,60,60,300" {
+	if benchmarkPlanDurationsCSV(phases) != "60,60,60,60,300" {
 		t.Fatalf("durations=%q", benchmarkPlanDurationsCSV(phases))
 	}
 }
@@ -80,7 +80,7 @@ func TestBuildBenchmarkSteadyPlanStability(t *testing.T) {
 	if mixedPhaseSec != 3600 {
 		t.Fatalf("mixedPhaseSec=%d want 3600", mixedPhaseSec)
 	}
-	if benchmarkPlanDurationsCSV(phases) != "300,300,300,300,300,300,3600" {
+	if benchmarkPlanDurationsCSV(phases) != "300,300,300,300,3600" {
 		t.Fatalf("durations=%q", benchmarkPlanDurationsCSV(phases))
 	}
 }
@@ -99,7 +99,7 @@ func TestBuildBenchmarkSteadyPlanOvernight(t *testing.T) {
 	if mixedPhaseSec != 14400 {
 		t.Fatalf("mixedPhaseSec=%d want 14400", mixedPhaseSec)
 	}
-	if benchmarkPlanDurationsCSV(phases) != "3600,3600,3600,3600,3600,3600,14400" {
+	if benchmarkPlanDurationsCSV(phases) != "3600,3600,3600,3600,14400" {
 		t.Fatalf("durations=%q", benchmarkPlanDurationsCSV(phases))
 	}
 }
@@ -133,10 +133,10 @@ func TestSplitBenchmarkRowsByPlannedPhaseUsesPhaseDurations(t *testing.T) {
 func TestBenchmarkSupportedPrecisionsSkipsFP4BeforeBlackwell(t *testing.T) {
 	t.Parallel()

-	if got := benchmarkSupportedPrecisions("9.0"); strings.Join(got, ",") != "int8,fp8,fp16,fp32,fp64" {
+	if got := benchmarkSupportedPrecisions("9.0"); strings.Join(got, ",") != "int8,fp8,fp16,fp32" {
 		t.Fatalf("supported=%v", got)
 	}
-	if got := benchmarkSupportedPrecisions("10.0"); strings.Join(got, ",") != "int8,fp8,fp16,fp32,fp64,fp4" {
+	if got := benchmarkSupportedPrecisions("10.0"); strings.Join(got, ",") != "int8,fp8,fp16,fp32" {
 		t.Fatalf("supported=%v", got)
 	}
 }
@@ -314,6 +314,30 @@ func TestRenderBenchmarkReportListsUnifiedArtifacts(t *testing.T) {
 	}
 }

+func TestScoreBenchmarkGPUIgnoresDisabledPrecisions(t *testing.T) {
+	t.Parallel()
+
+	score := scoreBenchmarkGPUResult(BenchmarkGPUResult{
+		PrecisionSteady: []BenchmarkPrecisionSteadyPhase{
+			{Precision: "fp16", WeightedTeraOpsPerSec: 100},
+			{Precision: "fp64", WeightedTeraOpsPerSec: 999},
+			{Precision: "fp4", WeightedTeraOpsPerSec: 999},
+		},
+		PrecisionResults: []BenchmarkPrecisionResult{
+			{Category: "fp32_tf32", Supported: true, WeightedTeraOpsPerSec: 50},
+			{Category: "fp64", Supported: true, WeightedTeraOpsPerSec: 999},
+			{Category: "fp4", Supported: true, WeightedTeraOpsPerSec: 999},
+		},
+	})
+
+	if score.SyntheticScore != 100 {
+		t.Fatalf("SyntheticScore=%f want 100", score.SyntheticScore)
+	}
+	if score.MixedScore != 50 {
+		t.Fatalf("MixedScore=%f want 50", score.MixedScore)
+	}
+}
+
 func TestEnrichGPUInfoWithMaxClocks(t *testing.T) {
 	t.Parallel()

--- a/audit/internal/platform/benchmark_types.go
+++ b/audit/internal/platform/benchmark_types.go
@@ -31,6 +31,7 @@ type BenchmarkCoolingSummary struct {
 	Available             bool     `json:"available"`
 	AvgFanRPM             float64  `json:"avg_fan_rpm,omitempty"`
 	FanDutyCycleAvailable bool     `json:"fan_duty_cycle_available,omitempty"`
+	FanDutyCycleEstimated bool     `json:"fan_duty_cycle_estimated,omitempty"`
 	AvgFanDutyCyclePct    float64  `json:"avg_fan_duty_cycle_pct,omitempty"`
 	P95FanDutyCyclePct    float64  `json:"p95_fan_duty_cycle_pct,omitempty"`
 	Notes                 []string `json:"notes,omitempty"`
@@ -55,27 +56,32 @@ type NvidiaBenchmarkOptions struct {
 }

 type NvidiaBenchmarkResult struct {
-	BenchmarkVersion   string                       `json:"benchmark_version"`
-	GeneratedAt        time.Time                    `json:"generated_at"`
-	Hostname           string                       `json:"hostname,omitempty"`
-	ServerModel        string                       `json:"server_model,omitempty"`
-	BenchmarkProfile   string                       `json:"benchmark_profile"`
-	ParallelGPUs       bool                         `json:"parallel_gpus,omitempty"`
-	RampStep           int                          `json:"ramp_step,omitempty"`
-	RampTotal          int                          `json:"ramp_total,omitempty"`
-	RampRunID          string                       `json:"ramp_run_id,omitempty"`
-	ScalabilityScore   float64                      `json:"scalability_score,omitempty"`
-	OverallStatus      string                       `json:"overall_status"`
-	SelectedGPUIndices []int                        `json:"selected_gpu_indices"`
-	Findings           []string                     `json:"findings,omitempty"`
-	Warnings           []string                     `json:"warnings,omitempty"`
-	Normalization      BenchmarkNormalization       `json:"normalization"`
-	HostConfig         *BenchmarkHostConfig         `json:"host_config,omitempty"`
-	CPULoad            *BenchmarkCPULoad            `json:"cpu_load,omitempty"`
-	Cooling            *BenchmarkCoolingSummary     `json:"cooling,omitempty"`
-	GPUs               []BenchmarkGPUResult         `json:"gpus"`
-	Interconnect       *BenchmarkInterconnectResult `json:"interconnect,omitempty"`
-	ServerPower        *BenchmarkServerPower        `json:"server_power,omitempty"`
+	BenchmarkVersion string    `json:"benchmark_version"`
+	GeneratedAt      time.Time `json:"generated_at"`
+	Hostname         string    `json:"hostname,omitempty"`
+	ServerModel      string    `json:"server_model,omitempty"`
+	BenchmarkProfile string    `json:"benchmark_profile"`
+	ParallelGPUs     bool      `json:"parallel_gpus,omitempty"`
+	RampStep         int       `json:"ramp_step,omitempty"`
+	RampTotal        int       `json:"ramp_total,omitempty"`
+	RampRunID        string    `json:"ramp_run_id,omitempty"`
+	ScalabilityScore float64   `json:"scalability_score,omitempty"`
+	// PlatformPowerScore is the mean compute scalability across ramp steps 2..N.
+	// 100% = each added GPU contributes exactly its single-card throughput.
+	// < 100% = throughput loss due to thermal throttle, power limits, or contention.
+	PlatformPowerScore   float64                      `json:"platform_power_score,omitempty"`
+	PerformanceRampSteps []NvidiaPerformanceRampStep  `json:"performance_ramp_steps,omitempty"`
+	OverallStatus        string                       `json:"overall_status"`
+	SelectedGPUIndices   []int                        `json:"selected_gpu_indices"`
+	Findings             []string                     `json:"findings,omitempty"`
+	Warnings             []string                     `json:"warnings,omitempty"`
+	Normalization        BenchmarkNormalization       `json:"normalization"`
+	HostConfig           *BenchmarkHostConfig         `json:"host_config,omitempty"`
+	CPULoad              *BenchmarkCPULoad            `json:"cpu_load,omitempty"`
+	Cooling              *BenchmarkCoolingSummary     `json:"cooling,omitempty"`
+	GPUs                 []BenchmarkGPUResult         `json:"gpus"`
+	Interconnect         *BenchmarkInterconnectResult `json:"interconnect,omitempty"`
+	ServerPower          *BenchmarkServerPower        `json:"server_power,omitempty"`
 }

 type BenchmarkNormalization struct {
@@ -107,6 +113,12 @@ type BenchmarkGPUResult struct {
 	PowerLimitDerated   bool    `json:"power_limit_derated,omitempty"`
 	MultiprocessorCount int     `json:"multiprocessor_count,omitempty"`
 	DefaultPowerLimitW  float64 `json:"default_power_limit_w,omitempty"`
+	// ShutdownTempC is the hardware thermal shutdown threshold for this GPU,
+	// sourced from nvidia-smi -q ("GPU Shutdown Temp"). Fallback: 90°C.
+	ShutdownTempC float64 `json:"shutdown_temp_c,omitempty"`
+	// SlowdownTempC is the software throttle onset threshold ("GPU Slowdown Temp").
+	// Fallback: 80°C.
+	SlowdownTempC float64 `json:"slowdown_temp_c,omitempty"`
 	// CalibratedPeakPowerW is the p95 power measured during a short
 	// dcgmi targeted_power calibration run before the main benchmark.
 	// Used as the reference denominator for PowerSustainScore instead of
@@ -206,9 +218,30 @@ type BenchmarkScorecard struct {
 	MixedEfficiency     float64 `json:"mixed_efficiency,omitempty"`
 	PowerSustainScore   float64 `json:"power_sustain_score"`
 	ThermalSustainScore float64 `json:"thermal_sustain_score"`
-	StabilityScore      float64 `json:"stability_score"`
-	InterconnectScore   float64 `json:"interconnect_score"`
-	CompositeScore      float64 `json:"composite_score"`
+	// StabilityScore: fraction of steady-state time the GPU spent throttling
+	// (thermal + power cap combined). 0% throttle = 100; 100% throttle = 0.
+	StabilityScore float64 `json:"stability_score"`
+
+	// Throttle breakdown — percentage of steady-state time in each throttle type.
+	// Used for diagnosis: tells WHY the GPU throttled, not just whether it did.
+	ThermalThrottlePct   float64 `json:"thermal_throttle_pct"`   // HW+SW thermal slowdown
+	PowerCapThrottlePct  float64 `json:"power_cap_throttle_pct"` // SW power cap
+	SyncBoostThrottlePct float64 `json:"sync_boost_throttle_pct,omitempty"`
+
+	// Temperature headroom: distance to the 100°C destruction threshold.
+	// TempHeadroomC = 100 - P95TempC. < 20°C = warning; < 10°C = critical.
+	// Independent of throttle — a GPU at 86°C without throttle is still in the red zone.
+	TempHeadroomC float64 `json:"temp_headroom_c"`
+
+	InterconnectScore float64 `json:"interconnect_score"`
+	// ServerQualityScore (0–100) reflects server infrastructure quality independent
+	// of GPU model. Combines throttle time, power variance, and temp variance.
+	// Use this to compare servers with the same GPU, or to flag a bad server
+	// that throttles an otherwise fast GPU.
+	ServerQualityScore float64 `json:"server_quality_score"`
+	// CompositeScore is the raw compute score (TOPS, fp32-equivalent).
+	// A throttling GPU will score lower here automatically — no quality multiplier.
+	CompositeScore float64 `json:"composite_score"`
 	// TOPSPerSMPerGHz is compute efficiency independent of clock speed and SM count.
 	TOPSPerSMPerGHz float64 `json:"tops_per_sm_per_ghz,omitempty"`
 }
@@ -265,16 +298,31 @@ type NvidiaPowerBenchResult struct {
 	RecommendedSlotOrder []int                  `json:"recommended_slot_order,omitempty"`
 	RampSteps            []NvidiaPowerBenchStep `json:"ramp_steps,omitempty"`
 	OverallStatus        string                 `json:"overall_status"`
-	Findings             []string               `json:"findings,omitempty"`
-	GPUs                 []NvidiaPowerBenchGPU  `json:"gpus"`
+	// PlatformMaxTDPW is the sum of per-GPU stable power limits found during the
+	// cumulative thermal ramp. Represents the actual sustained power budget of
+	// this server under full GPU load. Use for rack power planning.
+	PlatformMaxTDPW float64 `json:"platform_max_tdp_w"`
+	// ServerPower captures IPMI server power delta (idle→loaded) measured in
+	// parallel with the thermal ramp. Use to compare GPU-reported TDP against
+	// actual wall-power draw as seen by the server's power supply.
+	ServerPower *BenchmarkServerPower `json:"server_power,omitempty"`
+	Findings    []string              `json:"findings,omitempty"`
+	GPUs        []NvidiaPowerBenchGPU `json:"gpus"`
 }

 type NvidiaPowerBenchGPU struct {
-	Index               int      `json:"index"`
-	Name                string   `json:"name,omitempty"`
-	BusID               string   `json:"bus_id,omitempty"`
-	DefaultPowerLimitW  float64  `json:"default_power_limit_w,omitempty"`
-	AppliedPowerLimitW  float64  `json:"applied_power_limit_w,omitempty"`
+	Index              int     `json:"index"`
+	Name               string  `json:"name,omitempty"`
+	BusID              string  `json:"bus_id,omitempty"`
+	DefaultPowerLimitW float64 `json:"default_power_limit_w,omitempty"`
+	// AppliedPowerLimitW is the stable limit found during single-card calibration.
+	AppliedPowerLimitW float64 `json:"applied_power_limit_w,omitempty"`
+	// StablePowerLimitW is the final fixed limit for this GPU after the
+	// cumulative thermal ramp. This is the limit at which the GPU operated
+	// stably with all other GPUs running simultaneously at their own limits.
+	// May be lower than AppliedPowerLimitW if multi-GPU thermal load required
+	// additional derating.
+	StablePowerLimitW   float64  `json:"stable_power_limit_w,omitempty"`
 	MaxObservedPowerW   float64  `json:"max_observed_power_w,omitempty"`
 	MaxObservedTempC    float64  `json:"max_observed_temp_c,omitempty"`
 	CalibrationAttempts int      `json:"calibration_attempts,omitempty"`
@@ -283,16 +331,45 @@ type NvidiaPowerBenchGPU struct {
 	Notes               []string `json:"notes,omitempty"`
 	// CoolingWarning mirrors BenchmarkGPUResult.CoolingWarning for the power workflow.
 	CoolingWarning string `json:"cooling_warning,omitempty"`
+	// ServerLoadedW is the IPMI server power reading captured during this
+	// GPU's single-card calibration run. ServerDeltaW = ServerLoadedW − idle.
+	ServerLoadedW float64 `json:"server_loaded_w,omitempty"`
+	ServerDeltaW  float64 `json:"server_delta_w,omitempty"`
+	// Telemetry holds the aggregated stats from the final converged calibration
+	// attempt for this GPU (temperature, power, fan, clock percentiles).
+	Telemetry *BenchmarkTelemetrySummary `json:"telemetry,omitempty"`
 }

 type NvidiaPowerBenchStep struct {
-	StepIndex              int      `json:"step_index"`
-	GPUIndices             []int    `json:"gpu_indices"`
-	TotalObservedPowerW    float64  `json:"total_observed_power_w,omitempty"`
-	AvgObservedPowerW      float64  `json:"avg_observed_power_w,omitempty"`
-	MinPowerRealizationPct float64  `json:"min_power_realization_pct,omitempty"`
-	AvgPowerRealizationPct float64  `json:"avg_power_realization_pct,omitempty"`
-	DeratedGPUCount        int      `json:"derated_gpu_count,omitempty"`
-	Status                 string   `json:"status"`
-	Notes                  []string `json:"notes,omitempty"`
+	StepIndex  int   `json:"step_index"`
+	GPUIndices []int `json:"gpu_indices"`
+	// NewGPUIndex is the GPU whose stable limit was searched in this step.
+	NewGPUIndex int `json:"new_gpu_index"`
+	// NewGPUStableLimitW is the stable power limit found for the new GPU.
+	NewGPUStableLimitW  float64  `json:"new_gpu_stable_limit_w,omitempty"`
+	TotalObservedPowerW float64  `json:"total_observed_power_w,omitempty"`
+	AvgObservedPowerW   float64  `json:"avg_observed_power_w,omitempty"`
+	Derated             bool     `json:"derated,omitempty"`
+	Status              string   `json:"status"`
+	Notes               []string `json:"notes,omitempty"`
+	// ServerLoadedW is the IPMI server power reading captured during this
+	// ramp step's calibration run. ServerDeltaW = ServerLoadedW − idle.
+	ServerLoadedW float64 `json:"server_loaded_w,omitempty"`
+	ServerDeltaW  float64 `json:"server_delta_w,omitempty"`
+}
+
+// NvidiaPerformanceRampStep holds per-step performance data for the
+// scalability ramp-up phase of the performance benchmark.
+type NvidiaPerformanceRampStep struct {
+	StepIndex  int   `json:"step_index"`
+	GPUIndices []int `json:"gpu_indices"`
+	// TotalSyntheticTOPS is the sum of per-GPU SyntheticScore (fp32-equivalent
+	// TOPS from dedicated single-precision phases) across all GPUs in this step.
+	TotalSyntheticTOPS float64 `json:"total_synthetic_tops"`
+	TotalMixedTOPS     float64 `json:"total_mixed_tops,omitempty"`
+	// ScalabilityPct = TotalSyntheticTOPS / (k × best_single_gpu_tops) × 100.
+	// 100% = perfect linear scaling. < 100% = thermal/power/interconnect loss.
+	ScalabilityPct float64  `json:"scalability_pct"`
+	Status         string   `json:"status"`
+	Notes          []string `json:"notes,omitempty"`
 }
--- a/audit/internal/platform/gpu_metrics.go
+++ b/audit/internal/platform/gpu_metrics.go
@@ -27,6 +27,7 @@ type GPUMetricRow struct {
 	FanAvgRPM             float64 `json:"fan_avg_rpm,omitempty"`
 	FanDutyCyclePct       float64 `json:"fan_duty_cycle_pct,omitempty"`
 	FanDutyCycleAvailable bool    `json:"fan_duty_cycle_available,omitempty"`
+	FanDutyCycleEstimated bool    `json:"fan_duty_cycle_estimated,omitempty"`
 }

 // sampleGPUMetrics runs nvidia-smi once and returns current metrics for each GPU.
@@ -147,14 +148,18 @@ func sampleAMDGPUMetrics() ([]GPUMetricRow, error) {
 // WriteGPUMetricsCSV writes collected rows as a CSV file.
 func WriteGPUMetricsCSV(path string, rows []GPUMetricRow) error {
 	var b bytes.Buffer
-	b.WriteString("stage,elapsed_sec,gpu_index,temperature_c,usage_pct,mem_usage_pct,power_w,clock_mhz,mem_clock_mhz,fan_avg_rpm,fan_duty_cycle_pct,fan_duty_cycle_available\n")
+	b.WriteString("stage,elapsed_sec,gpu_index,temperature_c,usage_pct,mem_usage_pct,power_w,clock_mhz,mem_clock_mhz,fan_avg_rpm,fan_duty_cycle_pct,fan_duty_cycle_available,fan_duty_cycle_estimated\n")
 	for _, r := range rows {
 		dutyAvail := 0
 		if r.FanDutyCycleAvailable {
 			dutyAvail = 1
 		}
-		fmt.Fprintf(&b, "%s,%.1f,%d,%.1f,%.1f,%.1f,%.1f,%.0f,%.0f,%.0f,%.1f,%d\n",
-			strconv.Quote(strings.TrimSpace(r.Stage)), r.ElapsedSec, r.GPUIndex, r.TempC, r.UsagePct, r.MemUsagePct, r.PowerW, r.ClockMHz, r.MemClockMHz, r.FanAvgRPM, r.FanDutyCyclePct, dutyAvail)
+		dutyEstimated := 0
+		if r.FanDutyCycleEstimated {
+			dutyEstimated = 1
+		}
+		fmt.Fprintf(&b, "%s,%.1f,%d,%.1f,%.1f,%.1f,%.1f,%.0f,%.0f,%.0f,%.1f,%d,%d\n",
+			strconv.Quote(strings.TrimSpace(r.Stage)), r.ElapsedSec, r.GPUIndex, r.TempC, r.UsagePct, r.MemUsagePct, r.PowerW, r.ClockMHz, r.MemClockMHz, r.FanAvgRPM, r.FanDutyCyclePct, dutyAvail, dutyEstimated)
 	}
 	return os.WriteFile(path, b.Bytes(), 0644)
 }
--- a/audit/internal/platform/install_to_ram.go
+++ b/audit/internal/platform/install_to_ram.go
@@ -140,26 +140,56 @@ func (s *System) RunInstallToRAM(ctx context.Context, logFunc func(string)) (ret
 	}

 	squashfsFiles, err := filepath.Glob("/run/live/medium/live/*.squashfs")
-	if err != nil || len(squashfsFiles) == 0 {
-		return fmt.Errorf("no squashfs files found in /run/live/medium/live/")
-	}
-
-	free := freeMemBytes()
-	var needed int64
-	for _, sf := range squashfsFiles {
-		fi, err2 := os.Stat(sf)
-		if err2 != nil {
-			return fmt.Errorf("stat %s: %v", sf, err2)
-		}
-		needed += fi.Size()
-	}
-	const headroom = 256 * 1024 * 1024
-	if free > 0 && needed+headroom > free {
-		return fmt.Errorf("insufficient RAM: need %s, available %s",
-			humanBytes(needed+headroom), humanBytes(free))
-	}
+	sourceAvailable := err == nil && len(squashfsFiles) > 0

 	dstDir := installToRAMDir
+
+	// If the source medium is unavailable, check whether a previous run already
+	// produced a complete copy in RAM. If so, skip the copy phase and proceed
+	// directly to the loop-rebind / bind-mount steps.
+	if !sourceAvailable {
+		copiedFiles, _ := filepath.Glob(filepath.Join(dstDir, "*.squashfs"))
+		if len(copiedFiles) > 0 {
+			log("Source medium not available, but a previous RAM copy was found — resuming from existing copy.")
+			// Proceed to rebind with the already-copied files.
+			for _, dst := range copiedFiles {
+				base := filepath.Base(dst)
+				// Re-associate the loop device that was originally backed by the
+				// source file (now gone); find it by the old source path pattern.
+				srcGuess := "/run/live/medium/live/" + base
+				loopDev, lerr := findLoopForFile(srcGuess)
+				if lerr != nil {
+					log(fmt.Sprintf("Loop device for %s not found (%v) — skipping re-association.", base, lerr))
+					continue
+				}
+				if rerr := reassociateLoopDevice(loopDev, dst); rerr != nil {
+					log(fmt.Sprintf("Warning: could not re-associate %s → %s: %v", loopDev, dst, rerr))
+				} else {
+					log(fmt.Sprintf("Loop device %s now backed by RAM copy.", loopDev))
+				}
+			}
+			goto bindMedium
+		}
+		return fmt.Errorf("no squashfs files found in /run/live/medium/live/ and no prior RAM copy in %s — reconnect the installation medium and retry", dstDir)
+	}
+
+	{
+		free := freeMemBytes()
+		var needed int64
+		for _, sf := range squashfsFiles {
+			fi, err2 := os.Stat(sf)
+			if err2 != nil {
+				return fmt.Errorf("stat %s: %v", sf, err2)
+			}
+			needed += fi.Size()
+		}
+		const headroom = 256 * 1024 * 1024
+		if free > 0 && needed+headroom > free {
+			return fmt.Errorf("insufficient RAM: need %s, available %s",
+				humanBytes(needed+headroom), humanBytes(free))
+		}
+	}
+
 	if state.CopyPresent {
 		log("Removing stale partial RAM copy before retry...")
 	}
@@ -199,6 +229,7 @@ func (s *System) RunInstallToRAM(ctx context.Context, logFunc func(string)) (ret
 		}
 	}

+bindMedium:
 	log("Copying remaining medium files...")
 	if err := cpDir(ctx, "/run/live/medium", dstDir, log); err != nil {
 		log(fmt.Sprintf("Warning: partial copy: %v", err))
--- a/audit/internal/platform/sat.go
+++ b/audit/internal/platform/sat.go
@@ -366,12 +366,14 @@ func (s *System) ResetNvidiaGPU(index int) (string, error) {
 	return string(raw), err
 }

-// RunNCCLTests runs nccl-tests all_reduce_perf across all NVIDIA GPUs.
+// RunNCCLTests runs nccl-tests all_reduce_perf across the selected NVIDIA GPUs.
 // Measures collective communication bandwidth over NVLink/PCIe.
-func (s *System) RunNCCLTests(ctx context.Context, baseDir string, logFunc func(string)) (string, error) {
-	// detect GPU count
-	out, _ := exec.Command("nvidia-smi", "--query-gpu=index", "--format=csv,noheader").Output()
-	gpuCount := len(strings.Split(strings.TrimSpace(string(out)), "\n"))
+func (s *System) RunNCCLTests(ctx context.Context, baseDir string, gpuIndices []int, logFunc func(string)) (string, error) {
+	selected, err := resolveDCGMGPUIndices(gpuIndices)
+	if err != nil {
+		return "", err
+	}
+	gpuCount := len(selected)
 	if gpuCount < 1 {
 		gpuCount = 1
 	}
@@ -380,7 +382,7 @@ func (s *System) RunNCCLTests(ctx context.Context, baseDir string, logFunc func(
 		satJob{name: "02-all-reduce-perf.log", cmd: []string{
 			"all_reduce_perf", "-b", "512M", "-e", "4G", "-f", "2",
 			"-g", strconv.Itoa(gpuCount), "--iters", "20",
-		}},
+		}, env: nvidiaVisibleDevicesEnv(selected)},
 	), logFunc)
 }

@@ -426,6 +428,13 @@ func (s *System) RunNvidiaTargetedPowerPack(ctx context.Context, baseDir string,
 	if err != nil {
 		return "", err
 	}
+	// Kill any lingering nvvs/dcgmi processes from a previous interrupted run
+	// before starting — otherwise dcgmi diag fails with DCGM_ST_IN_USE (-34).
+	if killed := KillTestWorkers(); len(killed) > 0 && logFunc != nil {
+		for _, p := range killed {
+			logFunc(fmt.Sprintf("pre-flight: killed stale worker pid=%d name=%s", p.PID, p.Name))
+		}
+	}
 	return runAcceptancePackCtx(ctx, baseDir, "gpu-nvidia-targeted-power", withNvidiaPersistenceMode(
 		satJob{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
 		satJob{
@@ -443,6 +452,13 @@ func (s *System) RunNvidiaPulseTestPack(ctx context.Context, baseDir string, dur
 	if err != nil {
 		return "", err
 	}
+	// Kill any lingering nvvs/dcgmi processes from a previous interrupted run
+	// before starting — otherwise dcgmi diag fails with DCGM_ST_IN_USE (-34).
+	if killed := KillTestWorkers(); len(killed) > 0 && logFunc != nil {
+		for _, p := range killed {
+			logFunc(fmt.Sprintf("pre-flight: killed stale worker pid=%d name=%s", p.PID, p.Name))
+		}
+	}
 	return runAcceptancePackCtx(ctx, baseDir, "gpu-nvidia-pulse", withNvidiaPersistenceMode(
 		satJob{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
 		satJob{
@@ -460,6 +476,13 @@ func (s *System) RunNvidiaBandwidthPack(ctx context.Context, baseDir string, gpu
 	if err != nil {
 		return "", err
 	}
+	// Kill any lingering nvvs/dcgmi processes from a previous interrupted run
+	// before starting — otherwise dcgmi diag fails with DCGM_ST_IN_USE (-34).
+	if killed := KillTestWorkers(); len(killed) > 0 && logFunc != nil {
+		for _, p := range killed {
+			logFunc(fmt.Sprintf("pre-flight: killed stale worker pid=%d name=%s", p.PID, p.Name))
+		}
+	}
 	return runAcceptancePackCtx(ctx, baseDir, "gpu-nvidia-bandwidth", withNvidiaPersistenceMode(
 		satJob{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
 		satJob{
@@ -552,10 +575,16 @@ func (s *System) RunMemoryAcceptancePack(ctx context.Context, baseDir string, si
 	if passes <= 0 {
 		passes = 1
 	}
-	// Bound memtester with a hard wall-clock timeout: ~2.5 min per 100 MB per
-	// pass, plus a fixed 2-minute buffer. Without this, a stuck memory
-	// controller can cause memtester to spin forever on a single subtest.
-	timeoutSec := sizeMB*passes*150/100 + 120
+	// Keep Validate Memory bounded to a quick diagnostic window. The timeout is
+	// intentionally conservative enough for healthy systems while avoiding the
+	// prior 30-80 minute hangs caused by memtester spinning on a bad subtest.
+	timeoutSec := sizeMB*passes*20/100 + 60
+	if timeoutSec < 180 {
+		timeoutSec = 180
+	}
+	if timeoutSec > 900 {
+		timeoutSec = 900
+	}
 	return runAcceptancePackCtx(ctx, baseDir, "memory", []satJob{
 		{name: "01-free-before.log", cmd: []string{"free", "-h"}},
 		{name: "02-memtester.log", cmd: []string{"timeout", fmt.Sprintf("%d", timeoutSec), "memtester", fmt.Sprintf("%dM", sizeMB), fmt.Sprintf("%d", passes)}},
--- a/audit/internal/platform/sat_fan_stress.go
+++ b/audit/internal/platform/sat_fan_stress.go
@@ -4,6 +4,7 @@ import (
 	"context"
 	"encoding/json"
 	"fmt"
+	"math"
 	"os"
 	"os/exec"
 	"path/filepath"
@@ -56,13 +57,37 @@ type cachedPowerReading struct {
 	UpdatedAt time.Time
 }

+type fanObservationState struct {
+	MaxRPM map[string]float64 `json:"max_rpm"`
+}
+
+type fanPeakCandidate struct {
+	FirstSeen time.Time
+	RPM       float64
+}
+
 var (
 	systemPowerCacheMu sync.Mutex
 	systemPowerCache   cachedPowerReading
+	fanObservationMu   sync.Mutex
+	fanObservation     fanObservationState
+	fanObservationInit bool
+	fanPeakCandidates  = make(map[string]fanPeakCandidate)
 )

 const systemPowerHoldTTL = 15 * time.Second

+var fanObservationStatePath = "/var/log/bee-sat/fan-observation.json"
+
+const fanObservationMinPeakHold = time.Second
+
+func normalizeObservedFanMaxRPM(rpm float64) float64 {
+	if rpm <= 0 {
+		return 0
+	}
+	return math.Ceil(rpm/1000.0) * 1000.0
+}
+
 // RunFanStressTest runs a two-phase GPU stress test while monitoring fan speeds,
 // temperatures, and power draw every second. Exports metrics.csv and fan-sensors.csv.
 // Designed to reproduce case-04 fan-speed lag and detect GPU thermal throttling.
@@ -310,11 +335,13 @@ func sampleFanSpeeds() ([]FanReading, error) {
 	out, err := exec.Command("ipmitool", "sdr", "type", "Fan").Output()
 	if err == nil {
 		if fans := parseFanSpeeds(string(out)); len(fans) > 0 {
+			updateFanObservation(fans, time.Now())
 			return fans, nil
 		}
 	}
 	fans, sensorsErr := sampleFanSpeedsViaSensorsJSON()
 	if len(fans) > 0 {
+		updateFanObservation(fans, time.Now())
 		return fans, nil
 	}
 	if err != nil {
@@ -323,6 +350,119 @@ func sampleFanSpeeds() ([]FanReading, error) {
 	return nil, sensorsErr
 }

+func loadFanObservationLocked() {
+	if fanObservationInit {
+		return
+	}
+	fanObservationInit = true
+	fanObservation.MaxRPM = make(map[string]float64)
+	raw, err := os.ReadFile(fanObservationStatePath)
+	if err != nil || len(raw) == 0 {
+		return
+	}
+	var persisted fanObservationState
+	if json.Unmarshal(raw, &persisted) != nil {
+		return
+	}
+	for name, rpm := range persisted.MaxRPM {
+		name = strings.TrimSpace(name)
+		if name == "" || rpm <= 0 {
+			continue
+		}
+		fanObservation.MaxRPM[name] = rpm
+	}
+}
+
+func saveFanObservationLocked() {
+	if len(fanObservation.MaxRPM) == 0 {
+		return
+	}
+	dir := filepath.Dir(fanObservationStatePath)
+	if dir == "" || dir == "." {
+		dir = "/var/log/bee-sat"
+	}
+	if err := os.MkdirAll(dir, 0755); err != nil {
+		return
+	}
+	raw, err := json.MarshalIndent(fanObservation, "", "  ")
+	if err != nil {
+		return
+	}
+	_ = os.WriteFile(fanObservationStatePath, raw, 0644)
+}
+
+func updateFanObservation(fans []FanReading, now time.Time) {
+	if len(fans) == 0 {
+		return
+	}
+	fanObservationMu.Lock()
+	defer fanObservationMu.Unlock()
+	loadFanObservationLocked()
+	changed := false
+	for _, fan := range fans {
+		name := strings.TrimSpace(fan.Name)
+		if name == "" || fan.RPM <= 0 {
+			continue
+		}
+		currentMax := fanObservation.MaxRPM[name]
+		if fan.RPM <= currentMax {
+			delete(fanPeakCandidates, name)
+			continue
+		}
+		if cand, ok := fanPeakCandidates[name]; ok {
+			if now.Sub(cand.FirstSeen) >= fanObservationMinPeakHold {
+				newMax := math.Max(cand.RPM, fan.RPM)
+				if newMax > currentMax {
+					fanObservation.MaxRPM[name] = normalizeObservedFanMaxRPM(newMax)
+					changed = true
+				}
+				delete(fanPeakCandidates, name)
+				continue
+			}
+			if fan.RPM > cand.RPM {
+				fanPeakCandidates[name] = fanPeakCandidate{FirstSeen: cand.FirstSeen, RPM: fan.RPM}
+			}
+			continue
+		}
+		fanPeakCandidates[name] = fanPeakCandidate{FirstSeen: now, RPM: fan.RPM}
+	}
+	if changed {
+		saveFanObservationLocked()
+	}
+}
+
+func estimateFanDutyCyclePctFromObservation(fans []FanReading) (float64, bool) {
+	if len(fans) == 0 {
+		return 0, false
+	}
+	fanObservationMu.Lock()
+	defer fanObservationMu.Unlock()
+	loadFanObservationLocked()
+	var samples []float64
+	for _, fan := range fans {
+		name := strings.TrimSpace(fan.Name)
+		if name == "" || fan.RPM <= 0 {
+			continue
+		}
+		maxRPM := fanObservation.MaxRPM[name]
+		if maxRPM <= 0 {
+			continue
+		}
+		pct := fan.RPM / maxRPM * 100.0
+		if pct > 100 {
+			pct = 100
+		}
+		if pct < 0 {
+			pct = 0
+		}
+		samples = append(samples, pct)
+	}
+	if len(samples) == 0 {
+		return 0, false
+	}
+	return benchmarkMean(samples), true
+}
+
 // parseFanSpeeds parses "ipmitool sdr type Fan" output.
 // Handles two formats:
 //
@@ -428,12 +568,27 @@ func sampleFanSpeedsViaSensorsJSON() ([]FanReading, error) {

 // sampleFanDutyCyclePct reads fan PWM/duty-cycle controls from lm-sensors.
 // Returns the average duty cycle across all exposed PWM controls.
-func sampleFanDutyCyclePct() (float64, bool) {
+func sampleFanDutyCyclePct() (float64, bool, bool) {
 	out, err := exec.Command("sensors", "-j").Output()
 	if err != nil || len(out) == 0 {
-		return 0, false
+		fans, fanErr := sampleFanSpeeds()
+		if fanErr != nil {
+			return 0, false, false
+		}
+		return sampleFanDutyCyclePctFromFans(fans)
 	}
-	return parseFanDutyCyclePctSensorsJSON(out)
+	pct, ok := parseFanDutyCyclePctSensorsJSON(out)
+	return pct, ok, false
+}
+
+func sampleFanDutyCyclePctFromFans(fans []FanReading) (float64, bool, bool) {
+	if len(fans) == 0 {
+		return 0, false, false
+	}
+	if pct, ok := estimateFanDutyCyclePctFromObservation(fans); ok {
+		return pct, true, true
+	}
+	return 0, false, false
 }

 func parseFanDutyCyclePctSensorsJSON(raw []byte) (float64, bool) {
--- a/audit/internal/platform/sat_fan_stress_test.go
+++ b/audit/internal/platform/sat_fan_stress_test.go
@@ -1,6 +1,7 @@
 package platform

 import (
+	"path/filepath"
 	"testing"
 	"time"
 )
@@ -50,6 +51,53 @@ func TestParseFanDutyCyclePctSensorsJSON(t *testing.T) {
 	}
 }

+func TestEstimateFanDutyCyclePctFromObservation(t *testing.T) {
+	t.Parallel()
+
+	oldPath := fanObservationStatePath
+	oldState := fanObservation
+	oldInit := fanObservationInit
+	oldCandidates := fanPeakCandidates
+	fanObservationStatePath = filepath.Join(t.TempDir(), "fan-observation.json")
+	fanObservation = fanObservationState{}
+	fanObservationInit = false
+	fanPeakCandidates = make(map[string]fanPeakCandidate)
+	t.Cleanup(func() {
+		fanObservationStatePath = oldPath
+		fanObservation = oldState
+		fanObservationInit = oldInit
+		fanPeakCandidates = oldCandidates
+	})
+
+	start := time.Unix(100, 0)
+	updateFanObservation([]FanReading{{Name: "FAN1", RPM: 5000}}, start)
+	if _, ok := estimateFanDutyCyclePctFromObservation([]FanReading{{Name: "FAN1", RPM: 2500}}); ok {
+		t.Fatalf("single-sample spike should not establish observed max")
+	}
+
+	updateFanObservation([]FanReading{{Name: "FAN1", RPM: 5200}}, start.Add(500*time.Millisecond))
+	updateFanObservation([]FanReading{{Name: "FAN1", RPM: 5100}}, start.Add(1500*time.Millisecond))
+
+	got, ok := estimateFanDutyCyclePctFromObservation([]FanReading{{Name: "FAN1", RPM: 2600}})
+	if !ok {
+		t.Fatalf("expected estimated duty cycle from persisted observed max")
+	}
+	if got < 43 || got > 44 {
+		t.Fatalf("got=%v want ~43.3", got)
+	}
+
+	fanObservation = fanObservationState{}
+	fanObservationInit = false
+	fanPeakCandidates = make(map[string]fanPeakCandidate)
+	got, ok = estimateFanDutyCyclePctFromObservation([]FanReading{{Name: "FAN1", RPM: 2600}})
+	if !ok {
+		t.Fatalf("expected persisted observed max to be reloaded from disk")
+	}
+	if got < 43 || got > 44 {
+		t.Fatalf("reloaded got=%v want ~43.3", got)
+	}
+}
+
 func TestParseDCMIPowerReading(t *testing.T) {
 	raw := `
 Instantaneous power reading:                   512 Watts
--- a/audit/internal/platform/sat_test.go
+++ b/audit/internal/platform/sat_test.go
@@ -321,6 +321,19 @@ func TestNvidiaDCGMNamedDiagCommandUsesDurationAndSelection(t *testing.T) {
 	}
 }

+func TestNvidiaDCGMNamedDiagCommandSkipsDurationForNVBandwidth(t *testing.T) {
+	cmd := nvidiaDCGMNamedDiagCommand("nvbandwidth", 0, []int{2, 0})
+	want := []string{"dcgmi", "diag", "-r", "nvbandwidth", "-i", "2,0"}
+	if len(cmd) != len(want) {
+		t.Fatalf("cmd len=%d want %d (%v)", len(cmd), len(want), cmd)
+	}
+	for i := range want {
+		if cmd[i] != want[i] {
+			t.Fatalf("cmd[%d]=%q want %q", i, cmd[i], want[i])
+		}
+	}
+}
+
 func TestNvidiaVisibleDevicesEnvUsesSelectedGPUs(t *testing.T) {
 	env := nvidiaVisibleDevicesEnv([]int{0, 2, 4})
 	if len(env) != 2 {
--- a/audit/internal/webui/api.go
+++ b/audit/internal/webui/api.go
@@ -737,6 +737,9 @@ func (h *handler) handleAPISATAbort(w http.ResponseWriter, r *http.Request) {
 			if t.job != nil {
 				t.job.abort()
 			}
+			if taskMayLeaveOrphanWorkers(t.Target) {
+				platform.KillTestWorkers()
+			}
 			t.Status = TaskCancelled
 			now := time.Now()
 			t.DoneAt = &now
--- a/audit/internal/webui/pages.go
+++ b/audit/internal/webui/pages.go
@@ -72,6 +72,13 @@ tbody tr:hover td{background:rgba(0,0,0,.03)}
 .badge-warn{background:var(--warn-bg);color:var(--warn-fg);border:1px solid #c9ba9b}
 .badge-err{background:var(--crit-bg);color:var(--crit-fg);border:1px solid var(--crit-border)}
 .badge-unknown{background:var(--surface-2);color:var(--muted);border:1px solid var(--border)}
+/* Component chips — one small square per device */
+.chips{display:inline-flex;flex-wrap:wrap;gap:3px;align-items:center;vertical-align:middle}
+.chip{display:inline-flex;align-items:center;justify-content:center;width:20px;height:20px;border-radius:3px;font-size:10px;font-weight:800;cursor:default;font-family:monospace;letter-spacing:0;user-select:none}
+.chip-ok{background:var(--ok-bg);color:var(--ok-fg);border:1px solid #a3c293}
+.chip-warn{background:var(--warn-bg);color:var(--warn-fg);border:1px solid #c9ba9b}
+.chip-fail{background:var(--crit-bg);color:var(--crit-fg);border:1px solid var(--crit-border)}
+.chip-unknown{background:var(--surface-2);color:var(--muted);border:1px solid var(--border)}
 /* Output terminal */
 .terminal{background:#1b1c1d;border:1px solid rgba(0,0,0,.2);border-radius:4px;padding:14px;font-family:monospace;font-size:12px;color:#b5cea8;max-height:400px;overflow-y:auto;white-space:pre-wrap;word-break:break-all;user-select:text;-webkit-user-select:text}
 .terminal-wrap{position:relative}.terminal-copy{position:absolute;top:6px;right:6px;background:#2d2f30;border:1px solid #444;color:#aaa;font-size:11px;padding:2px 8px;border-radius:3px;cursor:pointer;opacity:.7}.terminal-copy:hover{opacity:1}
@@ -363,23 +370,25 @@ func renderHardwareSummaryCard(opts HandlerOptions) string {
 			html.EscapeString(label), html.EscapeString(value), badgeHTML))
 	}

-	cpuRow := aggregateComponentStatus("CPU", records, []string{"cpu:all"}, nil)
-	writeRow("CPU", hwDescribeCPU(hw), runtimeStatusBadge(cpuRow.Status))
+	writeRow("CPU", hwDescribeCPU(hw),
+		renderComponentChips(matchedRecords(records, []string{"cpu:all"}, nil)))

-	memRow := aggregateComponentStatus("Memory", records, []string{"memory:all"}, []string{"memory:"})
-	writeRow("Memory", hwDescribeMemory(hw), runtimeStatusBadge(memRow.Status))
+	writeRow("Memory", hwDescribeMemory(hw),
+		renderComponentChips(matchedRecords(records, []string{"memory:all"}, []string{"memory:"})))

-	storageRow := aggregateComponentStatus("Storage", records, []string{"storage:all"}, []string{"storage:"})
-	writeRow("Storage", hwDescribeStorage(hw), runtimeStatusBadge(storageRow.Status))
+	writeRow("Storage", hwDescribeStorage(hw),
+		renderComponentChips(matchedRecords(records, []string{"storage:all"}, []string{"storage:"})))

-	gpuRow := aggregateComponentStatus("GPU", records, nil, []string{"pcie:gpu:"})
-	writeRow("GPU", hwDescribeGPU(hw), runtimeStatusBadge(gpuRow.Status))
+	writeRow("GPU", hwDescribeGPU(hw),
+		renderComponentChips(matchedRecords(records, nil, []string{"pcie:gpu:"})))

-	psuRow := aggregateComponentStatus("PSU", records, nil, []string{"psu:"})
-	if psuRow.Status == "UNKNOWN" && len(hw.PowerSupplies) > 0 {
-		psuRow.Status = hwPSUStatus(hw.PowerSupplies)
+	psuMatched := matchedRecords(records, nil, []string{"psu:"})
+	if len(psuMatched) == 0 && len(hw.PowerSupplies) > 0 {
+		// No PSU records yet — synthesise a single chip from IPMI status.
+		psuStatus := hwPSUStatus(hw.PowerSupplies)
+		psuMatched = []app.ComponentStatusRecord{{ComponentKey: "psu:ipmi", Status: psuStatus}}
 	}
-	writeRow("PSU", hwDescribePSU(hw), runtimeStatusBadge(psuRow.Status))
+	writeRow("PSU", hwDescribePSU(hw), renderComponentChips(psuMatched))

 	if nicDesc := hwDescribeNIC(hw); nicDesc != "" {
 		writeRow("Network", nicDesc, "")
@@ -892,6 +901,31 @@ func buildHardwareComponentRows(exportDir string) []runtimeHealthRow {
 	}
 }

+// matchedRecords returns all ComponentStatusRecord entries whose key matches
+// any exact key or any of the given prefixes. Used for per-device chip rendering.
+func firstNonEmpty(vals ...string) string {
+	for _, v := range vals {
+		if v != "" {
+			return v
+		}
+	}
+	return ""
+}
+
+func matchedRecords(records []app.ComponentStatusRecord, exact []string, prefixes []string) []app.ComponentStatusRecord {
+	var matched []app.ComponentStatusRecord
+	for _, rec := range records {
+		key := strings.TrimSpace(rec.ComponentKey)
+		if key == "" {
+			continue
+		}
+		if containsExactKey(key, exact) || hasAnyPrefix(key, prefixes) {
+			matched = append(matched, rec)
+		}
+	}
+	return matched
+}
+
 func aggregateComponentStatus(title string, records []app.ComponentStatusRecord, exact []string, prefixes []string) runtimeHealthRow {
 	matched := make([]app.ComponentStatusRecord, 0)
 	for _, rec := range records {
@@ -1034,6 +1068,52 @@ func runtimeIssueDescriptions(issues []schema.RuntimeIssue, codes ...string) str
 	return strings.Join(messages, "; ")
 }

+// chipLetterClass maps a component status to a single display letter and CSS class.
+func chipLetterClass(status string) (letter, cls string) {
+	switch strings.ToUpper(strings.TrimSpace(status)) {
+	case "OK":
+		return "O", "chip-ok"
+	case "WARNING", "WARN", "PARTIAL":
+		return "W", "chip-warn"
+	case "CRITICAL", "FAIL", "FAILED", "ERROR":
+		return "F", "chip-fail"
+	default:
+		return "?", "chip-unknown"
+	}
+}
+
+// renderComponentChips renders one 20×20 chip per ComponentStatusRecord.
+// Hover tooltip shows component key, status, error summary and last check time.
+// Falls back to a single unknown chip when no records are available.
+func renderComponentChips(matched []app.ComponentStatusRecord) string {
+	if len(matched) == 0 {
+		return `<span class="chips"><span class="chip chip-unknown" title="No data">?</span></span>`
+	}
+	sort.Slice(matched, func(i, j int) bool {
+		return matched[i].ComponentKey < matched[j].ComponentKey
+	})
+	var b strings.Builder
+	b.WriteString(`<span class="chips">`)
+	for _, rec := range matched {
+		letter, cls := chipLetterClass(rec.Status)
+		var tooltip strings.Builder
+		tooltip.WriteString(rec.ComponentKey)
+		tooltip.WriteString(": ")
+		tooltip.WriteString(firstNonEmpty(rec.Status, "UNKNOWN"))
+		if rec.ErrorSummary != "" {
+			tooltip.WriteString(" — ")
+			tooltip.WriteString(rec.ErrorSummary)
+		}
+		if !rec.LastCheckedAt.IsZero() {
+			fmt.Fprintf(&tooltip, " (checked %s)", rec.LastCheckedAt.Format("15:04:05"))
+		}
+		fmt.Fprintf(&b, `<span class="chip %s" title="%s">%s</span>`,
+			cls, html.EscapeString(tooltip.String()), letter)
+	}
+	b.WriteString(`</span>`)
+	return b.String()
+}
+
 func runtimeStatusBadge(status string) string {
 	status = strings.ToUpper(strings.TrimSpace(status))
 	badge := "badge-unknown"
@@ -1339,7 +1419,7 @@ func renderValidate(opts HandlerOptions) string {
 			inv.Memory,
 			`Runs a RAM validation pass and records memory state around the test.`,
 			`<code>free</code>, <code>memtester</code>`,
-			`256 MB / 1 pass in Validate, 1 GB / 3 passes in Stress.`,
+			`256 MB / 1 pass in Validate, 512 MB / 1 pass in Stress.`,
 		)) +
 		renderSATCard("storage", "Storage", "runSAT('storage')", "", renderValidateCardBody(
 			inv.Storage,
@@ -1401,7 +1481,7 @@ func renderValidate(opts HandlerOptions) string {
 			inv.NVIDIA,
 			`Verifies NVLink/NVSwitch fabric bandwidth using NCCL all_reduce_perf across all selected GPUs. Pass/fail based on achieved bandwidth vs. theoretical.`,
 			`<code>all_reduce_perf</code> (NCCL tests)`,
-			`Skipped in Validate mode. Runs in Stress mode only. Runs across all selected GPUs simultaneously (requires ≥2).<p id="sat-ni-mode-hint" style="color:var(--warn-fg);font-size:12px;margin:8px 0 0">Only runs in Stress mode. Switch mode above to enable in Run All.</p>`,
+			`Runs in Validate and Stress. Uses all selected GPUs simultaneously (requires ≥2) and is kept short so it fits the Validate flow.`,
 		)) +
 		`</div>` +
 		`<div id="sat-card-nvidia-bandwidth">` +
@@ -1409,7 +1489,7 @@ func renderValidate(opts HandlerOptions) string {
 			inv.NVIDIA,
 			`Validates GPU memory copy and peer-to-peer bandwidth paths using NVBandwidth.`,
 			`<code>nvbandwidth</code>`,
-			`Skipped in Validate mode. Runs in Stress mode only. Runs across all selected GPUs simultaneously.<p id="sat-nb-mode-hint" style="color:var(--warn-fg);font-size:12px;margin:8px 0 0">Only runs in Stress mode. Switch mode above to enable in Run All.</p>`,
+			`Runs in Validate and Stress across all selected GPUs simultaneously. Intended to stay short enough for Validate.`,
 		)) +
 		`</div>` +
 		`</div>
@@ -1447,8 +1527,6 @@ function satModeChanged() {
    {card: 'sat-card-nvidia-targeted-stress', hint: 'sat-ts-mode-hint'},
    {card: 'sat-card-nvidia-targeted-power',  hint: 'sat-tp-mode-hint'},
    {card: 'sat-card-nvidia-pulse',           hint: 'sat-pt-mode-hint'},
-    {card: 'sat-card-nvidia-interconnect',    hint: 'sat-ni-mode-hint'},
-    {card: 'sat-card-nvidia-bandwidth',       hint: 'sat-nb-mode-hint'},
  ].forEach(function(item) {
    const card = document.getElementById(item.card);
    if (card) {
@@ -1696,7 +1774,7 @@ function runAllSAT() {
  const cycles = 1;
  const status = document.getElementById('sat-all-status');
  status.textContent = 'Enqueuing...';
-  const stressOnlyTargets = ['nvidia-targeted-stress', 'nvidia-targeted-power', 'nvidia-pulse', 'nvidia-interconnect', 'nvidia-bandwidth'];
+  const stressOnlyTargets = ['nvidia-targeted-stress', 'nvidia-targeted-power', 'nvidia-pulse'];
  const baseTargets = ['nvidia','nvidia-targeted-stress','nvidia-targeted-power','nvidia-pulse','nvidia-interconnect','nvidia-bandwidth','memory','storage','cpu'].concat(selectedAMDValidateTargets());
  const activeTargets = baseTargets.filter(target => {
    if (stressOnlyTargets.indexOf(target) >= 0 && !satStressMode()) return false;
@@ -1936,9 +2014,11 @@ func renderSATCard(id, label, runAction, headerActions, body string) string {
 // ── Benchmark ─────────────────────────────────────────────────────────────────

 type benchmarkHistoryRun struct {
-	generatedAt time.Time
-	displayTime string
-	gpuScores   map[int]float64 // GPU index → composite score
+	generatedAt  time.Time
+	displayTime  string
+	gpuScores    map[int]float64 // GPU index → composite score
+	gpuStatuses  map[int]string  // GPU index → status ("OK", "WARNING", "FAILED", …)
+	overallStatus string
 }

 func renderBenchmark(opts HandlerOptions) string {
@@ -2002,7 +2082,7 @@ func renderBenchmark(opts HandlerOptions) string {
  </div>
 </div>

-`+`<div id="benchmark-results-section">`+renderBenchmarkResultsCard(opts.ExportDir)+`</div>`+`
+` + `<div id="benchmark-results-section">` + renderBenchmarkResultsCard(opts.ExportDir) + `</div>` + `

 <div id="benchmark-output" style="display:none;margin-top:16px" class="card">
  <div class="card-head">Benchmark Output <span id="benchmark-title"></span></div>
@@ -2246,7 +2326,7 @@ func renderBenchmarkResultsCardFromRuns(title, description, emptyMessage string,
 		b.WriteString(`<p style="color:var(--muted);font-size:13px;margin-bottom:12px">` + html.EscapeString(description) + `</p>`)
 	}
 	b.WriteString(`<div style="overflow-x:auto">`)
-	b.WriteString(`<table><thead><tr><th>Run</th><th>Time</th>`)
+	b.WriteString(`<table><thead><tr><th>Run</th><th>Time</th><th>Status</th>`)
 	for i := 0; i <= maxGPUIndex; i++ {
 		b.WriteString(`<th>GPU ` + strconv.Itoa(i) + `</th>`)
 	}
@@ -2255,13 +2335,36 @@ func renderBenchmarkResultsCardFromRuns(title, description, emptyMessage string,
 		b.WriteString(`<tr>`)
 		b.WriteString(`<td>#` + strconv.Itoa(i+1) + `</td>`)
 		b.WriteString(`<td>` + html.EscapeString(run.displayTime) + `</td>`)
+		overallColor := "var(--ok)"
+		overallLabel := run.overallStatus
+		if overallLabel == "" {
+			overallLabel = "OK"
+		}
+		if overallLabel == "FAILED" {
+			overallColor = "var(--crit-fg,#9f3a38)"
+		} else if overallLabel != "OK" {
+			overallColor = "var(--warn)"
+		}
+		b.WriteString(`<td style="color:` + overallColor + `;font-weight:600">` + html.EscapeString(overallLabel) + `</td>`)
 		for idx := 0; idx <= maxGPUIndex; idx++ {
 			score, ok := run.gpuScores[idx]
 			if !ok {
 				b.WriteString(`<td style="color:var(--muted)">-</td>`)
 				continue
 			}
-			b.WriteString(`<td>` + fmt.Sprintf("%.2f", score) + `</td>`)
+			gpuStatus := run.gpuStatuses[idx]
+			scoreColor := ""
+			switch gpuStatus {
+			case "FAILED":
+				scoreColor = ` style="color:var(--crit-fg,#9f3a38);font-weight:600"`
+			case "WARNING", "PARTIAL":
+				scoreColor = ` style="color:var(--warn);font-weight:600"`
+			case "", "OK":
+				// no override
+			default:
+				scoreColor = ` style="color:var(--warn);font-weight:600"`
+			}
+			b.WriteString(`<td` + scoreColor + `>` + fmt.Sprintf("%.2f", score) + `</td>`)
 		}
 		b.WriteString(`</tr>`)
 	}
@@ -2295,12 +2398,15 @@ func loadBenchmarkHistoryFromPaths(paths []string) (int, []benchmarkHistoryRun)
 			continue
 		}
 		run := benchmarkHistoryRun{
-			generatedAt: result.GeneratedAt,
-			displayTime: result.GeneratedAt.Local().Format("2006-01-02 15:04:05"),
-			gpuScores:   make(map[int]float64),
+			generatedAt:   result.GeneratedAt,
+			displayTime:   result.GeneratedAt.Local().Format("2006-01-02 15:04:05"),
+			gpuScores:     make(map[int]float64),
+			gpuStatuses:   make(map[int]string),
+			overallStatus: result.OverallStatus,
 		}
 		for _, gpu := range result.GPUs {
 			run.gpuScores[gpu.Index] = gpu.Scores.CompositeScore
+			run.gpuStatuses[gpu.Index] = gpu.Status
 			if gpu.Index > maxGPUIndex {
 				maxGPUIndex = gpu.Index
 			}
@@ -2369,31 +2475,45 @@ func renderPowerBenchmarkResultsCard(exportDir string) string {

 	if len(latest.GPUs) > 0 {
 		b.WriteString(`<div style="overflow-x:auto"><table><thead><tr>`)
-		b.WriteString(`<th>GPU</th><th>Model</th><th>Nominal W</th><th>Achieved W</th><th>P95 Observed W</th><th>Status</th>`)
+		b.WriteString(`<th>GPU</th><th>Model</th><th>Nominal W</th><th>Single-card W</th><th>Multi-GPU W</th><th>P95 Observed W</th><th>Status</th>`)
 		b.WriteString(`</tr></thead><tbody>`)
 		for _, gpu := range latest.GPUs {
-			derated := gpu.Derated || (gpu.DefaultPowerLimitW > 0 && gpu.AppliedPowerLimitW < gpu.DefaultPowerLimitW-1)
+			// finalLimitW is the definitive TDP: multi-GPU stable limit from the ramp,
+			// falling back to single-card applied limit if the ramp hasn't run.
+			finalLimitW := gpu.StablePowerLimitW
+			if finalLimitW <= 0 {
+				finalLimitW = gpu.AppliedPowerLimitW
+			}
+			// Derate is relative to nominal (DefaultPowerLimitW), using the final limit.
+			derated := gpu.Derated ||
+				(gpu.DefaultPowerLimitW > 0 && finalLimitW > 0 && finalLimitW < gpu.DefaultPowerLimitW-1)
 			rowStyle := ""
-			achievedStyle := ""
+			finalStyle := ""
 			if derated {
 				rowStyle = ` style="background:rgba(255,180,0,0.08)"`
-				achievedStyle = ` style="color:#e6a000;font-weight:600"`
+				finalStyle = ` style="color:#e6a000;font-weight:600"`
 			}
 			statusLabel := gpu.Status
 			if statusLabel == "" {
 				statusLabel = "OK"
 			}
 			statusColor := "var(--ok)"
-			if statusLabel != "OK" {
+			if statusLabel == "FAILED" {
+				statusColor = "var(--crit-fg,#9f3a38)"
+			} else if statusLabel != "OK" {
 				statusColor = "var(--warn)"
 			}
 			nominalStr := "-"
 			if gpu.DefaultPowerLimitW > 0 {
 				nominalStr = fmt.Sprintf("%.0f", gpu.DefaultPowerLimitW)
 			}
-			achievedStr := "-"
+			singleStr := "-"
 			if gpu.AppliedPowerLimitW > 0 {
-				achievedStr = fmt.Sprintf("%.0f", gpu.AppliedPowerLimitW)
+				singleStr = fmt.Sprintf("%.0f", gpu.AppliedPowerLimitW)
+			}
+			multiStr := "-"
+			if gpu.StablePowerLimitW > 0 {
+				multiStr = fmt.Sprintf("%.0f", gpu.StablePowerLimitW)
 			}
 			p95Str := "-"
 			if gpu.MaxObservedPowerW > 0 {
@@ -2403,7 +2523,8 @@ func renderPowerBenchmarkResultsCard(exportDir string) string {
 			b.WriteString(`<td>` + strconv.Itoa(gpu.Index) + `</td>`)
 			b.WriteString(`<td>` + html.EscapeString(gpu.Name) + `</td>`)
 			b.WriteString(`<td>` + nominalStr + `</td>`)
-			b.WriteString(`<td` + achievedStyle + `>` + achievedStr + `</td>`)
+			b.WriteString(`<td>` + singleStr + `</td>`)
+			b.WriteString(`<td` + finalStyle + `>` + multiStr + `</td>`)
 			b.WriteString(`<td>` + p95Str + `</td>`)
 			b.WriteString(`<td style="color:` + statusColor + `;font-weight:600">` + html.EscapeString(statusLabel) + `</td>`)
 			b.WriteString(`</tr>`)
@@ -2437,7 +2558,7 @@ func renderPowerBenchmarkResultsCard(exportDir string) string {

 func renderBurn() string {
 	return `<div class="alert alert-warn" style="margin-bottom:16px"><strong>&#9888; Warning:</strong> Stress tests on this page run hardware at high load. Repeated or prolonged use may reduce hardware lifespan. Use only when necessary.</div>
-<div class="alert alert-info" style="margin-bottom:16px"><strong>Scope:</strong> DCGM diagnostics (` + "targeted_stress, targeted_power, pulse_test" + `), NCCL, NVBandwidth, and LINPACK remain in <a href="/validate">Validate → Stress mode</a>. Burn exposes sustained GPU compute load recipes.</div>
+<div class="alert alert-info" style="margin-bottom:16px"><strong>Scope:</strong> Burn exposes sustained GPU compute load recipes. DCGM diagnostics (` + "targeted_stress, targeted_power, pulse_test" + `) and LINPACK remain in <a href="/validate">Validate → Stress mode</a>; NCCL and NVBandwidth are available directly from <a href="/validate">Validate</a>.</div>
 <p style="color:var(--muted);font-size:13px;margin-bottom:16px">Tasks continue in the background — view progress in <a href="/tasks">Tasks</a>.</p>

 <div class="card" style="margin-bottom:16px">
--- a/audit/internal/webui/server_test.go
+++ b/audit/internal/webui/server_test.go
@@ -744,6 +744,26 @@ func TestValidatePageRendersNvidiaTargetedStressCard(t *testing.T) {
 	}
 }

+func TestValidatePageRendersNvidiaFabricCardsInValidateMode(t *testing.T) {
+	handler := NewHandler(HandlerOptions{})
+	rec := httptest.NewRecorder()
+	handler.ServeHTTP(rec, httptest.NewRequest(http.MethodGet, "/validate", nil))
+	if rec.Code != http.StatusOK {
+		t.Fatalf("status=%d", rec.Code)
+	}
+	body := rec.Body.String()
+	for _, needle := range []string{
+		`NVIDIA Interconnect (NCCL)`,
+		`Runs in Validate and Stress.`,
+		`NVIDIA Bandwidth (NVBandwidth)`,
+		`Intended to stay short enough for Validate.`,
+	} {
+		if !strings.Contains(body, needle) {
+			t.Fatalf("validate page missing %q: %s", needle, body)
+		}
+	}
+}
+
 func TestBurnPageRendersGoalBasedNVIDIACards(t *testing.T) {
 	handler := NewHandler(HandlerOptions{})
 	rec := httptest.NewRecorder()
--- a/audit/internal/webui/tasks.go
+++ b/audit/internal/webui/tasks.go
@@ -162,6 +162,32 @@ type nvidiaRampSpec struct {
 	TotalDurationSec int
 }

+func resolveMemoryValidatePreset(profile string, stress bool) (sizeMB, passes int) {
+	switch strings.TrimSpace(strings.ToLower(profile)) {
+	case "overnight":
+		return 1024, 2
+	case "acceptance":
+		return 1024, 1
+	case "smoke":
+		return 256, 1
+	}
+	if stress {
+		return 512, 1
+	}
+	return 256, 1
+}
+
+func taskMayLeaveOrphanWorkers(target string) bool {
+	switch strings.TrimSpace(strings.ToLower(target)) {
+	case "nvidia", "nvidia-targeted-stress", "nvidia-targeted-power", "nvidia-pulse",
+		"nvidia-bandwidth", "nvidia-stress", "nvidia-compute", "nvidia-bench-perf",
+		"memory", "memory-stress", "cpu", "sat-stress", "platform-stress":
+		return true
+	default:
+		return false
+	}
+}
+
 func resolveBurnPreset(profile string) burnPreset {
 	switch profile {
 	case "overnight":
@@ -587,8 +613,9 @@ func (q *taskQueue) runTask(t *Task, j *jobState, ctx context.Context) {
 	}
 	a := q.opts.App

+	recovered := len(j.lines) > 0
 	j.append(fmt.Sprintf("Starting %s...", t.Name))
-	if len(j.lines) > 0 {
+	if recovered {
 		j.append(fmt.Sprintf("Recovered after bee-web restart at %s", time.Now().UTC().Format(time.RFC3339)))
 	}

@@ -710,15 +737,7 @@ func (q *taskQueue) runTask(t *Task, j *jobState, ctx context.Context) {
 			err = fmt.Errorf("app not configured")
 			break
 		}
-		dur := t.params.Duration
-		if t.params.BurnProfile != "" && dur <= 0 {
-			dur = resolveBurnPreset(t.params.BurnProfile).DurationSec
-		}
-		archive, err = runNvidiaStressPackCtx(a, ctx, "", platform.NvidiaStressOptions{
-			DurationSec: dur,
-			Loader:      platform.NvidiaStressLoaderNCCL,
-			GPUIndices:  t.params.GPUIndices,
-		}, j.append)
+		archive, err = a.RunNCCLTests(ctx, "", t.params.GPUIndices, j.append)
 	case "nvidia-stress":
 		if a == nil {
 			err = fmt.Errorf("app not configured")
@@ -751,10 +770,8 @@ func (q *taskQueue) runTask(t *Task, j *jobState, ctx context.Context) {
 			err = fmt.Errorf("app not configured")
 			break
 		}
-		sizeMB, passes := 256, 1
-		if t.params.StressMode {
-			sizeMB, passes = 1024, 3
-		}
+		sizeMB, passes := resolveMemoryValidatePreset(t.params.BurnProfile, t.params.StressMode)
+		j.append(fmt.Sprintf("Memory validate preset: %d MB x %d pass(es)", sizeMB, passes))
 		archive, err = runMemoryAcceptancePackCtx(a, ctx, "", sizeMB, passes, j.append)
 	case "storage":
 		if a == nil {
@@ -1010,6 +1027,9 @@ func (h *handler) handleAPITasksCancelAll(w http.ResponseWriter, _ *http.Request
 			if t.job != nil {
 				t.job.abort()
 			}
+			if taskMayLeaveOrphanWorkers(t.Target) {
+				platform.KillTestWorkers()
+			}
 			t.Status = TaskCancelled
 			t.DoneAt = &now
 			taskSerialEvent(t, "finished with status="+t.Status)
@@ -1037,6 +1057,9 @@ func (h *handler) handleAPITasksKillWorkers(w http.ResponseWriter, _ *http.Reque
 			if t.job != nil {
 				t.job.abort()
 			}
+			if taskMayLeaveOrphanWorkers(t.Target) {
+				platform.KillTestWorkers()
+			}
 			t.Status = TaskCancelled
 			t.DoneAt = &now
 			taskSerialEvent(t, "finished with status="+t.Status)
@@ -1141,10 +1164,13 @@ func (q *taskQueue) loadLocked() {
 		q.assignTaskLogPathLocked(t)
 		if t.Status == TaskRunning {
 			// The task was interrupted by a bee-web restart. Child processes
-			// (e.g. bee-gpu-burn-worker) survive the restart in their own
-			// process groups and cannot be cancelled retroactively. Mark the
-			// task as failed so the user can decide whether to re-run it
-			// rather than blindly re-launching duplicate workers.
+			// (e.g. bee-gpu-burn-worker, dcgmi/nvvs) survive the restart in
+			// their own process groups. Kill any matching stale workers before
+			// marking the task failed so the next GPU test does not inherit a
+			// busy DCGM slot or duplicate workers.
+			if taskMayLeaveOrphanWorkers(t.Target) {
+				_ = platform.KillTestWorkers()
+			}
 			now := time.Now()
 			t.Status = TaskFailed
 			t.DoneAt = &now
--- a/audit/internal/webui/tasks_test.go
+++ b/audit/internal/webui/tasks_test.go
@@ -672,6 +672,36 @@ func TestRunTaskUsesBurnProfileDurationForCPU(t *testing.T) {
 	}
 }

+func TestRunTaskUsesQuickPresetForMemoryValidate(t *testing.T) {
+	var gotSizeMB, gotPasses int
+	q := &taskQueue{
+		opts: &HandlerOptions{App: &app.App{}},
+	}
+	tk := &Task{
+		ID:        "mem-validate-1",
+		Name:      "Memory SAT",
+		Target:    "memory",
+		Status:    TaskRunning,
+		CreatedAt: time.Now(),
+		params:    taskParams{StressMode: true},
+	}
+	j := &jobState{}
+
+	orig := runMemoryAcceptancePackCtx
+	runMemoryAcceptancePackCtx = func(_ *app.App, _ context.Context, _ string, sizeMB, passes int, _ func(string)) (string, error) {
+		gotSizeMB = sizeMB
+		gotPasses = passes
+		return "/tmp/memory-validate.tar.gz", nil
+	}
+	defer func() { runMemoryAcceptancePackCtx = orig }()
+
+	q.runTask(tk, j, context.Background())
+
+	if gotSizeMB != 512 || gotPasses != 1 {
+		t.Fatalf("memory validate preset=%dMB x%d want 512MB x1", gotSizeMB, gotPasses)
+	}
+}
+
 func TestRunTaskBuildsSupportBundleWithoutApp(t *testing.T) {
 	dir := t.TempDir()
 	q := &taskQueue{
--- a/iso/builder/bee-gpu-stress.c
+++ b/iso/builder/bee-gpu-stress.c
@@ -35,6 +35,8 @@ typedef void *CUstream;
 #define MAX_STRESS_STREAMS 16
 #define MIN_PROFILE_BUDGET_BYTES ((size_t)4u * 1024u * 1024u)
 #define MIN_STREAM_BUDGET_BYTES ((size_t)64u * 1024u * 1024u)
+#define MAX_SINGLE_PRECISION_STREAMS 4
+#define MAX_SINGLE_PRECISION_PROFILE_BUDGET_BYTES ((size_t)2u * 1024u * 1024u * 1024u)

 static const char *ptx_source =
    ".version 6.0\n"
@@ -296,6 +298,13 @@ static int choose_stream_count(int mp_count, int planned_profiles, size_t total_
    return stream_count;
 }

+static size_t clamp_single_precision_profile_budget(size_t profile_budget_bytes) {
+    if (profile_budget_bytes > MAX_SINGLE_PRECISION_PROFILE_BUDGET_BYTES) {
+        return MAX_SINGLE_PRECISION_PROFILE_BUDGET_BYTES;
+    }
+    return profile_budget_bytes;
+}
+
 static void destroy_streams(struct cuda_api *api, CUstream *streams, int count) {
    if (!api->cuStreamDestroy) {
        return;
@@ -704,6 +713,19 @@ static const struct profile_desc k_profiles[] = {

 #define PROFILE_COUNT ((int)(sizeof(k_profiles) / sizeof(k_profiles[0])))

+static int profile_allowed_for_run(const struct profile_desc *desc, int cc, const char *precision_filter) {
+    if (!(desc->enabled && cc >= desc->min_cc)) {
+        return 0;
+    }
+    if (precision_filter != NULL) {
+        return strcmp(desc->block_label, precision_filter) == 0;
+    }
+    /* Mixed/all phases intentionally exclude fp64/fp4 for now: both paths are
+     * unstable on the current benchmark fleet and can abort the whole mixed
+     * pass after earlier phases already collected useful telemetry. */
+    return strcmp(desc->block_label, "fp64") != 0 && strcmp(desc->block_label, "fp4") != 0;
+}
+
 static int load_cublaslt(struct cublaslt_api *api) {
    memset(api, 0, sizeof(*api));
    api->lib = dlopen("libcublasLt.so.13", RTLD_NOW | RTLD_LOCAL);
@@ -908,11 +930,9 @@ static int prepare_profile(struct cublaslt_api *cublas,
                           CUstream stream,
                           size_t profile_budget_bytes,
                           struct prepared_profile *out) {
-    memset(out, 0, sizeof(*out));
-    out->desc = *desc;
-    out->stream = stream;
-
    size_t bytes_per_cell = 0;
+    size_t attempt_budget = profile_budget_bytes;
+
    bytes_per_cell += bytes_for_elements(desc->a_type, 1);
    bytes_per_cell += bytes_for_elements(desc->b_type, 1);
    bytes_per_cell += bytes_for_elements(desc->c_type, 1);
@@ -921,106 +941,115 @@ static int prepare_profile(struct cublaslt_api *cublas,
        return 0;
    }

-    uint64_t dim = choose_square_dim(profile_budget_bytes, bytes_per_cell, desc->min_multiple);
-    out->m = dim;
-    out->n = dim;
-    out->k = dim;
+    while (attempt_budget >= MIN_PROFILE_BUDGET_BYTES) {
+        memset(out, 0, sizeof(*out));
+        out->desc = *desc;
+        out->stream = stream;

-    size_t desired_workspace = profile_budget_bytes / 8u;
-    if (desired_workspace > 32u * 1024u * 1024u) {
-        desired_workspace = 32u * 1024u * 1024u;
-    }
-    desired_workspace = round_down_size(desired_workspace, 256u);
+        uint64_t dim = choose_square_dim(attempt_budget, bytes_per_cell, desc->min_multiple);
+        out->m = dim;
+        out->n = dim;
+        out->k = dim;

-    size_t a_bytes = 0;
-    size_t b_bytes = 0;
-    size_t c_bytes = 0;
-    size_t d_bytes = 0;
-    size_t scale_bytes = 0;
-    while (1) {
-        a_bytes = bytes_for_elements(desc->a_type, out->k * out->m);
-        b_bytes = bytes_for_elements(desc->b_type, out->k * out->n);
-        c_bytes = bytes_for_elements(desc->c_type, out->m * out->n);
-        d_bytes = bytes_for_elements(desc->d_type, out->m * out->n);
-        scale_bytes = profile_scale_bytes(desc, out->m, out->n, out->k);
+        size_t desired_workspace = attempt_budget / 8u;
+        if (desired_workspace > 32u * 1024u * 1024u) {
+            desired_workspace = 32u * 1024u * 1024u;
+        }
+        desired_workspace = round_down_size(desired_workspace, 256u);

-        size_t matrix_bytes = a_bytes + b_bytes + c_bytes + d_bytes + scale_bytes;
-        if (matrix_bytes <= profile_budget_bytes) {
-            size_t remaining = profile_budget_bytes - matrix_bytes;
-            out->workspace_size = desired_workspace;
-            if (out->workspace_size > remaining) {
-                out->workspace_size = round_down_size(remaining, 256u);
+        size_t a_bytes = 0;
+        size_t b_bytes = 0;
+        size_t c_bytes = 0;
+        size_t d_bytes = 0;
+        size_t scale_bytes = 0;
+        while (1) {
+            a_bytes = bytes_for_elements(desc->a_type, out->k * out->m);
+            b_bytes = bytes_for_elements(desc->b_type, out->k * out->n);
+            c_bytes = bytes_for_elements(desc->c_type, out->m * out->n);
+            d_bytes = bytes_for_elements(desc->d_type, out->m * out->n);
+            scale_bytes = profile_scale_bytes(desc, out->m, out->n, out->k);
+
+            size_t matrix_bytes = a_bytes + b_bytes + c_bytes + d_bytes + scale_bytes;
+            if (matrix_bytes <= attempt_budget) {
+                size_t remaining = attempt_budget - matrix_bytes;
+                out->workspace_size = desired_workspace;
+                if (out->workspace_size > remaining) {
+                    out->workspace_size = round_down_size(remaining, 256u);
+                }
+                break;
            }
-            break;
+
+            if (out->m <= (uint64_t)desc->min_multiple) {
+                break;
+            }
+            out->m -= (uint64_t)desc->min_multiple;
+            out->n = out->m;
+            out->k = out->m;
+        }
+        if (out->m < (uint64_t)desc->min_multiple) {
+            attempt_budget /= 2u;
+            continue;
        }

-        if (out->m <= (uint64_t)desc->min_multiple) {
-            return 0;
-        }
-        out->m -= (uint64_t)desc->min_multiple;
-        out->n = out->m;
-        out->k = out->m;
-    }
-
-    if (!alloc_filled(cuda, &out->a_dev, a_bytes, 0x11) ||
-        !alloc_filled(cuda, &out->b_dev, b_bytes, 0x11) ||
-        !alloc_filled(cuda, &out->c_dev, c_bytes, 0x00) ||
-        !alloc_filled(cuda, &out->d_dev, d_bytes, 0x00)) {
-        destroy_profile(cublas, cuda, out);
-        return 0;
-    }
-
-    cudaDataType_t scale_type = matmul_scale_type(desc);
-    if (!check_cublas("cublasLtMatmulDescCreate",
-                      cublas->cublasLtMatmulDescCreate(&out->op_desc, desc->compute_type, scale_type))) {
-        destroy_profile(cublas, cuda, out);
-        return 0;
-    }
-
-    cublasOperation_t transa = CUBLAS_OP_T;
-    cublasOperation_t transb = CUBLAS_OP_N;
-    if (!check_cublas("set TRANSA",
-                      cublas->cublasLtMatmulDescSetAttribute(out->op_desc,
-                                                             CUBLASLT_MATMUL_DESC_TRANSA,
-                                                             &transa,
-                                                             sizeof(transa))) ||
-        !check_cublas("set TRANSB",
-                      cublas->cublasLtMatmulDescSetAttribute(out->op_desc,
-                                                             CUBLASLT_MATMUL_DESC_TRANSB,
-                                                             &transb,
-                                                             sizeof(transb)))) {
-        destroy_profile(cublas, cuda, out);
-        return 0;
-    }
-
-    if (desc->needs_scalar_scale) {
-        float one = 1.0f;
-        if (!alloc_filled(cuda, &out->a_scale_dev, sizeof(one), 0x00) ||
-            !alloc_filled(cuda, &out->b_scale_dev, sizeof(one), 0x00)) {
+        if (!alloc_filled(cuda, &out->a_dev, a_bytes, 0x11) ||
+            !alloc_filled(cuda, &out->b_dev, b_bytes, 0x11) ||
+            !alloc_filled(cuda, &out->c_dev, c_bytes, 0x00) ||
+            !alloc_filled(cuda, &out->d_dev, d_bytes, 0x00)) {
            destroy_profile(cublas, cuda, out);
            return 0;
        }
-        if (!device_upload(cuda, out->a_scale_dev, &one, sizeof(one)) ||
-            !device_upload(cuda, out->b_scale_dev, &one, sizeof(one))) {
+
+        cudaDataType_t scale_type = matmul_scale_type(desc);
+        if (!check_cublas("cublasLtMatmulDescCreate",
+                          cublas->cublasLtMatmulDescCreate(&out->op_desc, desc->compute_type, scale_type))) {
            destroy_profile(cublas, cuda, out);
            return 0;
        }
-        void *a_scale_ptr = (void *)(uintptr_t)out->a_scale_dev;
-        void *b_scale_ptr = (void *)(uintptr_t)out->b_scale_dev;
-        if (!check_cublas("set A scale ptr",
+
+        cublasOperation_t transa = CUBLAS_OP_T;
+        cublasOperation_t transb = CUBLAS_OP_N;
+        if (!check_cublas("set TRANSA",
                          cublas->cublasLtMatmulDescSetAttribute(out->op_desc,
-                                                                 CUBLASLT_MATMUL_DESC_A_SCALE_POINTER,
-                                                                 &a_scale_ptr,
-                                                                 sizeof(a_scale_ptr))) ||
-            !check_cublas("set B scale ptr",
+                                                                 CUBLASLT_MATMUL_DESC_TRANSA,
+                                                                 &transa,
+                                                                 sizeof(transa))) ||
+            !check_cublas("set TRANSB",
                          cublas->cublasLtMatmulDescSetAttribute(out->op_desc,
-                                                                 CUBLASLT_MATMUL_DESC_B_SCALE_POINTER,
-                                                                 &b_scale_ptr,
-                                                                 sizeof(b_scale_ptr)))) {
+                                                                 CUBLASLT_MATMUL_DESC_TRANSB,
+                                                                 &transb,
+                                                                 sizeof(transb)))) {
            destroy_profile(cublas, cuda, out);
            return 0;
        }
-    }
+
+        if (desc->needs_scalar_scale) {
+            float one = 1.0f;
+            if (!alloc_filled(cuda, &out->a_scale_dev, sizeof(one), 0x00) ||
+                !alloc_filled(cuda, &out->b_scale_dev, sizeof(one), 0x00)) {
+                destroy_profile(cublas, cuda, out);
+                return 0;
+            }
+            if (!device_upload(cuda, out->a_scale_dev, &one, sizeof(one)) ||
+                !device_upload(cuda, out->b_scale_dev, &one, sizeof(one))) {
+                destroy_profile(cublas, cuda, out);
+                return 0;
+            }
+            void *a_scale_ptr = (void *)(uintptr_t)out->a_scale_dev;
+            void *b_scale_ptr = (void *)(uintptr_t)out->b_scale_dev;
+            if (!check_cublas("set A scale ptr",
+                              cublas->cublasLtMatmulDescSetAttribute(out->op_desc,
+                                                                     CUBLASLT_MATMUL_DESC_A_SCALE_POINTER,
+                                                                     &a_scale_ptr,
+                                                                     sizeof(a_scale_ptr))) ||
+                !check_cublas("set B scale ptr",
+                              cublas->cublasLtMatmulDescSetAttribute(out->op_desc,
+                                                                     CUBLASLT_MATMUL_DESC_B_SCALE_POINTER,
+                                                                     &b_scale_ptr,
+                                                                     sizeof(b_scale_ptr)))) {
+                destroy_profile(cublas, cuda, out);
+                return 0;
+            }
+        }

 #if defined(CUBLASLT_MATMUL_MATRIX_SCALE_VEC16_UE4M3)
    if (desc->needs_block_scale) {
@@ -1060,62 +1089,65 @@ static int prepare_profile(struct cublaslt_api *cublas,
    }
 #endif

-    if (!check_cublas("create A layout",
-                      cublas->cublasLtMatrixLayoutCreate(&out->a_layout, desc->a_type, out->k, out->m, out->k)) ||
-        !check_cublas("create B layout",
-                      cublas->cublasLtMatrixLayoutCreate(&out->b_layout, desc->b_type, out->k, out->n, out->k)) ||
-        !check_cublas("create C layout",
-                      cublas->cublasLtMatrixLayoutCreate(&out->c_layout, desc->c_type, out->m, out->n, out->m)) ||
-        !check_cublas("create D layout",
-                      cublas->cublasLtMatrixLayoutCreate(&out->d_layout, desc->d_type, out->m, out->n, out->m))) {
-        destroy_profile(cublas, cuda, out);
-        return 0;
-    }
-
-    if (!check_cublas("create preference", cublas->cublasLtMatmulPreferenceCreate(&out->preference))) {
-        destroy_profile(cublas, cuda, out);
-        return 0;
-    }
-
-    if (out->workspace_size > 0) {
-        if (!alloc_filled(cuda, &out->workspace_dev, out->workspace_size, 0x00)) {
+        if (!check_cublas("create A layout",
+                          cublas->cublasLtMatrixLayoutCreate(&out->a_layout, desc->a_type, out->k, out->m, out->k)) ||
+            !check_cublas("create B layout",
+                          cublas->cublasLtMatrixLayoutCreate(&out->b_layout, desc->b_type, out->k, out->n, out->k)) ||
+            !check_cublas("create C layout",
+                          cublas->cublasLtMatrixLayoutCreate(&out->c_layout, desc->c_type, out->m, out->n, out->m)) ||
+            !check_cublas("create D layout",
+                          cublas->cublasLtMatrixLayoutCreate(&out->d_layout, desc->d_type, out->m, out->n, out->m))) {
            destroy_profile(cublas, cuda, out);
            return 0;
        }
+
+        if (!check_cublas("create preference", cublas->cublasLtMatmulPreferenceCreate(&out->preference))) {
+            destroy_profile(cublas, cuda, out);
+            return 0;
+        }
+
+        if (out->workspace_size > 0) {
+            if (!alloc_filled(cuda, &out->workspace_dev, out->workspace_size, 0x00)) {
+                destroy_profile(cublas, cuda, out);
+                return 0;
+            }
+        }
+
+        if (!check_cublas("set workspace",
+                          cublas->cublasLtMatmulPreferenceSetAttribute(
+                              out->preference,
+                              CUBLASLT_MATMUL_PREF_MAX_WORKSPACE_BYTES,
+                              &out->workspace_size,
+                              sizeof(out->workspace_size)))) {
+            destroy_profile(cublas, cuda, out);
+            return 0;
+        }
+
+        int found = 0;
+        if (check_cublas("heuristic",
+                         cublas->cublasLtMatmulAlgoGetHeuristic(handle,
+                                                                out->op_desc,
+                                                                out->a_layout,
+                                                                out->b_layout,
+                                                                out->c_layout,
+                                                                out->d_layout,
+                                                                out->preference,
+                                                                1,
+                                                                &out->heuristic,
+                                                                &found)) &&
+            found > 0) {
+            out->ready = 1;
+            return 1;
+        }
+
+        destroy_profile(cublas, cuda, out);
+        attempt_budget = round_down_size(attempt_budget * 3u / 4u, 256u);
+        if (attempt_budget < MIN_PROFILE_BUDGET_BYTES) {
+            break;
+        }
    }

-    if (!check_cublas("set workspace",
-                      cublas->cublasLtMatmulPreferenceSetAttribute(
-                          out->preference,
-                          CUBLASLT_MATMUL_PREF_MAX_WORKSPACE_BYTES,
-                          &out->workspace_size,
-                          sizeof(out->workspace_size)))) {
-        destroy_profile(cublas, cuda, out);
-        return 0;
-    }
-
-    int found = 0;
-    if (!check_cublas("heuristic",
-                      cublas->cublasLtMatmulAlgoGetHeuristic(handle,
-                                                             out->op_desc,
-                                                             out->a_layout,
-                                                             out->b_layout,
-                                                             out->c_layout,
-                                                             out->d_layout,
-                                                             out->preference,
-                                                             1,
-                                                             &out->heuristic,
-                                                             &found))) {
-        destroy_profile(cublas, cuda, out);
-        return 0;
-    }
-    if (found <= 0) {
-        destroy_profile(cublas, cuda, out);
-        return 0;
-    }
-
-    out->ready = 1;
-    return 1;
+    return 0;
 }

 static int run_cublas_profile(cublasLtHandle_t handle,
@@ -1180,6 +1212,7 @@ static int run_cublaslt_stress(struct cuda_api *cuda,
    size_t requested_budget = 0;
    size_t total_budget = 0;
    size_t per_profile_budget = 0;
+    int budget_profiles = 0;

    memset(report, 0, sizeof(*report));
    snprintf(report->backend, sizeof(report->backend), "cublasLt");
@@ -1202,8 +1235,7 @@ static int run_cublaslt_stress(struct cuda_api *cuda,

    /* Count profiles matching the filter (for deciding what to run). */
    for (size_t i = 0; i < sizeof(k_profiles) / sizeof(k_profiles[0]); i++) {
-        if (k_profiles[i].enabled && cc >= k_profiles[i].min_cc &&
-            (precision_filter == NULL || strcmp(k_profiles[i].block_label, precision_filter) == 0)) {
+        if (profile_allowed_for_run(&k_profiles[i], cc, precision_filter)) {
            planned++;
        }
    }
@@ -1215,30 +1247,41 @@ static int run_cublaslt_stress(struct cuda_api *cuda,
    }

    /* Count all profiles active on this GPU regardless of filter.
-     * Used as the budget divisor so matrix sizes stay consistent whether
-     * running all precisions together or a single-precision phase. */
+     * Mixed phases still divide budget across the full precision set, while
+     * single-precision benchmark phases dedicate budget only to active
+     * profiles matching precision_filter. */
    int planned_total = 0;
    for (size_t i = 0; i < sizeof(k_profiles) / sizeof(k_profiles[0]); i++) {
-        if (k_profiles[i].enabled && cc >= k_profiles[i].min_cc) {
+        if (profile_allowed_for_run(&k_profiles[i], cc, precision_filter)) {
            planned_total++;
        }
    }
    if (planned_total < planned) {
        planned_total = planned;
    }
+    budget_profiles = planned_total;
+    if (precision_filter != NULL) {
+        budget_profiles = planned;
+    }
+    if (budget_profiles <= 0) {
+        budget_profiles = planned_total;
+    }

    requested_budget = (size_t)size_mb * 1024u * 1024u;
-    if (requested_budget < (size_t)planned_total * MIN_PROFILE_BUDGET_BYTES) {
-        requested_budget = (size_t)planned_total * MIN_PROFILE_BUDGET_BYTES;
+    if (requested_budget < (size_t)budget_profiles * MIN_PROFILE_BUDGET_BYTES) {
+        requested_budget = (size_t)budget_profiles * MIN_PROFILE_BUDGET_BYTES;
    }
    total_budget = clamp_budget_to_free_memory(cuda, requested_budget);
-    if (total_budget < (size_t)planned_total * MIN_PROFILE_BUDGET_BYTES) {
-        total_budget = (size_t)planned_total * MIN_PROFILE_BUDGET_BYTES;
+    if (total_budget < (size_t)budget_profiles * MIN_PROFILE_BUDGET_BYTES) {
+        total_budget = (size_t)budget_profiles * MIN_PROFILE_BUDGET_BYTES;
    }
    if (query_multiprocessor_count(cuda, dev, &mp_count) &&
        cuda->cuStreamCreate &&
        cuda->cuStreamDestroy) {
-        stream_count = choose_stream_count(mp_count, planned_total, total_budget, 1);
+        stream_count = choose_stream_count(mp_count, budget_profiles, total_budget, 1);
+    }
+    if (precision_filter != NULL && stream_count > MAX_SINGLE_PRECISION_STREAMS) {
+        stream_count = MAX_SINGLE_PRECISION_STREAMS;
    }
    if (stream_count > 1) {
        int created = 0;
@@ -1251,18 +1294,22 @@ static int run_cublaslt_stress(struct cuda_api *cuda,
        }
    }
    report->stream_count = stream_count;
-    per_profile_budget = total_budget / ((size_t)planned_total * (size_t)stream_count);
+    per_profile_budget = total_budget / ((size_t)budget_profiles * (size_t)stream_count);
    if (per_profile_budget < MIN_PROFILE_BUDGET_BYTES) {
        per_profile_budget = MIN_PROFILE_BUDGET_BYTES;
    }
+    if (precision_filter != NULL) {
+        per_profile_budget = clamp_single_precision_profile_budget(per_profile_budget);
+    }
    report->buffer_mb = (int)(total_budget / (1024u * 1024u));
    append_detail(report->details,
                  sizeof(report->details),
-                  "requested_mb=%d actual_mb=%d streams=%d mp_count=%d per_worker_mb=%zu\n",
+                  "requested_mb=%d actual_mb=%d streams=%d mp_count=%d budget_profiles=%d per_worker_mb=%zu\n",
                  size_mb,
                  report->buffer_mb,
                  report->stream_count,
                  mp_count,
+                  budget_profiles,
                  per_profile_budget / (1024u * 1024u));

    for (int i = 0; i < profile_count; i++) {
@@ -1275,10 +1322,10 @@ static int run_cublaslt_stress(struct cuda_api *cuda,
                          desc->min_cc);
            continue;
        }
-        if (precision_filter != NULL && strcmp(desc->block_label, precision_filter) != 0) {
+        if (!profile_allowed_for_run(desc, cc, precision_filter)) {
            append_detail(report->details,
                          sizeof(report->details),
-                          "%s=SKIPPED precision_filter\n",
+                          "%s=SKIPPED benchmark_disabled\n",
                          desc->name);
            continue;
        }
--- a/iso/builder/build.sh
+++ b/iso/builder/build.sh
@@ -1305,7 +1305,7 @@ BEE_GPU_VENDOR_UPPER="$(echo "${BUILD_VARIANT}" | tr 'a-z-' 'A-Z_')"
 export BEE_GPU_VENDOR_UPPER

 cd "${LB_DIR}"
-run_step_sh "live-build clean" "80-lb-clean" "lb clean 2>&1 | tail -3"
+run_step_sh "live-build clean" "80-lb-clean" "lb clean --all 2>&1 | tail -3"
 run_step_sh "live-build config" "81-lb-config" "lb config 2>&1 | tail -5"
 dump_memtest_debug "pre-build" "${LB_DIR}"
 run_step_sh "live-build build" "90-lb-build" "lb build 2>&1"
--- a/iso/builder/config/bootloaders/grub-pc/grub.cfg
+++ b/iso/builder/config/bootloaders/grub-pc/grub.cfg
@@ -16,6 +16,11 @@ menuentry "EASY-BEE" {
 }

 submenu "EASY-BEE (advanced options) -->" {
+    menuentry "EASY-BEE — load to RAM (toram)" {
+        linux   @KERNEL_LIVE@ @APPEND_LIVE@ toram nomodeset bee.nvidia.mode=normal net.ifnames=0 biosdevname=0 mitigations=off transparent_hugepage=always numa_balancing=disable pcie_aspm=off intel_idle.max_cstate=1 processor.max_cstate=1 nowatchdog nosoftlockup
+        initrd  @INITRD_LIVE@
+    }
+
    menuentry "EASY-BEE — GSP=off" {
        linux   @KERNEL_LIVE@ @APPEND_LIVE@ nomodeset bee.nvidia.mode=gsp-off net.ifnames=0 biosdevname=0 mitigations=off transparent_hugepage=always numa_balancing=disable pcie_aspm=off intel_idle.max_cstate=1 processor.max_cstate=1 nowatchdog nosoftlockup
        initrd  @INITRD_LIVE@
--- a/iso/builder/config/hooks/normal/9000-bee-setup.hook.chroot
+++ b/iso/builder/config/hooks/normal/9000-bee-setup.hook.chroot
@@ -63,8 +63,10 @@ chmod +x /usr/local/bin/bee-sshsetup   2>/dev/null || true
 chmod +x /usr/local/bin/bee-smoketest  2>/dev/null || true
 chmod +x /usr/local/bin/bee            2>/dev/null || true
 chmod +x /usr/local/bin/bee-log-run    2>/dev/null || true
-chmod +x /usr/local/bin/bee-selfheal      2>/dev/null || true
-chmod +x /usr/local/bin/bee-boot-status  2>/dev/null || true
+chmod +x /usr/local/bin/bee-selfheal        2>/dev/null || true
+chmod +x /usr/local/bin/bee-boot-status    2>/dev/null || true
+chmod +x /usr/local/bin/bee-install        2>/dev/null || true
+chmod +x /usr/local/bin/bee-remount-medium 2>/dev/null || true
 if [ "$GPU_VENDOR" = "nvidia" ]; then
    chmod +x /usr/local/bin/bee-nvidia-load 2>/dev/null || true
    chmod +x /usr/local/bin/bee-gpu-burn 2>/dev/null || true
--- a/iso/builder/config/hooks/normal/9001-wallpaper.hook.chroot
+++ b/iso/builder/config/hooks/normal/9001-wallpaper.hook.chroot
@@ -1,117 +0,0 @@
-#!/bin/sh
-# 9001-wallpaper.hook.chroot — generate /usr/share/bee/wallpaper.png inside chroot
-set -e
-echo "=== generating bee wallpaper ==="
-mkdir -p /usr/share/bee
-
-python3 - <<'PYEOF'
-from PIL import Image, ImageDraw, ImageFont, ImageFilter
-import os
-
-W, H = 1920, 1080
-
-ASCII_ART = [
-    "  ███████╗ █████╗ ███████╗██╗   ██╗      ██████╗ ███████╗███████╗",
-    "  ██╔════╝██╔══██╗██╔════╝╚██╗ ██╔╝      ██╔══██╗██╔════╝██╔════╝",
-    "  █████╗  ███████║███████╗ ╚████╔╝ █████╗██████╔╝█████╗  █████╗",
-    "  ██╔══╝  ██╔══██║╚════██║  ╚██╔╝  ╚════╝██╔══██╗██╔══╝  ██╔══╝",
-    "  ███████╗██║  ██║███████║   ██║         ██████╔╝███████╗███████╗",
-    "  ╚══════╝╚═╝  ╚═╝╚══════╝   ╚═╝         ╚═════╝ ╚══════╝╚══════╝",
-]
-SUBTITLE = "  Hardware Audit LiveCD"
-
-FG = (0xF6, 0xD0, 0x47)
-FG_DIM = (0xD4, 0xA9, 0x1C)
-SHADOW = (0x5E, 0x47, 0x05)
-SUB = (0x96, 0x7A, 0x17)
-BG = (0x05, 0x05, 0x05)
-
-MONO_FONT_CANDIDATES = [
-    '/usr/share/fonts/truetype/dejavu/DejaVuSansMono-Bold.ttf',
-    '/usr/share/fonts/truetype/liberation2/LiberationMono-Bold.ttf',
-    '/usr/share/fonts/truetype/liberation/LiberationMono-Bold.ttf',
-    '/usr/share/fonts/truetype/freefont/FreeMonoBold.ttf',
-]
-SUB_FONT_CANDIDATES = [
-    '/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf',
-    '/usr/share/fonts/truetype/liberation2/LiberationSans-Bold.ttf',
-    '/usr/share/fonts/truetype/liberation/LiberationSans-Bold.ttf',
-    '/usr/share/fonts/truetype/freefont/FreeSansBold.ttf',
-]
-
-
-def load_font(candidates, size):
-    for path in candidates:
-        if os.path.exists(path):
-            return ImageFont.truetype(path, size)
-    return ImageFont.load_default()
-
-
-def mono_metrics(font):
-    probe = Image.new('L', (W, H), 0)
-    draw = ImageDraw.Draw(probe)
-    char_w = int(round(draw.textlength("M", font=font)))
-    bb = draw.textbbox((0, 0), "Mg", font=font)
-    char_h = bb[3] - bb[1]
-    return char_w, char_h
-
-
-def render_ascii_mask(font, lines, char_w, char_h, line_gap):
-    width = max(len(line) for line in lines) * char_w
-    height = len(lines) * char_h + line_gap * (len(lines) - 1)
-    mask = Image.new('L', (width, height), 0)
-    draw = ImageDraw.Draw(mask)
-    for row, line in enumerate(lines):
-        y = row * (char_h + line_gap)
-        for col, ch in enumerate(line):
-            if ch == ' ':
-                continue
-            x = col * char_w
-            draw.text((x, y), ch, font=font, fill=255)
-    return mask
-
-
-img = Image.new('RGB', (W, H), BG)
-draw = ImageDraw.Draw(img)
-
-# Soft amber glow under the logo without depending on font rendering.
-glow = Image.new('RGBA', (W, H), (0, 0, 0, 0))
-glow_draw = ImageDraw.Draw(glow)
-glow_draw.ellipse((360, 250, 1560, 840), fill=(180, 120, 10, 56))
-glow_draw.ellipse((520, 340, 1400, 760), fill=(255, 190, 40, 36))
-glow = glow.filter(ImageFilter.GaussianBlur(60))
-img = Image.alpha_composite(img.convert('RGBA'), glow)
-
-TARGET_LOGO_W = 400
-max_chars = max(len(line) for line in ASCII_ART)
-_probe_font = load_font(MONO_FONT_CANDIDATES, 64)
-_probe_cw, _ = mono_metrics(_probe_font)
-font_size_logo = max(6, int(64 * TARGET_LOGO_W / (_probe_cw * max_chars)))
-font_logo = load_font(MONO_FONT_CANDIDATES, font_size_logo)
-char_w, char_h = mono_metrics(font_logo)
-logo_mask = render_ascii_mask(font_logo, ASCII_ART, char_w, char_h, 2)
-logo_w, logo_h = logo_mask.size
-logo_x = (W - logo_w) // 2
-logo_y = 380
-
-sh_off = max(1, font_size_logo // 6)
-shadow_mask = logo_mask.filter(ImageFilter.GaussianBlur(1))
-img.paste(SHADOW, (logo_x + sh_off * 2, logo_y + sh_off * 2), shadow_mask)
-img.paste(FG_DIM, (logo_x + sh_off, logo_y + sh_off), logo_mask)
-img.paste(FG, (logo_x, logo_y), logo_mask)
-
-font_sub = load_font(SUB_FONT_CANDIDATES, 30)
-sub_bb = draw.textbbox((0, 0), SUBTITLE, font=font_sub)
-sub_x = (W - (sub_bb[2] - sub_bb[0])) // 2
-sub_y = logo_y + logo_h + 48
-draw = ImageDraw.Draw(img)
-draw.text((sub_x + 2, sub_y + 2), SUBTITLE, font=font_sub, fill=(35, 28, 6))
-draw.text((sub_x, sub_y), SUBTITLE, font=font_sub, fill=SUB)
-
-img = img.convert('RGB')
-
-img.save('/usr/share/bee/wallpaper.png', optimize=True)
-print('wallpaper written: /usr/share/bee/wallpaper.png')
-PYEOF
-
-echo "=== wallpaper done ==="
--- a/iso/builder/config/hooks/normal/9011-toram-rsync.hook.chroot
+++ b/iso/builder/config/hooks/normal/9011-toram-rsync.hook.chroot
@@ -0,0 +1,46 @@
+#!/bin/sh
+# 9011-toram-rsync.hook.chroot
+#
+# Adds rsync to the initramfs so that live-boot's toram code takes the
+# rsync --progress path instead of the silent "cp -a" fallback.
+#
+# live-boot's 9990-toram-todisk.sh already contains:
+#   if [ -x /bin/rsync ]; then
+#       rsync -a --progress ... 1>/dev/console
+#   else
+#       cp -a ...   # no output
+#   fi
+#
+# We install an initramfs-tools hook that calls copy_exec /usr/bin/rsync,
+# which copies the binary + all shared-library dependencies into the initrd.
+
+set -e
+
+HOOK_DIR="/etc/initramfs-tools/hooks"
+HOOK="${HOOK_DIR}/bee-rsync"
+
+mkdir -p "${HOOK_DIR}"
+
+cat > "${HOOK}" << 'EOF'
+#!/bin/sh
+# initramfs hook: include rsync for live-boot toram progress output
+PREREQ=""
+prereqs() { echo "$PREREQ"; }
+case "$1" in prereqs) prereqs; exit 0 ;; esac
+
+. /usr/share/initramfs-tools/hook-functions
+
+if [ -x /usr/bin/rsync ]; then
+    copy_exec /usr/bin/rsync /bin
+fi
+EOF
+
+chmod +x "${HOOK}"
+
+echo "9011-toram-rsync: installed initramfs hook at ${HOOK}"
+
+# Rebuild initramfs so the hook takes effect in the ISO's initrd.img
+KVER=$(ls /lib/modules | sort -V | tail -1)
+echo "9011-toram-rsync: rebuilding initramfs for kernel ${KVER}"
+update-initramfs -u -k "${KVER}"
+echo "9011-toram-rsync: done"
--- a/iso/builder/config/package-lists/bee.list.chroot
+++ b/iso/builder/config/package-lists/bee.list.chroot
@@ -3,6 +3,7 @@ dmidecode
 smartmontools
 nvme-cli
 pciutils
+rsync
 ipmitool
 util-linux
 e2fsprogs
--- a/iso/overlay/usr/local/bin/bee-install
+++ b/iso/overlay/usr/local/bin/bee-install
@@ -65,6 +65,9 @@ done
 SQUASHFS="/run/live/medium/live/filesystem.squashfs"
 if [ ! -f "$SQUASHFS" ]; then
    echo "ERROR: squashfs not found at $SQUASHFS" >&2
+    echo "  The live medium may have been disconnected." >&2
+    echo "  Reconnect the disc and run:  bee-remount-medium --wait" >&2
+    echo "  Then re-run bee-install." >&2
    exit 1
 fi

@@ -162,10 +165,59 @@ log "  Mounted."
 log "--- Step 5/7: Unpacking filesystem (this takes 10-20 minutes) ---"
 log "  Source: $SQUASHFS"
 log "  Target: $MOUNT_ROOT"
-unsquashfs -f -d "$MOUNT_ROOT" "$SQUASHFS" 2>&1 | \
-    grep -E '^\[|^inod|^created|^extract' | \
-    while read -r line; do log "  $line"; done || true
-log "  Unpack complete."
+
+# unsquashfs does not support resume, so retry the entire unpack step if the
+# source medium disappears mid-copy (e.g. CD physically disconnected).
+UNPACK_ATTEMPTS=0
+UNPACK_MAX=5
+while true; do
+    UNPACK_ATTEMPTS=$(( UNPACK_ATTEMPTS + 1 ))
+    if [ "$UNPACK_ATTEMPTS" -gt "$UNPACK_MAX" ]; then
+        die "Unpack failed $UNPACK_MAX times — giving up. Check the disc and logs."
+    fi
+    [ "$UNPACK_ATTEMPTS" -gt 1 ] && log "  Retry attempt $UNPACK_ATTEMPTS / $UNPACK_MAX ..."
+
+    # Re-check squashfs is reachable before each attempt
+    if [ ! -f "$SQUASHFS" ]; then
+        log "  SOURCE LOST: $SQUASHFS not found."
+        log "  Reconnect the disc and run 'bee-remount-medium --wait' in another terminal,"
+        log "  then press Enter here to retry."
+        read -r _
+        continue
+    fi
+
+    # wipe partial unpack so unsquashfs starts clean
+    if [ "$UNPACK_ATTEMPTS" -gt 1 ]; then
+        log "  Cleaning partial unpack from $MOUNT_ROOT ..."
+        # keep the mount point itself but remove its contents
+        find "$MOUNT_ROOT" -mindepth 1 -maxdepth 1 -exec rm -rf {} + 2>/dev/null || true
+    fi
+
+    UNPACK_OK=0
+    unsquashfs -f -d "$MOUNT_ROOT" "$SQUASHFS" 2>&1 | \
+        grep -E '^\[|^inod|^created|^extract|^ERROR|failed' | \
+        while IFS= read -r line; do log "  $line"; done || UNPACK_OK=$?
+
+    # Check squashfs is still reachable (gone = disc pulled during copy)
+    if [ ! -f "$SQUASHFS" ]; then
+        log "  WARNING: source medium lost during unpack — will retry after remount."
+        log "  Run 'bee-remount-medium --wait' in another terminal, then press Enter."
+        read -r _
+        continue
+    fi
+
+    # Verify the unpack produced a usable root (presence of /etc is a basic check)
+    if [ -d "${MOUNT_ROOT}/etc" ]; then
+        log "  Unpack complete."
+        break
+    else
+        log "  WARNING: unpack produced no /etc — squashfs may be corrupt or incomplete."
+        if [ "$UNPACK_ATTEMPTS" -lt "$UNPACK_MAX" ]; then
+            log "  Retrying in 5 s ..."
+            sleep 5
+        fi
+    fi
+done

 # ------------------------------------------------------------------
 log "--- Step 6/7: Configuring installed system ---"
--- a/iso/overlay/usr/local/bin/bee-openbox-session
+++ b/iso/overlay/usr/local/bin/bee-openbox-session
@@ -9,9 +9,9 @@ xset s noblank

 # Set desktop background.
 if [ -f /usr/share/bee/wallpaper.png ]; then
-    feh --bg-fill /usr/share/bee/wallpaper.png
+    feh --bg-center --image-bg '#000000' /usr/share/bee/wallpaper.png
 else
-    xsetroot -solid '#f6c90e'
+    xsetroot -solid '#000000'
 fi

 tint2 &
--- a/iso/overlay/usr/local/bin/bee-remount-medium
+++ b/iso/overlay/usr/local/bin/bee-remount-medium
@@ -0,0 +1,100 @@
+#!/bin/bash
+# bee-remount-medium — find and remount the live ISO medium to /run/live/medium
+#
+# Run this after reconnecting the ISO source disc (USB/CD) if the live medium
+# was lost and /run/live/medium/live/filesystem.squashfs is missing.
+#
+# Usage: bee-remount-medium [--wait]
+#   --wait  keep retrying every 5 seconds until the medium is found (useful
+#           while physically reconnecting the device)
+
+set -euo pipefail
+
+MEDIUM_DIR="/run/live/medium"
+SQUASHFS_REL="live/filesystem.squashfs"
+WAIT_MODE=0
+
+for arg in "$@"; do
+    case "$arg" in
+        --wait|-w) WAIT_MODE=1 ;;
+        --help|-h)
+            echo "Usage: bee-remount-medium [--wait]"
+            echo "  Finds and remounts the live ISO medium to $MEDIUM_DIR"
+            echo "  --wait  retry every 5 s until a medium with squashfs is found"
+            exit 0 ;;
+    esac
+done
+
+log() { echo "[$(date +%H:%M:%S)] $*"; }
+die() { log "ERROR: $*" >&2; exit 1; }
+
+# Return all candidate block devices (optical + removable USB mass storage)
+find_candidates() {
+    # CD/DVD drives
+    for dev in /dev/sr* /dev/scd*; do
+        [ -b "$dev" ] && echo "$dev"
+    done
+    # USB/removable disks and partitions
+    for dev in /dev/sd* /dev/vd*; do
+        [ -b "$dev" ] || continue
+        # Only whole disks or partitions — skip the same device we are running from
+        local removable
+        local base
+        base=$(basename "$dev")
+        removable=$(cat "/sys/block/${base%%[0-9]*}/removable" 2>/dev/null || echo 0)
+        [ "$removable" = "1" ] && echo "$dev"
+    done
+}
+
+# Try to mount $1 to $MEDIUM_DIR and check for squashfs
+try_mount() {
+    local dev="$1"
+    local tmpdir
+    tmpdir=$(mktemp -d /tmp/bee-probe-XXXXXX)
+    if mount -o ro "$dev" "$tmpdir" 2>/dev/null; then
+        if [ -f "${tmpdir}/${SQUASHFS_REL}" ]; then
+            # Unmount probe mount and mount properly onto live path
+            umount "$tmpdir" 2>/dev/null || true
+            rmdir "$tmpdir"  2>/dev/null || true
+            # Unmount whatever is currently on MEDIUM_DIR (may be empty/stale)
+            umount "$MEDIUM_DIR" 2>/dev/null || true
+            mkdir -p "$MEDIUM_DIR"
+            if mount -o ro "$dev" "$MEDIUM_DIR"; then
+                log "Mounted $dev on $MEDIUM_DIR"
+                return 0
+            else
+                log "Mount of $dev on $MEDIUM_DIR failed"
+                return 1
+            fi
+        fi
+        umount "$tmpdir" 2>/dev/null || true
+    fi
+    rmdir "$tmpdir" 2>/dev/null || true
+    return 1
+}
+
+attempt() {
+    log "Scanning for ISO medium..."
+    for dev in $(find_candidates); do
+        log "  Trying $dev ..."
+        if try_mount "$dev"; then
+            local sq="${MEDIUM_DIR}/${SQUASHFS_REL}"
+            log "SUCCESS: squashfs available at $sq ($(du -sh "$sq" | cut -f1))"
+            return 0
+        fi
+    done
+    return 1
+}
+
+if [ "$WAIT_MODE" = "1" ]; then
+    log "Waiting for live medium (press Ctrl+C to abort)..."
+    while true; do
+        if attempt; then
+            exit 0
+        fi
+        log "  Not found — retrying in 5 s (reconnect the disc now)"
+        sleep 5
+    done
+else
+    attempt || die "No ISO medium with ${SQUASHFS_REL} found. Reconnect the disc and re-run, or use --wait."
+fi
--- a/iso/overlay/usr/share/bee/wallpaper.png
+++ b/iso/overlay/usr/share/bee/wallpaper.png
Author	SHA1	Message	Date
Michael Chus	5ba72ab315	Add rsync to initramfs for toram progress output live-boot already uses rsync --progress when /bin/rsync exists; without it the copy falls back to silent cp -a. Add rsync to the ISO package list and install an initramfs-tools hook (bee-rsync) that copies the rsync binary + shared libs into the initrd via copy_exec. The hook then rebuilds the initramfs so the change takes effect in the ISO's initrd.img. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-04-17 23:52:47 +03:00
Michael Chus	63363e9629	Add toram boot entry and Install to RAM resume support - grub.cfg: add "load to RAM (toram)" entry to advanced submenu - install_to_ram.go: resume from existing /dev/shm/bee-live copy if source medium is unavailable after bee-web restart - tasks.go: fix "Recovered after bee-web restart" shown on every run (check j.lines before first append, not after) - bee-install: retry unsquashfs up to 5x with wait-for-remount on source loss; clear error message with bee-remount-medium hint - bee-remount-medium: new script to find and remount live ISO source after USB/CD reconnect; supports --wait polling mode - 9000-bee-setup: chmod +x for bee-install and bee-remount-medium Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-04-17 23:48:56 +03:00
Mikhail Chusavitin	5285c0d101	Capture per-run IPMI power and GPU telemetry in power benchmark - Sample IPMI loaded_w per single-card calibration and per ramp step instead of averaging over the entire Phase 2; top-level ServerPower uses the final (all-GPU) ramp step value - Add ServerLoadedW/ServerDeltaW to NvidiaPowerBenchGPU and NvidiaPowerBenchStep so external tooling can compare wall power per phase without re-parsing logs - Write gpu-metrics.csv/.html inside each single-XX/ and step-XX/ subdir; aggregate all phases into a top-level gpu-metrics.csv/.html - Write 00-nvidia-smi-q.log at the start of every power run - Add Telemetry (p95 temp/power/fan/clock) to NvidiaPowerBenchGPU in result.json from the converged calibration attempt - Power benchmark page: split "Achieved W" into Single-card W and Multi-GPU W (StablePowerLimitW); derate highlight and status color now reflect the final multi-GPU limit vs nominal - Performance benchmark page: add Status column and per-GPU score color coding (green/yellow/red) based on gpu.Status and OverallStatus Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-04-17 17:59:58 +03:00
Mikhail Chusavitin	dca4afb8d0	Seed power ramp with single-card TDP limits	2026-04-16 11:43:01 +03:00
Mikhail Chusavitin	b4280941f5	Move NCCL and NVBandwidth into validate mode	2026-04-16 11:02:30 +03:00
Mikhail Chusavitin	f74976ec4c	Use static overlay wallpaper in ISO build	2026-04-16 10:54:03 +03:00
Mikhail Chusavitin	18e24a9aa5	Estimate fan duty from observed RPM maxima	2026-04-16 10:10:18 +03:00
Mikhail Chusavitin	e306250da7	Disable fp64/fp4 in mixed gpu burn	2026-04-16 10:00:03 +03:00
Mikhail Chusavitin	c5b2081ac9	Disable unstable fp4/fp64 benchmark phases	2026-04-16 09:58:02 +03:00
Michael Chus	434528083e	Power bench: compare GPU-reported TDP vs IPMI server power delta - NvidiaPowerBenchResult gains ServerPower *BenchmarkServerPower - RunNvidiaPowerBench samples IPMI idle before Phase 1 and loaded via background goroutine throughout Phase 2 ramp - renderPowerBenchReport: new "Server vs GPU Power Comparison" table with ratio annotation (✓ match / ⚠ minor / ✗ over-report) - renderPowerBenchSummary: server_idle_w, server_loaded_w, server_delta_w, server_reporting_ratio keys Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-04-16 07:21:02 +03:00
Michael Chus	30aa30cd67	LiveCD: set Baby Bee wallpaper centered on black background 400×400px PNG centered via feh --bg-center --image-bg '#000000'. Fallback solid fill also changed to black. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-04-16 06:57:23 +03:00
Michael Chus	4f76e1de21	Dashboard: per-device status chips with hover tooltips Replace single aggregated badge per hardware category with individual colored chips (O/W/F/?) for each ComponentStatusRecord. Added helper functions: matchedRecords, firstNonEmpty. CSS classes: chip-ok/warn/fail/unknown. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-04-16 06:54:13 +03:00
Michael Chus	3732e64a4a	Add slowdown temperature exceedance detector to benchmark detectSlowdownTempExceedance scans steady-state metric rows per GPU and emits a [WARNING] note + PARTIAL status if any sample >= SlowdownTempC. Uses per-GPU threshold from nvidia-smi -q, fallback 80°C. Distinct from p95-based TempHeadroomC check: catches even a single spike above the slowdown threshold that would be smoothed out in aggregates. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-04-16 06:46:45 +03:00
Michael Chus	0d925299ff	Use per-GPU temperature limits from nvidia-smi -q for headroom calculation Parse "GPU Shutdown Temp" and "GPU Slowdown Temp" from nvidia-smi -q verbose output in enrichGPUInfoWithMaxClocks. Store as ShutdownTempC/SlowdownTempC on benchmarkGPUInfo and BenchmarkGPUResult. Fallback: 90°C shutdown / 80°C slowdown when not available. TempHeadroomC = ShutdownTempC - P95TempC (per-GPU, not hardcoded 100°C). Warning threshold: p95 >= SlowdownTempC. Critical: headroom < 10°C. Report table shows both limits alongside headroom and p95 temp. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-04-16 06:45:15 +03:00
Michael Chus	a8d5e019a5	Translate report to English; add power anomaly detector All report strings are now English only. Add detectPowerAnomaly: scans steady-state metric rows per GPU with a 5-sample rolling baseline; flags a sudden drop ≥30% while GPU usage >50% as [HARD STOP] — indicates bad cable contact or VRM fault. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-04-16 06:42:00 +03:00
Michael Chus	72ec086568	Restructure benchmark report as balanced scorecard (5 perspectives) Split throttle into separate signals: ThermalThrottlePct, PowerCapThrottlePct, SyncBoostThrottlePct. Add TempHeadroomC (100 - p95_temp) as independent thermal headroom metric; warning < 20°C (>80°C), critical < 10°C (>90°C). Hard stop findings: thermal throttle with fans < 95%, ECC uncorrected errors, p95 temp > 90°C. Throttle findings now include per-type percentages and diagnostic context. Replace flat scorecard table with BSC 5-perspective layout: 1. Compatibility (hard stops: thermal+fan, ECC) 2. Thermal headroom (p95 temp, delta to 100°C, throttle %) 3. Power delivery (power cap throttle, power CV, fan duty) 4. Performance (Compute TOPS, Synthetic, Mixed, TOPS/SM/GHz) 5. Anomalies (ECC corrected, sync boost, power/thermal variance) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-04-16 06:40:06 +03:00
Michael Chus	7a0b0934df	Separate compute score from server quality score CompositeScore = raw ComputeScore (TOPS). Throttling GPUs score lower automatically — no quality multiplier distorting the compute signal. Add ServerQualityScore (0-100): server infrastructure quality independent of GPU model. Formula: 0.40×Stability + 0.30×PowerSustain + 0.30×Thermal. Use to compare servers with the same GPU or flag bad server conditions. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-04-16 00:45:55 +03:00
Michael Chus	d8ca0dca2c	Redesign scoring metrics: variance-based sustain scores, throttle stability PowerSustainScore: power draw variance (CV) during load, not deviation from TDP. ThermalSustainScore: temperature variance (CV) during load. StabilityScore: fraction of time spent in thermal+power-cap throttling. Remove NCCL bonus from quality_factor. quality = 0.35 + 0.35×Stability + 0.15×PowerSustain + 0.15×ThermalSustain, cap 1.00. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-04-16 00:39:59 +03:00
Michael Chus	d90250f80a	Fix DCGM cleanup and shorten memory validate	2026-04-16 00:39:37 +03:00
Michael Chus	8d6eaef5de	Update perf benchmark report methodology to reflect new design Remove references to pre-benchmark power calibration and dcgmi targeted_power. Document platform_power_score ramp-up methodology, PowerSustainScore fallback to steady-state power, and full-budget single-precision phases. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-04-16 00:31:58 +03:00
Michael Chus	732bf4cbab	Redesign power and performance benchmarks with new methodology Power/Thermal Fit: cumulative fixed-limit ramp where each GPU's stable TDP is found under real multi-GPU thermal load (all prior GPUs running at their fixed limits). PlatformMaxTDPW = sum of stable limits across all GPUs. Remove PlatformPowerScore from power test. Performance Benchmark: remove pre-benchmark power calibration entirely. After N single-card runs, execute k=2..N parallel ramp-up steps and compute PlatformPowerScore = mean compute scalability vs best single-card TOPS. PowerSustainScore falls back to Steady.AvgPowerW when calibration absent. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-04-16 00:30:50 +03:00
Michael Chus	fa6d905a10	Tune bee-gpu-burn single-precision benchmark phases	2026-04-16 00:05:47 +03:00
Mikhail Chusavitin	5c1862ce4c	Use lb clean --all to clear bootstrap cache on every build Prevents stale debootstrap cache from bypassing --debootstrap-options changes (e.g. --include=ca-certificates added in v8.15). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-04-15 17:37:08 +03:00