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Add NVIDIA stress loader selection and DCGM 4 support

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This commit is contained in:
Mikhail Chusavitin
2026-03-31 11:15:15 +03:00
parent 20f834aa96
commit 6dee8f3509
31 changed files with 789 additions and 111 deletions
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15
bible-local/architecture/runtime-flows.md
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@@ -81,9 +81,9 @@ build-in-container.sh [--authorized-keys /path/to/keys]
7. `build-cublas.sh`:
a. download `libcublas`, `libcublasLt`, `libcudart` runtime + dev packages from the NVIDIA CUDA Debian repo
b. verify packages against repo `Packages.gz`
c. extract headers for `bee-gpu-stress` build
c. extract headers for `bee-gpu-burn` worker build
d. cache userspace libs in `dist/cublas-<version>+cuda<series>/`
8. build `bee-gpu-stress` against extracted cuBLASLt/cudart headers
8. build `bee-gpu-burn` worker against extracted cuBLASLt/cudart headers
9. inject NVIDIA `.ko` → staged `/usr/local/lib/nvidia/`
10. inject `nvidia-smi` → staged `/usr/local/bin/nvidia-smi`
11. inject `libnvidia-ml` + `libcuda` + `libcublas` + `libcublasLt` + `libcudart` → staged `/usr/lib/`
@@ -104,7 +104,7 @@ Build host notes:
1. `build-in-container.sh` / `build-nvidia-module.sh` — Debian kernel headers for module build
2. `auto/config` — `linux-image-${DEBIAN_KERNEL_ABI}` in the ISO
- NVIDIA modules go to staged `usr/local/lib/nvidia/` — NOT to `/lib/modules/<kver>/extra/`.
- `bee-gpu-stress` must be built against cached CUDA userspace headers from `build-cublas.sh`, not against random host-installed CUDA headers.
- `bee-gpu-burn` worker must be built against cached CUDA userspace headers from `build-cublas.sh`, not against random host-installed CUDA headers.
- The live ISO must ship `libcublas`, `libcublasLt`, and `libcudart` together with `libcuda` so tensor-core stress works without internet or package installs at boot.
- The source overlay in `iso/overlay/` is treated as immutable source. Build-time files are injected only into the staged overlay.
- The live-build workdir under `dist/` is disposable; source files under `iso/builder/` stay clean.
@@ -153,18 +153,17 @@ Current validation state:
Every collector returns `nil, nil` on tool-not-found. Errors are logged, never fatal.
Acceptance flows:
- `bee sat nvidia` → diagnostic archive with `nvidia-smi -q` + `nvidia-bug-report` + mixed-precision `bee-gpu-stress`
- `bee sat nvidia` → diagnostic archive with `nvidia-smi -q` + `nvidia-bug-report` + lightweight `bee-gpu-burn`
- NVIDIA GPU burn-in can use either `bee-gpu-burn` or `bee-john-gpu-stress` (John the Ripper jumbo via OpenCL)
- `bee sat memory` → `memtester` archive
- `bee sat storage` → SMART/NVMe diagnostic archive and short self-test trigger where supported
- SAT `summary.txt` now includes `overall_status` and per-job `*_status` values (`OK`, `FAILED`, `UNSUPPORTED`)
- `bee-gpu-stress` should prefer cuBLASLt GEMM load over the old integer/PTX burn path:
- `bee-gpu-burn` should prefer cuBLASLt GEMM load over the old integer/PTX burn path:
- Ampere: `fp16` + `fp32`/TF32 tensor-core load
- Ada / Hopper: add `fp8`
- Blackwell+: add `fp4`
- PTX fallback is only for missing cuBLASLt/userspace or unsupported narrow datatypes
- Runtime overrides:
- `BEE_GPU_STRESS_SECONDS`
- `BEE_GPU_STRESS_SIZE_MB`
- `BEE_MEMTESTER_SIZE_MB`
- `BEE_MEMTESTER_PASSES`
@@ -179,6 +178,6 @@ Web UI: Acceptance Tests page → Run Test button
```
**Critical invariants:**
- `bee-gpu-stress` uses `exec.CommandContext` — killed on job context cancel.
- `bee-gpu-burn` / `bee-john-gpu-stress` use `exec.CommandContext` — killed on job context cancel.
- Metric goroutine uses stopCh/doneCh pattern; main goroutine waits `<-doneCh` before reading rows (no mutex needed).
- SVG chart is fully offline: no JS, no external CSS, pure inline SVG.

6
bible-local/architecture/system-overview.md
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@@ -21,8 +21,8 @@ Fills gaps where Redfish/logpile is blind:
- Read-only hardware inventory: board, CPU, memory, storage, PCIe, PSU, GPU, NIC, RAID
- Machine-readable health summary derived from collector verdicts
- Operator-triggered acceptance tests for NVIDIA, memory, and storage
- NVIDIA SAT includes both diagnostic collection and mixed-precision GPU stress via `bee-gpu-stress`
- `bee-gpu-stress` should exercise tensor/inference paths (`fp16`, `fp32`/TF32, `fp8`, `fp4` when supported by the GPU/userspace stack) and fall back to Driver API PTX burn only if cuBLASLt is unavailable
- NVIDIA SAT includes diagnostic collection plus a lightweight in-image GPU stress step via `bee-gpu-burn`
- `bee-gpu-burn` should exercise tensor/inference paths (`fp16`, `fp32`/TF32, `fp8`, `fp4` when supported by the GPU/userspace stack) and fall back to Driver API PTX burn only if cuBLASLt is unavailable
- Automatic boot audit with operator-facing local console and SSH access
- NVIDIA proprietary driver loaded at boot for GPU enrichment via `nvidia-smi`
- SSH access (OpenSSH) always available for inspection and debugging
@@ -70,7 +70,7 @@ Fills gaps where Redfish/logpile is blind:
| SSH | OpenSSH server |
| NVIDIA driver | Proprietary `.run` installer, built against Debian kernel headers |
| NVIDIA modules | Loaded via `insmod` from `/usr/local/lib/nvidia/` |
| GPU stress backend | `bee-gpu-stress` + cuBLASLt/cuBLAS/cudart mixed-precision GEMM, with Driver API PTX fallback |
| GPU stress backend | `bee-gpu-burn` + cuBLASLt/cuBLAS/cudart mixed-precision GEMM, with Driver API PTX fallback |
| Builder | Debian 12 host/VM or Debian 12 container image |
## Operator UX