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SKILL verified MIT Self-run

Asus Esc8000 Gpu Bios Tuning

skill-soulmachine-skills-asus-esc8000-gpu-bios-tuning · by soulmachine

Apply a low-latency GPU-serving + VM-passthrough BIOS profile to ASUS ESC8000-E12P (ASMB12/AMI-BMC, Xeon 6/GNR) servers over Redfish — diff current settings, stage, reboot, verify. Use when asked to optimize/tune BIOS for GPU inference/serving, set performance power profile, enable Resize BAR / SR-IOV / disable SNC, or replicate one server's BIOS config onto another ESC8000.

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Install

$ agentstack add skill-soulmachine-skills-asus-esc8000-gpu-bios-tuning

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

ASUS ESC8000 GPU-Serving BIOS Tuning

Applies a 10-setting low-latency profile + verifies a 4-setting passthrough baseline, over Redfish. Validated on ESC8000-E12P (8× RTX PRO 6000 Blackwell, 2× Xeon 6730P, BIOS 0804). Settings are reversible until you reboot; the tool is dry-run by default.

Quick start

export BMC_PASSWORD='...'
# 1. Dry-run: show what would change on the target (no writes)
python3 scripts/tune_gpu_bios.py --target 

# 2. Stage only (reversible, no reboot) — settings pending until next boot
python3 scripts/tune_gpu_bios.py --target  --apply

# 3. Stage + reboot + verify active (the full apply)
python3 scripts/tune_gpu_bios.py --target  --apply --reboot

Two source modes (pick one)

  • Profile (default): targets come from scripts/gpu_serving_profile.json (token strings

validated on BIOS 0804 / registry S0317.8.4.0).

  • Template (most robust): copy the live values from an already-tuned reference server —

immune to BIOS-version token drift: ``bash python3 scripts/tune_gpu_bios.py --target --from-host --apply --reboot ` Prefer --from-host` when you have a known-good server (e.g. tuning a second box to match the first).

The profile (what & why)

10 tuned + 4 baseline-verified. Full rationale table in [REFERENCE.md](REFERENCE.md). Headline: Resize BAR on, EPP/EPB → Performance, Energy-Efficient-Turbo / C1E-promotion off, Workload → I/O-sensitive, Latency-Optimized on, SNC off (1 NUMA/socket), ASPM-IIO off, AC-loss → Power On. Baseline (must already hold): Above-4G on, SR-IOV on, ACS off (fast GPU P2P — flip to on only at VM adoption). VT-d has no BIOS toggle on this platform (always exposed; gate it OS-side).

Workflow checklist

  1. Confirm firmware parity first — same BIOS version on source & target, else tokens won't match

(use the asus-esc8000-firmware-upgrade skill). With --from-host, mismatched versions are flagged.

  1. Dry-run; review the diff with the operator.
  2. --apply --reboot. The reboot is GracefulShutdown → poll Off → On (this build has **no

GracefulRestart**). POST takes ~5–6 min (SNC change forces full memory retraining).

  1. Verify prints VERIFIED N/N active. The post-reboot host shows 0/N mid-POST — that's normal,

it resolves when the host republishes its BIOS map.

Gotchas (details in REFERENCE.md)

  • PATCH target is …/Bios/SD, not /Bios/Settings; needs If-Match etag (else 428).
  • PATCH returns 503 ("inventory processing") while the host is mid-boot — wait for it to settle.
  • Pace gently / single connection; a freshly-rebooted AMI BMC locks out on rapid auth (AccessDenied).
  • This only touches BIOS. The intel_iommu=on iommu=pt kernel cmdline is a separate OS-side step.

See [REFERENCE.md](REFERENCE.md) for the attribute table, rationale, and the full Redfish API notes.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.