nvidia-datacenter-bringup SKILL.md skillA

nvidia-datacenter-bringup from air-gapped/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add air-gapped/skills/nvidia-datacenter-bringup@git:20261027.fdaed5a

Pins git:20261027.fdaed5a in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
air-gapped/skills
Path
.claude/skills/nvidia-datacenter-bringup/SKILL.md
Versions recorded
7
Latest version
git:20261027.83a2741, committed Oct 27, 2026
First version recorded
May 21, 2026
Size
11,696 bytes
Repository stars
6
License
MIT

Bring up NVIDIA HGX/DGX datacenter GPU hosts on Ubuntu 24.04 LTS — air-gapped or connected, Secure Boot enabled. Covers B300/B200/H100/A100/L40S/L4 driver+fabricmanager+NVLSM+DOCA-OFED install order and exact package set from NVIDIA CUDA repo + DOCA repo. Triggers on B300/B200/HGX/DGX install, "fabricmanager won't start", "system not yet initialized" / cudaErrorSystemNotReady, NVLSM missing, ib_umad not loading, DOCA-OFED before NVIDIA driver, nvidia-driver-pinning-XXX, nvlink5-XXX…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# nvidia-datacenter-bringup

Opinionated greenfield recipe for **NVIDIA datacenter GPUs on Ubuntu 24.04 LTS** — get from a clean OS install to a healthy host where `nvidia-smi` reports all GPUs, `nvidia-fabricmanager` is `active (running)`, and the gpu-operator `cuda-validator` pod passes. Air-gap is the primary case; connected sites use the same packages from the same upstream URLs.

**Scope boundary.** This skill ends at a *healthy* host, not a *fast* one. Once
`cuda-validator` passes, performance work — IOMMU/hugepages/NUMA pinning, PCIe
ACS, persistence mode, the pinned-host↔GPU memcpy ceiling — belongs to the
`gpu-host-tuning` skill (same `inference-host` plugin). Do not tune here.

## Decision tree

| Question | Answer | Read |
|---|---|---|
| Has Blackwell silicon (B300/B200/B100)? | Yes | Open kernel modules **mandatory** — proprietary is unsupported [[open-modules-transition]] |
| Grace Hopper (GH200)? | Yes | Open kernel modules **mandatory** (same as Blackwell). Otherwise 8-GPU SXM path [[hopper-recipe]] |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add air-gapped/skills/nvidia-datacenter-bringup@sha256:c4b089ddff7aca36

The line at the top of this page pins the label git:20261027.fdaed5a, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_bglnnax4tvnsxbs5.svg)](https://markdownregistry.com/a/art_bglnnax4tvnsxbs5)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 7 versions of this file, between May 21, 2026 and Oct 27, 2026, about one every 27 days.

versioncommittedcommitsizeaudit
git:20261027.83a2741 latest2026-10-27 83a2741 11,696 BA view · diff
git:20261027.fdaed5a2026-10-27 fdaed5a 11,768 BA view · diff
git:20261003.72f5d9f2026-10-03 72f5d9f 11,609 BA view · diff
git:20260819.d1b7f732026-08-19 d1b7f73 11,608 BA view · diff
git:20260725.bac21bd2026-07-25 bac21bd 11,673 BA view · diff
git:20260521.c9a6d482026-05-21 c9a6d48 11,358 BA view · diff
git:20260521.36f7bb52026-05-21 36f7bb5 10,646 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (11696 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

air-gapped/skills · 6 stars · license MIT · pushed 2026-11-04 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_bglnnax4tvnsxbs5
GET https://markdownregistry.com/api/v1/resolve?ref=air-gapped/skills/nvidia-datacenter-bringup
GET https://markdownregistry.com/api/v1/blob/c4b089ddff7aca36f0fd4ae1ec58bcad24efeb9f9fc4d29f57eac4aa7e13589a

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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