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Vllm Nvidia Hardware

Category: General  ·  Sub-category: knowledge-mgmt  ·  Last updated:
ai:llm
NVIDIA AI-hardware + vLLM-platform reference covering Hopper (H100/H200), Blackwell (B100/B200/B300) and Blackwell Ultra, Grace-Blackwell superchips and NVL72 racks (GB200, GB300), Vera Rubin (R100/R300) with VR200 NVL144 and Kyber NVL576, Dell PowerEdge XE family and IR5000/IR7000/IR9048 racks. Per-SKU HBM, FP4/FP8/FP16 TFLOPs, NVLink5, TDP, rack power/cooling (135 kW GB300, 180-220 kW NVL144, 600 kW Kyber), DLC vs RDHx, 800 VDC HVDC. Memory-wall roofline, HBM3E→HBM4 supply 2026. vLLM attention-backend × SM matrix, FP4/FP8 paths, KV connectors, Blackwell gotchas (SM103 TRTLLM hang, 270 vs 288 GB B300 bin split).
Security AStatic scan found no risk patternsHow grading works ›

From the source SKILL.md

Target audience: operators who run vLLM on NVIDIA datacenter GPUs, sizing from single H100 nodes up to GB300 NVL72 racks, and evaluating Vera Rubin for 2026–2027 purchases.

What this skill does

Vllm Nvidia Hardware is a community-contributed Claude Code skill in the knowledge-mgmt sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/vllm-nvidia-hardware/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The Vllm Nvidia Hardware Claude Code skill is built for Claude Code users and developers across all disciplines looking for general-purpose AI assistance. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 152,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/vllm-nvidia-hardware
curl -L https://claudskills.com/skills/vllm-nvidia-hardware/SKILL.md \
  -o ~/.claude/skills/vllm-nvidia-hardware/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/vllm-nvidia-hardware/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/vllm-nvidia-hardware/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\vllm-nvidia-hardware\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Telegram

📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

Frequently asked questions

How do I install the Vllm Nvidia Hardware Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/vllm-nvidia-hardware/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Vllm Nvidia Hardware skill do?
NVIDIA AI-hardware + vLLM-platform reference covering Hopper (H100/H200), Blackwell (B100/B200/B300) and Blackwell Ultra, Grace-Blackwell superchips and NVL72 racks (GB200, GB300), Vera Rubin (R100/R300) with VR200 NVL144 and Kyber NVL576, Dell PowerEdge XE family and IR5000/IR7000/IR9048 racks. Per-SKU HBM, FP4/FP8/FP16 TFLOPs, NVLink5, TDP, rack power/cooling (135 kW GB300, 180-220 kW NVL144, 600 kW Kyber), DLC vs RDHx, 800 VDC HVDC. Memory-wall roofline, HBM3E→HBM4 supply 2026. vLLM attention-backend × SM matrix, FP4/FP8 paths, KV connectors, Blackwell gotchas (SM103 TRTLLM hang, 270 vs 288 GB B300 bin split).
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Vllm Nvidia Hardware skill?
Use Vllm Nvidia Hardware when your Claude Code task falls under the General category — specifically in the knowledge mgmt area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Vllm Nvidia Hardware" or describe the task and let Claude pick). Browse related skills at /category/general/.
What is a Claude Code skill and how does the Vllm Nvidia Hardware skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Vllm Nvidia Hardware is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the General category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
air-gapped. (2026). Vllm Nvidia Hardware [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/vllm-nvidia-hardware/
BibTeX
@misc{vllm-nvidia-hardware-2026,
  author    = {air-gapped},
  title     = {Vllm Nvidia Hardware [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/vllm-nvidia-hardware/}
}

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Security scan

Grade A · scanned 2026-07-16 — free static scan against the OWASP Agentic Skills Top 10.

No risk patterns were found in any of the ten OWASP-aligned categories. How grading works ›

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