jetson-llm-serve SKILL.md skillB
jetson-llm-serve from nvidia/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia/skills/jetson-llm-serve@v0.0.1Pins v0.0.1 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- B, 16 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nvidia/skills
- Path
skills/jetson-llm-serve/SKILL.md- Versions recorded
- 1
- Latest version
- v0.0.1, committed Jun 22, 2026
- Size
- 12,090 bytes
- Repository stars
- 3,871
- License
- Apache-2.0
Stand up vLLM or SGLang serving on Jetson, using upstream vLLM on Thor and Orin JetPack 7.2+, and NVIDIA-AI-IOT vLLM on older Orin.
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
# Jetson LLM Serve Encodes the [Jetson AI Lab GenAI tutorial](https://www.jetson-ai-lab.com/tutorials/genai-on-jetson-llms-vlms/): on Orin JetPack 7.2 / L4T r39+, use upstream vLLM 0.20+ (`vllm/vllm-openai:latest`); on older Orin, pick the NVIDIA-AI-IOT prebuilt vLLM container; on Thor, use upstream vLLM 0.20+ or validated native vLLM 0.20+, and use NVIDIA SGLang 26.01 (`nvcr.io/nvidia/sglang:26.01-py3`, SGLang 0.5.5.post2) when SGLang is requested. Set MAXN, make Hugging Face credentials/cache available, and launch an OpenAI-compatible server. Works for both LLMs and VLMs. ## Purpose Provide a Jetson-appropriate serving recipe for an LLM or VLM using vLLM or SGLang, including runtime path, launch command, endpoint, and verification step. ## When to use - "Run / serve / host this model on a Jetson." - "Start a vLLM server I can hit from Open WebUI / my app." - After `jetson-inference-mem-tune` produced launch flags and the user wants to actually start the server. For recipe-only questions, answer from this document without starting containers. Run live pre-flight checks only when the user asks you to check this device or execute the deployment. ## Prerequisites …
Read the whole file at its exact version.
How to install
mdr add nvidia/skills/jetson-llm-serve@sha256:8534775ef77268e6The line at the top of this page pins the label v0.0.1, 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.
[](https://markdownregistry.com/a/art_hoa3sac4s2asb3bq)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jun 22, 2026.
Audit of the latest version
- fail: No link to a raw IP address (matched: http://0.0.0.0:8000)
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (12090 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 script tag
Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.
Source
nvidia/skills · 3,871 stars · license Apache-2.0 · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_hoa3sac4s2asb3bq GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/jetson-llm-serve GET https://markdownregistry.com/api/v1/blob/8534775ef77268e68133302a8164542cd925a6ecedea41631c6a192f72f94cf5
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.