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jetson-llm-serve

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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.

skills/jetson-llm-serve/SKILL.md

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# 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.
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