jetson-llm-serve
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.
npx skills add NVIDIA/skills --skill jetson-llm-serve --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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:26.0
What does the jetson-llm-serve skill do?
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.
How do I install it?
Run `npx skills add NVIDIA/skills --skill jetson-llm-serve --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From NVIDIA/skills, a repository with 2,789 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.