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jetson-package

Pick Jetson-compatible containers, vLLM runtime images, and Jetson AI Lab PyPI indexes; maps Orin SM 8.7 vs Thor SM 11.0 and JetPack-specific package choices.

skills/jetson-package/SKILL.md

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# Jetson Package & Environment

Agents often suggest `docker pull` images or `pip install` wheels that claim **aarch64** support but were never built for Jetson’s GPU **streaming multiprocessor (SM)** targets. On Jetson, **default to NVIDIA-curated artifacts** unless the user explicitly opts out.

## Purpose

Choose Jetson-compatible containers and Python package indexes before installing GPU-native ML stacks. This skill prevents agents from recommending generic ARM wheels or stale container tags that do not include the right CUDA, JetPack, or SM target for the device.

## When to use

- "Which Docker image / container should I use on this Jetson?"
- "Where do I get PyTorch / vLLM / CUDA wheels for Jetson?"
- "`pip install` failed" or "wrong CUDA / SM" after installing a generic ARM wheel.
- Before `docker run` or `pip install` for ML stacks on Orin or Thor.