# Xpu Container Run

> Launch a Docker container with Intel GPU access on Linux. Encodes the correct combination of --device /dev/dri, render-group access, --ipc=host, ZEAFFINITYMASK pinning, Hugging Face cache mount, and --entrypoint /bin/bash for interactive use. Use when running any Intel-XPU container (vLLM-XPU, sglang-xpu, torch-XPU, llama.cpp SYCL, etc.) and the device must be visible inside. The CUDA analogue is docker run --gpus all — Intel has no --gpus flag, you pass the Direct Rendering Manage

## Facts
- Page: https://tashan.sh/capability/plugin-intel-gpu-ai-skills-xpu-container-run
- tashan id: plugin:intel/gpu-ai-skills/xpu-container-run
- Source: https://github.com/intel/gpu-ai-skills
- Type: plugin
- Category: cloud
- tashan score: 45.0 / 100
- Adoption: 7.0
- Upkeep: 100.0
- Freshness: 99.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: Apache-2.0
- Official: no

## Install

```sh
/plugin marketplace add intel/gpu-ai-skills
/plugin install xpu-container-run@intel-model-skillpack
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

---
Measured 2026-09-13 by tashan (https://tashan.sh) from public evidence. Scorer s5.