gpu-containers
Use when the user needs to configure Docker/container environments for GPU workloads, mentions CUDA, ROCm, GPU passthrough, or asks about running PyTorch/TensorFlow in containers. Configures NVIDIA/AMD GPU runtime access, selects compatible base images, and validates single/multi-GPU container execution.
Pinned to revision 1bca4bbdf059, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/gpu-containers/SKILL.md
- skills/gpu-containers/assets/cuda-dockerfile.dockerfile
- skills/gpu-containers/assets/rocm-dockerfile.dockerfile
- skills/gpu-containers/references/amd-rocm-setup.md
- skills/gpu-containers/references/gpu-validation-and-operations.md
- skills/gpu-containers/references/nvidia-cuda-setup.md
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