4c0aadbb5e
Opt-in overlays under docker/ that pass the host GPU into the odysseus container. Pick one in .env: COMPOSE_FILE=docker-compose.yml:docker/gpu.nvidia.yml COMPOSE_FILE=docker-compose.yml:docker/gpu.amd.yml Non-GPU users are unaffected (no default merge). README now points at the overlays instead of the old ad-hoc `gpus: all` suggestion. Each overlay header notes that it only exposes the GPU devices — the slim image still needs vLLM / llama-cpp-python / etc. installed via Cookbook -> Dependencies before models can serve on GPU. Tested on Arch + Docker 29.5.1 + RTX 4090: docker compose exec odysseus nvidia-smi -L GPU 0: NVIDIA GeForce RTX 4090 (UUID: GPU-...) Cookbook hardware scan reports the 24 GB GPU and recommends GPU-fit models. `docker compose config` validates cleanly for all three COMPOSE_FILE variants (base, +nvidia, +amd). Builds on the structure proposed in #91 by @krllus with the path / docs fixes from the review on that PR. Closes #163. Co-authored-by: krllus <krllus@users.noreply.github.com>
19 lines
643 B
YAML
19 lines
643 B
YAML
# AMD ROCm GPU overlay. Enable by setting COMPOSE_FILE in .env:
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# COMPOSE_FILE=docker-compose.yml:docker/gpu.amd.yml
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#
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# Requires ROCm drivers on the host (kfd + DRI devices). The host user
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# running Docker must be in the `video` and `render` groups.
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#
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# This overlay only passes the host GPU through to the container.
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# The slim Odysseus image does not bundle ROCm userspace or inference
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# engines — install ROCm-compatible builds of vLLM / llama-cpp-python
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# via Cookbook -> Dependencies (or pip) before serving GPU models.
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services:
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odysseus:
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devices:
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- /dev/kfd
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- /dev/dri
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group_add:
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- video
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- render
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