Add GPU Lab configs, docs, and runbooks for VM303.
Mirror gpu-lab compose files and model-manager catalog from GPU-Dev; document Dockhand mapping and SGLang cutover target.
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# GPU Lab Landscape
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## Nodes
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| Host | IP | Role |
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|------|-----|------|
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| VM303 GPU-Dev | 10.0.20.106 | GPU Lab UI (:9000), inference (:8010), gateway (:8001) |
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| atc-docker01 | 10.0.21.45 | Homepage, Dockhand (:8082) |
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| Bart-GPU | — | Reference node (documented in model-manager) |
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| Mo-GPU | — | Reference node |
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## VM303 specs
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See `config/model-manager/vm-specs.json`: 4× Tesla V100 32GB, Docker with NVIDIA runtime.
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## Inference runtimes
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Only one runtime is active at a time on port **8010**:
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| Runtime ID | Engine | Compose file |
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|------------|--------|--------------|
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| `vllm-legacy-040` | vLLM 0.4.x | `compose.vllm-legacy.yml` |
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| `vllm-modern-080` | vLLM 0.8.x | `compose.vllm-modern.yml` |
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| `sglang-modern` | SGLang 0.5.12 | `compose.sglang.yml` |
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Models live under `/root/models/` on VM303 (not in git).
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## Docker data
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Images stored under `/root/docker-data` (avoid small `/var` partition).
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