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| # AMD Developer Cloud Runbook | |
| This runbook validates `cuda_first_repo` on AMD Developer Cloud without executing untrusted code inside the ROCmPort AI Space. | |
| ## 1. Create an AMD GPU VM | |
| Use an AMD Developer Cloud VM with an AMD Instinct GPU and ROCm-ready Docker support. | |
| ## 2. Build the ROCm container | |
| ```bash | |
| docker build -f Dockerfile.rocm -t rocmport-cuda_first_repo . | |
| ``` | |
| ## 3. Run a smoke check | |
| ```bash | |
| docker run --rm -it \ | |
| --device /dev/kfd \ | |
| --device /dev/dri \ | |
| --group-add video \ | |
| --ipc=host \ | |
| --network=host \ | |
| --security-opt seccomp=unconfined \ | |
| rocmport-cuda_first_repo | |
| ``` | |
| ## 4. Run vLLM on ROCm | |
| ```bash | |
| docker run --rm -it \ | |
| --device /dev/kfd \ | |
| --device /dev/dri \ | |
| --group-add video \ | |
| --ipc=host \ | |
| --network=host \ | |
| --security-opt seccomp=unconfined \ | |
| -v "$PWD:/workspace/cuda_first_repo" \ | |
| vllm/vllm-openai-rocm:latest \ | |
| vllm serve Qwen/Qwen3-Coder-Next-FP8 --tensor-parallel-size 1 | |
| ``` | |
| ## 5. Capture benchmark metadata | |
| ```bash | |
| rocm-smi --showproductname --showmeminfo vram --showuse | |
| python scripts/collect_benchmark_result.py --output benchmark_result.json | |
| ``` | |
| Replace `data/benchmark_result.json` with the captured result before final submission. | |