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Update vllm_deployment_guide.md for the AMD GPU support #32

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Update vllm_deployment_guide.md for the AMD GPU support
haic0 Sep 10, 2025
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Update vllm_deployment_guide.md
haic0 Sep 13, 2025
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Expand Up @@ -151,6 +151,35 @@ cd vllm/
pip install -e .
```

### AMD GPU Support
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It’s best to use ## AMD GPU Support; otherwise, this section will be considered part of the Common Issues chapter.

### Please follow the steps here to install and run MiniMax-M1 models on AMD MI300X GPU.
### Step By Step Guide
#### Step 1
Launch the Rocm-vllm docker:

```shell
docker pull rocm/vllm-dev:nightly

docker run -d -it --ipc=host --network=host --privileged --cap-add=CAP_SYS_ADMIN --device=/dev/kfd --device=/dev/dri --device=/dev/mem --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v /:/work -e SHELL=/bin/bash --name vllm_minimax rocm/vllm-dev:nightly
```

#### Step 2
Huggingface login

```shell
huggingface-cli login
```


#### Step 3
Run the vllm online serving
Sample Command

```shell
SAFETENSORS_FAST_GPU=1 VLLM_USE_V1=0 vllm serve MiniMaxAI/MiniMax-M1-80k -tp 8 --gpu-memory-utilization 0.95 --no-enable-prefix-caching --trust-remote-code --max_model_len 4096 --dtype bfloat16
```


## 📮 Getting Support

If you encounter any issues while deploying MiniMax-M1 model:
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