File size: 1,255 Bytes
786f63c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
# 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.