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786f63c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | # ROCm / AMD Developer Cloud Feedback
## What worked well
- The ROCm-enabled vLLM container gives developers a clear serving path for AMD Instinct GPUs.
- AMD Developer Cloud is well aligned with hackathon demos because developers can avoid local GPU setup.
- Qwen3-Coder-Next on AMD Instinct is a strong story for repo-level coding agents.
## Friction points to document during the live run
- Exact VM image, ROCm version, and Docker image should be easy to capture in benchmark logs.
- Users need obvious examples for replacing NVIDIA container flags and monitoring commands.
- More migration examples for common CUDA-first PyTorch repos would reduce onboarding time.
## Suggested product improvement
Publish a small official CUDA-to-ROCm migration checklist for PyTorch, vLLM, and Hugging Face inference projects, with copyable Docker commands for AMD Developer Cloud.
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