Files
grace-gpu-containers/vllm
biondizzle 360b0dea58 Restore CUDA 13.0.1 + patch vLLM for cuMemcpyBatchAsync API change
CUDA 13 removed the fail_idx parameter from cuMemcpyBatchAsync.
Patch cache_kernels.cu to match new API signature instead of downgrading.

- Restore CUDA 13.0.1, PyTorch 2.9.0+cu130, flashinfer cu130
- Patch: remove fail_idx variable and parameter from cuMemcpyBatchAsync call
- Simplify error message to not reference fail_idx
2026-04-03 07:53:12 +00:00
..
2025-10-23 18:11:41 +00:00

VLLM images for GH200

Hosted here

 docker login
# Alternative
# docker buildx build --platform linux/arm64 --memory=600g -t rajesh550/gh200-vllm:0.9.0.1 .
 docker build --memory=450g --platform linux/arm64 -t rajesh550/gh200-vllm:0.11.1rc2 . 2>&1 | tee build.log 
 docker push rajesh550/gh200-vllm:0.11.1rc2