bug: lmCacheConfig with Blackwell 6000 pro and CUDA 13

Describe the bug

Hi,

Could you please release a vLLM Docker image with CUDA 13? The current images still use CUDA 12.8, and for compatibility with the latest Blackwell GPU we need CUDA 13.

Thanks,
Morgan

To Reproduce

Deploy gpt-oss-120b under 2 blackwell 6000 pro with lmcache/vllm-openai:v0.4.2 and lmCacheConfig to true :

(EngineCore_DP0 pid=100) ERROR 03-24 14:38:36 [core.py:1102] RuntimeError: Worker failed with error 'CUDA error: no kernel image is available for execution on the device
(EngineCore_DP0 pid=100) ERROR 03-24 14:38:36 [core.py:1102] Search for `cudaErrorNoKernelImageForDevice' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information.
(EngineCore_DP0 pid=100) ERROR 03-24 14:38:36 [core.py:1102] CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.

Expected behavior

No response

Additional context

No response

Start with the deployment using lmcache/vllm-openai:v0.4.2 on two Blackwell 6000 Pro GPUs and inspect how the production Docker image selects its CUDA base. Use the reported failure at core.py:1102 as the reproduction signal. Done means a released CUDA 13 image runs gpt-oss-120b with lmCacheConfig enabled without the no-kernel-image error.