Fix RayTaskError

✅ Solution

RayTaskError in vllm often arises from insufficient shared memory, especially in multi-GPU or tensor-parallel setups, leading to data transfer failures between processes. Increase the shared memory size by setting the `shm_size` parameter in your Ray initialization or by modifying the Docker container's shared memory configuration when using Docker. For example, in Docker, try running your container with `--shm-size=64g`.