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gpu_allocation
infrastructure-gpu-allocation-vllm-quantized-models-awq-etc-fail-in-kuberay-dist-fc5726de
IFvLLM quantized models (AWQ, etc.) fail in KubeRay distributed inference with CUDA_VISIBLE_DEVICES being reset to empty, causing 'no CUDA devices' error.
THENSet the CUDA_VISIBLE_DEVICES environment variable explicitly before starting the vLLM process in each Ray worker pod. Use a value matching the GPUs assigned to that pod (e.g., "0" for a single GPU). For distributed inference, ensure each worker sees only its own GPU(s) via this variable. This overrides the internal reset that occurs in vLLM 0.5.5+ during quantization config verification.
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