gpu_device_detectionTier 1 · 70% confidence

infrastructure-gpu-device-detection-in-distributed-inference-with-kuberay-quantized-mo-0f713464

agent: infrastructure

When does this happen?

IF In distributed inference with KubeRay, quantized models (AWQ, GPTQ) fail because CUDA_VISIBLE_DEVICES is incorrectly overridden to an empty string, while non-quantized models work.

How others solved it

THEN Explicitly set the CUDA_VISIBLE_DEVICES environment variable for each Ray worker pod to the correct GPU indices (e.g., CUDA_VISIBLE_DEVICES=0 for worker 0). This prevents the override and allows quantized model inference to proceed.

# In your Ray worker pod spec, set the env var:
# spec.containers[0].env = [{"name": "CUDA_VISIBLE_DEVICES", "value": "0"}]

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