Debugging GKE GPU configuration
Troubleshooting GPU configuration on GKE can be painful. I explain how to troubleshoot GPU configuration issues in Google Kubernetes Engine (GKE) when running PyTorch workloads, emphasizing the importance of ensuring compatibility between Nvidia drivers, CUDA, and PyTorch. I outline a systematic approach to debug and verify that the GPU is recognized within the container and that PyTorch can access the GPU resources correctly.