Thank you for your clarification. According to metal doc Tensorflow Plugin - Metal - Apple Developer 173, only a single GPU can be utilised by metal backend currently. So a larger number of GPU cores on M1 Max doesn’t provide much advantage for TensorFlow, should I do not use distributed training with multiple containers. Am I right? And is it even possible to use multiple metal pods with minikube on M1 Max?