We’re thrilled to announce that the Kubeflow Trainer project has been integrated into the PyTorch ecosystem! This integration ensures that Kubeflow Trainer aligns with PyTorch’s standards and practices, giving developers a reliable, scalable, and community-backed solution to run PyTorch on Kubernetes.| pytorch.org
Before you begin You must use a kubectl version that is within one minor version difference of your cluster. For example, a v1.33 client can communicate with v1.32, v1.33, and v1.34 control planes. Using the latest compatible version of kubectl helps avoid unforeseen issues. Install kubectl on macOS The following methods exist for installing kubectl on macOS: Install kubectl on macOS Install kubectl binary with curl on macOS Install with Homebrew on macOS Install with Macports on macOS Verify...| Kubernetes
GETTING STARTED| kubernetes.io