Content by vinilv (2)

vinilv shows how to build a small, two-node kubeadm Kubernetes cluster on Azure using an N-series GPU VM, then validate GPU scheduling with the NVIDIA device plugin and a PyTorch CUDA test Job. The guide focuses on a transparent dev sandbox for debugging GPU workloads rather than a production-ready design.

vinilv explains how to run a fast, user-space “preflight” on Azure HPC GPU clusters to catch common distributed training failures early. The post introduces ai-cluster-validator and walks through validating Slurm topology, PyTorch DDP initialization, GPU affinity, and NCCL collectives, with actionable logs and telemetry for ops teams.