Content by vinilv (3)

vinilv explains how to upgrade Azure CycleCloud Slurm node OS images without recreating the entire VM Scale Set. The walkthrough separates cluster configuration, scale-set models, and instance state, then covers draining nodes, applying updates, validating HPC dependencies, rolling back failures, and aligning CycleCloud configuration while acknowledging node downtime and capacity limitations.

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.