CoreWeave Core Workflow: GPU Training Overview Run distributed GPU training on CoreWeave: single-node multi-GPU and multi-node training with PyTorch DDP, Slurm-on-Kubernetes, and shared storage. Prerequisites - CKS cluster with multi-GPU node pools (8xA100 or 8xH100) - Shared storage (CoreWeave PVC or NFS) - Training container with PyTorch and NCCL Instructions Step 1: Single-Node Multi-GPU Training Step 2: Persistent Storage for Training Data Step 3: Monitor Training Progress Error Handling | Error | Cause | Solution | |-------|-------|----------| | NCCL timeout | Network issue between GPUs…