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Clusters vs single nodes: which to use for training and inference
When to fine-tune on one machine versus scaling across many nodes — how PyTorch DDP, DeepSpeed and Horovod handle data partitioning and gradient sync, with Kubernetes/Slurm scheduling, illustrated on Nebius GPU infrastructure.aicloud
The full write-up lives on the original source — use the link above to read it.