NUMA‑aware scheduling can double PyTorch throughput on multi‑socket servers
Binding processes to the correct NUMA nodes can double PyTorch throughput on multi-socket servers. The article shows how NUMA‑aware CPU‑GPU coordination reduces memory latency and boosts training speed, turning a common bottleneck into a performance lever for large‑scale deep learning workloads.