AWS ML Blog
Multi-Region training with Amazon SageMaker HyperPod and Qumulo
✦TL;DR
Amazon SageMaker HyperPod can offload compute to a remote AWS Region while keeping the training dataset in a different region, and when combined with Qumulo’s cloud‑native file system the remote cluster achieved throughput parity with a co‑located cluster. The architecture relies on HyperPod’s high‑bandwidth interconnect and Qumulo’s low‑latency NFS access, enabling a cross‑region training pipeline that incurs minimal network overhead. This demonstrates that large‑scale, distributed training can span regions without
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