Training ML Models Across AWS Regions Without the Performance Hit

Amazon SageMaker HyperPod and Qumulo now let you split your ML training setup—compute in one region, data in another—without sacrificing speed. The architecture achieves near co-located throughput after NeuralCache warms up, giving you flexibility in where you store and process your datasets.