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Anthropic Policy Chief: AI Safety Can’t Rely on an Honor Code57m ago What to expect during the ‘Rethinking Private Cloud’ event: Join theCUBE on Sept. 2339m ago “Everyone’s in a race to replace GitHub”: Zed launches Delta because agents made pull requests obsolete40m ago Northwest Bancshares puts oversight at the center of AI spending46m ago Reid Hoffman dismisses AI doomers: 'Look at me, I'm Cassandra'49m ago AI evaluator: The most important AI job in history? How developers might fill the proposed new job54m ago xAI Adds Cross-Session Memory to Grok Build Coding Agent1h ago I Trained a Fly’s Brain to Generate WIRED Story Ideas1h ago Improving HCLS AI reasoning with open-source agent skills1h ago Fault tolerant distributed training on Amazon EKS using NVRx1h ago AI’s trillion-dollar question: What happens if the boom slows?2h ago Andrew Johnson, CEO of Yardstik – Interview Series2h ago South Korea Can’t Afford to Slow AI Progress, Deputy PM Says2h ago Endra Launches AI Electrical Design Tool and Buys Swiss Lab Planlabs2h ago

Machine Learning Chips & Compute15 min reading time

Fault tolerant distributed training on Amazon EKS using NVRx

AWS BlogPublished 1 hour ago

NVIDIA's Resiliency Extension (NVRx) integrates with PyTorch Fully Sharded Data Parallel training on Amazon EKS to improve fault tolerance in large-scale distributed GPU training. It enables asynchronous checkpointing and rapid recovery from faults, reducing idle GPU time and speeding up training on multi-node clusters.

#amazon-elastic-kubernetes-service #distributed-training #gpu-computing #nvidia #nvrx #pytorch

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