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Introducing TorchPass Snapshots: Protect training progress. Free up GPU capacity. No training-code changes.

Launching YOCO (You Only Compute Once): Industry’s First Contractual Guarantee To End GPU Waste In AI Training

Replay the Webinar: Navigating Networking Transitions Shaping AI Infra Economics: Scaling Up, Out, and Across

Play SemiAnalysis-Clockwork Webinar: Comparing Fault Tolerance Frameworks & TCO Impact

White Papers

TorchPass Snapshots
Platform-Controlled Snapshots for Distributed Training
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TorchPass for Resilient Distributed Training
Live GPU Migration for Resilient Distributed Training
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LinkPass
Keeping AI training, Reinforcement Learning and Inference Running Through Network Link Failures
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Clockwork Fleet Monitoring
A Layered Architecture for GPU Network Observability
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Research Papers

Clock Synchronization
NSDI 2018
Exploiting a Natural Network Effect for Scalable, Fine-grained Clock Synchronization
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Network Measurement
NSDI 2019
SIMON: A Simple and Scalable Method for Sensing, Inference and Measurement in Data Center Networks
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Congestion Management
NSDI 2021
Breaking the Transience-Equililbrium Nexus: A New Approach to Data Center Packet Transport
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Launching an industry first: TorchPass Snapshots.

Save every node.
No code changes.

Also new: Async Application Checkpoints for faster RL.

Learn more