TorchPass
AssessTools
Fault-tolerance product that live-migrates GPU training state to keep model training running after failures.
Why it's here
Placed in Assess: 5 article(s) of evidence from 2 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 56%.
Evidence (5)
- 3Hugging Face Blog·7/10/2026researchProfiling Attention in PyTorch
This Hugging Face blog post continues a profiling series by examining how attention appears in PyTorch profiler traces. It walks through naive causal attention and shows how discrete operations such as matmul, masking, softmax, and scaling are represented during execution.
- 7The New Stack·7/1/2026product_launchClockwork launches a guarantee to avoid AI training restarts
Clockwork introduced its YOCO Guarantee, promising that 90% of failures on supported training runs will be recovered without losing progress, rolling back checkpoints, or recomputing work. The offer is built on TorchPass, a fault-tolerance product that can live-migrate GPU training state to a healthy spare or lower-priority node, with recovery ranging from seconds to a few minutes depending on the mode used.
- 3Hugging Face Blog·6/11/2026researchProfiling PyTorch Linear Layers and Fused MLPs
This Hugging Face blog post continues a series on reading PyTorch profiler traces, focusing on replacing a manual matmul-plus-bias pattern with nn.Linear and then stacking layers into an MLP. It explains how PyTorch handles transposition, addmm, and kernel launches, and uses profiling to motivate performance optimizations such as fused MLPs.
- 4Hugging Face Blog·5/29/2026framework_updateA Beginner’s Guide to torch.profiler in PyTorch
Hugging Face Blog introduces the first part of a series on profiling in PyTorch, focused on helping beginners read profiler traces and understand how Python calls map to CPU and CUDA activity. The article explains how to use torch.profiler, interpret its tables and traces, and observe what changes when torch.compile is applied.
- 7Hugging Face Blog·1/20/2026model_releaseOverworld launches Waypoint-1 real-time interactive video diffusion
Overworld introduced Waypoint-1, a real-time interactive video diffusion model that can be controlled with text, mouse, and keyboard input. The company also released Waypoint-1 weights on the Hub and described WorldEngine, its Python inference library optimized for low-latency interactive streaming.