APAC/ US Opening Talks
summary
Project updates and deployments focus on concrete tools and measured outcomes: releases ship quarterly (~3,000 commits, 800+ contributors) and the 1.8 cycle reviews ~41 features; new tooling includes torch.fx for Python IR transforms and graph-mode quantization, PyTorch profiler + Kineto with a TensorBoard plugin that shows CPU→GPU traces and cuts a sample step down to ~125 ms after fixing data‑loading, beta AMD GPU support, pipeline parallelism and a DDP communication hook (PowerSGD) for distributed scaling, and TorchServe/KFServing/MLflow integrations for versioned serving and canary rollouts.
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chapters (4)
- 0:00Start
- 0:1625:33: Ritchie Ng - CEO @Hessain Matrix Research Scholar, NUS
- 25:4042:57: Joe Spisak - PyTorch Product Lead @Facebook AI
- 43:0355:08: Geeta Chauhan - AI/PyTorch Partner Engineering Head @Facebook AI








