PyTorchCon 北美 2026 五场开发者推荐场次一览
NVIDIA 的 Chris Hoge 挑了 5 场 PyTorchCon 演讲，MoE 通信优化和 CUDA graphs 那几场对做训练性能的人挺实用。
PyTorch 生态工作组联合主席、NVIDIA 的 Chris Hoge 为 PyTorchCon 北美 2026 挑出 5 场面向开源训练与性能优化的演讲。他将主讲 PyTorch Ecosystem Landscape 的申请流程与项目生命周期管理。NVIDIA 工程师场次包括隐藏 MoE 训练中的专家并行通信、参数化动态 shape 的 CUDA graphs、用 PyTorch Symmetric Memory 构建融合计算通信 kernel，以及把 PyTorch 数据加载器提速 10 倍。
Looking for sessions to catch at #PyTorchCon North America 2026? Chris Hoge (@nvidia), co-chair of the PyTorch Ecosystem Working Group, highlights five talks for developers working on open source training and performance.
Hoge will co-present “Ecosystem Working Group: Unlocking Community Impact Through the PyTorch Landscape,” covering what the PyTorch Ecosystem Landscape is, how projects can apply for ecosystem status, and how lifecycle management works for Landscape projects.
He also highlights sessions featuring NVIDIA engineers on hiding expert parallel communication in Mixture-of-Experts training, parameterized dynamic-shaped CUDA graphs, building fused compute-communication kernels with PyTorch Symmetric Memory, and scaling PyTorch data loaders by a factor of 10.
Register for PyTorch Conference North America 2026: https://t.co/jBApW8nESi