DeepSpeed 不只 ZeRO：PyTorchCon 将详解 AutoTP、AutoSP、AutoEP 并行方案
DeepSpeed 常被当成只做 ZeRO 显存优化，这场演讲会讲它的自动张量、序列、专家并行，还带基准数据，做大模型训练的可以看看。
在 PyTorch Conference North America 2026 上，Masahiro Tanaka 将介绍 DeepSpeed 中的张量并行、序列并行和专家并行能力，包括 AutoTP、AutoSP、AutoEP 三个自动化特性。演讲会演示这些能力如何与 ZeRO 结合使用，并分析不同并行策略的适用场景。会中还将展示相关训练吞吐量基准测试数据。
Think @DeepSpeedAI is only good for ZeRO and its usability, not training throughput?
At #PyTorchCon North America 2026, Masahiro Tanaka will cover tensor, sequence, and expert parallelism in DeepSpeed and walk through benchmarks.
His session, “DeepSpeed Is Not Just ZeRO: Tensor, Sequence, and Expert Parallelism with ZeRO-Level Usability,” will cover AutoTP, AutoSP, and AutoEP, how these capabilities can be combined with ZeRO, and where each parallelism strategy fits.
Register for PyTorch Conference North America 2026: https://t.co/jBApW8ocHQ
