PyTorch conferences are the open source AI community’s town square, where what’s next gets decided. At #PyTorchCon# NA 2026, Core PyTorch sessions focus on the framework itself and the engineering work shaping how it is built and extended. The program spans torch.compile and dynamic shapes, distributed communication, out-of-tree backends, the release process and CI, profiling and observability, tensor layouts, stable ABI, and accelerator backends. Featured speakers include: @AMD: Prachi Gupta @awscloud Annapurna Labs: Esha Lakhotia @Google: Claudio Basile @Huawei: Jiahao Chen and Jiahao Tan @IBM: Olivier Tardieu and Dave Grove @IBMResearch: Matthew Arnold, Antoni Viros i Martin, and Avery Blanchard @intel: Yu Guangye, Eikan Wang, Panos Kourdis, and Tanima Dey @Meta: Andrey Talman, @drisspg, @rice_fry, Kapil Sharma, Natalia Gimelshein, William Wen, Steven Troxler, @__avik, @sanketpurandare, @aditvenk, Elias Ellison, @janeyx99, Simon Layton, Laith Sakka, Angel Li, Richard Zou, and Yidi Wu @nvidia: @memorypaladin, Sreeram Potluri, and Artem Polyakov @RedHat: Subin George Malana, Jewel K M, Sean McGovern, and Christopher Leonard @amazon: Pinak Panigrahi Register by September 4 to save: Read the Core PyTorch session guide: