#PyTorchDayChina# 2026 comes to Beijing on December 12, and the call for proposals is OPEN! We're accepting proposals for session presentations and Lightning Talks across the full spectrum of open source AI, PyTorch, and AI/ML. Submit by Tuesday, November 10, at 23:59 China Standard Time >>

PyTorch 2.15 is here, with 3,117 commits from 583 contributors and updates across distributed training, NVGEMM, Apple Silicon, and accelerator platform support. The release makes the rewritten NCCL backend the default and adds one-sided transports with a NIXL backend. FSDP2 and pipelining gain finer memory and communication control. It also brings faster 4-bit (NVFP4) LLM decoding on NVIDIA Blackwell GPUs, FP8 and faster decode on Apple Silicon, and broader platform support. On Thursday, November 5, at 11 AM PST, join Tristan Rice (@rice_fry), Natalia Gimelshein, Huy Do, and Jane Xu (@janeyx99) (@Meta) for a live PyTorch 2.15 Q&A, moderated by Chris Gottbrath (Gottbrath Tech). The speakers will share an overview of the release and answer community questions about PyTorch and the new capabilities in this release. 🔗 Read the release blog and register for the live Q&A:

PyTorch Ambassador and #PyTorchCon# North America 2026 program committee member Masahiro Hiramori (@mshrh3), @ME_JP_official, will be following work across on-device AI, efficient inference, voice agents, and machine learning compilers at this year’s conference. He's also looking forward to exchanging ideas with other developers and seeing what the broader PyTorch community is building. Register for PyTorch Conference North America 2026:

PyTorch moved from research labs to running enterprise AI. On Monday Oct 19, @RedHat, @NVIDIAAI, and @IBM host a day in San Jose: @vllm_project economics, @_llm_d_ at scale, and agents in production, with the @PyTorch maintainers behind them. Register:

PyTorch Conference is where the open source Al community gathers to talk about what we are all building together. Priya Nagpurkar, VP of AI Native Systems at @IBMResearch will give a keynote at #PyTorchCon# North America on @IBM & @RedHat's contributions to the PyTorch ecosystem, including exciting developments on infrastructure for out-of-tree accelerators, enablement of IBM's Spyre Accelerator, and work with Ilm-d for distributed inference. Come to the talk, meet the community, and hear what's next in open source Al. Join us in San Jose, October 20-21:

PyTorch Day Japan 2026 comes to Tokyo on December 10, and the call for proposals is officially OPEN! We're accepting proposals for session presentations and Lightning Talks across the full spectrum of open source AI, PyTorch, and AI/ML. Suggested topics include: 🚀 Sovereign AI (Local & Open Models) 🏋️ Physical AI & Edge AI 💡 PyTorch Ecosystem Submit a Proposal by September 27 at 11:59 pm JST >>

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:

PyTorch 2.13 is here, with 3,328 commits from 526 contributors and updates across FlexAttention, CuTeDSL, nn.LinearCrossEntropyLoss, torchcomms, FSDP2, Python 3.15 wheels, ROCm, Arm, and XPU. The release blog and notes cover FlexAttention on Apple Silicon with up to ~12x speedup over SDPA on sparse patterns, a deterministic backward path on CUDA, the CuTeDSL "Native DSL" backend for Inductor, nn.LinearCrossEntropyLoss to reduce peak GPU memory by up to 4x, torchcomms for large-cluster training, and FSDP2 communication overlap improvements. On July 22 at 11 a.m. PT, join @albanDesmaison (@Meta), Andrey Talman (@Meta), Piotr Bialecki (@NVIDIA), and Chris Gottbrath for a live 2.13 Q&A. 🔗 Read the release blog, and register for the live Q&A:

PyTorch Foundation supported the ExecuTorch Hackathon in San Francisco, where more than 100 participants across 20+ teams built real-time AI applications using PyTorch and ExecuTorch. Teams built on Snapdragon-powered Samsung Electronics Galaxy S25 Ultra devices, focusing on latency, offline capability, privacy-sensitive processing, energy efficiency, and real-time user experience. Congratulations to the winning teams: 1st Place: SafeScreen AI, an on-device visual safety layer 2nd Place: SixthSense, an assistive wearable that converts visual information into directional haptic signals 3rd Place: Toddle AI, a privacy-first prototype for analyzing toddler walking patterns locally The winning projects showed how local execution can support applications that require immediate feedback, limited connectivity, or sensitive data processing. Read the full recap from @matthew_d_white (PyTorch Foundation), Andrew Caples (@Meta), and Lauren Lunde (@Qualcomm):

PyTorch Foundation is a Gold Sponsor of Agentic AI Summit 2026. Matt White, CTO of PyTorch Foundation, will lead “The Open Agentic Stack,” on building AI systems with open source, open standards, and composability. 🔗