Welcome to the PyTorch monthly newsletter!
Your go-to source for the latest updates, events, and community insights to build and innovate with PyTorch Foundation.
PyTorch 2.6 Release
Release blog and notes now available
We’re excited to announce the release of PyTorch 2.6! This release features multiple improvements for PT2. torch.compile can now be used with Python 3.13; new performance-related knob `torch.compiler.set_stance`; several AOTInductor enhancements. Besides the PT2 improvements, another highlight is FP16 support on X86 CPUs.
PyTorch 2.6 Live Q&A Webinar – February 7, 2025:
Questions surrounding the 2.6 release? Join us for a live Q&A on PyTorch 2.6 with PyTorch Core Maintainer, Nikita Shulga (Meta). Nikita is a Software Engineer at Meta where Nikita is, among other things, responsible for PyTorch releases and continuous integration. Nikita is committed to uplifting the developer community and continuously improving PyTorch. Nikita earned a Master’s in Applied Mathematics from the Moscow Institute of Physics and Technology (MIPT). Bring your PyTorch 2.6 questions for Nikita during this live Q&A session.
Recent Blogs, Community Blogs, & Case Studies
Blog: 2025 Priorities for the PyTorch Technical Advisory Council (TAC)
Case Study: How Intel Uses PyTorch to Empower Generative AI through Intel Arc GPUs
Community Blog: Bringing the PyTorch Community Together
PyTorch Grows as the Dominant Open Source Framework for AI and ML: 2024 Year in Review
More from PyTorch Blog & News:
- GenAI Acceleration for PyTorch 2.5 on Intel® Xeon®Processors
- Integrating Ascend Backend with Torchtune through PyTorch Multi-Device Support
- High-Performance Low-Bit Operators for PyTorch
- docTR joins PyTorch Ecosystem: From Pixels to Data, Building a Recognition Pipeline with PyTorch and docTR
- torchcodec: Easy and Efficient Video Decoding for PyTorch
Upcoming Events & Webinars
What’s on the horizon?
Webinar: PyTorch 2.6 Release Live Q&A
Join us for a live Q&A on PyTorch 2.6 with PyTorch Core Maintainer, Nikita Shulga (Meta). Bring your PyTorch 2.6 questions for Nikita during this live Q&A session.
Webinar: PyTorch Expert Exchange: Multi-Modal Tabular Deep Learning with PyTorch Frame: Akihiro Nitta will introduce PyTorch Frame, a modular framework for multi-modal tabular deep learning. The February 19 webinar will highlight its specialized data structures for efficiently handling sparse features, making PyTorch Frame an essential tool for modern tabular data.
PyTorch Conference 2025: Save the date! October 22-23, 2025 in San Francisco, learn about AI and PyTorch, the cutting-edge renowned open source machine learning framework. This two-day event brings together top-tier researchers, developers, and academic communities, fostering collaboration and advancing end-to-end machine learning.