Announcements
PyTorch 2.8 Release Blog
Explore the latest updates in PyTorch 2.8, including new features, performance improvements, and expanded ecosystem support.
Read the release blog
2025 PyTorch Contributor Awards – Nominations Open
Help spotlight contributors driving innovation and impact in the PyTorch ecosystem. Submit a nomination by August 22.
Submit a nomination
PyTorch Conference 2025 Schedule Now Live
Explore the full lineup for PyTorch Conference 2025, taking place October 22–23 in San Francisco.
See the schedule | Register
Kubeflow Trainer Joins the PyTorch Ecosystem
This Kubernetes-native project enables scalable, distributed training of AI models and simplifies fine-tuning LLMs on Kubernetes.
Read more
Upcoming Events
PyTorch 2.8 Live Release Q&A
August 14 – Virtual
Our PyTorch 2.8 Live Q&A webinar will focus on PyTorch packaging, exploring the release of wheel variant support as a new experimental feature in the 2.8 release. This feature is designed to improve the PyTorch install experience for users once it becomes generally available. Register today
PyTorch Conference 2025
October 22-23 – San Francisco, CA
The Poster Session Call for Proposals is still open. Whether you’re a student, researcher, or practitioner, this is your chance to share your work with the PyTorch community.
Submit a proposal
Recent Events
verl: Flexible and Scalable Reinforcement Learning Library for LLM Reasoning and Tool-Calling
August 6 – Virtual
Agentic AI Summit
August 2 – Berkeley, CA
vLLM Beijing Meetup: Advancing Large-scale LLM Deployment
August 2 – Beijing, China
Accelerating DLRMv2 Inference on Arm Neoverse CPUs with PyTorch
June 12 – Virtual
Member Round-Up
Arm: Bringing Generative AI to the Masses with ExecuTorch and KleidiAI
Meta: Introducing Mixed Precision Training in Opacus
Arm, Meta: Advancing Low-Bit Operators in PyTorch and ExecuTorch: Dynamic Kernel Selection, KleidiAI, and Quantized Tied Embeddings
Hugging Face, Meta: torch.compile and Diffusers: A Hands-On Guide to Peak Performance
Member Contributions Power the PyTorch Foundation
A special thank you to PyTorch Foundation members Meta, AWS, AMD, Microsoft, and NVIDIA for supporting our CI infrastructure and ongoing development.
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Learn about the Cloud Credits Program
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