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August, 2025

August 13, 2025No Comments

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

Watch the full recording

 

 

Agentic AI Summit

August 2 – Berkeley, CA

Watch the workshops

 

 

 

vLLM Beijing Meetup: Advancing Large-scale LLM Deployment

August 2 – Beijing, China

Read the recap blog

 

 

 

Accelerating DLRMv2 Inference on Arm Neoverse CPUs with PyTorch

June 12 – Virtual

Watch the full recording

 

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.

Interested in contributing?
Learn about the Cloud Credits Program

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