PyTorch Foundation at MLSys 2025: Supporting the Future of Machine Learning Systems
The PyTorch Foundation is proud to support MLSys 2025 as a Gold Sponsor. Held May 12–15 in Santa Clara, CA, this premier conference sits at the intersection of machine learning and systems, bringing together researchers, engineers, and practitioners pushing the boundaries of scalable AI infrastructure.
Visit the PyTorch Booth
Stop by to connect with the PyTorch Foundation team, including Executive Director Matt White, and contributors from across the ecosystem. Learn more about PyTorch Foundation’s recent expansion into an umbrella foundation and the acceptance of two leading open source AI projects—vLLM and DeepSpeed.
Featured Sessions from the PyTorch Ecosystem
Extreme PyTorch: Inside the Most Demanding ML Workloads—and the Open Challenges in Building AI Agents to Democratize Them
Speaker: Soumith Chintala
Monday, May 12 | 9:30–10:30 a.m. PT | Mission City Ballroom
In this talk, Soumith Chintala will explore how cutting-edge users are pushing PyTorch to its limits, from planetary-scale training on interactive supercomputers to ultra-efficient, real-time inference on exotic hardware. These power users offer a unique window into today’s most demanding ML systems challenges. Chintala will also examine a bold idea that’s top of mind at this conference: using AI agents to automate a large portion of the work these users currently perform. He will outline the open challenges in building such agents and share concrete opportunities for open collaboration toward making SysML AI agents a reality.
An AI Stack: From Scaling AI Workloads to Evaluating LLMs
Speaker: Ion Stoica
Tuesday, May 13 | 10:30–11:30 a.m. PT | Mission City Ballroom
Ion Stoica will discuss how large language models (LLMs) are enabling new applications, intensifying GPU shortages, and raising concerns about output accuracy. He will present several projects developed to address these challenges, focusing on: (i) Ray, a distributed framework for scaling AI workloads; (ii) vLLM and SGLang, two high-throughput inference engines for LLMs; and (iii) Chatbot Arena, a platform for accurate LLM benchmarking. The session will conclude with key lessons learned and directions for future research.
Additional Highlight
PyTorch Foundation Executive Director Matt White will also deliver a lightning talk during a PhD-focused session at the conference on the value of open source AI and the mission and value of the PyTorch Foundation.
We look forward to an engaging week of learning, collaboration, and technical exchange with the systems and ML research communities.
Learn more and register at mlsys.org