Co-Located Events

Looking for fun for the whole week? Open Source AI Week is the premier event that brings together the best AI and ML conferences, hackathons, startup showcases, and networking opportunities exploring the intersection of artificial intelligence, machine learning, and open source technology. Taking place between October 16-25, 2026 in the Bay Area. This week-long celebration is dedicated to fostering innovation, collaboration, and community-driven solutions in the rapidly evolving AI landscape. Check out the events happening and submit yours now!

Whether you are developing a library, research framework, benchmark, infrastructure tool, educational resource, or domain-specific application, this event is an opportunity to connect with the PyTorch community and learn what it takes to grow technical work into lasting open source impact.

How to Register: Pre-registration is required, click the button below! Don’t forget to also register separately for PyTorch Conference North America 2026 using the Academic rate.

Call for Proposals: There is extraordinary open source AI work being created inside universities and research institutions.

Important Note: As space is limited, attendees will be approved. You will receive a confirmation email if your registration is approved.

Join the LF AI & Data community at PyTorch Conference North America for a focused Mini Summit exploring how open source collaboration is shaping the next generation of AI.

The event will bring together developers, maintainers, researchers, practitioners, and technology leaders to share practical experience and explore the open technologies powering AI across the full lifecycle—from data and models to deployment, orchestration, observability, governance, and agentic systems.

Sessions will highlight technical innovation and real-world lessons across topics including agentic and multi-agent AI, MLOps and AI infrastructure, data and document intelligence, model inference and optimization, responsible AI, interoperability, and production deployments.

As AI systems become more complex, open source communities play a critical role in reducing fragmentation, improving interoperability, and giving developers greater choice and flexibility. The Summit will showcase projects and approaches helping organizations build scalable, trustworthy AI systems through open collaboration.

Whether you contribute to an open source project, build with PyTorch, operate AI infrastructure, or are moving AI applications into production, join us to learn from peers, discover technologies across the LF AI & Data ecosystem, and help shape a more open and interoperable future for AI.

How to Register: Pre-registration is required. Register for LF AI and Data by adding it to your PyTorch Conference North America registration.

While serving AI models for research and pilot projects is a well-solved challenge, transitioning to 24/7, enterprise-ready systems is the next critical phase of AI maturity. The requirements for reliability, observability, scaling, and concurrency at this level are non-trivial. In response, PyTorch—along with its sister foundation projects and the ecosystem—has begun delivering essential enterprise-level features and enhancements.

Along with these technical advancements, there is a growing understanding of the business use cases, constraints, and growth areas for enterprise AI. Here too, moving AI beyond simple chatbots and images in slide decks requires exploration and hard work—from both the tech industry and the companies striving to deliver real value to their business processes.

Red Hat, NVIDIA, and IBM are hosting a day focused on the evolution of the PyTorch Foundation and its ecosystem, specifically tailored to enterprise use cases. The morning session will feature discussions on business applications and real-world examples of integrating PyTorch into enterprise environments. The afternoon hands-on workshop offers a guided experience, taking participants from business problems and data to a fine-tuned model, served at scale and exposed to users via an agentic application. Come join us for an exciting day of enlightening discussion and real world applications.

How to Register: Pre-registration is required. Register here!

Build. Optimize. Deploy. Create on Arm.

Kick off PyTorch week with hands-on experiences, live demos, Arm experts, and an after-hours event. Plus, receive an exclusive, Arm-powered digital badge that’s yours to personalize, play with at the event, and keep exploring at home. Learn more and register now for Arm Create with Google, Google DeepMind, Nota, and Renesas!

Jupyter Day, co-located with PyTorch Conference North America, brings together the people shaping the future of interactive computing from data scientists and developers to researchers, educators, open source contributors, and tool builders. As AI transforms how we write code, explore data, conduct research, and build applications, Jupyter is becoming an increasingly important environment for bringing these workflows together.  This year’s event will explore how Jupyter is enabling new workflows across data science, scientific computing, visualization, education, AI, and beyond while continuing to advance open, reproducible, and accessible computing.

Through technical talks, hands-on sessions, community discussions, and real-world use cases, Jupyter Day will showcase both what’s possible today and what’s emerging next. From evolving notebook and developer experiences to reproducible research, interactive visualization, open standards, AI-assisted workflows, and new tools across the ecosystem ( or this: and new ways of interacting with data and models). Attendees will hear from Project Jupyter contributors and the broader community while exchanging ideas about the future of interactive computing.

How to Register: Pre-registration is required. Register for Jupyter Day as a stand alone event or add it to your PyTorch Conference North America registration.

Add AGNTCon + MCPCon to your PyTorch Conference registration to receive a special 35% discount (automatically reflected in purchase price).

Where the agentic stack is being built.

The event brings together the developers, researchers, platform builders, and enterprises advancing the next generation of AI agents—from core agent architectures and infrastructure to the protocols and tools that make agent systems interoperable. Spanning the Model Context Protocol (MCP) and the broader agent landscape, AGNTCon + MCPCon explores how teams are building reliable, scalable, and secure agent systems in production. Through deep technical sessions, real-world case studies, and ecosystem collaboration, the conference provides a forum for sharing learnings, surfacing common challenges, and advancing open approaches to agentic AI. To learn more, visit the event website.

How to Register: Pre-registration is required. To register for AGNTCon + MCPCon, add it to your PyTorch Conference registration.