PyTorch

We’ll be in San Jose Oct 20-21 for PyTorch Conference North America 2026. Find us at our booth to: ➡️ Take the Prompt and Collect challenge ➡️ Demo Crusoe Managed Inference and AI Cloud Platform with our team Plus, catch Crusoe speakers throughout the conference: 📅 Oct 20, 11:45 AM: Suman Debnath and Janaki Ram Goteti teach an introduction to GPU programming with Triton 📅 Oct 20, 12:45 PM: Suman Debnath and Jiale Huang lead “Fitting Large MoE Fine-Tuning onto Few Nodes: Expert & Context Parallelism in DeepSpeed” 📅 Oct 20, 6:30 PM: join us, dstack and SGLang (LMSYS Org) for AI Infra Night, an official Open Source week event. We’ll bring together AI experts, ML engineers, AI researchers, and AI infra enthusiasts for drinks, food, and plenty of time to talk shop 📅 Oct 21, 10:15 AM: Yiwei Song delivers a keynote, “AI Model Customization Platform” Register for AI Infra Night: 🔗 https://luma.com/6j69xyal

What You Cannot Profile, You Cannot Optimize: Learning to Read PyTorch Traces In his talk at PyTorch Conference North America 2026, Suvaditya Mukherjee from Hugging Face will share practical guidance on how to start using the PyTorch Profiler on your models to extract maximum performance efficiency. Whether you are aiming to identify performance bottlenecks or optimize model execution, this talk will help you get the most out of your hardware.  Join the open source AI community in San Jose, October 20-21: https://hubs.la/Q04v4SL60 #PyTorchCon

The faster the information can flow, the faster the progress can be made, and that’s exactly where open source really shines.” At PyTorch Conference China 2026, PyTorch Foundation Executive Director Mark Collier drove home the value of open source as AI hardware, model architectures, and inference engines evolve rapidly. In his keynote, “Building Frontier Intelligence in the Open,” Mark describes the challenge as one of coordination across hardware, models, and inference, with the flow of information as a potential bottleneck. As a concrete example, Mark discusses Shopify's use of agents in production, where failures can feed back into training with PyTorch and serving with vLLM as the model improves. Mark's full keynote from Shanghai: https://lnkd.in/gRhnYaMg Register for PyTorch Conference North America, October 20–21 in San Jose: https://hubs.la/Q04tBgv_0

Your event could help turn the Bay Area into open source AI central. 🌉🤖 #OpenSourceAIWeek, October 16-25, is building a virtual guide to help people discover open source AI conferences, hackathons, startup showcases, networking events, meetups, and community activities across the region. Participating organizers receive greater visibility and cross-promotional opportunities while helping attendees build one connected itinerary around the ideas, technologies, and communities moving open AI forward. The flagship events take place in San Jose: 🔥 #PyTorchCon North America, October 20-21 🤖 #AGNTCon + #MCPCon North America, October 22-23 Community events must be scheduled outside flagship programming hours so attendees can experience more of the week without needing to clone themselves. Submit your event by October 15 at 11:59 PM PDT: https://bit.ly/4ipYZ39 Learn more: https://bit.ly/3KjXQv2 #OpenSourceAIWeek #PyTorch #PyTorchFoundation #AAIF #FutureOfAI #AI #GenAI #MachineLearning #ML #DeepLearning #OpenSource #OpenSourceSoftware #OpenSourceDevelopment #OpenSourceCommunity #OSS #LinuxFoundation #events #linux

As more teams scale open source AI on secure, governed infrastructure, Ray has become critical across the full AI lifecycle, from data curation to production serving and reinforcement learning. Ahead of PyTorch Conference North America 2026 in San Jose, we put together a guide highlighting key Ray-focused sessions on the schedule. Featured speakers include: Anyscale / Databricks / University of California, Berkeley: Ion Stoica Anyscale: Eric Tang, Sumanth R Hegde, Joshua Lee, Mengjin Yan Google: Ankita Luthra, Kotturu Trinadh, Jago Macleod LinkedIn: Tao Huang, Tommy Li Pinterest: Gaurav Arora, Shunyao Li, Eric W. Uber: Ke Chen, Peng Zhang, Xandra Zhu University of Minnesota: Arun Sharma Explore engineering takeaways from these technical sessions where you will learn about unified AI orchestration with Kubernetes, elastic training stacks, and scalable RL. Read the full guide and map out your schedule: https://lnkd.in/e373G-Hu Register for PyTorch Conference North America: https://hubs.la/Q04tBgv_0 #PyTorchCon

Keeping out-of-tree accelerators aligned with a fast-moving ecosystem is no small task. In a new community blog, contributors from IBM and Red Hat share how they built Torch Spyre on top of PyTorch's Cross-Repository CI Relay (CRCR) to tackle compatibility testing at scale. In the blog they also share testing and workflow patterns that could benefit accelerator developers across the ecosystem. Read the full technical deep dive here: https://lnkd.in/eCH3C-Sx Mehant Kammakomati, Jewel Muraledharan, Anubhav Jana, Padmanabha Venkatagiri S

Open Source AI Week is fast approaching! From October 16–25, 2026 there will be a ton of events across the Bay area - from flagship conferences and startup showcases to hackathons and networking events (aka parties 🎉) Get your event added to the lineup and join the community for what will be an action-packed 10 days. Here are some highlights: 🔭 Project Jupyter Day (October 19) 🔥 PyTorchCon North America (October 20-21) 🤖 AGNTCon + MCPCon North America (October 22-23) 🕺 AI Community Bash featuring De La Soul (October 21) Join the fun and add your event. See you in October! https://lnkd.in/gjTvWN2Z

All PyTorch Conference China 2026 sessions are now available to watch on our YouTube channel. PyTorch Conference China 2026 brought the PyTorch community together in Shanghai on September 8–9 alongside KubeCon + CloudNativeCon and OpenInfra Summit, following sponsor-hosted co-located events on September 7. Technical discussions spanned models, frameworks, distributed training, inference, hardware, cloud native infrastructure, and agents. “Open Source for the AI Era” framed work across those layers. Across co-located sessions, keynotes, technical demonstrations, a PyTorch Foundation press conference, community meetings, and conversations at the PyTorch booth, the program covered hardware adaptation, training and serving, open infrastructure, accelerator integration, and collaboration across open source communities. Watch the full PyTorch Conference China 2026 session playlist: https://lnkd.in/eCi5xhfK Next up, #PyTorchCon North America comes to San Jose October 20–21. Register today: https://hubs.la/Q04tBgv_0

We're excited to have a strong vLLM presence at PyTorch Conference North America this year. 🔷 Simon Mo, vLLM core maintainer and Co-founder / CEO of Inferact, will give the keynote on scaling open frontier inference infrastructure 🔷 vLLM core maintainer Nick Hill and George Novack will be at the "Meet the Developers of vLLM" 🔷 vLLM maintainers Tyler Michael Smith, Lucas Wilkinson, and Joseph Groenenboom from Red Hat will be giving talks on Agentic Inference and Attention in vLLM. Thank you to PyTorch for highlighting the community's work!

How does the PyTorch Ambassador Program work, and how can you position yourself to become a PyTorch Ambassador? At #PyTorchCon North America 2026, Sahdev Zala (IBM) will present “Inside the PyTorch Ambassador Model: How Ambassadors Grow PyTorch Adoption & How You Can Become One.” Sahdev will cover what ambassadors have built, the challenges they have encountered, the results they have produced, and ways to engage more deeply with the PyTorch community through advocacy, education, and contribution. Register for PyTorch Conference North America 2026: https://hubs.la/Q04v4SL60