Curious about how to make enterprise agentic inference production-ready with @PyTorch and @vllm_project & to learn more about the PyTorch Landscape? Join Joseph Groenenboom of @RedHat at PyTorch Conference North America. While serving AI models for research and pilot use cases is a well solved problem, moving it to 24/7 Enterprise ready systems is the next important phase in AI maturity. The reliability, observability, KV cache management, and concurrency requirements for Enterprise readiness are non-trivial problems. Rising to this challenge, PyTorch, vLLM, and the other foundation projects and broader ecosystem have begun adding Enterprise level features and enhancements. This talk will cover a sampling of some of the project work; from core PyTorch project build infrastructure up to model serving improvements to account for tool calling support and long context multi-turn chat. Led by the PyTorch Foundation Ecosystem Working Group, you will learn what the Ecosystem Landscape is and why it matters: how membership drives visibility and community engagement for independent projects; how to apply: a lightweight, GitHub-based process that makes it straightforward for projects to apply for ecosystem status; and how lifecycle management works: what ongoing membership looks like and how the Working Group supports active projects. See you at #PyTorchCon NA in San Jose, October 20-21! Register at: hubs.la/Q04v4SL60

We’ve taught a generation of students how to use AI. Now we need to teach the next generation how to engineer it. That means understanding what’s underneath the abstractions, not just calling the APIs. That’s why we built Tiny🔥Torch. Don’t just import PyTorch. Build it. 🔥 We’re excited to be working toward bringing TinyTorch into the PyTorch ecosystem. More to come! 🚀

Elastic Expert Parallelism in @vllm_project lets you add or remove GPUs from an active Mixture-of-Experts deployment during traffic with minimal interruption to serving and minimal downtime. At #PyTorchCon North America 2026, Itay Alroy (@nvidia) will present “Elastic Expert Parallelism in vLLM,” covering the architecture, key implementation details, open challenges, and future roadmap for Elastic EP. Alroy will also examine what happens when EP size changes and how NIXL EP enables grow/shrink under live traffic. Register for PyTorch Conference North America 2026: hubs.la/Q04v4SL60

Debugging LLM training in production is notoriously challenging because subtle bitwise errors can surface long before they ever trigger a spike in the loss curve. Ziming, a PhD student at the University of Michigan and student researcher at @ByteDanceSeed_ , will speak at PyTorch Conference North America on how to solve this issue using OpGuard. OpGuard compares separate training runs bit by bit to pinpoint the exact initial operation where executions diverge. Join us in San Jose, October 20 to 21, to learn how bitwise alignment delivers faster, more precise LLM training debugging: hubs.la/Q04v4SL60 #PyTorchCon @UMich

Going to @PyTorch Conference in San Jose next month? @CrusoeAI and we are hosting an evening on day one, October 20, 6:30 PM, right after the sessions. We're gathering GPU experts, AI researchers, AI infra engineers, and anyone into AI infra and heterogeneous AI compute. Space is limited: luma.com/6j69xyal

Interested in optimizing Mixture of Experts LLM inference on ARM CPUs? In his talk at PyTorch Conference North America, Maajid Khan from Fujitsu Research India will explore efficient MoE LLM inference using vLLM and OpenVINO, sharing practical strategies for running these models effectively on ARM architectures. Register and join us in San Jose, October 20-21: hubs.la/Q04v4SL60 #PyTorchCon

To support developers, researchers, and engineers in deepening their technical skills, the PyTorch Foundation is running a dedicated Introduction Track at PyTorch Conference North America in San Jose, California, featuring the following speakers: @NVIDIA - Aastha Jhunjhunwala, Mark Moyou @RedHat- Lucas Wilkinson, Matthew Bonanni @HuggingFace - Aritra Roy Gosthipaty, Suvaditya Mukherjee @CrusoeAI - JanakiRam Goteti, Suman Debnath ETH Zurich - Andrea Mattia Garavagno @Harvard University - Vijay Janapa Reddi @CloudNativeFdn - Yashasvi Misra Additionally, an official, full-day PyTorch Associate Training session led by instructor Faradawn Yang will take place on Monday, October 19, 2026, offering hands-on labs, real-world projects, and a voucher for the PyTorch Certified Associate exam. Seats are limited, so register by Tuesday, October 13th to secure a spot and elevate your AI development skills. Read our latest blog to learn which sessions will feature at the Introduction track and how to sign up to the PyTorch Associate Training session: bit.ly/4dE9899

Join us October 17-18 in San Francisco for the ExecuTorch Hackathon. Developers will build and deploy PyTorch models with ExecuTorch across Compute, Mobile + XR, and IoT tracks. Teams will get hands-on with Snapdragon-powered PCs, Samsung Galaxy devices, and Arduino hardware while exploring what's possible with open-source, on-device AI. Form a team, submit a proposal, and help shape the future of AI at the edge. Submit your proposal here: luma.com/executorch-hackatho…

At #PyTorchCon North America 2026, @lizli202503 and @indianspeedster of @AMD will discuss their work enabling scalable MXFP8 pretraining on MI355X GPUs. Liz and Shekhar will cover optimization of key MXFP8 operators in TorchAO and how those kernels were integrated with TorchTitan to build an end-to-end upstream PyTorch training stack for large language models. Their session, “Scaling MXFP8 Pretraining on 1K+ AMD Instinct MI355X: TorchAO Kernels and TorchTitan Training,” will also cover Triton and FlyDSL implementations and lessons from numerical validation, convergence, and performance tuning. Join us in San Jose on October 20-21. Register today: hubs.la/Q04v4SL60

🤲 Open source moves forward when people build together. #PyTorchCon North America brings together the researchers, engineers, maintainers, and contributors doing exactly that - sharing what they've learned, working through challenges, and building on each other's work. Join the open source AI community in San Jose from Oct 20-21: bit.ly/4sh3DSw

🚨 Last Chance To Take The Stage At PyTorch Day Japan! The Call for Proposals closes this Sunday, September 27 at 11:59 PM JST. Bring your ideas and experiences to a community of PyTorch developers, machine learning engineers, AI researchers, and open source AI leaders from across Japan and beyond. ⏰ Submit Your Proposal >> bit.ly/4yuIMyz

At #PyTorchCon North America 2026, Alessandro Sangiorgi, Senior Software Engineer (@RedHat), will show how warm starts let Helion autotuning reuse cached configurations so developers can iterate faster instead of repeating cold searches. Sangiorgi will present “Accelerating Helion Autotuning with Warm-Start and Shared Caches,” a poster on Helion, a PyTorch DSL for GPU kernels. Join us in San Jose on October 20-21: events.linuxfoundation.org/p…

The PyTorch Foundation OSPO & Academic Outreach Working Group is inviting academic open source projects to submit for a Day 0 workshop at #PyTorchCon North America 2026. Projects using PyTorch, @DeepSpeedAI, Helion, @raydistributed, Safetensors, or @vllm_project can submit for consideration. Eight selected projects will present five-minute lightning talks, followed by a hands-on workshop and mentor office hours. Depending on the project, workshop conversations may cover open source readiness, governance, reproducibility, community, security and maintenance, and ecosystem positioning. The call is open to students, researchers, faculty, research engineers, university labs, academic OSPOs, research institutions, and maintainers of research-originated open source projects. The submission deadline is September 30, 2026, at midnight PT. Register for PyTorch Conference North America: hubs.la/Q04tBgv_0 🔗 Read more and submit: pytorch.org/blog/from-resear…