PyTorch

Turn your trip to Shanghai into an even bigger open source experience. ✨ In addition to KubeCon + CloudNativeCon + OpenInfra Summit + PyTorch Conference China, September 7-9, two co-located events offer more opportunities to learn, connect, and exchange ideas across growing technology communities. 🤖 AGNTCon + MCPCon China, September 6-7, brings together developers and leaders working on agentic AI, Model Context Protocol, and open technologies for intelligent systems. Separate registration is required: https://bit.ly/4x3nPdq 🌐 OSPOlogy + OSPO Summit China connects open source program office professionals, community leaders, and organizations to share strategies for governance, collaboration, and sustainable open source participation. Add it to your main event registration: https://bit.ly/4uPnslb More communities. More connections. One open source-packed week in Shanghai. Join us! https://bit.ly/3NG8hv1

Go beyond the model. The Kernel Engineering Track at PyTorch Conference North America (October 20-21 in San Jose) is built for developers focused on performance. Explore compilers, optimization, custom kernels, domain-specific languages, and techniques that maximize hardware efficiency. Learn more: https://bit.ly/4ybNelt 📅 Explore the Full Schedule: https://bit.ly/3Ra1oUx 🎟️ Join us! https://bit.ly/4sh3DSw #PyTorchCon #PyTorch #PyTorchFoundation #FutureOfAI #AI #GenAI #MachineLearning #ML #DeepLearning #OpenSource #OpenSourceSoftware #OpenSourceDevelopment #OpenSourceCommunity #OSS #LinuxFoundation #events #linux

NVIDIA's Anjulie Agrusa, Ryan Spring, and Bruce Zitell will show how the latest NVFP4 pretraining recipes can accelerate large-scale LLM training while closing the quality gap to BF16 at PyTorch Conference North America 2026. Their October 21 session, “Efficient Pretraining of LLMs in NVFP4,” will cover the recipe and PyTorch tooling that make this possible, including recipe design, kernel choices, and the API surface needed to bring NVFP4 training into native PyTorch workflows. The recipes are being upstreamed into the PyTorch ecosystem through TorchAO and TorchTitan, with dense linear NVFP4 training available in TorchAO today. Register by September 4 to save on your conference pass: https://hubs.la/Q04tBgv_0 #PyTorchCon

vLLM sessions at PyTorch Conference North America 2026 show how teams are optimizing inference, working on PyTorch release validation and compatibility, and using vLLM in broader serving and application workflows. Speakers will cover CUTLASS, Triton, and Helion; faster model loading with fastsafetensors; quantization and HiFloat; autonomous kernel bring-up and Intel GPU optimization; PyTorch release validation, enterprise agentic inference, stable ABI, and dynamic shapes; vision-language serving; cloud-to-edge workflows; high-speed storage; a serving stack for a physics-constrained generative model; and contributor onboarding and first-PR workflows. Featured speakers include: NVIDIA: Michael G., Güray ÖZEN, Aastha Jhunjhunwala, and Mark Moyou, PhD Meta: Andrey Talman, Jane Xu, and Laith Sakka Arm: Kavya Sri Chennoju IBM: Takeshi Yoshimura and Nili Guy (Ifergan) Red Hat: Markell Rawls, Joseph Groenenboom, Tyler Michael Smith, Sean McGovern, Christopher Leonard, and Maroon Ayoub Google: Ankita Luthra and Kotturu Trinadh Intel: Alex Gu, Qun Yang, Wai Hung (Whitney) Tsang, and Artur Fierka Huawei: Jun Zhao and Haonan Zhang IBM Research: Burkhard Ringlein University of Minnesota: Arun Sharma Register for PyTorch Conference North America 2026: https://hubs.la/Q04tBgv_0 Read the vLLM session guide: https://lnkd.in/gAzvw6KQ

Innovation in AI starts with great software. Hear Chris Lattner, Executive Vice President of Advanced AI Software and Platforms at Qualcomm, during the keynote program at PyTorch Conference North America. 📅 October 20-21 📍 San Jose, CA Schedule: https://lnkd.in/gDkRGz78 Register by September 4 to save $200: https://lnkd.in/gKzzmr_7 #PyTorchCon #PyTorch #PyTorchFoundation #FutureOfAI #AI #GenAI #MachineLearning #ML #DeepLearning #OpenSource #OpenSourceSoftware #OpenSourceDevelopment #OpenSourceCommunity #OSS #LinuxFoundation #events #linux

Ready to tackle the systems challenges of Agentic Reinforcement Learning? Yichuan Wang and Shuhua Yu will share how to train agents that can runs hundreds of turns along with the infrastructure and training recipe to make it scalable and reproducible at PyTorch Conference North America. Join us for this deep dive into building an end-to-end agentic RL training loop. Register now: https://hubs.la/Q04v4SL60

vLLM sessions at PyTorch Conference North America 2026 span the serving stack, from attention and KV cache management to disaggregated serving and hardware portability across accelerators. Speakers will cover attention and KV cache systems, disaggregated serving, expert parallelism, and vLLM across TPU, Trainium, Arm, and IBM Spyre. Featured speakers include: Red Hat: Lucas Wilkinson, Matthew Bonanni, Zhanqiu Hu, Ricardo Noriega de Soto, and Alexander Brooks Amazon: Sunita Nadampalli IBM: Or Ozeri, Thomas Parnell, and Dave Grove Huawei: Mengqing Cao NVIDIA: Itay Alroy Google: Rob Mulla and Qi Zhou Amazon Web Services (AWS): Maen S. Meta: Richard Zou, Colin Taylor, and Angela Y. Beijing Academy of Artificial Intelligence(BAAI): Yonghua Lin Fujitsu Research of India: Abhishek Jain and N MAAJID K. IBM Research: Antoni Viros Martin and Avery Blanchard Mistral: Nicolò Lucchesi Tensormesh: Kuntai Du Google Cloud: Bill Jia Register by September 4 to save: https://hubs.la/Q04tBgv_0 Read the vLLM session guide: https://lnkd.in/gAzvw6KQ

At PyTorch Conference North America 2026, hear directly from and connect with the people working on PyTorch, vLLM, DeepSpeed.ai, Ray, Helion, and Safetensors, alongside experts working across the AI stack. At #PyTorchCon NA 2025, Christian Jacobi (IBM) spoke about clients thinking about deploying AI across core IT and business processes and what comes next: “There’s a lot of innovation ahead of us to do that at scale with the qualities of service that they are used to from classical enterprise computing.” PyTorch conferences are the open source AI community’s town square — where what’s next gets decided. Register by September 4 to save on your conference pass: https://hubs.la/Q04tBgv_0 #PyTorchCon

At PyTorch Conference North America 2026, hear directly from and connect with the people working on PyTorch, vLLM, DeepSpeed.ai, Ray, Helion, and Safetensors, alongside experts working across the AI stack. Keynote speaker Simon Mo (vLLM, Inferact) says vLLM’s goal is to become “the easiest to use and most efficient inference engine.” At #PyTorchCon NA 2025, he spoke about the difficulty and cost of using large language models and continuing to push inference efficiency forward. PyTorch conferences are the open source AI community’s town square, where what’s next gets decided. Register by September 4 to save on your conference pass: https://hubs.la/Q04tBgv_0 #PyTorchCon

AI moves quickly. So does this registration deadline. ⏱️ In one week, ticket prices go up for PyTorch Conference North America, where AI pioneers, researchers, developers, and open source leaders will gather to exchange ideas, share breakthroughs, and accelerate open intelligence. Join the community October 20-21 in San Jose, CA. Register by September 4 to save $200: https://bit.ly/4sh3DSw #PyTorchCon #PyTorch #PyTorchFoundation #FutureOfAI #AI #GenAI #MachineLearning #ML #DeepLearning #OpenSource #OpenSourceSoftware #OpenSourceDevelopment #OpenSourceCommunity #OSS #LinuxFoundation #events #linux