Day 2 is done, and that’s a wrap on #PyTorchConferenceEU# 🇫🇷🔥 A great close to two excellent days at Station F: deep technical content, practical engineering, open collaboration, and an ecosystem with real momentum. This morning I had the chance to deliver the @PyTorch Foundation CTO keynote, focused on ecosystem growth, new working groups, certification, and what it takes to make open source AI easier to build, govern, and scale (OpenMVG). Big Day 2 announcement 🚨 @HuggingFace Safetensors is joining the PyTorch Foundation as a hosted project. That is a meaningful step forward for secure model distribution and trusted AI deployment. (PyTorch) Also great to see keynotes and sessions featuring: • Léonard Hussenot from @GoogleDeepMind's compelling talk on Gemma 4 Edward Yang (@Meta) on PyTorch updates • @LysandreJik (@huggingface) on the Hub as infrastructure and safe, performant model distribution • an outstanding mix of speakers and contributors from @AMD, @RedHat, @NVIDIA, @Google, @IBM, and @LightningAI (PyTorch Conference 2026) Thank you to everyone who made the first PyTorch Conference Europe such a strong debut. The ecosystem is growing. The Foundation is growing. And the community is building what’s next. 🚀 #PyTorch# #OpenSourceAI# #Safetensors# #huggingface#

vLLM @vllm_project sessions at #PyTorchCon# NA 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: @RedHat: Lucas Wilkinson, Matthew Bonanni, Zhanqiu Hu, @rickynds, and Alex Brooks @amazon: Sunita Nadampalli @IBM: Or Ozeri, Thomas Parnell, and Dave Grove @Huawei: Mengqing Cao @nvidia: Itay Alroy @Google: @Rob_Mulla and Qi Zhou @awscloud: Maen Suleiman @Meta: Richard Zou, Colin Taylor, and Angela Yi @BAAIBeijing: Yonghua Lin @fujitsulabs: Abhishek Jain and N Maajid Khan @IBMResearch: Antoni Viros i Martin and Avery Blanchard @MistralAI: Nicolò Lucchesi @tensormesh: @this_will_echo @googlecloud: Bill Jia Register by September 4 to save: Read the vLLM session guide:

A conference for people doing the work. 💪 #PyTorchCon# North America, Oct 20-21 in San Jose, brings together a hands-on community of developers, researchers, engineers, maintainers, and practitioners building with #AI# and ML. Come meet the people building what’s next.

Attendees of PyTorch Conference Europe earlier this year share what it's like to attend #PyTorchCon#. PyTorch Conference North America will be here before you know it. Don't miss out:

🚀 Your next big #OpenSource# conversation starts in Shanghai. Join #KubeCon# + #CloudNativeCon# + #OpenInfraSummit# + #PyTorchCon# China, September 7-9, for three days of technical sessions, community collaboration, & the ideas shaping the #AI# era. ⏰ Register by July 28 to save ¥710 RMB:

🏋️ Train smarter. From distributed training to optimization techniques and foundation models, the Training Track at #PyTorchCon# North America, Oct 20-21 in San Jose, is packed with practical sessions to help you build faster, more efficient AI systems. Learn more: 📅 Schedule: 🎟️ Register:

🎤 Meet keynote speaker Jana van Greunen, Director of PyTorch Engineering at @Meta. At #PyTorchCon# North America, Jana will share how Meta’s AI workloads are advancing #PyTorch# across hardware, research, and production. 📅 October 20-21 | San Jose Register:

🎤 Meet keynote speaker Zhipeng Wang (@PKUWZP), Senior Staff Software Engineer at @Google and DeepSpeed maintainer. At #PyTorchCon# North America, he’ll share advances helping DeepSpeed train large models efficiently across diverse hardware. October 20-21 | San Jose Register:

AI pioneers, researchers, and developers: your smartest model this week is registering early. 🧠 Ticket prices for #PyTorchCon# North America go ⬆️ in 1 week. Register by September 4 to save $200. Join us October 20-21 in San Jose, CA!

PyTorch conferences are the open source AI community’s town square, where what’s next gets decided. At #PyTorchCon# NA 2026, Core PyTorch sessions focus on the framework itself and the engineering work shaping how it is built and extended. The program spans torch.compile and dynamic shapes, distributed communication, out-of-tree backends, the release process and CI, profiling and observability, tensor layouts, stable ABI, and accelerator backends. Featured speakers include: @AMD: Prachi Gupta @awscloud Annapurna Labs: Esha Lakhotia @Google: Claudio Basile @Huawei: Jiahao Chen and Jiahao Tan @IBM: Olivier Tardieu and Dave Grove @IBMResearch: Matthew Arnold, Antoni Viros i Martin, and Avery Blanchard @intel: Yu Guangye, Eikan Wang, Panos Kourdis, and Tanima Dey @Meta: Andrey Talman, @drisspg, @rice_fry, Kapil Sharma, Natalia Gimelshein, William Wen, Steven Troxler, @__avik, @sanketpurandare, @aditvenk, Elias Ellison, @janeyx99, Simon Layton, Laith Sakka, Angel Li, Richard Zou, and Yidi Wu @nvidia: @memorypaladin, Sreeram Potluri, and Artem Polyakov @RedHat: Subin George Malana, Jewel K M, Sean McGovern, and Christopher Leonard @amazon: Pinak Panigrahi Register by September 4 to save: Read the Core PyTorch session guide: