🎤 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:

At PyTorch Conference North America 2026, hear directly from and connect with the people working on PyTorch, @vllm_project, @DeepSpeedAI, @raydistributed, 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: #PyTorchCon#

At PyTorch Conference North America 2026, hear directly from and connect with the people working on PyTorch, @vllm_project, @DeepSpeedAI, @raydistributed, Helion, and Safetensors, alongside experts working across the AI stack. Keynote speaker @simon_mo_ (@vllm_project, @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:

At PyTorch Conference North America 2026, hear directly from and connect with those working on PyTorch, @vllm_project, @DeepSpeedAI, @raydistributed, Helion, and Safetensors, alongside experts working on GPUs, NPUs, model architectures, inference engines, and architectures spanning the data center and edge. PyTorch Foundation Executive Director @sparkycollier points to why bringing communities together matters: new model architectures, hardware architectures, and inference engines need coordination across software and hardware experts, alongside the open source software being built to support them. Meet the people behind the work October 20–21 in San Jose. Register by September 4 to save on your conference pass: View the schedule: #PyTorchCon#

That’s a wrap on Day 2 keynotes! Visit the team at the PyTorch Foundation booth (G2) in the Solutions Showcase to talk about the work happening across the open source AI stack, from frameworks, compilers, and inference to hardware, infrastructure, and agents. Walk through the Project Pavilion while you’re here. Stop by the @DeepSpeedAI table now until 12:45 pm, then find Safetensors from 1:15 to 3:30 p.m. 🔗 #PyTorchCon# #KubeCon# #CloudNativeCon# #OpenInfraSummit#

We’re proud to announce the inaugural #PyTorchDayJapan#, hosted by PyTorch Foundation, @huggingface, @IBM, and Mitsubishi Electric (@ME_JP_official), on December 10 in Tokyo. #PyTorchDayJapan# will bring together PyTorch enthusiasts, machine learning engineers, AI researchers, and industry professionals for technical talks and discussions spanning training, inference, responsible AI, and more. PyTorch Day Japan is dedicated to open source AI and the impact of PyTorch Foundation projects including PyTorch, @vllm_project, @DeepSpeedAI, Ray, Helion, and Safetensors. 🔗 Learn more:

As Europe’s AI sovereignty debate draws more attention to models, @tech_eu examines PyTorch’s role in the open source infrastructure that supports them. Cate Lawrence (@tech_eu) spoke with Mark Collier, Executive Director, PyTorch Foundation, about PyTorch as a common software layer for open-weight AI, neutral governance for critical AI infrastructure, and PyTorch Foundation’s expanding role as a home for projects including @vllm_project, @DeepSpeedAI, @raydistributed, and Helion. The article also covers SafeTensors moving toward community stewardship under PyTorch Foundation. As Lawrence writes, “For Collier, Europe's competitive advantage isn't simply producing more AI models — it's helping build the open infrastructure that allows an entire ecosystem of companies to innovate.” 🔗 Read it here:

KubeCon + CloudNativeCon + OpenInfra Summit + PyTorch Conference China 2026 brought the people working across the open source AI stack together in Shanghai. @sparkycollier No single project, company, or community builds the AI stack alone. Behind the models, frameworks, cloud native technologies, and infrastructure powering AI is a global open source community working across every layer. PyTorch Foundation welcomed @alibaba_cloud and Cambricon (寒武纪) as Platinum Members and @AntGroup as a Gold Member, joining @Huawei and other existing Foundation members. Across the program, maintainers, researchers, developers, hardware vendors, and technical leaders discussed PyTorch, distributed training, inference and serving, heterogeneous hardware, cloud native infrastructure, accelerator integration, and agents, with participation from the @CloudNativeFdn and @openinfradev communities. Our recap covers keynotes from across the open source AI stack, China-based PyTorch contributors and organizations, the PyTorch TAC Accelerator Integration Working Group, the Foundation press conference, and community conversations in Shanghai. PyTorch conferences are the open source AI community’s town square, where what’s next gets decided. If you couldn’t join us in Shanghai, PyTorch Conference North America 2026 is the next chance to hear directly from maintainers, researchers, developers, and AI engineers working across the open source AI stack. PyTorch Conference North America comes to San Jose October 20–21, with maintainers from PyTorch, @vllm_project, @DeepSpeedAI, and @raydistributed among the speakers. 🔗 Read the Shanghai recap and register for PyTorch Conference North America 2026: #PyTorchCon# #KubeCon# #CloudNativeCon# #OpenInfraSummit#