Sponsor news from @CrusoeAI: We’ll be in San Jose for #PyTorchCon# North America Oct 20-21. 🎤 Talks on Triton, MoE fine-tuning + model customization 🤖 Booth demos + challenges 🍻 AI Infra Night with @dstackai, @sgl_project (@lmsysorg) Learn more: Register for AI Infra Night: 🔗 #PyTorchFoundation#

PyTorch Foundation supported the ExecuTorch Hackathon in San Francisco, where more than 100 participants across 20+ teams built real-time AI applications using PyTorch and ExecuTorch. Teams built on Snapdragon-powered Samsung Electronics Galaxy S25 Ultra devices, focusing on latency, offline capability, privacy-sensitive processing, energy efficiency, and real-time user experience. Congratulations to the winning teams: 1st Place: SafeScreen AI, an on-device visual safety layer 2nd Place: SixthSense, an assistive wearable that converts visual information into directional haptic signals 3rd Place: Toddle AI, a privacy-first prototype for analyzing toddler walking patterns locally The winning projects showed how local execution can support applications that require immediate feedback, limited connectivity, or sensitive data processing. Read the full recap from @matthew_d_white (PyTorch Foundation), Andrew Caples (@Meta), and Lauren Lunde (@Qualcomm):

PyTorch Foundation is a Gold Sponsor of Agentic AI Summit 2026. Matt White, CTO of PyTorch Foundation, will lead “The Open Agentic Stack,” on building AI systems with open source, open standards, and composability. 🔗

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#

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#

New on the PyTorch Foundation blog: @AMD and @Meta contributors share how PyTorch Monarch was brought to AMD Instinct GPUs with ROCm to support fault tolerant distributed training at scale. The post walks through the ROCm port of Monarch’s GPU runtime and distributed communication stack, then shows how Monarch, TorchFT, and TorchTitan enable healthy replicas to continue training while failed nodes recover and rejoin without a full checkpoint restart. Validation includes Llama 3 8B training on a 128 GPU AMD Instinct MI300 SLURM cluster and a 256 GPU AMD Instinct MI355 Kubernetes cluster. Read the full technical deep dive:

🌏 From Learners to Contributors: Growing the PyTorch Ecosystem through PyTorchKR Join Junghwan Park from PyTorchKR & Jiho Kim, PyTorch Foundation Ambassador, during PyTorch Day Japan 2026 to discover how eight years of community building have helped developers, researchers, and students become open source contributors. Register by November 11 and save ¥3,000.

Today, PyTorch Foundation project, Ray is announcing the Special Interest Group (SIG) for Ray on Accelerators. Ray already supports more than a dozen accelerator types, from NVIDIA and AMD GPUs to TPUs and Trainium. The SIG brings hardware vendors, cloud providers, and the Ray community together around a vendor-neutral roadmap focused on: · Development and testing infrastructure on real hardware · Hardware-aware scheduling that understands topology · Direct device-to-device transport with Ray Direct Transport Join us on the Ray Slack channel, at community meetings, or on GitHub. Learn more here: @raydistributed

ERRC: Entropy-Reinvested Residual Correction for Tensor-Parallel LLM Communication PyTorch Foundation Ambassador Abdulsalam Bande will present a poster on ERRC (Entropy-Reinvested Residual Correction for Tensor-Parallel LLM Communication) at PyTorch Conference North America 2026. ERRC focuses on optimizing GPU data exchange during LLM inference. By compressing inter-GPU communication and using the saved bandwidth to mitigate quantization errors, ERRC makes multi-GPU inference significantly more efficient. Register and join us to San Jose, October 20-21: #PyTorchCon# @abdulsalambande

Joseph Gabriel Lagonsin (ITBrief) reports on Shopify’s Platinum membership in PyTorch Foundation, including Shopify’s plans to contribute upstream engineering expertise and share experience from running machine learning systems in retail and commerce settings. "AI is becoming the operating layer for commerce, and we're convinced that layer needs to be open to reach global scale," said Mikhail Parakhin, Chief Technical Officer, Shopify. "PyTorch is central to how Shopify builds AI today. Joining the Foundation lets us invest in that base directly and help shape it for the agentic era, rather than just building on top of it." The coverage also details Shopify’s use of PyTorch across Sidekick, search and recommendation tools, fraud protection, and foundation model work tied to merchant tools. "We are excited to welcome Shopify to the PyTorch Foundation as our newest Platinum Member," said Mark Collier, Executive Director, PyTorch Foundation. "Shopify operates where AI meets real buyers and sellers every day, and that vantage point is exactly what the Foundation needs as agents become a front door to commerce. Read more: