PyTorch Skip to main content Join us at PyTorch Conference North America · Oct 20-21 · San Jose, CA Search Close Search search Menu Learn Get Started Tutorials Learn the Basics PyTorch Recipes Intro to PyTorch YouTube Series Videos PyTorch Certification Community Landscape Join the Ecosystem Community Hub Forums Developer Resources Events Working Groups Meeting Calendar Contributor Awards Ambassadors Projects PyTorch Executorch vLLM DeepSpeed Ray Helion Safetensors Host Your Project Docs PyTorch Domains Blog & News Blog Announcements Case Studies Newsletter About PyTorch Foundation Members Governing Board Technical Advisory Council Cloud Credit Program Staff Contact Brand Guidelines JOIN search JOIN US PyTorch Conference North America October 20-21, 2026 San Jose, CA #PyTorchCon REGISTER NOWSPONSOR Get Started:  Install PyTorch Locally or Launch Instantly on Supported Cloud Platforms Get started August 13, 2026 in Blog FP8 Training on AMD GPUs with TorchTitan and TorchAO: Upstreaming Performance Improvements At the PyTorch Conference 2025, we demonstrated linear scaling beyond 1,000 GPUs on AMD Instinct clusters using Primus-Turbo, an AMD optimization library for training frameworks such as TorchTitan. We have… Read More August 10, 2026 in Blog Fast, On Device Agentic AI with Muse Glimmer on ExecuTorch Today, Meta introduced Muse Glimmer, an open-weight, 30-billion-parameter model distilled from Meta’s Muse Spark for on-device agentic workflows. Alongside, ExecuTorch is adding end-to-end support for running Muse Glimmer on NVIDIA… Read More August 6, 2026 in Announcements, Blog PyTorch Conference North America Announces 2026 Keynotes PyTorch Conference North America will be held in San Jose, California, on October 20–21, 2026. Featured PyTorchCon NA 2026 keynote speakers include: Mark Collier, Executive Director, PyTorch Foundation Mazin Gilbert,… Read More Join PyTorch Foundation As a member of the PyTorch Foundation, youll have access to resources that allow you to be stewards of stable, secure, and long-lasting codebases. You can collaborate on training, local and regional events, open-source developer tooling, academic research, and guides to help new users and contributors have a productive experience. EXPLORE BENEFITS Key Features & Capabilities Production Ready Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Distributed Training Scalable distributed training and performance optimization in research and production is enabled by the torch.distributed backend. Robust Ecosystem A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. Cloud Support PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Install PyTorch Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, builds that are generated nightly. Please ensure that you have met the prerequisites below (e.g., numpy), depending on your package manager. You can also install previous versions of PyTorch. Note that LibTorch is only available for C++. NOTE: Latest Stable PyTorch requires Python 3.10 or later. PyTorch Build Your OS Package Language Compute Platform Run this Command: PyTorch Build Stable (2.7.0) Preview (Nightly) Your OS Linux Mac Windows Package Pip LibTorch Source Language Python C++ / Java Compute Platform CUDA 11.8 CUDA 12.6 CUDA 12.8 ROCm 6.3 CPU Run this Command: pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 Previous versions of PyTorch Could not find the right platform for your hardware? See the PyTorch Additional Platforms page. Quick Start With Cloud Partners Get up and running with PyTorch quickly through popular cloud platforms and machine learning services. Amazon Web Services PyTorch on AWS Amazon SageMaker AWS Deep Learning Containers AWS Deep Learning AMIs Google Cloud Platform Cloud Deep Learning VM Image Deep Learning Containers Microsoft Azure PyTorch on Azure Azure Machine Learning Azure Functions Lightning Studios lightning.ai Alibaba Cloud Alibaba Cloud PAI Alibaba Cloud PAI PyTorch processor Submit a single-node PyTorch transfer learning job Ecosystem BROWSE PROJECTS Featured Projects Explore a rich ecosystem of libraries, tools, and more to support development. Captum Captum (“comprehension” in Latin) is an open source, extensible library for model interpretability built on PyTorch. PyTorch Geometric PyTorch Geometric is a library for deep learning on irregular input data such as graphs, point clouds, and manifolds. skorch skorch is a high-level library for PyTorch that provides full scikit-learn compatibility. Companies & Universities Using PyTorch Amazon Advertising Reduce inference costs by 71% and scale out using PyTorch, TorchServe, and AWS Inferentia. READ CASE STUDIES Salesforce Pushing the state of the art in NLP and Multi-task learning. Stanford University Using PyTorch’s flexibility to efficiently research new algorithmic approaches. Docs Access comprehensive developer documentation for PyTorch View Docs › Tutorials Get in-depth tutorials for beginners and advanced developers View Tutorials › Resources Find development resources and get your questions answered View Resources › Stay in touch for updates, event info, and the latest news By submitting this form, I consent to receive marketing emails from the LF and its projects regarding their events, training, research, developments, and related announcements. I understand that I can unsubscribe at any time using the links in the footers of the emails I receive. Privacy Policy. x-twitter facebook linkedin youtube github slack discord © 2026 PyTorch. Copyright © The Linux Foundation®. All rights reserved. The Linux Foundation has registered trademarks and uses trademarks. For more information, including terms of use, privacy policy, and trademark usage, please see our Policies page. Trademark Usage. Privacy Policy. 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