PyTorch
PyTorchSkip to main content Submit to Speak at PyTorch Conference Europe 2026, April 7–8, Paris Search Close Search search Menu LearnGet StartedTutorialsLearn the BasicsPyTorch RecipesIntro to PyTorch – YouTube SeriesWebinarsCommunityLandscapeJoin the EcosystemCommunity HubForumsDeveloper ResourcesMeeting CalendarPyTorch Contributor AwardsPyTorch AmbassadorsProjectsPyTorchvLLMDeepSpeedRayHost Your ProjectDocsPyTorchDomainsBlog & NewsBlogAnnouncementsCase StudiesEventsNewsletterAboutPyTorch FoundationMembersGoverning BoardTechnical Advisory CouncilCloud Credit ProgramStaffContactBrand GuidelinesJOINsearch Get StartedChoose Your Path: Install PyTorch Locally or Launch Instantly on Supported Cloud PlatformsGet started January 29, 2026 in Blog Accelerating On-Device ML Inference with ExecuTorch and Arm SME2 Interactive image segmentation has become a defining mobile experience across the world’s most popular apps. In plain terms, you tap (or draw a rough hint) on an image, and the… Read More January 21, 2026 in Blog PyTorch 2.10 Release Blog We are excited to announce the release of PyTorch® 2.10 (release notes)! This release features a number of improvements for performance and numerical debugging. Performance has been a focus for… Read More January 15, 2026 in Announcements, Blog PyTorch Foundation in 2025: A Year in Review and the Road Ahead 2025 was a defining year for PyTorch Foundation. In May, we announced our expansion into an umbrella foundation and welcomed our first foundation-hosted projects: vLLM and DeepSpeed, alongside PyTorch. In… Read More Join PyTorch FoundationAs a member of the PyTorch Foundation, you’ll 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 ReadyTransition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Distributed TrainingScalable distributed training and performance optimization in research and production is enabled by the torch.distributed backend. Robust EcosystemA rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. Cloud SupportPyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Install PyTorchSelect 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 Quick Start With Cloud PartnersGet up and running with PyTorch quickly through popular cloud platforms and machine learning services.Amazon Web ServicesPyTorch on AWSAmazon SageMakerAWS Deep Learning ContainersAWS Deep Learning AMIsGoogle Cloud PlatformCloud Deep Learning VM ImageDeep Learning ContainersMicrosoft AzurePyTorch on AzureAzure Machine LearningAzure FunctionsLightning Studioslightning.ai Ecosystem BROWSE PROJECTS Featured ProjectsExplore a rich ecosystem of libraries, tools, and more to support development. CaptumCaptum (“comprehension” in Latin) is an open source, extensible library for model interpretability built on PyTorch. PyTorch GeometricPyTorch Geometric is a library for deep learning on irregular input data such as graphs, point clouds, and manifolds. skorchskorch is a high-level library for PyTorch that provides full scikit-learn compatibility. Companies & Universities Using PyTorch Amazon AdvertisingReduce inference costs by 71% and scale out using PyTorch, TorchServe, and AWS Inferentia.READ CASE STUDIES SalesforcePushing the state of the art in NLP and Multi-task learning. Stanford UniversityUsing PyTorch’s flexibility to efficiently research new algorithmic approaches. DocsAccess comprehensive developer documentation for PyTorchView Docs › TutorialsGet in-depth tutorials for beginners and advanced developersView Tutorials › ResourcesFind development resources and get your questions answeredView Resources › Stay in touch fo...
PyTorchSkip to main content Submit to Speak at PyTorch Conference Europe 2026, April 7–8, Paris Search Close Search search Menu LearnGet StartedTutorialsLearn the BasicsPyTorch RecipesIntro to PyTorch – YouTube SeriesWebinarsCommunityLandscapeJoin the EcosystemCommunity HubForumsDeveloper ResourcesMeeting CalendarPyTorch Contributor AwardsPyTorch AmbassadorsProjectsPyTorchvLLMDeepSpeedRayHost Your ProjectDocsPyTorchDomainsBlog & NewsBlogAnnouncementsCase StudiesEventsNewsletterAboutPyTorch FoundationMembersGoverning BoardTechnical Advisory CouncilCloud Credit ProgramStaffContactBrand GuidelinesJOINsearch Get StartedChoose Your Path: Install PyTorch Locally or Launch Instantly on Supported Cloud PlatformsGet started January 29, 2026 in Blog Accelerating On-Device ML Inference with ExecuTorch and Arm SME2 Interactive image segmentation has become a defining mobile experience across the world’s most popular apps. In plain terms, you tap (or draw a rough hint) on an image, and the… Read More January 21, 2026 in Blog PyTorch 2.10 Release Blog We are excited to announce the release of PyTorch® 2.10 (release notes)! This release features a number of improvements for performance and numerical debugging. Performance has been a focus for… Read More January 15, 2026 in Announcements, Blog PyTorch Foundation in 2025: A Year in Review and the Road Ahead 2025 was a defining year for PyTorch Foundation. In May, we announced our expansion into an umbrella foundation and welcomed our first foundation-hosted projects: vLLM and DeepSpeed, alongside PyTorch. In… Read More Join PyTorch FoundationAs a member of the PyTorch Foundation, you’ll 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 ReadyTransition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Distributed TrainingScalable distributed training and performance optimization in research and production is enabled by the torch.distributed backend. Robust EcosystemA rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. Cloud SupportPyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Install PyTorchSelect 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 Quick Start With Cloud PartnersGet up and running with PyTorch quickly through popular cloud platforms and machine learning services.Amazon Web ServicesPyTorch on AWSAmazon SageMakerAWS Deep Learning ContainersAWS Deep Learning AMIsGoogle Cloud PlatformCloud Deep Learning VM ImageDeep Learning ContainersMicrosoft AzurePyTorch on AzureAzure Machine LearningAzure FunctionsLightning Studioslightning.ai Ecosystem BROWSE PROJECTS Featured ProjectsExplore a rich ecosystem of libraries, tools, and more to support development. CaptumCaptum (“comprehension” in Latin) is an open source, extensible library for model interpretability built on PyTorch. PyTorch GeometricPyTorch Geometric is a library for deep learning on irregular input data such as graphs, point clouds, and manifolds. skorchskorch is a high-level library for PyTorch that provides full scikit-learn compatibility. Companies & Universities Using PyTorch Amazon AdvertisingReduce inference costs by 71% and scale out using PyTorch, TorchServe, and AWS Inferentia.READ CASE STUDIES SalesforcePushing the state of the art in NLP and Multi-task learning. Stanford UniversityUsing PyTorch’s flexibility to efficiently research new algorithmic approaches. DocsAccess comprehensive developer documentation for PyTorchView Docs › TutorialsGet in-depth tutorials for beginners and advanced developersView Tutorials › ResourcesFind development resources and get your questions answeredView Resources › Stay in touch fo...