PyTorch Conference North America October 20-21, 2026 San Jose, CA #PyTorchCon Get Started: Install PyTorch Locally or Launch Instantly on Supported Cloud Platforms PyTorch Conference North America Announces 2026 Keynotes PyTorch by the Sea: The inaugural Santa Cruz PyTorch Meetup FBTriton Infra: Upstream Ingestion, Hierarchical Validation, Ideals vs Realities Join PyTorch Foundation As 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. Key Features & Capabilities Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Scalable distributed training and performance optimization in research and production is enabled by the torch.distributed backend. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. 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. 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 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 Alibaba Cloud PAI Alibaba Cloud PAI PyTorch processor Submit a single-node PyTorch transfer learning job Explore a rich ecosystem of libraries, tools, and more to support development. Captum (“comprehension” in Latin) is an open source, extensible library for model interpretability built on PyTorch. PyTorch Geometric

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