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October 15, 2025 in Blog

PyTorch 2.9 Release Blog

We are excited to announce the release of PyTorch® 2.9 (release notes)! This release features: Updates to the stable libtorch ABI for third-party C++/CUDA extensions Symmetric memory that enables easy…
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October 15, 2025 in Announcements, Blog

Your Guide to PyTorch Conference 2025: What to Know Before You Go

PyTorch Conference: October 22–23, 2025, San Francisco, CA Open Source AI Week’s flagship event, PyTorch Conference 2025, brings together AI pioneers, researchers, developers, and startup founders for keynotes, technical talks, tutorials,…
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October 9, 2025 in Announcements, Blog

Meet the 2025 PyTorch Ambassadors

We’re excited to welcome the first cohort of PyTorch Ambassadors ever! The new PyTorch Ambassador Program highlights and supports passionate community leaders who educate, advocate for, build with PyTorch Foundation…
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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.

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. Anaconda is our recommended package manager since it installs all dependencies. You can also install previous versions of PyTorch. Note that LibTorch is only available for C++.

NOTE: Latest Stable PyTorch requires Python 3.9 or later. Latest Preview (Nightly) 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

Ecosystem

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.