PyTorch
pytorch.org
Spec sheet
- What it does
- PyTorch is an end-to-end machine learning framework for fast experimentation and production.Read 30 Sep 2026 · pytorch.org
- Purpose
- PyTorch enables fast, flexible experimentation and efficient production through a user-friendly front end, distributed training, and an ecosystem of tools and libraries.Read 30 Sep 2026 · pytorch.org
- Support
- The Foundation directs users with technical questions to the PyTorch discussion community.Read 30 Sep 2026 · pytorch.org
- Build maturity
- Stable builds are described as the most tested and supported, while preview builds are nightly and not fully tested or supported.Read 30 Sep 2026 · pytorch.org
- C++ frontend
- The C++ frontend is intended for research in high-performance, low-latency, and bare-metal C++ applications.Read 30 Sep 2026 · pytorch.org
- Cloud integrations
- The site lists AWS, Google Cloud, Microsoft Azure, Lightning Studios, and Alibaba Cloud as cloud options.Read 30 Sep 2026 · pytorch.org
- Distributed training
- PyTorch provides asynchronous collective operations and peer-to-peer communication through Python and C++ interfaces.Read 30 Sep 2026 · pytorch.org
- Ecosystem
- The site identifies Captum, PyTorch Geometric, and skorch as ecosystem projects or tools.Read 30 Sep 2026 · pytorch.org
- Governance
- The PyTorch Foundation is hosted by the Linux Foundation and describes itself as a vendor-neutral home for open-source AI projects.Read 30 Sep 2026 · pytorch.org
- Hardware
- The installer lists CPU, CUDA, and ROCm compute platform options.Read 30 Sep 2026 · pytorch.org
- Install requirement
- The Get Started page says the latest stable PyTorch requires Python 3.10 or later.Read 30 Sep 2026 · pytorch.org
- Installation platforms
- The local installer offers Linux, Mac, and Windows options and lists CPU, CUDA, and ROCm compute choices.Read 30 Sep 2026 · pytorch.org
- Languages
- PyTorch offers Python and C++ front ends, and the installer lists Python and C++/Java language choices.Read 30 Sep 2026 · pytorch.org
- Mobile
- The site describes an experimental workflow for deploying PyTorch models from Python to iOS and Android.Read 30 Sep 2026 · pytorch.org
- Model deployment
- TorchServe supports multi-model serving, logging, metrics, and REST endpoints for deploying PyTorch models.Read 30 Sep 2026 · pytorch.org
- Model export
- PyTorch supports exporting models in the ONNX format for use with compatible platforms and runtimes.Read 30 Sep 2026 · pytorch.org
- Model serving
- TorchServe supports deploying PyTorch models at scale, including multi-model serving, logging, metrics, and REST endpoints.Read 30 Sep 2026 · pytorch.org
- ONNX
- PyTorch can export models in ONNX format for use with ONNX-compatible platforms, runtimes, and visualizers.Read 30 Sep 2026 · pytorch.org
- Organization
- The PyTorch Foundation is hosted by the Linux Foundation and describes itself as a vendor-neutral home for open-source AI projects.Read 30 Sep 2026 · pytorch.org
- Production
- TorchScript supports transitioning from eager mode to graph mode for speed, optimization, and functionality in C++ runtime environments.Read 30 Sep 2026 · pytorch.org
- Requirements
- The site says the latest stable PyTorch requires Python 3.10 or later.Read 30 Sep 2026 · pytorch.org
- Security governance
- The Foundation says its Governing Board oversees Foundation activities and links to a Foundation Code of Conduct.Read 30 Sep 2026 · pytorch.org
- Who it is for
- The Foundation says its open-source projects serve developers, researchers, and enterprises building and deploying AI.Read 30 Sep 2026 · pytorch.org
Where Specifiction places it
- Deep Learning Software#29 of 357.3