PyTorch vs. Torch Comparison


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About 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. 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, 1.10 builds that are generated nightly. Please ensure that you have met the prerequisites (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies.	About Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. The goal of Torch is to have maximum flexibility and speed in building your scientific algorithms while making the process extremely simple. Torch comes with a large ecosystem of community-driven packages in machine learning, computer vision, signal processing, parallel processing, image, video, audio and networking among others, and builds on top of the Lua community. At the heart of Torch are the popular neural network and optimization libraries which are simple to use, while having maximum flexibility in implementing complex neural network topologies. You can build arbitrary graphs of neural networks, and parallelize them over CPUs and GPUs in an efficient manner.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Supported iPad Supported Android Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Supported iPad Supported Android Supported Chromebook Not Supported
Audience Researchers in need of an open source machine learning solution to accelerate research prototyping and production deployment	Audience Developers looking for a scientific computing framework for their neural networks and energy-based models
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information PyTorch Founded: 2016 pytorch.org	Company Information Torch torch.ch/
Alternatives TensorFlow	Alternatives Sharky Neural Network SharkTime Software
Core ML Apple	PyTorch
Create ML Apple	Neural Designer Artelnics
DeepSpeed Microsoft	SHARK
AWS Neuron Amazon Web Services View All	Fabric for Deep Learning (FfDL) IBM View All
Categories AI Development Supported AI/ML Model Training Supported Machine Learning Supported Neural Network Supported	Categories Machine Learning Supported Neural Network Supported

Integrations AWS Elastic Fabric Adapter (EFA) Supported Akira AI Supported Amazon EC2 G5 Instances Supported Amazon EC2 Trn1 Instances Supported Amazon EC2 Trn2 Instances Supported Amazon SageMaker Studio Lab Supported Azure Marketplace Supported Bayesforge Supported BentoML Supported Cirrascale Supported Comet LLM Supported Dataoorts GPU Cloud Supported GLM-5.3 Supported Gemma 3n Supported Gemma 4 Supported HPC-AI Supported Humtap Supported NVIDIA DeepStream SDK Supported Yamak.ai Supported neptune.ai Supported Show More Integrations View All 150 Integrations	Integrations AWS Elastic Fabric Adapter (EFA) Not Supported Akira AI Not Supported Amazon EC2 G5 Instances Not Supported Amazon EC2 Trn1 Instances Not Supported Amazon EC2 Trn2 Instances Not Supported Amazon SageMaker Studio Lab Not Supported Azure Marketplace Not Supported Bayesforge Not Supported BentoML Not Supported Cirrascale Not Supported Comet LLM Not Supported Dataoorts GPU Cloud Not Supported GLM-5.3 Not Supported Gemma 3n Not Supported Gemma 4 Not Supported HPC-AI Not Supported Humtap Not Supported NVIDIA DeepStream SDK Not Supported Yamak.ai Not Supported neptune.ai Not Supported Show More Integrations View All 2 Integrations
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