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pytorch

PyTorch Integration

cnvrg allows you to instantly connect PyTorch to automate your work and accelerate your development

Flexible ML Platform

Flexible

Use any language, AI framework, and compute environment. Integrate and
 version any kind of data to reuse in any project, experiment, and/or notebook 

Interactive ML Platform

Interactive

Use any development environment like JupyterLab, RStudio, and more with pre-installed dependencies and version control

Unified ML Platform

Unified

One unified environment to manage, build and deploy your machine learning with all your favorite data science tools

Learn more about the PyTorch integration

PyTorch Is an open source machine learning library used for computer vision and natural language processing (NLP) based on the Torch library. It is primarily developed by Facebook’s AI Research lab. PyTorch provides two high-level features: Tensor computing (like NumPy) with strong acceleration via graphics processing units (GPU) and Deep neural networks built on a tape-based autodiff system.

Connect cnvrg & PyTorch in minutes

Accelerate your AI development easily connecting cnvrg & PyTorch

One-click development environment

  • Get started quickly with out-of-the-box PyTorch integration with pre-built containers
  • Speed up development with container-based ML platform
  • Leverage advanced algorithms with an easy to use ML workspace and the Intel® Tiber™ AI Studio AI library
Machine Learning Tracking
Machine Learning Pipelines

Production ML at Scale

  • Scale your usage of PyTorch across hundreds of nodes
  • Effortlessly go from small to big data with an auto-managed and scalable cluster infrastructure
  • Flexibility to run locally or in your own compute resources
Machine Learning Pipelines

Extendable Machine Learning Platform

  • Build and attach your own docker containers with a fully containerized data science platform
  • Connect private or third-party container registries (Docker Hub, NGC) in a few clicks
  • Access the industry’s best ML containers released periodically by the Intel® Tiber™ AI Studio solutions team
Dataset Management