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Tensorflow Integration

cnvrg allows you to instantly connect Tensorflow 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 Tensorflow integration

Tensorflow is an open source library and framework used by data scientists to design, build, and train deep learning models and large-scale machine learning. The software library is used for dataflow and differentiable programming across a range of tasks. It is a symbolic math library, and is also used for machine learning applications such as neural networks. It is used for both research and production at Google.‍

Connect cnvrg & Tensorflow in minutes

Accelerate your AI development easily connecting cnvrg & Tensorflow

One-click development environment

  • Get started quickly with out-of-the-box Tensorflow 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 Tensorflow 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