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TensorBoard Integration

cnvrg allows you to instantly connect TensorBoard 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 TensorBoard integration

TensorBoard is a visualization tool by Tensorflow for machine learning experimentation and tracking. TensorBoard is a tool for providing the measurements and visualizations needed during the machine learning workflow. It enables tracking experiment metrics like loss and accuracy, visualizing the model graph, projecting embeddings to a lower dimensional space, and much more.

Connect cnvrg & TensorBoard in minutes

Accelerate your AI development easily connecting cnvrg & TensorBoard 

One-click development environment

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