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    Platform Component: Workbench

    Scale Data Science with Collaborative Research and Development

    Domino’s data science workbench provides the flexibility and power that data scientists need to accelerate research and make breakthroughs that deliver real business impact. They can use the tools they want, on hardware optimized for the task at hand, in a governed and scalable environment that fosters reproducibility, reusability, and collaboration.

    Streamline Research with Self-Service Scalable Compute and Tools

    Streamline Research with Self-Service Scalable Compute and Tools

    • Spin up Jupyter, RStudio, SAS Studio, and other interactive workspaces with just a few clicks
    • Add and update libraries, tools, and algorithm packages to support rapid innovation
    • Link to Git-based repositories to quickly integrate existing code
    • Itereate and collaborate on projects to expedite research breakthroughs.

    Power Computationally Intensive Experiments Simultaneously

    Power Computationally Intensive Experiments Simultaneously

    • Elastically scale compute resources, including CPU, GPU, and Spark, Ray and Dask distributed compute frameworks, on-demand without DevOps
    • Run hundreds of experiments in parallel, and easily compare the results
    • Maximize productivity, eliminate lost work, and save infrastructure costs with Durable Workspaces.

    Automatically Track All Work and Progress Over Time

    Automatically Track All Work and Progress Over Time

    • Easily find and reproduce past results, with tracked code, data, tools, packages, and compute environments
    • No more concerns over inconsistent versions and changes to the underlying data
    • Link your Domino project to a Jira ticket, and synchronize project status

    We’re streamlining the development and deployment of deep learning models to mitigate supply chain risk, analyze manufacturing defects, predict maintenance needs, and more. Domino makes it easy for our data scientists to rapidly access NVIDIA GPUs so we can support complex use cases like training deep neural networks.

    Mike Johnson Lead Data Scientist, Lockheed Martin

    Unleash data science

    See why over 20% of the Fortune 100 has chosen Domino

    Domino Data Lab Enterprise MLOps Platform | Customer stories