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    Platform Component: Enterprise Infrastructure Foundation

    Enable Self-Service Infrastructure While Maintaining Enterprise Security and Control

    Domino empowers data science teams with DevOps superpowers to orchestrate elastic scaling of workloads across all major cloud platforms and on-premises hardware.  Forward-looking IT leaders can realize their vision of creating a modern, agile, and future-proofed enterprise data science infrastructure to support their model-driven business.

    Provide Self-Service Access to Scalable Compute Resources

    Provide Self-Service Access to Scalable Compute Resources

    • Elastically scale compute resources, including CPU, GPU, and Spark clusters, on-demand
    • Automatically distribute all required packages and dependencies – no more DevOps headaches and wasted time
    • Consolidate siloed data science stacks to reduce management surface area and cost of ownership

    Enable Standards and Governance Across Tools, Languages, and Teams

    Enable Standards and Governance Across Tools, Languages, and Teams

    • Gain visibility into all data science work being conducted across the organization
    • Ensure secure and auditable data science operations with permissioning, SSO, credential propagation, and more
    • Manage costs by allocating specialized resources to the teams and projects that require them

    Keep up with the Latest Advances in Data Science

    Keep up with the Latest Advances in Data Science

    • Add new tools and packages as soon as they become available, and manage updates easily
    • Provide instant access to distributed computing frameworks such as Spark, Dask, and Ray to scale experimentation capacity
    • Run SAS and MathWorks code and products seamlessly alongside other open-source tools
    • Share information with external systems to provide compatibility with existing processes

    Domino on Kubernetes gives our data science team the flexibility we need while offering peace of mind to our partners in IT. We can now run Domino across diverse infrastructure, including both on-premises and cloud-based environments, while also plugging into existing monitoring, logging, and enterprise security tools that our IT team knows and trusts. It’s a big step forward on the path to make Data Science a first-class citizen that’s aligned with Enterprise IT.

    Joshua Cluff Data Science Operations Manager, National Oilwell Varco

    Unleash data science

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    Domino Data Lab Enterprise MLOps Platform | Customer stories