A recent press release states, “Domino Data Lab, provider of the industry-leading open data science platform, announced its Kubernetes-native compute grid, supporting elastic scaling for data science workloads in all major cloud platforms and on premises. With its strategic adoption of Kubernetes, Domino now enables forward-looking IT organizations to streamline and enhance their data science infrastructure with scalable multi-cloud support on top of the industry-leading orchestrator. ‘At Domino, we are committed to empowering data science teams while giving IT leaders a leading-edge platform to realize their vision for modern enterprise infrastructure,’ said Nick Elprin, CEO and co-founder of Domino. ‘We are proud to offer the most advanced data science platform on Kubernetes, giving data scientists and IT the agility model-driven businesses need’.”

The release continues, “Domino’s new compute grid provides three main benefits to IT organizations that are supporting data science teams: (1) Enable multi-cloud data science: Kubernetes supports Domino’s multi-cloud strategy, allowing Domino to run natively in any cloud or on-premise environment with the full benefits of elastic scaling of heterogeneous data science workloads; (2) Reduced cost of data science workloads: By scaling workloads elastically and packing them smartly across underlying hardware resources, Domino runs data science workloads more efficiently, reducing compute costs; and (3) Operational efficiency: Domino can now install into a company’s existing kubernetes cluster, reducing management surface area and simplifying administration by integration with existing devops stack.”

Read more at dominodatalab.com.

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