Domino Data Lab Launches Fully Kubernetes-Native Data Science Platform

By on

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.

Image used under license from Shutterstock.com

We use technologies such as cookies to understand how you use our site and to provide a better user experience. This includes personalizing content, using analytics and improving site operations. We may share your information about your use of our site with third parties in accordance with our Privacy Policy. You can change your cookie settings as described here at any time, but parts of our site may not function correctly without them. By continuing to use our site, you agree that we can save cookies on your device, unless you have disabled cookies.
I Accept