SAN FRANCISCO, Nov. 19, 2019 (GLOBE NEWSWIRE) -- Domino Data Lab, provider of the industry-leading open data science platform, today 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.”
Domino’s new compute grid provides three main benefits to IT organizations that are supporting data science teams:
"Our customers want a centralized platform that supports their entire data science lifecycle,” said Jim Franklin, director of AI, Data Analytics and Business Applications Product Management at Dell Technologies. “Working with Domino Data Lab, we’ve announced a validated design in our Ready Solutions for AI portfolio using Domino's new Kubernetes-based compute grid on top of Dell infrastructure to serve customers’ unique data science needs."
About Domino Data Lab
Domino Data Lab provides an open data science platform to help companies run their business on models. Model-driven companies like Allstate, Dell, and Bayer use Domino to accelerate breakthrough research, increase collaboration, and rapidly deliver high-impact models. Founded in 2013 and based in San Francisco, Domino is backed by Sequoia Capital, Coatue, Bloomberg Beta, and Zetta Venture Partners. To learn more, visit dominodatalab.com.