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Domino Data Lab Teams With Nvidia, NetApp To Enable MLOps Across Hybrid Environments
New integrations between Domino Data’s MLOps software, Nvidia high-performance GPUs and NetApp data management solutions, along with a new reference architecture, will speed AI/ML workloads across hybrid and multi-cloud environments, the companies say.
MLOps platform developer Domino Data Lab has teamed up with chipmaker Nvidia and data management and storage system supplier NetApp to develop new solutions and a new reference architecture that will facilitate machine learning and data science workloads running across hybrid and multi-cloud systems.
In an announcement Tuesday, made during Nvidia’s GTC developer conference, Domino Data Lab, Nvidia and NetApp unveiled new integrations between Domino Data Lab’s Nexus hybrid and multi-cloud MLOps architecture, Nvidia GPUs and NetApp data management and storage systems.
The companies say the new integrated solutions and reference architecture will allow businesses and organizations to more easily run and manage AI/ML and data science workloads either within on-premises data centers or on the Amazon Web Services cloud platform without refactoring them.
“It’s all of us working together with all of our hybrid capabilities to provide a hybrid, multi-cloud solution for customers,” said Thomas Robinson, vice president of strategic partnerships and corporate development at Domino Data Lab, “We’re hearing a lot from customers that hybrid and multi-cloud is the future of machine learning and data science work.”