Nvidia officially opened its AI Enterprise software Version 1.0 to general availability, and announced a new partnership to make it easier for enterprises to work with machine learning models, both key step in helping the company realize its strategy to make AI tools more realistic options for any enterprise.
Manuvir Das, head of enterprise computing at Nvidia, said the general availability of Version 1.0 means that Nvidia now offers a complete portfolio of software tools for enterprise between its layer of hardware products, such as its DGX, EGX, GPUs and DPUs, and its industry-specific application frameworks, such as Clara for healthcare, Isaac for robotics and Metropolis for smart cities.
“We’re now able to extend the power of AI to any enterprise,” Das said, explaining that the software will be an easy installation for thousands of enterprises running VMware’s vSphere 7 Version 2 as their virtualization platform. VSphere is the virtualization platform used by 70% of enterprise data centers, he said.
Das added that while early stages of AI adoption by enterprises were focused on supporting a limited set of core business functions, availability of the AI Enterprise software with VMware will allow more enterprises to extend AI to support greater numbers of line-of-business applications.
“As AI applications become critical, customers want to run them on their enterprise infrastructure for manageability, scalability, security and governance,” said Krish Prasad, senior vice president and general manager of the Cloud Platform Business Unit at VMware, in a statement. “Running Nvidia AI Enterprise on VMware vSphere delivers a certified, end-to-end AI-Ready enterprise platform that’s easy to deploy and operate.”
Meanwhile, Nvidia also is working with Domino Data Lab, which is validating its Domino Enterprise MLOps Platform with Nvidia AI Enterprise, which runs on mainstream Nvidia-Certified Systems. Domino’s platform introduces “reproducability” and greater efficiency to the process of running machine learning models in support of AI applications, a process which otherwise can be tedious and require frequent tweaking of models, Das said.
“Partnering closely with Nvidia, we’re deepening our product integrations by enabling the Domino Enterprise MLOps Platform to run with a broader range of Nvidia GPUs and validating it for Nvidia AI Enterprise,” said Nick Elprin, CEO and co-founder of Domino Data Lab, in a statement. “This new offering will help hundreds of thousands of enterprises accelerate data science at scale.”
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