VMware Join Hands with NVIDIA To Build AI For Organizations By CIOTechOutlook Team

VMware Join Hands with NVIDIA To Build AI For Organizations

CIOTechOutlook Team | Wednesday, 23 August 2023, 04:09 IST

To prepare the hundreds of thousands of businesses that use VMware's cloud infrastructure for the era of generative AI, the company VMware, Inc. announced the expansion of their strategic relationship.

Enterprises will be able to operate generative AI applications like intelligent chatbots, assistants, search, and summarization thanks to VMware Private AI Foundation and NVIDIA. Built on VMware Cloud Foundation and tailored for AI, the platform will be a fully integrated solution with generative AI software and accelerated compute from NVIDIA.

“Generative AI and multi-cloud are the perfect match,” said Raghu Raghuram, CEO, VMware. “Customer data is everywhere — in their data centers, at the edge, and in their clouds. Together with NVIDIA, we’ll empower enterprises to run their generative AI workloads adjacent to their data with confidence while addressing their corporate data privacy, security and control concerns.”

“Enterprises everywhere are racing to integrate generative AI into their businesses,” said Jensen Huang, founder and CEO, NVIDIA. “Our expanded collaboration with VMware will offer hundreds of thousands of customers — across financial services, healthcare, manufacturing and more — the full-stack software and computing they need to unlock the potential of generative AI using custom applications built with their own data.”

Enterprises are looking to simplify the creation, testing, and deployment of generative AI systems in order to realize commercial benefits more quickly. According to McKinsey, generative AI might boost the global economy by up to $4.4 trillion annually1.

Enterprises will be able to use this capability thanks to VMware Private AI Foundation and NVIDIA, customizing large language models, creating more private and secure models for internal use, providing generative AI as a service to their users, and more securely running inference workloads at scale.