NVIDIA Announces Global Availability of NVIDIA AI Enterprise

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NVIDIA has released NVIDIA AI Enterprise globally. It’s a complete software suite of AI tools and frameworks that allows the virtualization of AI workloads on NVIDIA-Certified Systems for the hundreds of thousands of organizations that use VMware vSphere.

NVIDIA-Certified Systems designed for AI workloads on VMware vSphere with NVIDIA AI Enterprise are now available from Atos, Dell Technologies, GIGABYTE, Hewlett Packard Enterprise, Inspur, Lenovo, and Supermicro.

Dell Technologies has announced that the Dell EMC VxRail is the first hyperconverged platform to be certified as an NVIDIA-Certified System for NVIDIA AI Enterprise.

“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. “Running NVIDIA AI Enterprise on VMware vSphere delivers a certified, end-to-end AI-Ready enterprise platform that’s easy to deploy and operate.”

AI Performance on Mainstream Servers

Photo Manuvir Das, Head of Enterprise Computing at NVIDI
“Today is the beginning of a new chapter in the age of AI, as NVIDIA software brings its transformative power within reach for enterprises around the world that run their workloads on VMware with mainstream data center servers,” said Manuvir Das, Head of Enterprise Computing at NVIDIA.

IT professionals who use VMware vSphere to operate traditional business applications can now “simply and cost-effectively” handle AI workloads using the same tools they use to manage large-scale data centers and hybrid clouds with NVIDIA AI Enterprise.

NVIDIA-Certified Systems for NVIDIA AI Enterprise from Atos, Dell Technologies, GIGABYTE, Hewlett Packard Enterprise, Inspur, Lenovo, and Supermicro include NVIDIA GPUs such as the A100, A30, A40, A10, and T4. Clients can choose from a variety of mainstream accelerated systems for scale-out, multinode, AI application performance on vSphere that is virtually indistinguishable from bare-metal servers.

“The first wave of AI has been powered by specialized infrastructure that focused adoption on industry pioneers,” said Manuvir Das, Head of Enterprise Computing at NVIDIA. “Today is the beginning of a new chapter in the age of AI, as NVIDIA software brings its transformative power within reach for enterprises around the world that run their workloads on VMware with mainstream data center servers.”

Data Scientists

Domino Data Lab has announced that its Domino Enterprise MLOps Platform has been validated with NVIDIA AI Enterprise, which works on standard NVIDIA-Certified Systems, to enable data scientists run their AI workloads more effectively.

“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. “This new offering will help hundreds of thousands of enterprises accelerate data science at scale.”

NVIDIA AI Enterprise is already being used by dozens of organizations in the automotive, education, finance, healthcare, manufacturing, and technology industries throughout the world, stated NVIDIA. Many are midsize businesses that can now implement and expand data science, conversational AI, computer vision, recommender systems, and other applications utilizing the world’s most frequently used servers.

Atea, Carahsoft, Computacenter, Insight Enterprises, NTT, SoftServe, and SVA System Vertrieb Alexander GmbH are among the NVIDIA channel partners that now provide NVIDIA AI Enterprise.

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