NVIDIA today announced GA of NVIDIA AI Enterprise, a suite of AI tools and frameworks designed to enable users of VMware vSphere to virtualize AI workloads on NVIDIA-Certified Systems.
Systems makers Atos, Dell Technologies, GIGABYTE, Hewlett Packard Enterprise, Inspur, Lenovo and Supermicro are offering NVIDIA-Certified Systems optimized for AI workloads on VMware vSphere with NVIDIA AI Enterprise, according to NVIDIA. Separately, Dell Technologies today announced Dell EMC VxRail as the first hyperconverged platform to be qualified for NVIDIA AI Enterprise.
To help teams of data scientists run their AI workloads most efficiently, Domino Data Lab today announced it is validating its Domino Enterprise MLOps Platform with NVIDIA AI Enterprise, which runs on mainstream NVIDIA-Certified Systems.
“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.”
“As AI applications become critical, customers want to run them on their enterprise infrastructure for manageability, scalability, security and governance,” said Krish Prasad, SVP/GM 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.”
“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 said automotive, education, finance, healthcare, manufacturing and technology companies worldwide are among the early adopters using AI Enterprise. “Many are midsize companies that can now develop a broad range of applications using the world’s most widely used servers to deploy and scale data science, conversational AI, computer vision, recommender systems and more,” the company said.
Cerence Inc., a provider of conversational AI for automotive and mobility markets with nearly 400 million Cerence-powered vehicles shipped, uses AI Enterprise to develop intelligent in-car assistants and digital co-pilots.
Italian public research institute, the University of Pisa, is supporting HPC and AI training across multiple disciplines to advance scientific studies with the NVIDIA software.
“NVIDIA AI Enterprise allowed us to expand our support for our researchers and students who utilize data analytics and AI deep learning and machine learning, while making these applications easier to deploy and manage,” said Maurizio Davini, chief technology officer at the University of Pisa. “Our testing has shown that these latest collaborations between NVIDIA and VMware deliver the full potential of our GPU-accelerated virtualized infrastructure at near bare-metal speeds.”
NVIDIA AI Enterprise enables IT professionals that use VMware vSphere to run traditional enterprise applications to support AI workloads while using the same tools they use to manage large-scale data centers and hybrid clouds.
NVIDIA-Certified Systems from Atos, Dell Technologies, GIGABYTE, Hewlett Packard Enterprise, Inspur, Lenovo and Supermicro for NVIDIA AI Enterprise feature a range of NVIDIA GPUs, including the A100, A30, A40, A10 and T4. These mainstream accelerated systems provide customers with a broad selection of options for scale-out, multinode, AI application performance on vSphere that is virtually indistinguishable from bare-metal servers.
NVIDIA AI Enterprise is now available from NVIDIA channel partners, including Atea, Carahsoft, Computacenter, Insight Enterprises, NTT, SoftServe and SVA System Vertrieb Alexander GmbH. The company said subscription licenses start at $2,000 per CPU socket for one year and include Business Standard Support (five days a week, nine hours a day). Perpetual licenses are $3,595 and require additional support purchase. Customers can upgrade to Business Critical Support for 24×7 access to NVIDIA AI expertise.
