NVIDIA announced that its AI Enterprise 1.1 is now generally available, bringing new updates including production support for containerized AI with the NVIDIA software on VMware vSphere with Tanzu, which was previously only available on a trial basis.
Now, enterprises can run accelerated AI workloads on vSphere, running in both Kubernetes containers and virtual machines with NVIDIA AI Enterprise to support advanced AI development on mainstream IT infrastructure.
Among the top customer-requested features in NVIDIA AI Enterprise 1.1 is production support for running on VMware vSphere with Tanzu, which enables developers to run AI workloads on both containers and virtual machines within their vSphere environments.
This new milestone in the AI-ready platform curated by NVIDIA and VMware provides an integrated, complete stack of containerized software and hardware optimized for AI, all fully managed by IT.
NVIDIA will soon add VMware vSphere with Tanzu support to the NVIDIA LaunchPad program for NVIDIA AI Enterprise, available at nine Equinix locations around the world.
Qualified enterprises can test and prototype AI workloads at no charge through curated labs designed for the AI practitioner and IT admin.
The labs showcase how to develop and manage common AI workloads like chatbots and recommendation systems, using NVIDIA AI Enterprise and VMware vSphere, and soon with Tanzu.
“Organizations are accelerating AI and ML development projects and VMware vSphere with Tanzu running NVIDIA AI Enterprise easily empowers AI development requirements with modern infrastructure services,” said Matt Morgan, vice president of product marketing, cloud infrastructure business group at VMware. “This announcement marks another key milestone for VMware and NVIDIA in our sustained efforts to help teams leverage AI across the enterprise.”
While enterprises are eager to use containerized development for AI, the complexity of these workloads requires orchestration across many layers of infrastructure. NVIDIA AI Enterprise 1.1 provides an ideal solution for these challenges as an AI-ready enterprise platform, according to the vendor.
The 1.1 release of NVIDIA AI Enterprise also provides validation for the Domino Data Lab Enterprise MLOps Platform with VMware vSphere with Tanzu. This new integration enables more companies to cost-effectively scale data science by accelerating research, model development, and model deployment on mainstream accelerated servers.
NVIDIA AI Enterprise 1.1 features support for VMware vSphere with Tanzu and validation for the Domino Data Lab Enterprise MLOps Platform.
Amidst the new release of NVIDIA AI Enterprise, the industry ecosystem is expanding with the first NVIDIA-Certified Systems from Cisco and Hitachi Vantara, as well as a growing roster of newly qualified system integrators offering solutions for the software suite.
For more information about this news, visit www.nvidia.com.