NVIDIA Offers Production Support for VMware vSphere with Tanzu for AI development with Kubernetes Containers and Virtual Machines

NVIDIA has announced that its AI Enterprise 1.1 is now generally available, bringing new updates including production support for containerized AI with NVIDIA software on VMware vSphere with Tansu, which was previously only available on a beta basis.

Now, organizations can run accelerated AI workloads on vSphere, running in both Kubernetes containers and virtual machines using NVIDIA AI Enterprise to support advanced AI development in mainstream IT infrastructure.

Among the top customer-requested features of NVIDIA AI Enterprise 1.1 is production support to run on VMware vSphere with Tanzo, which enables developers to run AI workloads on both containers and virtual machines within their vSphere environments.

This new milestone in an AI-ready platform sponsored by NVIDIA and VMware provides an integrated, integrated suite of software and hardware packaged in AI-optimized containers, entirely managed by IT.

NVIDIA will soon add VMware vSphere with Tansu support for the NVIDIA LaunchPad for NVIDIA AI Enterprise, available at nine Equinix locations around the world.

Eligible organizations can test and prototype their AI workloads for free through the coordinated labs designed for the AI ​​practitioner and IT administrator.

The labs show how to develop and manage popular AI workloads such as chatbots and recommendation systems, using NVIDIA AI Enterprise and VMware vSphere, and soon with Tansu.

“Enterprises are accelerating AI and machine learning development projects, while VMware vSphere with Tenzo that operates NVIDIA AI Enterprise seamlessly enables AI development requirements through Modern infrastructure services. “This announcement marks another major milestone for VMware and NVIDIA in our ongoing efforts to help teams leverage AI across the enterprise.”

While companies are eager to use AI-mobilized development, the complexity of these workloads requires coordination across many layers of infrastructure. NVIDIA AI Enterprise 1.1 provides an ideal solution to these challenges as an AI-ready enterprise platform, according to the vendor.

NVIDIA AI Enterprise version 1.1 also provides Domino Data Lab Enterprise MLOps Platform validation with VMware vSphere with Tanzo. 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 Tanzo and validated Domino Data Lab Enterprise MLOps Platform.

Amid the new release of NVIDIA AI Enterprise, the industrial ecosystem is expanding with the first NVIDIA-certified systems from Cisco and Hitachi Vantara, as well as a growing list of newly qualified system integrators who provide solutions for the software suite.

For more information on this news, visit www.nvidia.com.

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