2 years ago

Enterprises can now leverage Nvidia’s AI Enterprise software suite to develop and run artificial intelligence workloads in Kubernetes containers or virtual machines (VMs) on VMware’s vSphere platform. Nvidia, which for several years has made AI and machine learning https://thenewstack.io/nvidia-ai-can-power-simulation-performance/, last year made AI Enterprise available to https://thenewstack.io/vmware-extends-tanzu-support-for-nvidia-ai-enterprise/ — VMware’s Kubernetes platform — on a trial basis.

“Among the top customer-requested features in Nvidia AI Enterprise 1.1 is production support for running on VMware vSphere with https://thenewstack.io/vmwares-tanzu-extends-across-all-security-layers-on-kubernetes/, which enables developers to run AI workloads on both containers and virtual machines within their vSphere environments,” https://www.linkedin.com/in/johnfanelli/, vice president of product for Nvidia, wrote in a https://blogs.nvidia.com/blog/2022/01/19/ai-enterprise-release/.

Nvidia and VMware are going to continue to ease access to AI Enterprise, with plans to soon add vSphere with Tanzu to GPU-maker’s LaunchPad program, where organizations can test and prototype AI workloads for free and learn how to develop and manage AI workloads.

“To help accelerate these workloads, many of our customers turn to Nvidia GPUs and the Nvidia AI Enterprise software suite.”