This platform accelerates the speed at which developers can build AI and high-performance data analytics for their business, enables organizations to scale modern workloads on the same VMware vSphere infrastructure they’ve already invested in, and delivers enterprise-class manageability, security, and availability. This integrated platform delivers best-in-class AI software, the NVIDIA Enterprise AI suite, optimized and exclusively certified to run on the industry’s leading virtualization platform, VMware vSphere, with industry-leading accelerated servers that have been NVIDIA-Certified. VMware and NVIDIA have partnered together to unlock the power of AI for every business, by delivering an end-to-end enterprise platform optimized for AI workloads. This scenario is optional and requires additional hardware and configuration steps, to scale out the compute resources on multiple GPUs of multiple ESXi hosts to increase the performance of AI workloads. Multi-node learning by deploying multiple VMs on multiple interconnected ESXi servers with GPU(s) and Mellanox Network Interface Card installed.This is a basic scenario for users to start with to run the AI workloads with minimum configurations on vSphere with NVIDIA GPU(s). Single node learning by deploying single or multiple VMs on a single VMware ESXi™ server with GPU(s) installed.This document describes two deployment scenarios: It includes NVIDIA Enterprise AI Suite, VMware vSphere® 7 update 2, NVIDIA A100 GPU-based servers, VM configurations and settings. This deployment guide illustrates the prerequisites and processes of setting up the newly introduced AI-Ready Enterprise Platform from NVIDIA and VMware.
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