If there was any doubt Nvidia has arrived as an enterprise player, its deal with VMware should erase all doubt.\nThe GPU developer and VMware announced at the recent VMworld 2020 conference that they plan to integrate their respective core technologies through a series of development and networking partnerships.\nAs part of the collaboration, Nvidia\u2019s set of AI software-research tools on the Nvidia NGC hub will be integrated into VMware\u2019s vSphere, Cloud Foundation, and Tanzu platforms. This will help accelerate AI adoption, enabling enterprises to extend existing infrastructure for AI, manage all applications with a single set of operations, and deploy AI-ready infrastructure where the data resides, across the data center, cloud and edge.\n\nTo achieve this, the two firms are embarking on what they call Project Monterey, an architecture to provide improved AI performance using Nvidia\u2019s SmartNIC technology and Nvidia\u2019s latest programmable BlueField-2 data-processing units (DPUs) from Mellanox.\nThe new architecture will combine VMware Cloud Foundation and Nvidia\u2019s BlueField-2 DPU to create a next-generation infrastructure built for AI, machine learning and other high-performance data-centric apps.\nIt will also deliver expanded application acceleration beyond AI to all enterprise workloads and provide an extra layer of security through a new architecture that offloads critical data-center services from the CPU to SmartNICs and programmable DPUs.\n\u201cWe\u2019re going to bring the Nvidia AI computing platform and our AI application frameworks onto VMware,\u201d said Nvidia CEO Jen-Hsun Huang on a live stream discussion for the conference. \u201cAI is really a supercomputing type of application, it\u2019s a scale-out, distributed, accelerated computing application. In order to make that possible on VMware, fundamental computer science has to happen between our two companies.\u201d\nVMware CEO Pat Gelsinger, who made his name at Intel as a top engineer, acknowledged the arrival of the GPU in the enterprise. \u201cWe\u2019ve always been a CPU-centric company. A GPU was something over there and maybe we virtualized or connected to it over the network,\u201d he said.\nHuang teasingly shook his head and said \u201cShame on you, Pat,\u201d to laughter.\n\u201cBut today we\u2019re making the GPU a first-class compute citizen. Through our network fabric, through the VMware virtual layer, it is coming as an equal citizen in how we treat that compute fabric,\u201d Gelsinger said.\nTo achieve their goals, AI needs to be easier for developers to use, it needs to work seamlessly anywhere, from the cloud to the edge to the data center and elsewhere, and it needs to provide safe storage for the huge amounts of data it requires, he said.\nThe integration of Nvidia\u2019s NGC with VMware vSphere and VMware Cloud Foundation is designed to make it easier for more companies to deploy and manage AI for their most demanding workloads, according to the companies. The services are expected to be used by a wide range of enterprises, from healthcare to financial services, retail and manufacturing, using containers and virtual machines on the same platform as their enterprise applications, at scale across the hybrid cloud.\nThe ability for existing VMware customers to do all this using the VMware tools they already know and use is what can really help drive the adoption of the technology, said Huang.\nThis really shows how much of a player Nvidia has become. This is the sort of announcement you\u2019d expect from Intel or AMD, not a GPU maker. But Nvidia, which started out making first-person shooter games go faster, has grown into a force for the enterprise with its focus on AI.