Implementing this validated design includes deploying products from Dell Technologies, VMware, and NVIDIA. Such a task is complex and requires understanding the overall architecture and references to multiple product documents. The goal of this implementation guide is to provide an overview of the deployment steps of various products in the solution. This implementation guide does not provide detailed step-by-step instructions for deployment. It provides direction for deploying various components, and guides the reader to relevant deployment manuals for the corresponding products.
Using the information in this implementation guide, VMware professionals can use their existing skills for deployment and operation of a full-featured platform to support advanced AI use cases that take advantage of NVIDIA-accelerated GPUs and curated AI software for AI researchers, data scientists, and developers on Dell Technologies infrastructure.
This implementation guide is a companion document to the Virtualizing GPUs for AI with VMware and NVIDIA White Paper and Design Guide. See the white paper for a general overview of the solution and technology. See the design guide for more information about the reference architecture, configurations, and performance characterization.
This updated white paper reflects the latest Dell PowerEdge servers, VMware vSphere 8, and Nvidia AI Enterprise 3. For information about previous Dell PowerEdge servers, VMware vSphere 7 and Nvidia AI Enterprise 1.x, download the following documents:
Note: The contents of this document are valid for the described software and hardware versions. For information about updated configurations for newer software and hardware versions, contact your Dell Technologies sales representative.
