Delivering AI to Every Enterprise

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VMware and NVIDIA built an elevated strategic partnership to bring an end-to-end platform for AI and to deliver a new architecture for the data center, cloud and edge using SmartNICs to support the needs of next-generation applications. This partnership will unlock the potential of AI and next-generation apps for every business in every industry, from medical researchers looking to accelerate breakthroughs in treatments and immunotherapy, to financial services organizations protecting assets with advanced fraud detection to retailors exploring new insights that enhance customer care to many more.

AI Ready Platform for the Enterprise

AI and data driven apps are becoming increasingly mission critical, as nearly every organization looks to tap into analytics and insights from vast amounts of data. With VMware Cloud Foundation and NVIDIA NGC organizations will be able to extend VMware’s proven cloud platform for AI while accessing NVIDIA’s vast portfolio of cloud-native, GPU-optimized containers, models and industry-specific software development kits. The result is an AI-ready platform that runs all enterprise apps – VMs, containers, Kubernetes and AI – and a single set of operations, tools and processes for all apps – significantly expanding the reach of AI while simplifying operations. Even more, organizations can deploy this solution in the datacenter, cloud and edge, to support data gravity requirements, processing the data where it resides, for added speed and efficiency.

New Hybrid Cloud Architecture for Next Gen Apps

As part of VMware’s Project Monterey, VMware Cloud Foundation and NVIDIA BlueField-2 data processing unit (DPU) are helping to create a new architecture for the data center, cloud and edge, purpose built for the needs of next-generation apps. AI, ML, high-throughput and data-centric apps are placing incredible demands on the traditional data center architecture. By offloading hypervisor, networking, security and storage tasks from the CPU to the SmartNIC or DPU, this new architecture promises to deliver breakthrough performance, operations and zero-trust security for next-generation apps across the datacenter, edge and telco clouds.

By enabling access to the NVIDIA graphics drivers that ship with every PC and workstation, a VMware virtual machine with GRID now delivers the same user experience as expected from a local machine. Cloud-based, PC, and workstation-class graphics without the need to be tethered to a workstation. Build and Test for any platform with VMware Workstation. VMware Workstation Pro is the industry standard for running multiple operating systems as virtual machines (VMs) on a single Linux or Windows PC. IT professionals, developers and businesses who build, test or demo software for any device, platform or cloud rely on Workstation Pro. Nvidia graphics card working on VMware workstation 10 Hi everybody, I am using vmware workstation 10 to have a virtual machine for the games; but i checked that when I am running a game on the virtual machine I have problem with graphic, because the virtual machine is not using physically the graphic card. Hello i just downloaded VMware Player and i maked a Windows XP virtual machine, and i could not install the nvidia video driver on the virtual. VMware Workstation. Nvidia Display Driver auto installer and version checker Checks for new Nvidia Geforce Display Drivers then does an automated unattended install, or with many more options. You can silent install, and only just install the basics, no bloat! Instantly check to see if you have latest driver offering. I just installed VMware workstation pro with windows 10 and it isnt detecting my GPU. I have an Nvidia GeForce GTX 1050 Ti with 4GB vRAM. No nvidia control panel is on the system and when i try to install nvidia geforce experience or manually install the drivers for the GPU it tells me it doesnt detect an nvidia GPU on my system.

This is part 3 of a series of blog articles on the subject of using GPUs with VMware vSphere.

Part 1 of this series presents an overview of the various options for using GPUs on vSphere

Part 2 describes the DirectPath I/O (Passthrough) mechanism for GPUs

Part 3 gives details on setting up the NVIDIA Virtual GPU (vGPU) technology for GPUs on vSphere

Part 4 explores the setup for the Bitfusion Flexdirect method of using GPUs

In this article, we describe the NVIDIA vGPU (formerly “Grid”) method for using GPU devices on vSphere. The focus in this blog is on the use of GPUs for compute workloads (such as for machine learning, deep learning and high performance computing applications) and we are not looking at GPU usage for virtual desktop infrastructure (VDI) here.

The method of GPU usage on vSphere described here makes use of the products within the NVIDIA vGPU family. This vGPU family includes the “NVIDIA Virtual ComputeServer”, (VCS) and the “NVIDIA Quadro Virtual Datacenter Workstation” (vDWS) products for GPU access and management on vSphere, as well as other products. Here, we use the term “NVIDIA vGPU” as a synonym for the software product you choose from the vGPU family of products. NVIDIA recommends the vCS software product for machine learning and AI workloads, whereas vDWS was used for that purpose before vCS appeared on the market. These are licensed software products from NVIDIA.

Figure 1: Parts of the NVIDIA vGPU product shown in the ESXi Hypervisor and in virtual machines

Figure 1 shows the relationship of the parts of the NVIDIA vGPU product to each other in the overall vSphere and virtual machine architecture.

The NVIDIA vGPU software includes two separate components:

1. The NVIDIA Virtual GPU Manager, that is loaded as a VMware Installation Bundle (VIB) into the vSphere ESXi hypervisor itself and
2. A separate guest OS NVIDIA vGPU driver that is installed within the guest operating system of your virtual machine (the “guest VM driver”).

Using the NVIDIA vGPU technology with vSphere allows you to choose between dedicating a full GPU device to one virtual machine or to allow partial sharing of a GPU device by more than one virtual machine.

The reasons for choosing this NVIDIAvGPU option are

• we know that the applications in your VMs do not need the power of full GPU;
• there is a limited number of GPU devices and we want them to be available to more than one team of users simultaneously;
• we sometimes want to dedicate a full GPU device to one VM, but at other times allow partial use of a GPU to a VM.

The released versions of the NVIDIA vGPU Manager and guest VM drivers that you install must be compatible. For all the versions of the software, versions of vSphere and the hardware versions, consult the current NVIDIA Release Notes. At the time of this writing, the NVIDIA vGPU release notes are located here.

1.NVIDIA vGPU Setup on the vSphere Host Server

The vSphere ESXi host server-specific part of the setup process is described first here. In order to set up the NVIDIA vGPU environment you will need:

• The licensed NVIDIA vGPU product (including the VIB for vSphere and the guest OS driver)
• Administrator login access to the console of your vSphere/ESXi machine

VMware recommends that you choose vSphere version 6.7 for this work. Choosing vSphere 6.7 update 1 will allow you to use the vMotion feature along with your GPU-enabled VM’s. If you choose to use vSphere 6.5 then ensure you are on update 1 before proceeding.

Carefully review the pre-requisites and other details in the NVIDIA vGPU Software User Guide document

The host server part of the NVIDIA vGPU installation process makes use of a “vib install” technique that is used in vSphere for installing drivers into the ESXi hypervisor itself. For more information on using vSphere VIBs, you should check this material

The NVIDIA vGPU Manager is contained in the VIB package that is downloaded from NVIDIA’s website. The package can be found by searching for the NVIDIA Quadro Virtual DataCenter Workstation (or vDWS) products on the NVIDIA site.

To install the NVIDIA vGPU Manager software into the vSphere ESXi hypervisor follow the procedure below.

1.1 Set the GPU Device to vGPU Mode Using the vSphere Host Graphics Setting

A GPU card can be configured in one of two modes: vSGA (shared virtual graphics) and vGPU. The NVIDIA card should be configured with vGPU mode. This is specifically for use of the GPU in compute workloads, such as in machine learning or high performance computing applications.

Access the ESXi host server either using the ESXi shell or through SSH. You will need to enable SSH access using the ESXi management console as SSH is disabled by default.To enable vGPU mode on the ESXi host, use the command line to execute this command:

# esxcli graphics host set –-default-type SharedPassthru

You may also get to this setting through the vSphere Client by choosing your host server and using the navigation

“Configure -> Hardware -> Graphics -> Host Graphics tab -> Edit”

A server reboot is required once the setting has been changed. The settings should appear as shown in Figure 2 below.

Figure 2: Edit Host Graphics screen for a Host Server in the vSphere Client Mario kart arcade gp dx download.

1.2 Check the Host Graphics Settings

To check that the settings have taken using the command line, type

# esxcli graphics host get

This command should produce output as follows:

Take the ESXi host server out of Maintenance Mode, using this command

# esxcli system maintenanceMode set –enable false

Use two minus signs before the “enable” option above.

1.4 List the VIB that was installed in the ESXi Hypervisor

To list the VIBs installed on the ESXi host and ensure that the NVIDIA VIB was done correctly, use the command:

# esxcli software vib list grep –i NVIDIA