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Monitoring GPU Performance covers performance monitoring of physical GPUs and virtual GPUs from the hypervisor and from within individual guest VMs.

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Modifying a VM's NVIDIA vGPU Configuration explains how to remove a VM’s vGPU configuration and modify GPU assignments for vGPU-enabled VMs.

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Licensing an NVIDIA vGPU explains how to license NVIDIA vGPU licensed products on Windows and Linux operating systems.

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Install NVIDIA vGPU software graphics driver on Windows and

Installing the NVIDIA vGPU Software Graphics Driver explains how to.

Using GPU Pass-Through explains how to configure a GPU for.

Installing and Configuring NVIDIA Virtual GPU Manager provides a step-by-step guide to installing and configuring vGPU on.

This chapter introduces the capabilities and features of NVIDIA vGPU software.

Virtual GPU Software User Guide is organized as follows: Your configuration supports NVIDIA GPU Operator with NVIDIA vGPUĭeployments, consult the release notes for your chosen hypervisor at NVIDIA Virtual GPU Software Documentation.įor more information, see NVIDIA GPU Operator Overview on the NVIDIA documentation portal. Software release, container platform, vGPU type, and guest OS release. NVIDIA GPU Operator is supported only on specific combinations of hypervisor NVIDIA GPU Operator supports automated configuration of NVIDIA vGPU software and provides telemetry support through DCGM Exporter running NVIDIA Licensing Portal by NVIDIA GPU Operator is not supported. NVIDIA Licensing Portal to a local computer.

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NVIDIA GPU Operator uses a driver catalog published with the NVIDIA vGPU software graphics drivers to determine automatically the NVIDIA vGPU software graphics driver version that is compatible with a platform'sĪny drivers to be installed by NVIDIA GPU Operator must be downloaded from the

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It automates the installation and update of NVIDIA vGPU software graphics drivers for container platforms running in guest VMs that are configured with NVIDIA GPU Operator simplifies the deployment of NVIDIA vGPU software on software container platforms that are managed by the Kubernetes container Information about the MIG feature, see: NVIDIA Multi-Instance GPU User Guide. For more information, see Configuring a GPU for MIG-Backed vGPUs. To support GPU instances with NVIDIA vGPU, a GPU must beĬonfigured with MIG mode enabled and GPU instances must be created and configured on the NVIDIA vGPU software supports GPU instances only with NVIDIA Virtual Compute Server and Linux guest operating Hypervisor at NVIDIA Virtual GPU Software Documentation. To determine if your chosen hypervisor supports GPU instances in NVIDIA vGPU deployments, consult the release notes for your Not all hypervisors support GPU instances in NVIDIA vGPUĭeployments. The instance can be placed identically to a single-slice instance without DEC, Only one MIG-backed vGPU with DEC, JPG, and OFA support can reside

NVIDIA vGPU software supports a single-slice MIG-backed vGPU with DEC, GPU Instances Configured with NVIDIA vGPU

Users can launch applications that require NVIDIA GPU technology for enhanced userĮxperience only after displays that are driven by NVIDIA adapters are enabled.įigure 1. On NVIDIA GPUs, including Tesla GPUs, a default display device is enabled.

You can use the display settings feature of the host OS or the remoting solution for this If the system has multiple display adapters, disable display devices connected through NVIDIA Tesla generally operates as a secondary device on bare-metal platforms. Use the display settings feature of the host OS to configure the Tesla GPU as the primary To use graphics features with Tesla GPUs, you must use a supported remoting solution, forĮxample, RemoteFX, Citrix Virtual Apps and Desktops, VNC, or similar technology. License any NVIDIA vGPU software that you are using.įor instructions, see Virtual GPU Client Licensing UserĬonfigure the platform for remote access. To use NVIDIA vGPU software drivers for a bare-metal deployment, complete theseįor instructions, see Installing the NVIDIA vGPU Software Graphics Driver. Use Tesla boards without a hypervisor for this purpose, use NVIDIA vGPU software graphics drivers, not other NVIDIA drivers.

Licenses to deliver remote virtual desktops and applications. In a bare-metal deployment, you can use NVIDIA vGPU software