NVIDIA GPUs For Virtualization

Run NVIDIA Virtualization Software on NVIDIA GPUs

NVIDIA virtual GPU (vGPU) software runs on NVIDIA GPUs and is based on NVIDIA Turing^™, Volta^™, Pascal^™, and Maxwell^™ GPU architectures. Match your needs with the right GPU below.

Download Virtual GPU Linecard

COMPARE GPUs RECOMMENDED FOR VIRTUALIZATION

GPU	V100S/V100 with NVIDIA^® NVLink^™	Quadro RTX^™ 8000	Quadro RTX 6000	T4	M10	P6
GPU Architecture	Volta	Turing	Turing	Turing	Maxwell	Pascal
CUDA CORES	5,120	4,608	4,608	2,560	2,560 (640 per GPU)	2,048
MEMORY SIZE	32/16 GB HBM2	48 GB GDDR6	24 GB GDDR6	16 GB GDDR6	32 GB GDDR5 (8 GB per GPU)	16 GB GDDR5
VIRTUALIZATION WORKLOAD	Ultra-high-end rendering, simulation, and 3D design with NVIDIA Quadro^® Virtual Data Center Workstation (Quadro vDWS). AI, deep learning, and data science with NVIDIA vComputeServer. Ideal upgrade path for V100.	High-end rendering, 3D design, and creative workflows with Quadro vDWS.	Mid-range to high-end rendering, 3D design, and creative workflows with Quadro vDWS.	Entry-level to high-end 3D design and engineering workflows with Quadro vDWS. High-density, low-power GPU acceleration for knowledge workers with NVIDIA GRID software. AI, deep learning, and data science with vComputeServer.	Knowledge workers using modern productivity apps and Windows 10 requiring best density and total cost of ownership (TCO). Multi-monitor support with NVIDIA GRID vPC and vApps.	For customers requiring GPUs in a blade-server form factor. Ideal upgrade path for M6.
vGPU SOFTWARE SUPPORT	Quadro vDWS, NVIDIA GRID^® Virtual PC (GRID vPC), GRID Virtual Applications (GRID vApps), vComputeServer	Quadro vDWS, GRID vPC, GRID vApps, vComputeServer	Quadro vDWS, GRID vPC, GRID vApps, vComputeServer	Quadro vDWS, GRID vPC, GRID vApps, vComputeServer	Quadro vDWS, GRID vPC, GRID vApps	Quadro vDWS, GRID vPC, GRID vApps, vComputeServer

Performance Optimized

NVIDIA V100S

Accelerates the most demanding, double-precision compute workflows
Provides the ideal upgrade path from P100 and V100
Equips data scientists and researchers with the power to work efficiently with improved security and manageability with NVIDIA vComputeServer

Download the NVIDIA V100 Datasheet

NVIDIA Quadro RTX 8000

Includes 48 gigabytes (GB) of memory with double the frame buffer of RTX 6000
Enables designers and artists to work with the largest and most complex ray-tracing and visual computing workloads
Delivers the ultimate flexibility with Quadro vDWS software, powering virtual design workstations and render nodes to propel creative workflows

Download the NVIDIA Quadro RTX 8000 Datasheet

NVIDIA Quadro RTX 6000

Improves graphic performance up to 75 percent versus P40
Combined with Quadro vDWS software, enables artists to access high-powered virtual design workstations and render nodes to speed design workflows and arrive at their best creations faster
With RT Cores, a large frame buffer, and multiple profile sizes, gives artists and designers the flexibility to run the most demanding workloads from the data center
Enables organizations to virtualize both accelerated graphics and single-precision compute ( NVIDIA CUDA^® and OpenCL^™) workloads

Download the NVIDIA Quadro RTX 6000 Datasheet

NVIDIA T4

Delivers up to 2X the frame buffer versus P4
Delivers up to 2X the performance versus M60
With Quadro vDWS software, provides the ideal solution for entry-level to high-end 3D design and engineering workflows
Performs deep learning inferencing in a virtual environment with NVIDIA vComputeServer
With a single-slot, low-profile form factor and only 70 watts (W) of power consumption, achieves maximum GPU density per server node

Download the NVIDIA T4 Datasheet

Density Optimized

NVIDIA M10

Designed for data centers needing graphics acceleration for high-density virtual desktop environments to meet the needs of the modern digital workplace
Provides the ideal solution for organizations migrating to Windows 10—the most graphics-intensive operating system to date—or deploying additional infrastructure for disaster recovery and high availability due to business or regulatory requirements
With a dual-slot PCI Express form factor for rack and tower servers, supports up to 64 concurrent users (512 MB profile)

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Blade Optimized

NVIDIA P6

Designed for blade servers and supports multiple data center workloads, including deep learning, high-performance computing, and graphics virtualization
Delivers higher graphics performance, improved energy efficiency, and increased user density when compared to M6, making it an ideal upgrade path
Comes in a mobile PCI Express module (MXM) form factor that runs at less than 90 W for high-density data centers with blade servers and converged infrastructure

Download the NVIDIA P6 Datasheet