NVIDIA Tesla GPUs For Virtualisation

Run NVIDIA Virtualisation Software on NVIDIA Tesla GPUs

NVIDIA virtual GPU (vGPU) software runs on NVIDIA® Tesla® GPUs and is based on NVIDIA VoltaNVIDIA Pascal, and NVIDIA Maxwell GPU architectures. Match your needs with the right GPU below.

HIGHEST PERFORMANCE

NVIDIA Tesla V100

NVIDIA TESLA V100

The NVIDIA Tesla V100 ultra-high-end GPU is the most advanced data center GPU ever built. Powered by NVIDIA Volta, the revolutionary Tesla V100 is ideal for accelerating the most demanding double-precision compute workflows and makes an ideal upgrade path from P100. Compress design cycles and accelerate time-to-market with up to 80 percent faster rendering performance1 versus Tesla P100.1 Enable engineers and designers to visualise their designs and perform complex simulations in real time, from any device, using the world’s most powerful virtual workstation.

NVIDIA Tesla P100

NVIDIA TESLA P100

The Tesla P100 high-end graphics accelerator is ideal for rendering, simulation, 3D design, and engineering workflows, both on premises and in the cloud. Combined with NVIDIA Quadro® Virtual Data Center Workstation (Quadro vDWS) software, P100 can power the most demanding virtual design workflows and intensive computer-aided engineering (CAE) simulations.

NVIDIA Tesla P40

NVIDIA TESLA P40

The Tesla P40 mid-range to high-end graphics accelerator delivers up to 2X the professional graphics performance2 when compared to Tesla M60. Its large frame buffer, increased number of supported profiles, and larger profile sizes ensure you can support more users, including your most demanding ones. Tesla P40 enables organisations to virtualise both accelerated graphics and single-precision compute (NVIDIA CUDA® and OpenCL) workloads for every vGPU.

NVIDIA Tesla P4

NVIDIA TESLA P4

Tesla P4 is a single-slot, 75 W GPU enabling maximum GPU/server density for entry to mid-level professional graphics users, including those accessing deep learning inference workloads and those requiring NVIDIA Pascal features. In combination with NVIDIA virtual GPU software, two P4 boards are a great upgrade path from an M60.  Added benefits include CUDA support in each Quadro vDWS profile, greater than 1 TB system memory support, and guaranteed quality of service (QoS) scheduling.

 

NVIDIA Tesla P40

NVIDIA TESLA M60

Tesla M60 is ideal for organisations deploying NVIDIA Quadro vDWS. It’s applicable across a range of entry to mid-level professional use cases, from demanding design and visualisation applications to the modern digital workplace. Tesla M60 provides flexibility to run multiple mixed profiles and is available on a wide range of industry-standard servers, hyper-converged infrastructure (HCI), and public clouds.

BEST FOR HIGH DENSITY

NVIDIA Tesla M10

NVIDIA TESLA M10

Tesla M10 is designed for data centres needing graphics acceleration for high density virtual desktop environments to meet the needs of the modern digital workplace. It is also ideal for organisations deploying additional infrastructure for disaster recovery and high availability due to business or regulatory requirements. It's a dual-slot PCI Express form factor for rack and tower servers capable of supporting up to 64 concurrent users (512 MB profile).

BEST FOR BLADE SERVERS AND CONVERGED INFRASTRUCTURE

NVIDIA Tesla P6

NVIDIA TESLA P6

Tesla P6 is designed for blade servers and supports multiple data centre workloads including deep learning, high performance computing, and graphics virtualisation for demanding workloads. It delivers higher graphics performance, improved energy efficiency, and increased user density when compared to the Tesla M6. Tesla P6 comes in an MXM form factor running at less than 90W for high-density data centres with blade servers and converged infrastructure.

NVIDIA Tesla M6

NVIDIA TESLA M6

Tesla M6 is designed specifically for data centres virtualising desktop graphics. It comes in an MXM form factor running at less than 100W for high-density data centers with blade servers and converged infrastructure.

COMPARE NVIDIA GPUs RECOMMENDED FOR VIRTUALISATION

VOLTA AND PASCAL GPUs

TESLA V100 TESLA P100 TESLA P40 TESLA P4 TESLA P6
GPU 1 NVIDIA Volta GPU 1 NVIDIA Pascal GPU 1 NVIDIA Pascal GPU 1 NVIDIA Pascal GPU 1 NVIDIA Pascal GPU
CUDA CORES 5,120 3,584 3,840 2,560 2,048
MEMORY SIZE 16 GB HBM2 16 GB HBM2 24 GB GDDR5 8 GB GDDR5 16 GB GDDR5
H.264 10080p30 STREAMS 36 36 24 24 24
USE CASES High-end professional graphics users; includes use for double-precision compute workloads (3D models and design workflows, intensive CAE simulations) Mid-range to high-end professional graphics users; includes single-precision compute workloads (rendering and creative complex designs); Entry to mid-range professional graphics users; includes deep learning inference workloads and Pascal features; 2 P4s are a suitable upgrade path from a single M60 Ideal for blade server form factors and upgrades from M6

MAXWELL GPUs

TESLA M10 TESLA M60 TESLA M6
GPU 4 NVIDIA Maxwell GPUs 2 NVIDIA Maxwell GPUs 1 NVIDIA Maxwell GPU
CUDA CORES 2,560 (640 per GPU) 4,096 (2,048 per GPU) 1,536
MEMORY SIZE 32 GB GDDR5
(8 GB per GPU)
16 GB DDR5
(8 GB per GPU)
8 GB GDDR5
H.264 10080P30 STREAMS 28 36 16
USE CASES Best density and performance for knowledge worker workloads Entry to mid-range professional graphics users; includes support for heterogeneous profiles and larger number of original equipment manufacturer(OEM) server certifications Ideal for blade server form factors

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