Scan code: LN89207 Manufacturer code: TCSV100M-32GB-PB

NVIDIA TESLA Volta V100 32GB PCIe GPU Accelerator Card

32GB PNY NVIDIA Tesla V100, PCIe 3.0 (x16), Volta V100, 5120 CUDA + 640 Tensor Cores, ECC HBM2, 14 TF SP, 7 TF DP

Thumbnail 1 : NVIDIA TESLA Volta V100 32GB PCIe GPU Accelerator Card Thumbnail 2 : NVIDIA TESLA Volta V100 32GB PCIe GPU Accelerator Card Thumbnail 3 : NVIDIA TESLA Volta V100 32GB PCIe GPU Accelerator Card Thumbnail 4 : NVIDIA TESLA Volta V100 32GB PCIe GPU Accelerator Card NVIDIA TESLA Volta V100 32GB PCIe GPU Accelerator Card : video thumbnail 1 NVIDIA TESLA Volta V100 32GB PCIe GPU Accelerator Card : video thumbnail 2 NVIDIA TESLA Volta V100 32GB PCIe GPU Accelerator Card : video thumbnail 3
Scan code: LN89207 Manufacturer code: TCSV100M-32GB-PB
£9,000.49Item currently awaiting an ETA
Pre order
With a 10% deposit from just £224.79 / month (APR 15.9%)
Delivery Options
  • By DPD to your specified address. | £11.50 Receive SMS with one-hour delivery window Weekend, timed and European delivery options are available at checkout

    Have your parcel delivered by DPD to your specified address. Receive SMS with one-hour delivery window

    Weekend, timed and European delivery options are available at checkout
  • Collect instore Collect from our Bolton store, BL6 6PE | Free

    Order online, collect from our Bolton store (25-28 Enterprise Park, Middlebrook, Horwich, Bolton, BL6 6PE)

  • 48HR REPLACEMENT If you need to return this item, your replacement will be dispatched within 2 working days of your product arriving back at Scan. More info
Product Overview The Most Advanced Data Center GPU Ever Built - Now with 32GB of HBM2 Memory for Even The Largest Workloads
NVIDIA® Tesla® V100 is the world’s most advanced data center GPU ever built to accelerate AI, HPC, and graphics. Powered by NVIDIA Volta™, the latest GPU architecture, Tesla V100 offers the performance of up to 100 CPUs in a single GPU—enabling data scientists, researchers, and engineers to tackle challenges that were once thought impossible.

Tesla V100 is the flagship product of Tesla data center computing platform for deep learning, HPC, and graphics. The Tesla platform accelerates over 450 HPC applications and every major deep learning framework. It is available everywhere from desktops to servers to cloud services, delivering both dramatic performance gains and cost savings opportunities.

NVIDIA VOLTA: The New GPU Architecture, Designed to Bring AI to Every Industry

The Core of AI
AI is not defined by any one industry. It exists in fields of supercomputing, healthcare, financial services, big data analytics, and gaming. It is the future of every industry and market because every enterprise needs intelligence, and the engine of AI is the NVIDIA GPU computing platform.

NVIDIA Volta™ is the new driving force behind artificial intelligence. Volta will fuel breakthroughs in every industry. Humanity’s moonshots like eradicating cancer, intelligent customer experiences, and self-driving vehicles are within reach of this next era of AI.

Ground-Breaking Innovations

640 Tensor Cores: An Exponential Leap in Performance
Every industry needs AI, and with this massive leap forward in speed, AI can now be applied to every industry. Equipped with 640 Tensor Cores, Volta delivers over 100 Teraflops per second (TFLOPS) of deep learning performance, over a 5X increase compared to prior generation NVIDIA Pascal™ architecture.

New GPU Architecture: Engineered for the Modern Computer
Humanity’s greatest challenges will require the most powerful computing engine for both computational and data science. With over 21 billion transistors, Volta is the most powerful GPU architecture the world has ever seen. It pairs NVIDIA® CUDA® and Tensor Cores to deliver the performance of an AI supercomputer in a GPU.

Volta-Optimized Software: GPU-Accelerated Frameworks and Applications
Data scientists are often forced to make trade-offs between model accuracy and longer run-times. With Volta-optimized CUDA and NVIDIA Deep Learning SDK libraries like cuDNN, NCCL, and TensorRT, the industry’s top frameworks and applications can easily tap into the power of Volta. This propels data scientists and researchers towards discoveries faster than before.

Supports Every Deep Learning Framework:
• Caffe2
• Microsoft Cognitive Toolkit
• Mxnet
• Pytorch
• TensorFlow
• Theano

Supports 450+ GPU-Accelerated Applications Including:
• ANSYS Fluent
• OpenFOAM
• Simulia Abaqus
• WRF Features Volta Architecture
By pairing CUDA Cores and Tensor Cores within a unified architecture, a single server with Tesla V100 GPUs can replace hundreds of commodity CPU servers for traditional HPC and Deep Learning.

Tensor Core
Equipped with 640 Tensor Cores, Tesla V100 delivers 120 TeraFLOPS of deep learning performance. That’s 12X Tensor FLOPS for DL Training, and 6X Tensor FLOPS for DL Inference when compared to NVIDIA Pascal™ GPUs.

Maximum Efficiency Mode
The new maximum efficiency mode allows data centers to achieve up to 40% higher compute capacity per rack within the existing power budget. In this mode, Tesla V100 runs at peak processing efficiency, providing up to 80% of the performance at half the power consumption.

With a combination of improved raw bandwidth of 900 GB/s and higher DRAM utilization efficiency at 95%, Tesla V100 delivers 1.5X higher memory bandwidth over Pascal GPUs as measured on STREAM.

Tesla V100 is architected from the ground up to simplify programmability. Its new independent thread scheduling enables finer-grain synchronization and improves GPU utilization by sharing resources among small jobs.
Key Specifications
Graphics Chipset NVIDIA Tesla V100
Edition PCIe
Manufacturing process 12 nm
Microarchitecture Volta
GPU Name 1x GV100
Cores & Clocks
NVIDIA CUDA Cores 5120
Core Clock  
Boost Clock 1370 MHz
Video Memory (VRAM)
Memory Size 32 GB
Memory Type HBM2
Memory Clock 1750 MHz
Memory Bit Rate 4096 Bit
Memory Bandwidth 900 GB/s
ECC Technology Yes
Cooling Passive
I/O & Connectivity
Interface PCIe 3.0 (x16)
Interface Bandwidth 32 GB/s
Graphics Output  
Multi GPU Support Supported
NVLink Support Upto 2x Quadro GV100 GPUs via NVLink
Total NVLink Bandwidth N/A
Microsoft DirectX Support  
HDCP Ready No
Multi Monitor Support  
Concurent Users N/A
H.264 1080p30 Streams N/A
Maximum Digital Resolution N/A
Maximum VGA Resolution N/A
Supported Graphics APIs  
Compute Performance
Supported Compute APIs
  • CUDA
  • DirectCompute
  • OpenACC
  • OpenCL
Single Precision (FP32) Processing Yes
Single Precision (FP32) Performance 14 teraFLOPS
Double Precision (FP64) Processing Yes
Double Precision (FP64) Performance 7 teraFLOPS
Tensor Processing Yes
Deep Learning (Tensor) Performance 112 teraFLOPS
NVIDIA Tensor Cores 640
Integer Operations (INT8)  
Rays Cast  
Power & Thermals
Graphics Card Power Connectors 1 x 8-pin PCIe
Board Power 250 W
Minimum Recommended PSU  
Maximum GPU Temperature  
Form Factor Dual Slot
Low Profile Compatible No
Low Profile Support N/A
Dimensions 267. 7 x 111.15 mm
Package Type Retail
Additional Information
Scan Code LN89207
Model Number TCSV100M-32GB-PB
GTIN 3536403363710

Please note your statutory rights are not affected.

For further information regarding Scan's warranty procedure please see our terms and conditions

36 months
DOA Period:
7 days
Manufacturer Contact Details
TekSpek Guides
Tesla vs GeForce
Tesla vs GeForce
Date Issued: 2nd Dec 2010

NVIDIA® CUDA parallel computing architecture is enabled on GeForce, Quadro, and Tesla products. Whereas GeForce and Quadro are designed for consumer graphics and professional visualization respectively, the NVIDIA® Tesla™ product family is designed ground-up for parallel computing and offers exclusive computing features.

Read More

Graphics Card Outputs
Graphics Card Outputs
Date Issued: 8th Oct 2010

Modern desktop computers and notebooks comprise of a CPU, motherboard, graphics, storage, and, usually an optical drive. Computers have a number of ports and sockets that enable the user to plug-in various peripherals such as a printer, USB mouse, or, perhaps most importantly of all, an Internet connection.

Read More

CUDA Technology
CUDA Technology
Date Issued: 22nd Oct 2008

CUDA technology is the world’s only C language environment that enables programmers and developers to write software to solve complex computational problems in a fraction of the time by tapping into the many-core parallel processing power of GPUs.

Read More

Date Issued: 20th Oct 2008

This TekSpek explains why you’d want to overclock your graphics board, the risks in doing so and how you can go about doing it.

Read More

GPU Antialiasing
GPU Antialiasing
Date Issued: 20th Oct 2008

This TekSpek will assume you know the affects of applying a level of anti-aliasing (AA) on your 3D accelerator, be it via the driver control panel or via a control in your game. We assume you know the effect it has on image quality, so you can think about a before and after scenario. So this TekSpek isn’t about explaining what it does as such, although it will, it’s about explaining the how and why.

Read More

Date Issued: 20th Oct 2008

Explaining how a modern GPU works in completeness would take a book. Or two. Per class of chip. Per vendor. They’re extraordinarily complex pieces of engineering and production, and the end result contains more transistors than multiple modern x86 processors.

Read More

DirectX 10
DirectX 10
Date Issued: 25th Jun 2008

This TekSpek explains DirectX 10, which graphics cards support it, how they work and what the consumer’s choices are.

Read More

Date Issued: 14th Jun 2008

We’ve all been victims of static electricity at some point. Perhaps somebody’s used a balloon to make your hair stand on end, or you’ve walked across the office and been ‘shocked’ by a metal door knob? That’s electrostatic discharge at work.

Read More

Questions & Answers
NVIDIA TESLA Volta V100 32GB PCIe GPU Accelerator Card
NVIDIA TESLA Volta V100 32GB PCIe GPU Accelerator Card