PNY Tesla M40 NVIDIA Deep Learning Accelerator Server Module

12GB PNY Tesla M40 Passive Server Learning Accelerator Module, PCIe 3.0 (x16), Maxwell, GM200, 3072 Cores, 7.0 TFLOPS SP

PNY
Scan code: LN69473 Manufacturer code: TCSM40M-PB Request call
£4,991.48Item currently awaiting an ETA
Pre order
Buy Now, Pay Later with a 10% deposit. Or spread the cost of your finance over 24-48 months.
3xs Approved High End
Delivery options £11.50 By DPD DPD Delivered to your specified address. Receive SMS with one-hour delivery window. Free Collect Instore Q-Collect Place your order online and collect from our Bolton store with Q-Collect. Weekend, timed and European delivery options are available at checkout
Product Overview Tesla M40: The World's Fastest Deep Learning Training Accelerator

The Tesla M40 GPU Accelerator is purpose built for deep learning training and is the world’s fastest deep learning training accelerator for data center. Tesla M40 is based on NVIDIA Maxwell™ architecture and a Tesla M40 server outperforms CPU server by 13x.

Deep learning is redefining what’s possible. From early-stage startups to large web service providers, deep learning has become the fundamental building block in delivering amazing solutions for end users.

Today’s leading deep learning models typically take days to weeks to train, forcing data scientists to make compromises between accuracy and time to deployment. The NVIDIA Tesla M40 GPU accelerator is the world’s fastest accelerator for deep learning training, purpose-built to dramatically reduce training time.

Running Caffe and Torch on the Tesla M40 delivers the same model within days versus weeks on CPU based compute systems.

Some of the world’s largest data centers take advantage of Tesla accelerators to deliver unprecedented system throughput. The Tesla Platform supports industry-standard applications and system management tools, making it easier than ever before for IT managers to maximize uptime and system performance.

Deliver faster discoveries and scientific insights to your users by deploying GPU accelerators in your data center. With broad support for HPC developer tools like MPI, scientific libraries, and OpenACC, most applications offer performance boost with GPUs today. Features • NVIDIA Maxwell™ architecture.
• Up to 7 Teraflops of single-precision performance with NVIDIA GPU Boost™.
• 3072 NVIDIA CUDA® cores.
• 12 GB of GDDR5 memory.
• 288 GB/sec memory bandwidth.
• Qualified to deliver maximum uptime in the datacentre.
Specifications
Specifications
Graphics Chipset Tesla M40
Edition  
Microarchitecture Maxwell
GPU Name 1x GM200
NVIDIA CUDA Cores 3072
Memory Size 12 GB
Memory Bit Rate 384 Bit
Memory Bandwidth 288 GB/s
Memory Type GDDR5
ECC Technology No
Single Precision Processing Yes
Single Precision Performance 7.0 teraFLOPS
Double Precision Processing No
Double Precision Performance  
Concurent Users N/A
H.264 1080p30 Streams N/A
Cooling Passive
Graphics Interface PCIe 3.0 (x16)
Graphics Output  
Maximum Digital Resolution  
Maximum VGA Resolution  
SLi  
Multi Monitor  
HDCP Ready No
Supported Compute APIs  
Supported Graphics APIs  
Microsoft DirectX Support  
Form Factor Dual Slot
Low Profile Compatible No
Low Profile Support N/A
Board Power 250 W
Graphics Card Power Connectors 1 x 8-pin CPU
Minimum Recommended PSU  
Maximum GPU Temperature  
Dimensions 111.15 x 267.7 mm
Package Type  
Warranty

Please note your statutory rights are not affected.

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

Warranty information has not yet been updated for this product. For further information please call 0871 472 4747 or 01204 474747.

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

Overclocking
Overclocking
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

GPU
GPU
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

ESD
ESD
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

Reviews
Questions & Answers
PNY Tesla M40 NVIDIA Deep Learning Accelerator Server Module
PNY Tesla M40 NVIDIA Deep Learning Accelerator Server Module