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
to your specified address. |
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 windowWeekend, timed and European delivery options are available at checkout
Collect from our Bolton store, BL6 6PE |
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
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.
|Graphics Chipset||Tesla M40|
|GPU Name||1x GM200|
|Cores & Clocks|
|NVIDIA CUDA Cores||3072|
|Video Memory (VRAM)|
|Memory Size||12 GB|
|Memory Bit Rate||384 Bit|
|Memory Bandwidth||288 GB/s|
|I/O & Connectivity|
|Interface||PCIe 3.0 (x16)|
|Multi GPU Support|
|Total NVLink Bandwidth||N/A|
|Microsoft DirectX Support|
|Multi Monitor Support|
|H.264 1080p30 Streams||N/A|
|Maximum Digital Resolution|
|Maximum VGA Resolution|
|Supported Graphics APIs|
|Supported Compute APIs|
|Single Precision (FP32) Processing||Yes|
|Single Precision (FP32) Performance||7.0 teraFLOPS|
|Double Precision (FP64) Processing||No|
|Double Precision (FP64) Performance|
|Deep Learning (Tensor) Performance|
|NVIDIA Tensor Cores|
|Integer Operations (INT8)|
|NVIDIA RT Cores|
|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||111.15 x 267.7 mm|
Please note your statutory rights are not affected.
For further information regarding Scan's warranty procedure please see our terms and conditions
- 36 months
- Return to base
- DOA Period:
- 28 days
- RTB Period:
- 120 months
- 0871 472 4747
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.
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.
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.
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.
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.
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.
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.
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.