To be able to use Happyware DE - english in full range, we recommend activating Javascript in your browser.

Choose language or region

Happyware DE - EN Sprachshop

Worldwide delivery & support

Up to 6 years warranty

On-site repair service

GPU Computing - NVIDIA Tesla GPUs for Ultimate Computing Performance

In modern computer systems, the CPU no longer handles every processing step. With ever new developments in the field of graphics processors, modern graphics cards offer not only a multitude of cores, but above all a tremendous computing power.

GPU computing makes use of this computing power for comprehensive graphics computations, which benefit programmes for video editing, image processing, and 3D animation in particular.

Use the full computing power of your GPU – whether it’s for complex computer simulations, medical procedures, or static calculations. Experience powerful GPU computing solutions from HAPPYWARE.

GPU Server

GPU Server für wissenschaftliche Berechnungen auf Basis von Supermicro, Gigaybte und Tyan GPU Server Systemen

Hier GPU Server online konfigurieren für aktive und passive GPU Karten

GPU Server

GPU Workstations

Supermicro GPU Workstation VMware certified for active and passive GPU cards

Configure & Buy GPU Workstation for HPC applications, e.g. with NVIDIA Multi GPU technology

GPU Workstations

GPU Cluster

GPU systems in a computer network with very high supercomputer performance based on NVIDIA or AMD GPU cards.

Learn more about GPU cluster solutions with low power consumption here!

GPU Cluster

Here you'll find GPU Computing

Do you need help?

Simply call us or use our inquiry form.

Inquiry Warranty Packages

GPU Computing with NVIDIA Tesla GPUs - What modern GPUs can do for you

Cutting-edge NVIDIA Tesla V100 GPUs, also known as Volta GPUs, have 5120 cores for floating-point 32-bit operations. There are 2560 cores available for Floating-Point 64. For artificial intelligence operations, this GPU offers 640 tensor cores. With this GPU, you can achieve peak performance (FP32) of 15.7 TFLOPS.

The peak performance for FP64 is 7.8 TFLOPS and the peak performance for Tensor FLOPS is 125 TFLOPS. Power-hungry GPUs with 300 Watt power consumption require special systems that are also available from HAPPYWARE.

Applications of GPU Computing

As can be seen from the description above, the high-end system has 3 different computation units. This allows GPU to be used in the following areas:

High-Performance Computing
High-Performance Trading
GPU Rendering
Video Transcoding
Deep Learning

Particularly in Deep Learning, GPU Computing plays an important role, supporting the learning processes of artificial intelligence with its pure computing power.

GPU Computing Systems from HAPPYWARE

We are happy to provide you with the ideal GPU computing solution to meet your needs. Below is more information about our offers.

GPU Server Use the dedicated computing power of GPU servers that have been configured for you to equip graphics applications with even more computing resources in the future.
GPU Cluster With our assistance, you can plan powerful GPU clusters that can perform GPU computing tasks in the computing network with maximum efficiency.
GPU WorkstationExtreme computing power in a small space. For flexible GPU computing, an individually assembled GPU workstation is a powerful solution.

HAPPYWARE offers GPU workstations based on equipment from Supermicro, ASUS, and Gigabyte, as well as GPU servers with up to 16 NVIDIA Tesla GPUs. Additionally, we offer rack-based systems from 1U with 4 GPUs up to 10U with 16 GPUs. For GPUS that only has one card slot width, we offer a GPU computing system with up to 20 cards.

For high-end GPU workstation solutions, we have tower systems available with up to 4 GPUs. We can provide a network connection for Ethernet and FDR Infiniband with bandwidths from 1Gbs up to 10Gbs.

Technical details of GPU Computing

Anyone who has ever dealt with the basics of programming computer graphics knows that matrix operations form the basis. A graphics processor performs these matrix operations on a hardware level. With specific resolution, a GPU card allocates a graphics processor for a small area of pixels.

The more resolution you want to compute, the more GPUs you need to have on the card. With special software, you can use the power of these GPU cards for computations in a program. Actually, GPU is only a part of the full term:

General Purpose Graphic Processor Unit = GPGPU

GPU Computing Solutions from HAPPYWARE - Professional Consulting and Implementation

If you would like to know more about GPU Computing or you are interested in our tailor-made solutions, please contact our GPU Computing specialist Jürgen Kabelitz or contact us for expert advice.