GPU Computing - NVIDIA GPUs for Ultimate Computing Performance

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

Cutting-edge NVIDIA H100 GPUs, also known as Hopper GPUs, have 8192 cores. For artificial intelligence operations, this GPU offers 1024 tensor cores. With this GPU, you can achieve peak performance (FP32) of 67 TFLOPS.

The peak performance for FP64 is 34 TFLOPS and the peak performance for Tensor FLOPS is 989 TFLOPS (TF32 Tensor Core). Power-hungry GPUs with 700 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.