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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.

Here you'll find our  GPU Computing

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SYS-4029GP-TRT | Supermicro Dual Xeon 4HE Rack GPU Server SYS-4029GP-TRT2 Server

special highlight

4U GPU Server for 8 GPUs

  • 4U Rack Server, 205W TDP
  • Dual Intel Xeon Scalable CPU
  • Up to 6TB RAM, DDR4-2933MHz ECC
  • 8x GPU system for cloud computing
  • 2x RJ45 10GbE LAN ports
  • 24x Hot-swap 2.5 drive bays
  • 2000W (2+2) Redundant power supply (Titanium Level)
From €4,350.00 *
configure
SYS-4029GP-TVRT | Supermicro Dual Xeon 4U Rack GPU Server SYS-4029GP-TVRT Server

special highlight

GPU Server for

8 Tesla V100 SXM2 GPU

  • 4U Rack Server, 205W TDP
  • Dual Intel Xeon Scalable, 2nd Gen.
  • Up to 6TB RAM, DDR4-2933MHz ECC
  • Up to 8x NVIDIA V100 SXM2 GPU
  • 2x 10GbE LAN ports
  • 2200W Redundant power supplies (Titanium Level)
From €6,900.00 *
Details
SYS-4029GP-TRT2 | Supermicro Dual Xeon 4U Rack GPU Server SYS-4029GP-TRT2 Server

special highlight

4U GPU Server for 10 GPUs

  • 4U Rack Server, 205W TDP
  • Dual Intel Xeon Scalable CPU, 2nd Gen.
  • Up to 6TB RAM, DDR4-2933MHz ECC
  • 24x Hot-swap 2.5 drive bays
  • 2x RJ45 10GbE LAN ports
  • Up to 10 NVIDIA Quadro/ Tesla GPUs
  • 2000W Redundant power supplies (Titanium Level)
From €4,874.00 *
configure
SYS-1029GQ-TRT | Supermicro Dual Xeon 1U Rack GPU Server SYS-1029GQ-TRT Server

special highlight

1U GPU Server for 4 GPUs

  • 1U Rack Server, 165W TDP
  • Dual Intel Xeon Scalable CPU, 2nd Gen.
  • Up to 3TB RAM, DDR4-2933MHz ECC
  • 2x 10GbE LAN ports
  • Up to 4 GPUs
  • 2000W Redundant power supplies (Titanium Level)
From €2,674.00 *
configure
SYS-1029GQ-TVRT | Supermicro Dual Xeon 1U Rack GPU Server SYS-1029GQ-TVRT Server

special highlight

Supports up to 4 GPUs on 1U

  • 1U Rack Server, 165 W TDP
  • Dual Intel Xeon Scalable CPU, 2nd Gen.
  • Up to 3TB RAM, DDR4-2933MHz ECC
  • 2x 10GbE LAN ports
  • Up to 4 GPUs
  • 2000W Redundant power supplies (Titanium Level)
From €3,340.00 *
Details
SYS-2029GP-TR | Supermicro Dual Xeon 2U Rack GPU Server Supermicro SYS-2029GP-TR 2U Rack GPU Super-Server

special highlight

Supports up to 6 GPUs on 2U

  • 2HE Rack Server, 205W TDP
  • Dual Intel Xeon Scalable CPU, 2nd Gen.
  • Up to 4TB RAM, DDR4-2933MHz ECC
  • Up to 6 GPUs
  • 10x Hot-swap 2.5 drive bays
  • 2000W Redundant power supplies (Platinum Level)
From €2,498.00 *
configure
  • 4U Rack/Tower Server, 225W TDP
  • Dual AMD EPYC CPU, 7002 series
  • Up to 4TB RAM, DDR4-3200MHz ECC
  • 2x RJ45 10GbE LAN ports
  • 8x Hot-swap 3.5 drive bays
  • 1280W Redundant power supplies (Titanium Level)
From €1,500.00 *
Details
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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.

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