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GPU Computing - NVIDIA 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.

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Here you'll find GPU Computing

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  • Up to 6 years warranty
  • Individual configuration
  • Used Rack Servers
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  • 2U Rackmount Server, up to 60 Cores
  • Single Socket E, 4th Gen Intel Xeon Scalable CPU
  • 16x DIMM slots, up to 4TB RAM DDR5-4800MHz
  • 12x 3.5/2.5 Inch hot-swap drive bays
  • 1x 1GbE RJ45 LAN port
  • 3x PCI-E 5.0 x16 Expansion slots, 2x OCP 3.0
  • 2x 2400W redundant power supplies (Platinum Level)
From €3,769.00 *
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Happyware VI-SCI25GPIP-BNN | Intel Core i7 Fanless GPU PC Happyware VI-SCI25GPIP-BNN Fanless GPU Workstation

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dust protected Fanless GPU Workstation

  • Fanless GPU Workstation, 16 Cores/24 Threads
  • Single Socket V (LGA-1700), Intel Core i7 13700T Processor
  • 32GB RAM
  • 3TB Storage (1TB for SSD 1, 2TB for SSD 2)
  • 2x RJ45 (1x 1G & 1x 2.5G) LAN
  • 2x HDMI, 2x Displayport, 4x USB 3.2 gen2 + 2x USB 3.0, 2x Audio
  • fanless RTX A2000
From €2,451.05 *
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  • 1U Rackmount Server, up to 280W TDP
  • Single Socket sTRX4, 3rd Gen AMD Ryzen Threadripper Processor
  • 8x DIMM-Steckplätze, up to 256GB RAM DDR4-3200MHz
  • 2x 2.5 Inch hot-swap drive bays
  • 2x 10GbE RJ45 LAN ports
  • 2x PCI-E 4.0 x16 Expansion slots for GPU cards, 1x M.2
  • 2x 1600W redundant power supplies (Platinum Level)
From €2,519.00 *
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  • Tower Workstation, up to 280W TDP
  • sWRX8 Socket, AMD Ryzen Threadripper Pro CPU, WRX80 Chipset
  • 8x DIMM slots, up to 2TB RAM DDR4-3200MHz
  • 8x 3.5 drive bays and 2x M.2
  • 7x PCI-E 4.0 slots for Multi-GPU
  • Dual Intel® 10GbE and 1GbE LAN Ports
  • 2x 2000W redundant power supplies (Platinum Level)
From €2,439.00 *
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Supermicro SYS-551A-T | Single Xeon 5U/Full Tower Workstation Supermicro SYS-551A-T 5U/FullTower GPU Workstation

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suitable for 2x RTX 4090

  • 5U/Full-Tower GPU Workstation, 350W cTDP
  • Single Socket E, Intel Xeon W-3400 Processors
  • 16x DIMM slots, up to 2TB RAM DDR5-4800MHz
  • 4x 3.5 Inch fixed drive bays
  • 1x 10GbE RJ45 and 1x 1GbE RJ45 LAN ports
  • 2x Quad-Width GPUs, 6x PCI-E 5.0 x16 slots
  • 1x 2000W Power Supply (Platinum Level)
From €1,909.00 *
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  • 2U Rackmount Server, up to 225W cTDP
  • Dual Socket E, 5th/4th Gen Intel Xeon Scalable CPU
  • 16x DIMM slots, up to 4TB RAM DDR5-5600MHz
  • 8x 2.5 Inch hot-swap drive bays
  • 2x 10GbE RJ45 LAN ports
  • 10x PCI-E Gen5 Expansion Slots (8x FHFL GPUs & 2x LP)
  • 2x 3000W redundant power supplies (Titanium Level)
From €7,829.00 *
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Details
  • 4U Rack/Full-Tower Server, up to 270W CPU TDP
  • Dual socket P+, Intel Xeon Scalable Processors 3rd Gen.
  • 16x DIMM slots, up to 6TB RAM DDR4 3200MHz
  • 8x 3.5 Inch hot-swap Drive bays (4x 2.5 NVMe dedicated)
  • 6x PCI-E Gen 4.0 x16 (4 FHFL & 2 LP) and 1x PCI-E 4.0 x8 LP
  • 4x Removable Heavy duty Fans with optimal speed control
  • 2x 2000W Redundant Power supplies Titanium level
From €3,854.00 *
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  • 4U Rackmount Server, up to 350W cTDP
  • Dual Socket E, 5th/4th Gen Intel Xeon Scalable Processors
  • 32x DIMM slots, up to 8TB RAM DDR5-5600MHz
  • 12x 3.5/2.5 Inch hot-swap drive bays
  • 2x 10GbE RJ45 LAN ports
  • 8x PCI-E Gen5 Expansion slots (8x FHFL GPUs)
  • 4x 3000W redundant power supplies (Titanium Level)
From €15,279.00 *
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Gigabyte G482-Z54 | Dual EPYC 4U High-performance GPU Server Gigabyte G482-Z54 4U Server 2x AMD EPYC 7003 CPU

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Supports GPUs, FPGAs and ASICs

  • 4U Rackmount Server, up to 280W cTDP
  • Dual Socket SP3, AMD EPYC™ 7003 processors
  • 32x DIMM slots, up to 8TB RAM DDR4-3200MHz
  • 10x 2.5 hot-swap drive bays
  • 8x PCI-E 4.0 x16 slots for GPU and 1x FHFL
  • 2x 1GbE RJ45 LAN ports
  • 3x 2200W redundant power supplies (Platinum Level)
From €7,969.00 *
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Supermicro SYS-220HE-FTNRD | Dual Xeon 2U Rack Server Supermicro SYS-220HE-FTNRD 2U Rack Dual Intel Xeon

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High-Performance IoT SuperServer

48V DC Power Input

 

  • 2U Rackmount Server, up to 40 Cores 270W TDP
  • Dual Socket P+ Intel® Xeon Scalable Processors 3rd Gen.
  • Up to 12TB RAM, 3200MHz ECC DDR4
  • 6x 2.5 hot-swap Drive bays
  • 4 PCI-E 4.0 x16 slots (optional)
  • 6x Heavy duty Hot-swap fans with optimal speed control
  • 1300W Redundant DC Power Supplies
From €3,109.00 *
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Gigabyte G492-Z51 | Dual EPYC 4U High-performance GPU Server Gigabyte G492-Z51 4U Server 10xGPGPU Broadcom Sol.

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Up to 10x GPUs

  • 4U Rackmount Server, up to 280W cTDP
  • Dual Socket SP3, AMD EPYC 7003 Series Processors
  • 32x DIMM slots, up to 8TB RAM DDR4-3200MHz
  • 12x 3.5 hot-swap drive bays (8x NVMe & 4x SATA/SAS)
  • 13x PCI-E 4.0 x16 (10x FHFL for GPUs, 3x LP/HL) Expansion slots
  • 2x 10Gb/s Base-T LAN ports via Intel® X550-AT2
  • 3x 2200W redundant Power supplies (Platinum Level)
From €8,379.00 *
very few qty in stock
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  • Mid-Tower Workstation, up to 235W cTDP
  • Single Socket V, 14th Gen Intel Core-i Processors
  • 4x DIMM slots, up to 128GB RAM DDR5-4400MHz
  • 6x 3.5 fixed SATA Drive bays
  • 2x PCIe 5.0 x8 + 2x PCIe 3.0 x1 Expansion slots
  • 1x 1GbE + 1x 10GbE RJ45 LAN ports
  • 1x 750W Single Power Supply (Gold Level)
From €859.00 *
very few qty in stock
Details
  • 2U Rackmount Server, up to 240W cTDP
  • Dual Socket SP3, AMD EPYC 7003 Series Processors
  • 16x DIMM slots, up to 4TB RAM DDR4-3200MHz
  • 8x 2.5 hot-swap drive bays
  • 8x PCI-E 4.0 x16 for GPUs and 2x PCI-E HHHL slots
  • 2x 1G LAN ports via Intel I350-AM2
  • 2x 2200W redundant power supplies (Platinum Level)
From €4,969.00 *
very few qty in stock
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  • 4U Rackmount Server, up to 300W cTDP
  • Dual Socket SP5, AMD EPYC 9004 Series CPU
  • 48x DIMM slots, up to 12TB RAM DDR5-4800MHz
  • 12x 2.5 Inch hot-swap drive bays
  • 2x 1GbE RJ45 LAN ports
  • 12x PCI-E Gen5 Expansion slots (10x FHFL GPUs, 2x LP)
  • 4x 3000W redundant power supplies (Titanium Level)
From €13,229.00 *
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Gigabyte R282-Z93 | Dual EPYC 2U High-performance GPU Server R282-Z93 Server

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Supports up to 3x double slot GPU cards, NVIDIA Certified

  • 2U Rackmount Server, 64-Cores and up to 225W TDP
  • Dual Socket SP3, AMD EPYC 7003 Series processor
  • 32x DIMM slots, up to 8TB RAM DDR4-3200MHz
  • 12x 3.5 SAS/SATA hot-swap drive bays
  • 5x PCI-E 4.0 x16 slots and 2x OCP Mezzanine
  • 3x double slot GPU cards, NVIDIA Ready Server
  • 2x 2000W redundant power supplies (Platinum Level)
From €3,379.00 *
very few qty in stock
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GPU Computing with NVIDIA GPUs – What Can Modern GPUs Do?

The top models of the NVIDIA H100 series, also known as Hopper GPUs, are among the most powerful graphics cards on the market. They are specifically designed for compute-intensive tasks such as large language models (LLMs) and enterprise AI training.

With up to 16,896 CUDA cores and 1,024 Tensor Cores, the NVIDIA H100 delivers impressive computing power:

  • FP32 peak performance: up to 67 TFLOPS
  • FP64 peak performance: up to 34 TFLOPS
  • Tensor peak performance (TF32): up to 989
  • TFLOPS training performance (FP16 Tensor): up to 3,958 TFLOPS

This makes the H100 ideal for models with more than 175 billion parameters – such as those used in AI research or generative AI.

With a power consumption of up to 700 watts, H100 GPUs are among the most energy-intensive models. For reliable operation, purpose-built servers and cooling solutions tailored to GPU performance are strongly recommended.

Use Cases for GPU Computing

As described above, the top-tier GPU model contains various computing units. This allows GPU computing servers to be used in the following areas:

  • High-Performance Computing: For complex scientific and engineering simulations that require massive parallel processing of large datasets.
  • High-Frequency Trading: In the financial sector, particularly in algorithmic trading, where split-second decisions can determine profit. GPUs are used to analyze vast amounts of real-time market data, calculate advanced predictive models, and execute trades with ultra-low latency to gain a competitive edge.
  • GPU Rendering: For 3D artists, architects, and animation studios creating photorealistic images and animations. GPUs cut render times from hours to minutes and enable real-time visualizations.
  • Video Transcoding: In professional video editing and format conversion (transcoding), GPU computing enables smooth handling of high-resolution material (4K/8K) and significantly faster export times.
  • Deep Learning: The massively parallel architecture of GPUs is optimized for the matrix and tensor operations that underpin deep learning algorithms. This dramatically accelerates both training and inference processes for AI models.

Frequently Asked Questions about GPU Computing

What is GPU Computing?

GPU computing (also known as GPGPU – General Purpose Computation on Graphics Processing Units) refers to the use of a GPU’s massively parallel architecture to accelerate general-purpose computational tasks. Instead of processing tasks sequentially, a GPU can perform thousands of calculations simultaneously, making it ideal for data-intensive applications.

Why is GPU computing critical for AI and deep learning?

Training AI models—especially in deep learning—requires extremely compute-heavy matrix and tensor operations. The architecture of a GPU is designed specifically for these types of parallel mathematical operations. Specialized units further accelerate these tasks, reducing the training time for complex neural networks from months to days. Without GPU computing, modern AI development would be virtually impossible.

Do I need specialized solutions for professional GPU computing?

Yes. While consumer graphics cards already offer high performance, professional applications often require purpose-built GPU solutions. GPU systems from HAPPYWARE are designed for continuous operation and offer key advantages:

  • Specialized GPUs: Deployment of NVIDIA GPUs such as the H100, optimized for compute workloads and equipped with features like increased VRAM and Tensor Cores.
  • Power & Cooling: High-end GPUs have a high power draw (up to 700 watts). Our servers and workstations ensure stable power supply and adequate cooling to maintain consistent performance without throttling.
  • Scalability: Our GPU servers and clusters support up to 16 or more GPUs in a single system for maximum computational performance.

GPU Computing Systems from HAPPYWARE

We are happy to provide tailored GPU computing solutions to meet your specific needs. Here’s an overview of our offerings:

  • GPU Servers: Leverage dedicated computing power with custom-configured GPU servers to supercharge your graphics and compute applications.
  • GPU Clusters: With our expert support, design powerful GPU clusters that execute GPU computing tasks efficiently across distributed systems.
  • GPU Workstations: Massive computing power in a compact form – a custom-built GPU workstation is a flexible and powerful solution for local GPU computing.

HAPPYWARE offers GPU workstations and GPU servers based on platforms from Supermicro, ASUS, Tyan, and GIGABYTE – configurable with up to 16 NVIDIA GPUs. We also provide rack systems ranging from 1U with 4 GPUs to 10U supporting 16 GPUs. Using single-width GPUs, we can even build GPU computing systems with up to 20 cards.

High-End GPU Workstations – Powerful, Scalable, and Versatile

For demanding computational tasks, high-end GPU workstations are available in tower configurations with up to four GPUs. These systems are ideal for AI, deep learning, simulation, and high-performance rendering applications.

Networking options can be flexibly tailored to your infrastructure – from Gigabit Ethernet to FDR InfiniBand, offering bandwidths from 1 Gbit/s to 10 Gbit/s, depending on your application and performance requirements.

GPU Computing – Compute Power for Matrix Operations

Anyone working with GPU computing or graphics programming knows: many calculations are based on matrix operations. This is where GPUs shine – performing such operations in massively parallel fashion directly within the server.

In traditional graphics processing, each pixel or pixel region is assigned a compute core – the higher the resolution, the more shader or compute units are needed. This architecture, designed for graphics output, can be adapted with special software for general-purpose calculations – such as scientific simulations or AI workloads. In this context, we speak of GPGPU (General-Purpose Graphics Processing Unit).

GPU Computing Solutions from HAPPYWARE – Expert Advice and Implementation

Would you like to learn more about GPU computing or explore our custom solutions? Then feel free to contact our GPU computing specialist, Jürgen Kabelitz. He’ll be happy to assist you with tailored advice and expert support.