GPU servers

Configure your GPU servers with the latest NVIDIA GPU products, such as Nvidia Tesla V100 or Nvidia A100, along with GPU-Direct options.

Our GPU-accelerated servers generate massively parallel processing power and deliver unparalleled networking flexibility. They offer high-quality performance and extreme optimization for computationally-intensive applications such as Artificial Intelligence & Machine Learning, Visual/Media Editing, Financial Simulations, Astrophysics, and more.

Choose from a range of high-performance GPU servers, including rackmount GPU servers, enterprise GPU servers, NVIDIA GPU servers, AMD GPU servers, multi-GPU servers, HPC GPU servers, and AI GPU servers, to suit your specific requirements.

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  1. SuperWorkstation SYS-7049GP-TRT GPU SuperWorkstation 7049GP-TRT

    GPU Server, Mission-critical app.
    Enterprise server, large database
    On-line transaction processing
    E-business, oil & gas, medical app.

    4 312.66 €
  2. GPU SuperServer SYS-2029GP-TR GPU SuperServer 2029GP-TR

    GPU Server, Mission-critical app.
    enterprise server, large database
    oil & gas, e-business
    on-line transaction processing, medical

    4 101.00 €
  3. GPU SuperServer SYS-4029GP-TRT2 GPU SuperServer 4029GP-TRT2

    Artificial Intelligence
    Big Data Analytics
    High-performance Computing
    Research Lab/National Lab
    Business Intelligence

    7 284.92 €
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GPU Servers

Manufacturers design GPUs for fast 3-D processing, accurate floating-point arithmetic, and error-free number crunching. Although they typically operate at slower clock speeds, they have thousands of cores that enable them to execute thousands of individual threads simultaneously. GPU servers, as the name suggests, are servers packed with graphics cards, designed to harness this raw processing power. Using an offloading process, the CPU can hand specific tasks to the GPUs, increasing performance. Running computationally intensive tasks on a CPU can tie up the whole system. Offloading some of this work to a GPU is a great way to free up resources and maintain consistent performance. Interestingly, you can just send the toughest workloads to your GPU while the CPU handles the main sequential processes. Such GPU strategies are critical to delivering better services that cater to end-users, who experience accelerated performance. Many of the Big Data tasks that create business value involve performing the same operations repetitively. The wealth of cores available in GPU server hosting lets you conduct this kind of work by splitting it up between processors to crunch through voluminous data sets at a quicker rate. Also, these GPU-equipped systems use less energy to accomplish the same tasks and place lower demands on the supplies that power them. In specific use cases, a GPU can provide the same data processing ability of 400 servers with CPU only.