8U - 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, as well as BLADE SERVERS, to suit your specific requirements.

8U is eight rack unit high devices, that are 19" wide in standard rack enclosures. Usually need 4 point installations. It means Rack cabinet must have rear rails to support the weight of the servers. Often Blade, Superblade, Microblade systems or most powerful Multi-processor servers and GPU servers.
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  1. GPU SuperServer SYS-821GE-TNHR GPU SuperServer SYS-821GE-TNHR

    Conversational AI
    Industrial Automation, Retail
    AI/Deep Learning Training
    High Performance Computing
    Drug Discovery
    Finance & Economics
    Business Intelligence & Analytics
    Climate and Weather Modeling

    292 555.20 €
  2. GPU A+ Server AS-8125GS-TNHR GPU A+ Server AS-8125GS-TNHR

    High-performance Computing
    AI / Deep Learning Training
    Nvidia H100 GPUs
    NVIDIA® NVLink™ with NVSwitch™

    299 035.25 €
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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. For specialized tasks and requirements, consider exploring our TOWER SERVERS to further tailor your server infrastructure.