8 GPU - AMD EPYC 7000 series - SERVERS

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The AMD EPYC 7000 series processors are designed for scalable data center and enterprise applications, excelling in tasks like virtualization, high-performance computing, and cloud-based solutions. Leveraging a significant number of cores and an architecture optimized for efficiency, these processors offer high performance, robust security features, and an attractive TCO (Total Cost of Ownership), making them a favored choice for organizations aiming to achieve operational excellence.
Servers capable of housing eight GPUs are primarily designed for mission-critical tasks that demand extraordinary computational power, such as complex financial modeling, 3D rendering, and deep learning. Having eight GPUs ensures unparalleled performance and speed, significantly reducing time-to-insight in data-intensive applications.
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  1. GPU A+ Server AS-4124GS-TNR+ GPU A+ Server AS-4124GS-TNR+

    AI / Deep Learning
    High Performance Computing
    Cloud Gaming
    Molecular Dynamics Simulation
    Nvidia A100 GPUs

    9 383.65 €
  2. GPU A+ Server AS-4124GO-NART-LC GPU A+ Server AS-4124GO-NART-LC

    Liquid cooling
    AI Compute
    Model Training
    Deep Learning
    High-performance Computing (HPC)

    154 492.59 €
  3. GPU A+ Server AS-4124GO-NART GPU A+ Server AS-4124GO-NART

    AI Compute
    Model Training
    Deep Learning
    High-performance Computing (HPC)

    151 450.92 €
  4. GPU A+ Server AS-4124GO-NART+(LC) GPU A+ Server AS-4124GO-NART+(LC)

    Liquid cooling
    AI Compute
    Model Training
    Deep Learning
    High-performance Computing (HPC)

    155 512.23 €
  5. GPU A+ Server AS-4124GO-NART+ GPU A+ Server AS-4124GO-NART+m Serversimply

    AI Compute
    Model Training
    Deep Learning
    High-performance Computing (HPC)

    152 470.56 €
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ServerSimply offers top-brand dedicated servers that are fully customizable. With highly compatible enterprise-class servers at the foundation of your IT infrastructure strategy, you can integrate with your cloud of choice, deploy and move workloads where you want — on-prem or in the cloud. You can develop an approachable, low-risk path that doesn’t disrupt existing IT infrastructure.

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