GPU systems - Multi Processor - SERVERS

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GPU systems are specialized hardware solutions with latest NVidia GPU's, AMD GPUs and all the rest on the market. These Integrated GPU servers are designed for accelerated computing tasks such as machine learning, data analysis, and graphics rendering. Widely used in industries like automotive design, healthcare, and scientific research, these systems offer unparalleled performance, scalability, and efficiency.
Multi-processor systems are engineered to handle high-performance computing tasks, machine learning, and data analytics by utilizing multiple CPUs to execute parallel operations efficiently. Deployed in research labs, data centers, and enterprises, these systems offer significant advantages in terms of computational speed and multitasking capabilities, thereby optimizing workload management and resource utilization.
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  1. GPU SuperServer SYS-1029GQ-TRT GPU SuperServer 1029GQ-TRT

    GPU Server, Mission-critical app.
    enterprise server, HPC
    oil & gas, financial, 3D rendering
    chemistry

    4 412.03 €
  2. GPU A+ Server AS-4125GS-TNRT1 GPU A+ Server AS-4125GS-TNRT1

    AI / Deep Learning
    High Performance Computing
    Single Root
    GPU Virtualization

    14 064.94 €
  3. GPU SuperServer SYS-120GQ-TNRT GPU SuperServer SYS-120GQ-TNRT

    Scientific Virtualization
    Rendering
    Big Data Analytics
    Business Intelligence
    High-performance Computing
    Research Lab, Astrophysics

    15 652.21 €
  4. GPU SuperServer SYS-420GU-TNXR GPU SuperServer SYS-420GU-TNXR

    High-performance Computing (HPC)
    AI / Deep Learning Training
    Nvidia A100 GPUs

    87 489.11 €
  5. GPU SuperServer SYS-1029GP-TR GPU SuperServer 1029GP-TR

    2D/3D and CAD Applications
    Astrophysics, Chemistry
    Cloud and Virtualization

    3 717.40 €
  6. GPU A+ Server AS-4125GS-TNRT2 GPU A+ Server AS-4125GS-TNRT2

    AI / Deep Learning
    High Performance Computing
    PLX Dual Root
    Metaverse
    GPU Virtualization

    20 825.04 €
  7. GPU SuperServer SYS-420GP-TNAR GPU SuperServer SYS-420GP-TNAR

    AI / Deep Learning Training
    High-performance Computing (HPC)
    Nvidia A100 GPUs

    154 961.95 €
  8. GPU A+ Server AS-2114GT-DPNR - 2 nodes GPU A+ Server AS-2114GT-DPNR - 2 nodes

    Media/Video Streaming
    AI Inference and Machine Learning
    GPU Virtualization (VDI)
    Industrial Automation, Retail, Smart Medical Expert Systems

    13 636.80 €
  9. MP SuperServer SYS-241E-TNRTTP MP SuperServer SYS-241E-TNRTTP

    Artificial Intelligence (AI)
    Business Intelligence
    Scientific Virtualization
    HCI, ERP, CRM
    In-Memory Database
    SAP HANA

    15 239.22 €
  10. GPU SuperServer SYS-420GP-TNAR+ GPU SuperServer SYS-420GP-TNAR+

    AI / Deep Learning Training
    High-performance Computing (HPC)
    Nvidia A100 GPUs

    156 085.94 €
  11. SuperServer SYS-420GH-TNGR SuperServer SYS-420GH-TNGR

    Purpose Built for AI/Deep Learning Training
    Computer Vision
    Natural Language Processing
    Recommendation

    45 120.60 €
  12. 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™

    277 858.06 €
  13. GPU A+ Server AS-2124GQ-NART+ GPU A+ Server AS-2124GQ-NART+

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

    71 480.87 €
  14. GPU SuperServer SYS-220GQ-TNAR+ GPU SuperServer SYS-220GQ-TNAR+

    High Performance Computing
    AI / Deep Learning Training

    75 122.35 €
  15. GPU SuperServer SYS-521GE-TNRT GPU SuperServer SYS-521GE-TNRT

    Design & Visualization
    Animation and Modeling
    Cloud Gaming
    Diagnostic Imaging
    3D Rendering
    AI / Deep Learning
    High Performance Computing
    Media/Video Streaming
    Dual Root

    21 366.09 €
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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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