3rd Generation Intel Xeon Scalable series - AMD EPYC 7000 series - VMware ESXi compatible - FatTwin

The Supermicro FatTwin™ is a benchmark in energy-efficient and high-density multinode server systems, leading the charge in Green Computing innovations. It extends the compute and storage capabilities of the existing Twin SuperServer systems, providing enhanced performance and power efficiency crucial for reducing Data Center Total Cost of Ownership (TCO).

Key Advantages:

  • Enhanced Energy Efficiency: Engineered for optimal power usage, the FatTwin™ supports critical applications while significantly lowering energy costs.

  • Modular and Reliable: Thanks to its shared components and modular architecture, the FatTwin™ offers unparalleled cost-effectiveness and reliability, making it easy to maintain and ideal for various environments.

  • Versatile Configurations: Tailor your FatTwin™ system for specific needs with configurations optimized for cluster computing, big data processing, and virtualization-ready setups.

  • High Availability Solutions: Choose from expandable multinode systems and high-availability FatTwin solutions, designed to support mission-critical applications in Enterprise, Data Center, Cloud Computing, HPC, Financial, Science and Engineering, and File and Storage servers.

Discover our range of BIGTWIN SERVERS as an integral part of this evolutionary step. Configure and select from a variety of FatTwin systems in this category to experience the advanced benefits of this performance-optimized multinode server system.

VMware-certified servers are rigorously tested hardware platforms optimized to run VMware's suite of virtualization and cloud computing software. These servers are widely used in data centers, enterprise environments, and hybrid cloud infrastructures to deliver benefits like enhanced scalability, resource optimization, and simplified management.
The 3rd Gen Intel Xeon Scalable processors are widely used in data centers, cloud computing environments, and high-performance computing setups, offering optimized throughput and improved latency for various workloads. With features like Intel DL Boost for AI acceleration and built-in security measures, these processors provide a balanced combination of performance, energy efficiency, and advanced capabilities for enterprise applications.
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.

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  1. FatTwin A+ Server AS-F1114S-FT - 8 nodes FatTwin A+ Server AS-F1114S-FT

    Hyperscale / Hyperconverged Solutions
    Cloud Computing
    Cluster Node
    Data Center
    HPC cluster computer nodes

    17 035.85 €
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Energy Efficiency

Supermicro FatTwin™ servers set the standard for energy-efficient computing. These servers are designed to minimize power consumption while maximizing performance, making them ideal for green data centers aiming to reduce their carbon footprint and operational costs.

High Density

FatTwin™ servers provide high-density solutions that extend the compute and storage capabilities of the existing Twin SuperServer systems. This high-density architecture is perfect for data centers looking to optimize space without compromising on performance.

Enhanced Performance

With the FatTwin™, you get enhanced performance that meets the demands of modern data centers. These servers are equipped to handle intensive workloads, ensuring your operations run smoothly and efficiently.

Cost Efficiency

The Supermicro FatTwin™ is designed to reduce Data Center Total Cost of Ownership (TCO). By offering superior energy efficiency and high performance, these servers help businesses save on both energy and operational expenses.