4th/5th Generation Intel Xeon Scalable series - AMD EPYC 7000 series - Multinode servers
Twin servers combine maximum performance with efficient design for a revolution in datacenter Green Computing.
These high-density micronode systems support critical applications while reducing Data Center TCO. Due to their shared components, Twin servers improve cost-effectiveness and reliability, while their modular architecture makes it flexible to configure and easy to maintain. Help preserve the environment while extending computing and storage capabilities from previous models to achieve increased performance and power efficiency.
For rack-based solutions, consider our rack mount servers to further enhance your datacenter efficiency and performance.
The 4th & 5th Gen Intel Xeon Scalable processors are engineered for advanced analytics, AI workloads, and mission-critical enterprise applications. Providing a robust suite of platform capabilities, including built-in AI acceleration, enhanced security features, and optimal energy efficiency, these processors are an ideal choice for data centers looking to modernize infrastructure and gain a competitive edge.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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BigTwin SuperServer SYS-621BT-HNC8R - 4 nodes
Hyperconverged Infrastructure
Scale-Out File Storage
Container Storage15 292.24 € -
BigTwin SuperServer SYS-621BT-HNTR - 4 nodes
Scale-Out File Storage
Container Storage
Hyperconverged Infrastructure14 552.69 € -
GrandTwin SYS-211GT-HNC8F - 4 nodes
Multi-Purpose CDN
HPC
Cloud Gaming
High-availability Cache Cluster
MEC (Multi-Access Edge Computing)
Telco Edge Cloud
EDA (Electric Design Automation)
Mission Critical Web Applications10 865.00 € -
FatTwin SuperServer SYS-F521E3-RTB
Hyperscale / Hyperconverged
HPC and Big Data
Data Center Enterprise Applications
Telco Data Center11 834.11 € -
FatTwin A+ Server AS-F2014S-RNTR - 4 nodes
Hyperscale / Hyperconverged
HPC and Big Data
Scale Out Storage
Data Center Enterprise Applications
Telco Data Center
Virtualization Server9 949.63 € -
FatTwin A+ Server AS-F1114S-RNTR - 8 nodes
Hyperscale / Hyperconverged
HPC and Big Data
Scale Out Storage
Data Center Enterprise Applications
Telco Data Center
Virtualization Server16 576.13 € -
FatTwin A+ Server AS-F1114S-FT - 8 nodes
Hyperscale / Hyperconverged Solutions
Cloud Computing
Cluster Node
Data Center
HPC cluster computer nodes17 068.82 € -
BigTwin A+ Server AS-2124BT-HNTR - 4 nodes
Compute Intensive Applications
HPC, Data Center
Enterprise Server
Hyperscale / Hyperconverged10 262.59 € -
BigTwin A+ Server AS-2124BT-HTR - 4 nodes
Compute Intensive Applications
HPC, Data Center
Enterprise Server
Hyperscale / Hyperconverged10 017.87 € -
Twin A+ Server AS-2014TP-HTR - 4 nodes
Compute Intensive Applications
HPC, Data Center
Enterprise Server
Hyperscale / Hyperconverged6 506.33 €
Multinode Servers
A multinode server is a computer server that is designed with two or more independent server nodes that share a single enclosure and one or more power supplies. In a multi-node server, power is distributed to all nodes through shared power supplies. Server nodes in a multi-node server are not designed to be hot-swappable. Multi-nodes offer a nice blend of rack server characteristics and blade server advantages. Multi-node systems are similar to blade servers yet offer unique advantages like AMD, 1 CPU versions, and provide a smaller fault domain. The multi-node has a greater potential of supporting a larger stack of future CPUs (with or without liquid cooling.)
For blade-based solutions, you may also explore our BLADE SERVERS to further enhance your server infrastructure and performance.