FatTwin - NVMe optional - Rackmount servers

Discover our extensive selection of rack servers, ranging from 1U up to 10U, each designed to deliver the highest levels of performance, flexibility, scalability, and serviceability in datacenters. Our rackmount servers are engineered to handle a variety of workloads and applications, making them the backbone of modern enterprise and data center operations.

Key Advantages:

• Versatile Performance: From 1U to 10U configurations, our servers are built to provide powerful and efficient performance for everything from basic applications to intensive computing tasks.

• Flexible and Scalable: Easily configurable to meet the growing and changing demands of your business, our rack servers can scale to support increased workloads and expanded storage needs.

• Wide Application Range: Ideal for a multitude of Enterprise and Data Center applications, including Virtualization, Big Data, Analytics, and Cloud Computing, ensuring that your infrastructure is future-proof.

• Common Platform: As the most commonly used servers, rackmount units offer unlimited setup variations to perfectly align with your specific requirements.

For configurations that benefit from a more traditional setup, explore our TOWER SERVERS, which provide similar flexibility and scalability in a form factor suited for different operational environments.

FatTwin is a high-density server solution designed to optimize performance and energy efficiency for demanding enterprise and cloud computing tasks. Offering customizable configurations and hot-swappable modules usually 4U systems that have four nodes or 8 server nodes in one chassis. FatTwin is well-suited for data centers looking for scalable, cost-effective hardware that maximizes ROI while minimizing operational expenses.
Offering optional NVMe support, these servers provide an upgrade path for businesses that may require high-speed storage in the future. This ensures long-term flexibility and can significantly improve data processing speeds when the optional NVMe storage is utilized.