2U - Quad node - Tri node - 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.

1U 2U 3U 4U 5U-10U

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.

With our rack servers, you can ensure your operations run smoothly and efficiently, meeting the demands of today while preparing for the challenges of tomorrow. Explore our selection and find the perfect solution to drive your enterprise forward.

2U is two rack unit size devices, that are 19" wide in standard rack enclosures.
Tri-node configurations provide an extra layer of resilience compared to dual-node setups, making them ideal for applications requiring high availability and fault tolerance. Commonly utilized in large data centers and financial institutions, these servers offer benefits like enhanced load distribution and simplified scalability, ensuring seamless operation and efficient resource utilization.
Quad-node server configurations offer four independent nodes within a single chassis, providing an optimal blend of density and performance for compute-intensive workloads. Often deployed in HPC environments, cloud infrastructure, and big data analytics, these setups maximize operational efficiency by reducing rack space and power consumption, while still offering the scalability and reliability required for demanding applications.