2 GPU - Single server - 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.

A single-node server offers a straightforward, easy-to-manage solution ideal for small businesses or individual departments within a larger organization. These servers are commonly used for lightweight applications, file storage, and simpler database management, providing cost-effective performance and minimal setup complexity.
Servers with the capacity for two GPUs offer a balanced combination of performance and scalability, making them ideal for medium to large enterprise applications that require advanced data analytics or complex simulations. The dual-GPU configuration provides not only redundancy but also the ability to significantly speed up parallel computing tasks, enhancing overall system efficiency.