AMD EPYC 9004 series - Intel Xeon D series - 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.

The AMD EPYC 9004 processor series offers unparalleled performance and efficiency, making it a go-to choice for data centers, enterprise applications, and complex computational workloads. With its scalable architecture and high core-count, this processor type enables faster data processing, lowers operational costs, and delivers robust security features for a wide range of use cases.
Intel Xeon D processors are optimized for dense server environments and edge computing, delivering a powerful performance in a low-power, compact footprint. These processors are particularly suited for tasks like network function virtualization, software-defined storage, and other workloads requiring high-throughput and low latency, making them a cost-effective and energy-efficient option for both data centers and edge deployments.