4U - Dual CPU - 4U Rackmount Servers

Unlock unmatched adaptability with our 4U servers, engineered to offer an extensive array of customizable features tailored to a wide spectrum of customer requirements. Whether you’re considering varying memory capacities, hard disk configurations, types of power supplies, I/O placement, or expansion options such as PCI slots and networking features, our 4U servers are designed to accommodate any setup or application.

Diverse Application Excellence:

• Data Center and Cloud Computing: Crafted for the most intensive computing environments, ensuring reliability and scalability.
• High-Performance Computing (HPC): Meet the stringent demands of computational research with our powerful 4U servers.
• Engineering and Research: Support your sophisticated projects with servers that have the power to process and analyze vast amounts of data.
• GPU Intensive Projects: Tailored for tasks that require significant graphics processing capabilities, perfect for rendering or AI-driven workloads.
• File and Storage Server: Ideal solutions for expansive storage needs, providing secure and efficient data management.

Explore our selection to find the Rackmount Server that fits your needs. When it's time to augment your server's storage or capabilities, our collection progresses to include powerful solutions such as the versatile and high-capacity 5U-10U Rackmount Servers, which bridge the gap for those seeking to upgrade their server infrastructure without compromising on quality.

4U is four rack unit high devices, that are 19" wide in standard rack enclosures. Usually need 4 point installations. It means Rack cabinet must have rear rails to support the weight of the server. Mostly sliding rail kit is included with servers. Also can be tower chassis that is turned to the side.
Dual CPU servers offer enhanced performance and are ideal for mid to large-sized enterprises running compute-intensive applications or virtualized environments. With two processors, these servers provide higher throughput and are commonly deployed in data centers for machine learning, complex simulations, and high-traffic web services, maximizing operational efficiency and scalability.