32 Dimms - Single server - 5U - 10U

Explore our selection of 5U to 10U Rackmount Servers, meticulously engineered to tackle the most demanding workloads such as large-scale AI training and high-performance computing (HPC) applications. These high-density servers deliver enterprise-class reliability, scalability, and customization options to seamlessly meet the requirements of large-scale data centers and complex computing environments.

Key Advantages:

• Peak Performance: Designed for intense operations, our 5U to 10U servers ensure maximum performance under heavy computational demands.

• Enterprise-Class Reliability: Each server is built for durability and sustained high performance, ensuring reliability in mission-critical applications.

• Scalability and Customization: Adapt your infrastructure to evolving demands with scalable configurations that support extensive customization.

• Energy Efficiency and Storage Density: Optimized for energy efficiency, our servers also offer superior storage density, making them ideal for environments where space and power consumption are considerations.

Browse our selection of high-performance computing solutions in this category, and for more versatile server solutions, explore our range of 4U servers, which offer adaptability for various applications alongside high availability.

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 32 memory sockets are designed to handle extreme computational challenges, making them the go-to choice for government agencies and scientific institutions focusing on areas like nuclear simulations, climate modeling, and large-scale data analytics. These servers deliver not only unmatched memory capacity but also optimal resource utilization, helping to solve complex problems more efficiently.