24 Dimms - Windows Server 2019 compatible - 1U Rackmount Servers

Harness the capability of our Rackmount Servers to maximize efficiency in your server infrastructure. These servers occupy a single unit within a server rack and exemplify the balance between high performance and compact design, ideal for environments where space is at a premium.

Key Advantages:

• Compact Yet Powerful: Our servers fit snugly into a rack frame, taking up roughly 1.75 inches in height, which means outstanding performance in a small space.
• Scalability: Designed to grow with your needs, these servers are perfect for businesses planning for the future.
• Energy-Efficiency: Opting for a rack server equates to lower power consumption, making it a smart choice for budget and environment alike.
• Versatile Hosting Solutions: From startups to expanding enterprises, the flexibility of rack servers caters to a wide range of hosting requirements.

Explore our selection to find the Rackmount Server that fits your needs. If your project requires more space, or you're simply curious about larger setups, our rackmount options lead seamlessly into our versatile range, including solutions like the mid-range 2U Rackmount Servers, perfect for those who need to scale up their server capabilities without compromising on quality.

Servers using WS2K19, also known as Windows Server 2019, are widely utilized in enterprise data centers, private clouds, and remote offices for applications like server virtualization, Active Directory, and container orchestration. The server OS offers advantages such as robust security features, improved scalability, and enhanced support for hybrid cloud scenarios.
Servers equipped with twenty-four memory sockets are engineered for the most demanding computing environments, such as large-scale data analytics platforms, real-time financial trading systems, and top-tier scientific research facilities. Offering maximum scalability, storage capacity, and computational power, these servers are purpose-built to handle the most challenging computational problems.