Quad node - Windows Server 2019 compatible - 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.

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.
Quad-node server configurations offer four independent nodes within a single chassis, providing an optimal blend of density and performance for compute-intensive workloads. Often deployed in HPC environments, cloud infrastructure, and big data analytics, these setups maximize operational efficiency by reducing rack space and power consumption, while still offering the scalability and reliability required for demanding applications.