Dual CPU - Windows Server 2019 compatible - TwinPro

Experience the cutting-edge Supermicro TwinPro™ architecture, which leverages the successful Twin technology to deliver exceptional throughput, storage, networking, I/O, memory, and processing capabilities in a compact 1U/2U form factor. Designed for high-demand environments such as high-end enterprise, data center, HPC, and cloud computing, TwinPro™ servers offer a significant competitive advantage by maximizing the efficiency of data center resources.

Key Advantages:

• High-Performance Technology: Built on a foundation of proven Twin architecture, the TwinPro™ systems enhance every aspect of computing performance.

• Customizable Solutions: Fully customizable to meet the specific requirements of your operations, ensuring that you get the most out of your investment.

• Simplified Deployment and Maintenance: TwinPro™ solutions are easy to deploy and maintain, assembled with high-quality components that guarantee continuous operation even under full load.

• Optimal Form Factor: Offering top-tier capabilities within a 1U/2U configuration, allowing for efficient space usage in any setup.

Explore the full range of customizable, high-performance TwinPro servers and consider our FATTWIN SERVERS, which complement the TwinPro offerings. Discover the breadth of our blade server technology in this category, and find the optimal solution for your computing needs.

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.
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.