Intel Xeon D series - Intel Xeon W series - Intel Xeon W-3000 series - Single server - Blade servers

Blade servers offer a compact yet powerful computing solution, designed to maximize processing power while minimizing the footprint in rack space. This modern architecture integrates server, networking, and storage capabilities with unified remote management features. Our blade servers are perfect for a variety of demanding applications.

Key Advantages:

• Space Efficiency: Reduces the need for excessive rack space, simplifying cabling and maintenance.

• Enhanced Power Management: Optimizes power consumption, crucial for maintaining efficiency in large-scale operations.

• Unified Remote Management: Allows for seamless management of server health and resources from a remote location.

• Versatile Applications: Ideal for cloud computing, video streaming, content delivery, social networking, desktop virtualization, and remote workstations.

Discover our comprehensive selection of multi-processor servers to find the ideal solution tailored to your specific needs.

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.
The Intel Xeon W-3000 series processors are engineered for workstation applications, offering robust performance and support for advanced computing tasks such as 3D rendering and scientific simulations. With features like ECC memory support and enhanced security protocols, these CPUs are well-suited for professionals in fields like architecture, engineering, and content creation who require high reliability and computational power.
Intel Xeon D processors are optimized for dense server environments and edge computing, delivering a powerful performance in a low-power, compact footprint. These processors are particularly suited for tasks like network function virtualization, software-defined storage, and other workloads requiring high-throughput and low latency, making them a cost-effective and energy-efficient option for both data centers and edge deployments.