4th/5th Generation Intel Xeon Scalable series - Dual node - Intel Xeon D series - 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.

Dual-node servers offer enhanced reliability and higher availability, making them a popular choice for mission-critical applications and data backup solutions. Typically used in medium to large enterprises, these servers offer fault tolerance and load balancing, ensuring continuous operation and optimized performance.
The 4th & 5th Gen Intel Xeon Scalable processors are engineered for advanced analytics, AI workloads, and mission-critical enterprise applications. Providing a robust suite of platform capabilities, including built-in AI acceleration, enhanced security features, and optimal energy efficiency, these processors are an ideal choice for data centers looking to modernize infrastructure and gain a competitive edge.
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.