Intel Core series - Intel Xeon D series - Octo node - 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.

Octo-node server configurations pack eight independent computing nodes into a single chassis, maximizing computational density for highly scalable workloads. Ideal for large-scale virtualization, cloud services, and high-throughput computing tasks, these servers provide the benefits of enhanced performance and efficiency, while conserving rack space and energy costs.
Intel Core processors are versatile and well-suited for a broad range of applications, from personal computing to small-scale server environments. Known for their efficient power usage and higher clock speeds, these CPUs are often the go-to choice for users looking for reliable performance, whether it's for everyday tasks, content creation, or entry-level gaming.
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.