1 GPU - AMD EPYC 7000 series - SuperBlade - 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.

SuperBlade server solutions are designed for high-density computing, offering an all-in-one platform for data centers and large-scale enterprise applications. These systems are particularly useful in HPC environments, cloud infrastructures, and virtualization, delivering advantages like energy efficiency, rapid deployment, and centralized management through a single interface. Also GPU blades for VDI deployment and GPU computing are available.
The AMD EPYC 7000 series processors are designed for scalable data center and enterprise applications, excelling in tasks like virtualization, high-performance computing, and cloud-based solutions. Leveraging a significant number of cores and an architecture optimized for efficiency, these processors offer high performance, robust security features, and an attractive TCO (Total Cost of Ownership), making them a favored choice for organizations aiming to achieve operational excellence.
Servers that support only one GPU are often best suited for small to medium-sized businesses or specific tasks that require moderate graphical or computational power, such as basic machine learning algorithms or video transcoding. The benefit of having a single GPU is that it offers a cost-effective solution while still providing a significant boost in performance for specialized workloads.