Powering the modern data centers
In an era of rapid digitalization, businesses face challenges like data proliferation, AI integration, and the need for sustainable operations.
Eviden’s data center server portfolio is designed to tackle these issues head-on, offering scalable architectures, robust security features, and eco-efficient technologies to ensure seamless and future-ready IT infrastructures.

Our products

BullSequana SH series
A high-performance scalable server from 2 to 32 sockets powered by Intel® Xeon® to manage AI workloads and business-critical applications.

BullSequana SA series
Versatile 1-2 socket servers optimized for virtualization, cloud infrastructures, and AI/ML workloads.

Escala
Enterprise-grade servers powered by Power10 processors, delivering exceptional performance and reliability for critical applications.
Enhance data center workloads
Accelerate data processing with high throughput and optimized memory bandwidth for real-time insights
Deploy scalable, cloud environments with high availability and robust security at every layer.
Run dense virtual environments efficiently with powerful compute, optimized performance, and simplified management
Related resources
Explore our enterprise & AI servers solutions
FAQ
Yes, BullSequana SH servers are certified for SAP HANA use cases and are showing leading performance in benchmark results. Escala servers are also adapted to this use case.
Our systems integrate energy-efficient designs, advanced cooling, and lifecycle optimization to reduce environmental impact.
Our team can help you assess your performance, scalability, and other needs to recommend the best-fit server for your use case.
We offer a range of professional services including installation, configuration and maintenance. Learn more about our services.
Yes, Eviden servers are designed for easy integration with standard enterprise architectures, supporting both legacy and modern systems.
Get in touch!
Connect with us to explore how Eviden’s servers solutions can optimize your data center performance.
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