EnGenius Enters Data Center Market with New Intel Xeon 6 Servers

Sep 4, 2025
EnGenius Technologies has launched the EAS Series DC-MHS Data Center Servers, powered by Intel Xeon 6, marking its entry into the data center server market.

EnGenius Technologies has launched the EAS Series DC-MHS Data Center Servers, powered by Intel Xeon 6, marking its entry into the data center server market, announced in a press release. The new EAS2210 and EAS1210 servers are designed to accelerate AI inferencing, training workloads, and enterprise storage operations.

The EAS2210 is a 2U server featuring dual-socket Intel Xeon 6 processors, up to 24 hot-swap NVMe U.2 drive bays, and five PCIe Gen 5 slots, making it suitable for high-performance computing tasks and large-scale private clouds. Meanwhile, the EAS1210 is a 1U server optimized for high-density virtualization, offering dual-socket Intel Xeon 6 processors, up to 12 hot-swap NVMe U.2 drive bays, and two PCIe Gen 5 slots.

Both servers are built on the modular DC-MHS framework, allowing for flexible scaling of compute performance, storage, and networking. They also feature license-free, Redfish-based server management through the EnGenius Data Center Controller (EDCC), providing centralized management for IT professionals.

EnGenius Technologies aims to support enterprises and cloud service providers with these new offerings, addressing the growing demand for hybrid cloud architectures and Industry 4.0 technologies.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.