www.industry-asia-pacific.com

IBASE Edge AI Server Features AMD EPYC Embedded 8004 Processors

IBASE Technology Inc. launches the ES1002 server designed for high-performance data processing and real-time artificial intelligence inference at the network edge.

  www.ibase.com.tw
IBASE Edge AI Server Features AMD EPYC Embedded 8004 Processors

The ES1002 Edge AI Server is designed for applications requiring high-performance computing and data-intensive processing at the edge. The system utilizes AMD EPYC Embedded 8004 series processors, which provide up to 64 cores and 128 threads. This architectural density allows the hardware to handle complex real-time analytics and AI inference tasks that occur outside centralized data centers. The processor choice supports multi-threaded workloads necessary for large-scale data processing in industrial and enterprise environments.

Memory capacity and data throughput
The system supports up to 576GB of ECC memory across six DDR5-4800 RDIMM slots. High memory capacity and Error Correction Code (ECC) are necessary for managing large datasets while preventing data corruption during high-load operations. For connectivity and expansion, the server includes five PCIe Gen5 x16 slots. These slots provide the high bandwidth required for integrating GPU accelerators and specialized AI expansion cards, ensuring the hardware can meet the specific throughput demands of modern neural networks and high-speed network interface cards.

Thermal management and system scalability
Housed in a 4U rackmount chassis, the ES1002 features an internal layout intended to optimize thermal management. Effective heat dissipation is critical for maintaining system stability during continuous, long-duration operations in mission-critical environments. The server also incorporates dual 10GbE ports for high-speed network communication. This configuration makes the system suitable for deployment as an enterprise application server, a data storage node, or a backup and data protection system within scalable IT infrastructures.

Edited by an industrial journalist, Lekshman Ramdas, with AI assistance.

www.ibase.com

  Ask For More Information…

LinkedIn
Pinterest

Join the 155,000+ IMP followers