100-000000047

Overview Of 100-000000047

Elevate your data center with the cutting-edge AMD EPYC™ processor-based instances, setting new benchmarks with 80 world records. Designed to revolutionize performance across Cloud Computing, Software Defined Infrastructure, High Performance Computing, and Big Data Analytics, the 2nd Generation AMD EPYC Processor guarantees unrivaled speed, efficiency, and security. Seamlessly integrating into modern data center workloads, the EPYC Family of Processors promises reliability and agility for your most demanding applications.
Delve into a realm of advanced security features, robust scalability options, and exceptional capabilities with the EPYC Tetrahexaconta-core 7702P 2GHz Server Processor. Boasting a 64-core powerhouse engineered on 7nm process technology, this processor delivers unmatched performance with 256MB of L3 cache. Experience maximum thermal design power of 200W, support for 128 processor threads, and overclocking speeds up to 3.35 GHz, ensuring peak productivity and enhanced efficiency for your data center operations.

Primary Processor	State-of-the-art 64-core AMD EPYC™ processor for ultimate performance.
Form Factor	Rack-mountable design for versatile deployment in various network environments.
Network Technologies	Supports high-speed connections like 10/100/1000Base-T for seamless network integration.
Security Features	Advanced encryption protocols for robust data protection and fortified access controls.
Power Supply Options	Enhanced scalability with multiple power supply configurations and Redundant Array of Independent Disks (RAID).
Expansion Slots	Multiple expansion slots for increased connectivity and expandability.
Modular Components	Modular design for easy upgradeability and maintenance.
Management Interfaces	Advanced management interfaces for simplified monitoring and control.
Cooling Solutions	Efficient cooling solutions to ensure optimal performance under demanding workloads.
Virtualization Support	Full support for virtualization technologies to maximize resource utilization.