Intel SR1AN SR1AN Xeon E5-2620v2 2.1GHz 6-Core 15MB 80W 6C Proce

Overview

The Intel SR1AN Xeon E5-2620v2 is a high-performance 6 core processor designed for demanding server and workstation environments. Built on the Ivy Bridge EP architecture, this CPU delivers reliable multi-threaded performance at 2.1 GHz base frequency while maintaining an efficient power envelope of 80 W. With 15 MB of shared L3 cache, it provides fast data access for intensive workloads such as virtualization, database management and scientific computing.

Key Features

• Six physical cores with twelve threads for superior parallel processing
• Base clock speed of 2.1 GHz with Intel Turbo Boost technology for dynamic performance scaling
• 15 MB shared L3 cache to reduce latency and improve data throughput
• 80 W thermal design power (TDP) for balanced energy consumption and cooling requirements
• Support for DDR3 memory up to 1866 MT/s, enabling high bandwidth configurations
• Integrated Intel VT-x and VT-d virtualization extensions for secure and efficient virtual machine operation
• Compatibility with a wide range of server platforms using the LGA 2011 socket

Technical Specifications

• Model/Part Number: SR1AN
• Processor Family: Xeon E5 v2 series
• Core Count: 6 cores / 12 threads
• Base Frequency: 2.1 GHz (2100 MHz)
• Max Turbo Frequency: up to 2.9 GHz depending on workload and cooling
• L3 Cache Size: 15 MB
• TDP: 80 W
• Socket Type: LGA 2011
• Supported Memory Types: DDR3 1333/1600/1866, up to 256 GB per socket
• Instruction Set Extensions: SSE4.2, AVX, AES-NI, VT-x, VT-d

Typical Applications

• Enterprise servers handling virtualization and cloud services
• High-performance workstations for CAD, 3D rendering and content creation
• Database servers requiring fast transaction processing
• Scientific and engineering simulations that benefit from multiple cores
• Network appliances and storage solutions with demanding I/O workloads

This Intel SR1AN Xeon E5-2620v2 processor offers a compelling blend of core density, cache size and power efficiency, making it an ideal choice for organizations looking to upgrade their compute infrastructure while maintaining predictable energy costs.