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Intel Xeon E5-2660 v4 Processor, 14 Cores, 28 Threads, 2.0 GHz (3.0 GHz Turbo), LGA 2011-3, 35MB Cache - Server CPU

Intel Xeon E5-2660 v4 Processor, 14 Cores, 28 Threads, 2.0 GHz (3.0 GHz Turbo), LGA 2011-3, 35MB Cache - Server CPU

Regular price $13.36 USD
Regular price $16.70 USD Sale price $13.36 USD
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Product Description: The Intel Xeon E5-2660 v4 Processor is a high-performance server CPU designed for demanding computational tasks and enterprise applications. Featuring 14 cores and 28 threads, it operates at a base frequency of 2.0 GHz and can boost up to 3.0 GHz for enhanced performance. The 35MB cache helps to accelerate data access, while the LGA 2011-3 socket ensures compatibility with a broad range of server motherboards.

Condition: This processor is 90% new and has been thoroughly tested to guarantee optimal performance and reliability before shipping.

Key Features:

  • Cores/Threads: 14 cores and 28 threads, ideal for multi-threaded applications and virtualization.
  • Base Clock: 2.0 GHz with Turbo Boost up to 3.0 GHz for improved performance under load.
  • Cache: 35MB cache to enhance processing efficiency and speed.
  • Socket: LGA 2011-3, compatible with many server and workstation motherboards.
  • TDP: 105W, balancing power consumption and performance.

Specifications:

  • Processor Model: Intel Xeon E5-2660 v4
  • Cores/Threads: 14/28
  • Base Frequency: 2.0 GHz
  • Max Turbo Frequency: 3.0 GHz
  • Cache: 35MB
  • Socket Type: LGA 2011-3
  • TDP: 105W
  • Lithography: 14nm

Installation Tips:

  • Verify compatibility with LGA 2011-3 socket motherboards and ensure proper cooling solutions.
  • Apply thermal paste correctly and use a high-quality heatsink to manage heat dissipation.
  • Check for any BIOS updates needed to support the E5-2660 v4 processor.
  • Contact us if you need assistance with installation or have any setup questions.

Ideal Usage Scenarios:

  • Enterprise Servers: Perfect for servers requiring high-performance and reliability.
  • Virtualization: Ideal for environments that demand robust multi-threaded performance.
  • Data Processing: Suitable for tasks involving large datasets and complex computations.
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