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AMD EPYC 7453 Processor, 28 Cores, 56 Threads, 2.8 GHz, Socket SP3, 256MB Cache - Server CPU

AMD EPYC 7453 Processor, 28 Cores, 56 Threads, 2.8 GHz, Socket SP3, 256MB Cache - Server CPU

Precio habitual $663.42 USD
Precio habitual $829.28 USD Precio de oferta $663.42 USD
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Product Description: The AMD EPYC 7453 Processor is designed for high-performance server and data center applications, offering exceptional computing power. With 28 cores and 56 threads, it delivers a base clock speed of 2.8 GHz and supports advanced processing features ideal for enterprise workloads. The massive 256MB cache ensures rapid data access and improved processing efficiency. Compatible with Socket SP3 motherboards, this processor is a robust solution for demanding server environments.

Condition: This processor is 90% new, thoroughly tested to ensure it meets high performance and reliability standards before shipping.

Key Features:

  • Cores/Threads: 28 cores and 56 threads, perfect for multi-threaded applications and virtualization.
  • Base Clock: 2.8 GHz for stable and high-performance computing.
  • Cache: 256MB cache for fast data access and enhanced efficiency.
  • Socket: Socket SP3, compatible with a wide range of server motherboards.
  • TDP: 240W, balancing performance with power consumption needs.

Specifications:

  • Processor Model: AMD EPYC 7453
  • Cores/Threads: 28/56
  • Base Frequency: 2.8 GHz
  • Cache: 256MB
  • Socket Type: Socket SP3
  • TDP: 240W
  • Lithography: 7nm

Installation Tips:

  • Ensure compatibility with Socket SP3 motherboards and use appropriate cooling solutions.
  • Apply thermal paste correctly and use a high-quality heatsink to manage thermal output.
  • Update BIOS if necessary to support the EPYC 7453 processor.
  • Contact us for installation assistance or if you have any questions about setup.

Ideal Usage Scenarios:

  • High-Performance Servers: Ideal for servers requiring extensive multi-core processing power.
  • Data Centers: Perfect for data centers handling large-scale computations and virtualization.
  • Enterprise Workloads: Suitable for complex enterprise applications and intensive data processing tasks.
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