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AMD EPYC 7302 Processor, 16 Cores, 32 Threads, 3.0 GHz, Socket SP3, 64MB Cache - Server CPU

AMD EPYC 7302 Processor, 16 Cores, 32 Threads, 3.0 GHz, Socket SP3, 64MB Cache - Server CPU

Precio habitual $279.97 USD
Precio habitual $349.97 USD Precio de oferta $279.97 USD
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Product Description: The AMD EPYC 7302 Processor is engineered for high-performance server and workstation applications. With 16 cores and 32 threads, it provides a base clock speed of 3.0 GHz and boasts a substantial 64MB cache for fast data access and processing. Designed for the Socket SP3 platform, this processor delivers exceptional performance and efficiency for demanding workloads and virtualization environments.

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

Key Features:

  • Cores/Threads: 16 cores and 32 threads, perfect for multi-threaded applications and virtualized environments.
  • Base Clock: 3.0 GHz for consistent and reliable performance.
  • Cache: 64MB cache to enhance data retrieval speeds and overall processing efficiency.
  • Socket: Socket SP3, compatible with a range of server and workstation motherboards.
  • TDP: 155W, balancing high performance with power consumption.

Specifications:

  • Processor Model: AMD EPYC 7302
  • Cores/Threads: 16/32
  • Base Frequency: 3.0 GHz
  • Cache: 64MB
  • Socket Type: Socket SP3
  • TDP: 155W
  • 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 heat.
  • Check for any necessary BIOS updates to support the EPYC 7302.
  • Contact us if you need assistance with installation or setup.

Ideal Usage Scenarios:

  • High-Performance Servers: Ideal for servers requiring substantial processing power and efficiency.
  • Data Centers: Suitable for data centers needing robust multi-threaded processing capabilities.
  • Virtualization: Perfect for environments with heavy virtualization and computational demands.
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