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
$282.86 USD
Precio habitual
$353.58 USD
Precio de oferta
$282.86 USD
Precio unitario
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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.