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MT DDR4 16GB 3200MHz Server RAM, ECC REG, PC4-25600, Unbuffered DIMM

MT DDR4 16GB 3200MHz Server RAM, ECC REG, PC4-25600, Unbuffered DIMM

Precio habitual $35.36 USD
Precio habitual $44.21 USD Precio de oferta $35.36 USD
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Product Description: The MT DDR4 16GB 3200MHz Server RAM is designed for high-performance server environments where reliability and speed are crucial. This memory module features Error-Correcting Code (ECC) and Registered (REG) buffering, ensuring data integrity and stability during intensive operations. Operating at 3200MHz with a capacity of 16GB, it is well-suited for demanding applications and workloads in enterprise and data center settings.

Condition: This RAM is 90% new, thoroughly tested for performance and reliability before shipment.

Key Features:

  • Capacity: 16GB, providing ample memory for handling large datasets and multiple applications.
  • Speed: 3200MHz for fast data transfer rates and improved system performance.
  • Type: DDR4 for advanced memory technology and efficiency.
  • ECC REG: Error-Correcting Code and Registered for enhanced data integrity and stability.
  • Form Factor: DIMM for easy installation in compatible server motherboards.
  • PC Rating: PC4-25600 for high bandwidth.

Specifications:

  • Memory Type: DDR4
  • Capacity: 16GB
  • Speed: 3200MHz
  • ECC: Yes
  • REG: Yes
  • Form Factor: DIMM
  • PC Rating: PC4-25600

Installation Tips:

  • Ensure compatibility with your server’s motherboard and memory specifications.
  • Install modules in the correct slots for optimal performance (refer to motherboard manual).
  • Handle memory modules carefully to avoid static damage; use anti-static precautions.
  • Contact us if you need assistance with installation or compatibility checks.

Ideal Usage Scenarios:

  • Enterprise Servers: Perfect for servers requiring reliable and fast memory performance.
  • Data Centers: Suitable for high-demand applications and data-intensive operations.
  • Workstations: Ideal for professional workstations handling complex tasks and large datasets.
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