MT DDR4 64GB 3200MHz Server RAM, ECC Registered, PC4-25600, CL19, DIMM
MT DDR4 64GB 3200MHz Server RAM, ECC Registered, PC4-25600, CL19, DIMM
Precio habitual
$139.45 USD
Precio habitual
$174.31 USD
Precio de oferta
$139.45 USD
Precio unitario
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por
Product Description: The MT DDR4 64GB 3200MHz Server RAM is designed to deliver high-speed memory performance for enterprise-grade servers and workstations. This ECC registered DIMM module ensures data integrity and reliability, making it suitable for critical applications and demanding workloads. Operating at 3200MHz with a CAS latency of 19, it provides optimal performance and stability.
Condition: This memory module is 90% new and has been thoroughly tested to ensure it meets high standards of performance and reliability before shipping.
Key Features:
- Capacity: 64GB for large-scale data handling and improved multitasking.
- Speed: 3200MHz for fast and efficient data transfer.
- Type: DDR4, providing enhanced performance and energy efficiency.
- ECC Registered: Error-Correcting Code to detect and correct data errors, ensuring system stability.
- Form Factor: DIMM, suitable for server and workstation motherboards.
- CAS Latency: CL19 for balanced performance and speed.
Specifications:
- Manufacturer: MT
- Capacity: 64GB
- Speed: 3200MHz
- Type: DDR4
- ECC: Registered
- Form Factor: DIMM
- CAS Latency: CL19
- Compatibility: Compatible with servers and workstations supporting DDR4 RAM
Installation Tips:
- Ensure compatibility with your server motherboard before installation.
- Properly insert the RAM module into the DIMM slot and ensure it is securely seated.
- Refer to your motherboard’s manual for specific installation instructions.
- Contact us if you need assistance with installation or have any compatibility questions.
Ideal Usage Scenarios:
- Enterprise Servers: Suitable for servers requiring high-capacity and reliable memory.
- Data Centers: Ideal for data centers needing stable and high-performance RAM.
- Workstations: Perfect for professional workstations handling large datasets and complex tasks.