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Product Overview |
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The 370-AECZ Dell 64GB DDR4 PC4-21300 4Rx4 Memory Module delivers significant memory capacity and speed tailored for servers and high-end workstations. It fits into Dell systems requiring robust, reliable memory upgrades and helps ensure smooth operation during data-intensive tasks. |
General Information |
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| Brand | Dell |
| Part Number | 370-AECZ |
Technical Information |
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| Memory Capacity | 64GB |
| Memory Technology | DDR4 |
| Module Type | RDIMM |
| RAM Standard | PC4-21300 |
| Pin Count | 288-Pin |
| Error Correction | ECC |
| Rank | 4Rx4 |
| Voltage | 1.2V |
Performance |
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| Bus Speed | 2666 MT/s |
| Bandwidth | 21300 MB/s |
| Native Speed | 2666 MT/s |
| CAS | 19 |
Physical Characteristics |
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| Weight | 0.50 |
| Condition | Refurbished |
Miscellaneous |
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| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE |
| Assembly Required | Yes |
Product Description |
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This 64GB DDR4 memory module is built for demanding computing environments that need large amounts of fast, stable memory. It is often found in servers and workstations, where smooth multitasking and heavy data processing are essential. Professionals managing databases, virtualization, or complex applications benefit from its capacity and speed. Key Features
Typically deployed in enterprise servers and performance workstations, this module helps maintain system responsiveness under heavy load. Its design supports scalability, allowing users to expand memory without compromising stability. |
Use Cases |
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The 370-AECZ Dell 64GB DDR4 PC4-21300 4Rx4 Memory Module is designed for environments that demand high memory capacity and reliability, such as enterprise data centers and advanced workstation setups. It is particularly suited for IT professionals managing virtualization, large-scale databases, and compute-intensive applications. How It's Used:
Implementing this memory module allows IT environments to maintain operational continuity and scalability under growing workloads. Its compatibility with Dell systems ensures smooth integration, enabling improved system throughput and stable performance in memory-intensive scenarios. |