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Product Overview |
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The Crucial Pro 64GB DDR5 5600MHz Non-ECC UDIMM Memory provides a large capacity DDR5 memory module designed for desktop systems. It operates at 5600MHz frequency, delivering improved data rates, and comes as a non-ECC UDIMM suitable for standard desktop configurations. |
General Information |
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| Brand | Crucial |
Technical Information |
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| Memory Capacity | 64GB |
| Memory Technology | DDR5 |
| Module Type | UDIMM |
| RAM Standard | PC5-44800 |
| Pin Count | 288-Pin |
| Error Correction | Non-ECC |
| Rank | Dual Rank (2Rx8) |
| Voltage | 1.1V |
Performance |
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| Bus Speed | 5600 MT/s |
| Bandwidth | 44800 MB/s |
| Native Speed | 5600 MT/s |
| CAS | CL46 |
Physical Characteristics |
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| Package | FBGA |
| Weight | 3.00 |
| Condition | Refurbished |
Miscellaneous |
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| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC |
| Assembly Required | No |
Product Description |
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The Crucial Pro 64GB DDR5 5600MHz Non-ECC UDIMM Memory module is designed to provide high-capacity memory for desktop systems. It is typically used in environments requiring substantial memory to handle demanding applications and multitasking. IT professionals and advanced users who need to upgrade or expand their workstation or desktop computer memory benefit from this module. Key Features
This memory module delivers increased capacity and speed that support complex computing tasks, improving system responsiveness. It serves as a crucial component for users seeking to expand their system's memory limits without the need for error-correcting features. |
Use Cases |
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This Crucial 64GB DDR5 memory module is typically used in desktop environments where high memory capacity and increased bandwidth are required. It suits users engaged in multimedia editing, 3D rendering, software development, and running virtual machines. How It's Used:
By increasing the available system memory and operating at a higher frequency, this module helps maintain performance in demanding computing environments. It plays a vital role in enabling users to manage larger datasets and improve workflow efficiency. |
FAQ's |
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