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Product Overview |
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The MTC10F108YS1RC48B is a 24GB DDR5 memory module designed to deliver fast and efficient performance in computing systems. It fits well in environments demanding high-speed memory access while maintaining lower power consumption compared to older DDR technologies. |
General Information |
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| Brand | Micron |
| Part Number | MTC10F108YS1RC48B |
Technical Information |
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| Memory Technology | DDR5 |
| Module Type | RDIMM |
| RAM Standard | PC5-38400 |
| Pin Count | 288-Pin |
| Error Correction | ECC Registered |
| Rank | 2Rx8 (Dual Rank) |
| Voltage | 1.1V |
Performance |
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| Bus Speed | 4800 MT/s |
| Bandwidth | 38400 MB/s |
| Native Speed | 4800 MT/s |
| CAS | 40 |
Physical Characteristics |
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| Weight | 0.50 |
| Condition | Refurbished |
Miscellaneous |
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| Eco Friendly | Yes |
| Compliance Standards | RoHS, CE |
| Assembly Required | Yes |
Product Description |
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This 24GB DDR5 memory module is built for systems requiring fast and reliable memory performance. Often found in high-end desktops and servers, it provides a solid foundation for multitasking and demanding applications. Engineered to meet the PC5-38400 standard, it runs at a speed of 4800MHz, making it suitable for workloads that benefit from quick data access and transfer. Professionals and enthusiasts alike appreciate its balance between capacity, speed, and efficiency. Key Features
This memory module is typically deployed in workstations and servers where consistent performance is critical. It helps improve response times and supports heavier workloads without significant power draw. |
Use Cases |
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The MTC10F108YS1RC48B DDR5 24GB memory module is primarily implemented in data centers and enterprise servers that require high throughput and efficient power usage. It is ideal for IT infrastructure environments where processing large datasets and optimizing memory bandwidth are critical for performance. How It's Used:
This memory module contributes to operational efficiency by delivering scalable bandwidth and reduced latency, allowing IT teams to optimize system performance while minimizing energy consumption. Its integration supports evolving workloads and infrastructure expansion without compromising reliability. |