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Product Overview |
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The Samsung 16GB DDR5 PC5-38400 memory module brings faster processing speeds and better power management to compatible systems. It fits into desktops and workstations that require current-generation memory technology, offering a straightforward upgrade path for improved performance without complex configurations. |
General Information |
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| Brand | Samsung |
| Part Number | M323R2GA3BB0-CQK0L |
Technical Information |
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| Memory Capacity | 16GB |
| Memory Technology | DDR5 |
| Module Type | UDIMM |
| RAM Standard | PC5-38400 |
| Pin Count | 288-Pin |
| Error Correction | Non-ECC |
| Rank | 1Rx8 |
| 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 |
| Assembly Required | Yes |
Product Description |
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This Samsung 16GB DDR5 memory module is built to enhance computing performance with its fast 4800MT/s data rate. Often found in modern desktops and workstations, it supports demanding applications and multitasking environments. Designed for users who require efficient memory handling, including content creators, professionals, and tech enthusiasts, this module provides a balance of speed and capacity. Key Features
This module is typically installed in systems where fast memory access is critical, such as gaming rigs, workstations, and high-performance desktops. It helps reduce lag and speed up data processing, making it a practical choice to improve overall system responsiveness. |
Use Cases |
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The Samsung 16GB DDR5 4800MT/s memory module is primarily utilized in modern desktop workstations and high-performance computing setups where enhanced data throughput and efficient multitasking are critical. IT professionals and system integrators deploying next-generation platforms benefit from its advanced memory architecture and compatibility with cutting-edge chipsets. How It's Used:
By integrating this DDR5 module, organizations can achieve improved operational efficiency through faster data access and reduced latency, enabling scalable memory configurations that align with evolving workload complexities in various IT environments. |