Safe Checkout
Secure Payments
Fast Delivery
Order Today
Free Shipping
Across the US
Easy Returns
Hassle-Free
Samsung M321R8GA0PB0-CWMJJ 64GB PC5-44800 DDR5-5600MHz CL46 Memory
- 64GB Memory Capacity
- DDR5 Technology
- PC5-44800 Data Rate
- 5600MHz Clock Speed
- CL46 CAS Latency
- High-Performance Module
- For Modern Computing Systems
- ECC Unbuffered (UDIMM)
Free U.S. Ground Shipping
Typically 1-2 handling + 3-7 transit days
Purchase orders accepted
For government, enterprise, data center, and small business customers.
Bulk Purchase Inquiry
Volume pricing and availability
Product Overview
This Samsung memory module is a 64GB PC5-44800 DDR5 RAM stick, operating at 5600MHz with a CL46 latency. It is designed for high-performance computing systems requiring substantial memory capacity and speed.
Technical Information
| Capacity | 64GB |
| Memory Type | DDR5 |
| Speed | 5600MHz |
Additional Specifications
| Part Number | M321R8GA0PB0-CWMJJ |
| Data Rate | PC5-44800 |
| CAS Latency | CL46 |
Product Description
The Samsung M321R8GA0PB0-CWMJJ is a high-capacity 64GB memory module built on the advanced DDR5 standard. This module is engineered to deliver significant performance improvements over previous DDR generations, offering higher bandwidth, increased power efficiency, and greater density. With a data rate designation of PC5-44800 and an operating frequency of 5600MHz, it is capable of handling demanding computational tasks and multitasking environments with ease. The module features a CAS Latency (CL) of 46, which indicates the number of clock cycles required for the memory controller to access a specific column address. While DDR5 generally has higher latencies than DDR4, the increased clock speeds compensate for this, resulting in superior overall performance. This specific module is likely an Unbuffered DIMM (UDIMM), commonly used in desktop workstations and servers that do not require registered memory. This 64GB DDR5 module is ideal for users and professionals who require substantial memory resources for applications such as video editing, 3D rendering, large-scale data analysis, scientific simulations, and running multiple virtual machines. Its high capacity and speed contribute to faster application loading times, smoother multitasking, and improved system responsiveness, making it a key component for modern high-performance computing systems.
