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Samsung M321RYGA0BB0-CQKZJ 96GB PC5-38400 DDR5-4800MHz CL11 Memory
- 96GB Memory Capacity.
- DDR5 RDIMM (Registered DIMM).
- PC5-38400 (DDR5-4800MHz).
- CAS Latency: CL11.
- Designed for servers and workstations.
- High-performance memory module.
- Supports advanced computing tasks.
- Optimized for speed and capacity.
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Typically 1-2 handling + 3-7 transit days
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For government, enterprise, data center, and small business customers.
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Volume pricing and availability
Product Overview
The Samsung M321RYGA0BB0-CQKZJ is a 96GB PC5-38400 DDR5-4800MHz memory module with a CL11 latency. It is a high-performance RDIMM designed for servers and workstations requiring substantial memory capacity and speed.
Technical Information
| Product Type | Memory Module |
| Capacity | 96GB |
| Memory Technology | DDR5 |
| Form Factor | RDIMM |
Additional Specifications
| Speed | 4800MHz |
| Module Speed Rating | PC5-38400 |
| CAS Latency | CL11 |
Product Description
The Samsung M321RYGA0BB0-CQKZJ is a high-capacity 96GB DDR5 Registered DIMM (RDIMM) memory module, identified by its PC5-38400 rating, which corresponds to a speed of 4800MHz. This module is engineered for high-performance computing environments, including servers and workstations, where substantial memory capacity and rapid data access are critical. The DDR5 technology offers significant advancements in bandwidth, efficiency, and density over previous generations of RAM. This specific module features a CAS Latency (CL) of 11. Lower CAS latency generally indicates faster response times for memory operations, contributing to overall system responsiveness and performance. As an RDIMM, it includes onboard registers to buffer command and address signals, which reduces the electrical load on the memory controller, enabling higher memory configurations and improved stability in demanding applications. With its 96GB capacity and high-speed DDR5 interface, the M321RYGA0BB0-CQKZJ is well-suited for memory-intensive tasks such as running virtual machines, large-scale data analytics, complex scientific simulations, and enterprise-level databases. It provides the necessary resources to handle large datasets and demanding workloads efficiently, making it a key component for modern, high-performance IT infrastructure.
