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Lenovo 02YH613 64GB DDR4-3200MHz RDIMM 4Rx4 CL22 Memory
- Capacity: 64GB
- Type: DDR4 SDRAM
- Speed: 3200MHz
- Form Factor: RDIMM (Registered DIMM)
- Configuration: 4Rx4 (Quad Rank x4)
- Latency: CL22
- Designed for Lenovo servers
- Supports high-density computing and large-scale virtualization
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Product Overview
The Lenovo 02YH613 is a 64GB DDR4-3200MHz RDIMM memory module. It features a 4Rx4 configuration and CL22 latency, designed for high-density server applications requiring maximum memory capacity and performance.
Technical Information
| Capacity | 64GB |
| Memory Type | DDR4 SDRAM |
| Speed | 3200MHz |
| Form Factor | RDIMM |
Additional Specifications
| Rank | 4Rx4 |
| CAS Latency | CL22 |
| Brand | Lenovo |
Product Description
The Lenovo 02YH613 is a substantial 64GB DDR4 Registered DIMM (RDIMM) memory module, engineered for servers that require maximum memory capacity and high-speed data processing. Operating at 3200MHz, this module is ideal for the most demanding enterprise workloads, including large-scale virtualization, in-memory databases, and complex data analytics. The RDIMM architecture includes an onboard register that buffers command and address signals, which is crucial for supporting higher memory densities and maintaining signal integrity in systems with many memory modules. This module is configured as 4Rx4, signifying it is quad-rank with each rank composed of x4 (4-bit wide) DRAM chips. The quad-rank configuration allows for increased memory bandwidth and capacity by enabling the memory controller to access multiple ranks simultaneously. This advanced configuration is typically found in high-end servers designed for maximum memory footprint and performance. With a CAS Latency (CL) of 22, the 02YH613 provides efficient timing for DDR4 memory operating at 3200MHz. As a component validated for Lenovo server platforms, it ensures seamless integration and reliable operation within the Lenovo infrastructure. This 64GB RDIMM is an essential upgrade for servers needing to handle extremely large datasets and intensive computational tasks, maximizing the potential of the system.
