KINGSTON 64GB 2666MHz DDR4 ECC Reg CL19 DIMM 2Rx4 Hynix A Rambus
KINGSTON 64GB 2666MHz DDR4 ECC Reg CL19 DIMM 2Rx4 Hynix A Rambus
The Kingston 64GB DDR4 2666MHz ECC Registered DIMM is a high-capacity, enterprise-grade memory module engineered for servers and workstations that demand exceptional performance, reliability, and stability. Designed with Hynix A-die chips and Rambus power management, it delivers efficient and consistent performance for data-intensive workloads such as virtualization, cloud computing, and analytics.
With a data rate of 2666MHz and a CAS latency of CL19, this DDR4 RDIMM ensures fast and stable data processing, improving system responsiveness and multitasking efficiency. The 2Rx4 configuration allows optimal bandwidth utilization, while ECC (Error-Correcting Code) technology automatically detects and corrects memory errors, ensuring system integrity for mission-critical applications.
Built for 24/7 enterprise operation, the Kingston 64GB DDR4 ECC Registered DIMM is fully compatible with major server platforms, offering long-term reliability and maximum uptime in demanding IT environments.
Key Features:
| Feature |
Description |
| Capacity |
64GB |
| Speed |
2666MHz |
| Memory Type |
DDR4 ECC Registered (RDIMM) |
| Latency |
CL19 |
| Configuration |
2Rx4 (dual rank, x4 organization) |
| Chipset |
Hynix A-die |
| Power Management |
Rambus power control for stability |
| Error Correction |
ECC for data reliability |
| Compatibility |
Enterprise servers and workstations |
Technical Specifications:
| Specification |
Details |
| Brand |
Kingston |
| Model |
DDR4 ECC Registered DIMM |
| Capacity |
64GB |
| Memory Speed |
2666MHz |
| CAS Latency |
CL19 |
| Module Type |
RDIMM (Registered DIMM) |
| Rank |
2Rx4 |
| ECC Support |
Yes |
| Voltage |
1.2V |
| Chip Manufacturer |
Hynix A |
| Power Management |
Rambus architecture |
| Form Factor |
288-pin DIMM |
| Operating Temperature |
0°C to 85°C |
| Compatibility |
Intel® Xeon / AMD EPYC platforms |
| Use Case |
Servers, virtualization, data centers, and HPC environments |
