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| Unit Price: | £ |
| Part No: | KINKF556R36RBK4-64 |
| Manufacturer No: | KF556R36RBK4-64 |
| Delivery: | Out Of Stock |
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The Kingston FURY Renegade Pro KF556R36RBK4-64 64GB DDR5 ECC Reg CL36 DIMM (Kit of 4) FURY Renegade Pro XMP is a workstation-focused memory kit built for systems that require consistent performance and high memory bandwidth. With four 16GB modules operating at 5600MT/s, it is designed to support multi-threaded workloads, data-heavy applications, and professional computing environments where stable memory behaviour is important.
This kit uses DDR5 architecture with ECC Registered DIMM design, helping maintain data accuracy during intensive processing tasks. The CL36 timing profile is tuned to balance latency and throughput, making it suitable for platforms that depend on sustained memory performance across long operating cycles.
This DDR5 memory kit is intended for advanced workstation environments that rely on high capacity, memory stability, and consistent throughput. It supports demanding workloads such as simulation, rendering, and large-scale data processing where sustained memory performance is required.
The Kingston FURY Renegade Pro KF556R36RBK4-64 64GB DDR5 ECC Reg CL36 DIMM (Kit of 4) FURY Renegade Pro XMP is a workstation-focused memory kit built for systems that require consistent performance and high memory bandwidth. With four 16GB modules operating at 5600MT/s, it is designed to support multi-threaded workloads, data-heavy applications, and professional computing environments where stable memory behaviour is important.
This kit uses DDR5 architecture with ECC Registered DIMM design, helping maintain data accuracy during intensive processing tasks. The CL36 timing profile is tuned to balance latency and throughput, making it suitable for platforms that depend on sustained memory performance across long operating cycles.
This DDR5 memory kit is intended for advanced workstation environments that rely on high capacity, memory stability, and consistent throughput. It supports demanding workloads such as simulation, rendering, and large-scale data processing where sustained memory performance is required.
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