Samsung - M393AAK40B42-CWD - DDR4 - module - 128 GB - DIMM 288-PIN - 2666 MHz / PC4-21300 CL22 1,2 V geregistreerd ECC

For servers and workstations that cannot tolerate memory errors, the Samsung M393AAK40B42-CWD delivers a dense 128GB of DDR4 capacity on a single registered DIMM. Unlike standard unbuffered modules, this RDIMM includes an on-board register that buffers command and address signals, allowing the memory controller to drive more modules per channel without signal integrity loss. The result is a stable foundation for virtualization hosts, in-memory databases, and high-performance computing nodes where data accuracy is non-negotiable.

Highlights

• 128GB capacity in a single 288-pin DIMM
• DDR4-2666 (PC4-21300) with CL22 latency
• ECC (Error-Correcting Code) detects and corrects single-bit errors
• Registered (buffered) design for multi-DIMM server configurations
• Low 1.2V operating voltage reduces power consumption

In daily use

This module is engineered for sustained 24/7 operation in enterprise environments. The ECC function continuously scans data for corruption, automatically correcting single-bit errors and alerting the system to multi-bit failures before they can cause downtime or data loss. The registered buffer isolates the memory chips from the electrical load of the memory controller, enabling reliable operation even when all DIMM slots are populated. At 2666 MHz, it provides ample bandwidth for memory-intensive applications such as large-scale databases, real-time analytics, and virtual machine consolidation.

Full specifications

• Brand: Samsung
• Model: M393AAK40B42-CWD
• Memory type: DDR4 SDRAM
• Capacity: 128 GB
• Module type: DIMM 288-pin
• Speed: 2666 MHz (PC4-21300)
• CAS latency: CL22
• Voltage: 1.2 V
• Error correction: ECC
• Buffering/Registration: Registered (RDIMM)
• Application: Server / Workstation
• Configuration: Single module

Final note

When every transaction counts, this Samsung RDIMM provides the capacity, speed, and data integrity required for mission-critical server workloads.