General

Engineer's Note

This Micron 32GB DDR4-2400 RDIMM, with its registered signal type and ECC error correction, is purpose-built for enterprise servers and workstations running virtualization, in-memory databases, or other mission-critical workloads where data integrity and stability under high-density configurations are paramount. Its dual-rank x4 organization and CL17 latency strike an optimal balance between capacity and memory bandwidth, ensuring consistent performance across all populated DIMM slots in a multi-channel platform.

Technical Specs & Insights

1. ECC memory detects and corrects single-bit errors in real time, essential for preventing silent data corruption in financial databases and mission-critical workloads.
2. Registered DIMM architecture buffers command and address signals, enabling servers to scale to higher memory capacities without compromising signal integrity under fully populated configurations.
3. 32 GB per module dramatically increases server memory density, allowing more virtual machines or containers per physical host and improving consolidation ratios in virtualized data centers.
4. Dual-rank x4 design boosts bandwidth efficiency via rank interleaving, ensuring consistent throughput for memory-intensive enterprise applications like in-memory analytics.
5. 2400 MT/s throughput delivers 19.2 GB/s bandwidth per channel, maintaining responsive performance in multi-socket servers handling simultaneous complex queries.

Why These Specs Matter

The Micron MTA36ASF4G72PZ-2G3D1SK is a server-grade DDR4 RDIMM engineered for enterprise workloads where compromise is not an option. Its four defining characteristics translate directly into reliability and performance that data centers and IT managers depend on.

First, Error Correcting Code (ECC) technology automatically detects and corrects single-bit memory errors, a critical safeguard in a virtualized cluster hosting dozens of VMs. A cosmic ray flipping a single bit in a financial transaction database can corrupt results silently; ECC ensures data integrity so your in-memory calculations are always accurate, preventing costly computational anomalies. Second, the Registered signal type buffers the command and address lines, stabilizing the module when fully populating a server with multiple DIMMs. This is essential when scaling to 512 GB or 1 TB of RAM for large SQL databases or an in-memory analytics engine like SAP HANA, where a signal glitch under heavy load can bring an entire node down. Third, the dual-rank x4 organization interleaves memory accesses across two ranks, boosting bandwidth and reducing latency by allowing the memory controller to pipeline commands more efficiently. For a hypervisor running simultaneous virtual machines, this means more responsive I/O and faster page-file operations, directly improving user experience under contention. Finally, operating at 1.2 V at 2400 MHz, the module delivers a sweet spot of energy efficiency and throughput, reducing power consumption in a 24/7 rack without sacrificing the speed needed for real-time business intelligence—lowering total cost of ownership while meeting strict service level agreements.

Endurance & Reliability

General Virtualization
For general virtualization, populate memory channels symmetrically to maximize bandwidth and ensure NUMA balance. A typical dual-socket server should start with four 32 GB RDIMMs per CPU (128 GB per socket, 256 GB total) to comfortably run dozens of mixed‑workload VMs. Leave at least two DIMM slots free per memory controller for future scaling as VM density increases.

In-Memory Database
Low latency and error resilience are critical —leveraging these ECC Registered DIMMs is mandatory. Deploy a configuration that favors capacity over extreme frequency, such as eight 32 GB modules per server node (256 GB total), allowing large datasets like Redis or SAP HANA instances to reside entirely in RAM. Keep the memory population balanced across all channels to avoid bandwidth bottlenecks under heavy in‑memory analytics loads.

High-Performance Computing
For HPC clusters, maximize both capacity and per‑core bandwidth by fully populating all memory channels with identical 32 GB RDIMMs. A dual‑processor node with eight channels per CPU should use sixteen 32 GB DIMMs (512 GB total), ensuring the dual‑rank x4 organization maintains signal integrity while delivering the throughput required for tightly‑coupled parallel simulations. Confirm that the memory speed holds at 2400 MHz even with all slots populated, as some platforms may downclock.

Verified Compatibility

Rigorously tested server memory compatible with Dell PowerEdge R760, HPE ProLiant DL380 Gen10, Lenovo ThinkSystem SR650, and more.

FAQ