General

Engineer's Note

This Samsung M393A4K40DB3-CWEGY is a 32GB DDR4-3200 RDIMM purpose-built for server platforms, utilizing dual-rank x4 configuration and registered signal buffering to deliver maximum memory capacity and stability in multi-DIMM configurations. Its ECC engine ensures data integrity under 24/7 operation, making it ideal for memory-intensive workloads such as virtualization, in-memory databases, and enterprise-class computing where silent data corruption is unacceptable.

Technical Specs & Insights

1. Ample per-module capacity enables dense virtualization hosts to consolidate more virtual machines, reducing the need for additional physical servers and lowering total infrastructure cost.
2. ECC protection continuously detects and corrects single-bit errors, safeguarding the integrity of long-running financial transactions and sensitive scientific computations.
3. Registered signal buffering stabilizes high-capacity memory buses, allowing fully populated configurations that maintain rock-solid reliability under sustained enterprise workloads.
4. High data rate accelerates parallel data processing and in-memory analytics, shortening the response time of latency-sensitive cloud applications.
5. Dual Rank x4 design maximizes channel utilization through rank interleaving, delivering predictable throughput and consistent latency critical for heavily consolidated virtualized environments.

Why These Specs Matter

The Samsung M393A4K40DB3-CWEGY is unmistakably a server-class RDIMM, and its engineered features directly address the relentless demands of modern data centers. First, Error-Correcting Code (ECC) protection is not a luxury, it is a frontline defense. In a memory database like SAP HANA, a single silent bit flip caused by cosmic radiation can corrupt financial records or inventory counts without warning; ECC detects and corrects these errors in real time, safeguarding transactional integrity. Second, the Registered signal type uses a hardware buffer to manage command and address signals, enabling the system to support massive 32GB modules and dense dual-socket configurations. When you are running a virtualized VMware cluster with dozens of virtual machines per host, this signal stability prevents memory-related crashes under heavy load, keeping business-critical services online. Third, the Dual Rank x4 organization leverages internal bank interleaving to boost effective bandwidth. For in-memory analytics platforms that stream terabytes of data for real-time dashboards, this architecture reduces data fetch latency and prevents bottlenecks, delivering a tangible performance uplift over single-rank alternatives. Finally, operating at a power-efficient 1.2V with a 3200MT/s transfer rate and CL22 latency, it balances high throughput with thermal efficiency. This means lower power bills and reduced cooling loads in densely populated racks, allowing you to scale your memory footprint without exceeding your thermal envelope. Every bit of this module is built to turn downtime risk into operational confidence.

Endurance & Reliability

General Virtualization
Deploy these 32 GB ECC RDIMMs in balanced multiples across memory channels to maximize throughput in virtualized environments. A common starting point is six or eight modules (192–256 GB) with one DIMM per channel, preserving 3200 MT/s speeds while providing ample headroom for dozens of VMs. For heavily consolidated hosts, populate the second slot per channel to scale capacities up to 512 GB and beyond, but be aware that dual-DIMM-per-channel configurations may slightly reduce operating frequency depending on the platform.

In-Memory Database
In-memory databases demand the largest possible footprint with low latency, making the registered DDR4-3200 CL22 specification a cost-effective building block. Fully populate every memory channel—ideally with two dual-rank x4 modules per channel—to achieve multi-terabyte capacities on a two-socket server, as the high bank count per module benefits concurrent access. This configuration ensures data-intensive workloads like Redis or SAP HANA can reside entirely in RAM while maintaining predictable, high-bandwidth performance under aggressive parallel query loads.

High-Performance Computing
HPC clusters typically prioritize bandwidth over raw capacity, so install these 32 GB RDIMMs with one module per channel for maximum frequency headroom in nodes running memory-bound simulations. Eight or twelve modules (256–384 GB) in a dual-socket platform often strike the ideal balance, supplying enough capacity for large datasets without incurring the clock-speed penalties of multi-DIMM-per-channel setups. For capacity-hungry workflows that cannot tolerate disk I/O, a two-module-per-channel fill is acceptable, but rigorous on-node bandwidth testing is recommended to confirm the performance impact remains acceptable.

Verified Compatibility

Rigorously tested and compatible with Dell PowerEdge R750/R740, HPE ProLiant DL380 Gen10 Plus, Lenovo SR650 V2.

FAQ