General

Engineer's Note

Designed specifically for server environments, this 64GB DDR4-3200 RDIMM with ECC and a registered signal type ensures robust data integrity and system stability for demanding workloads such as virtualization and in-memory databases. Its dual-rank x4 configuration and low CAS latency of CL22 enhance memory bandwidth efficiency and reduce access times, making it an ideal choice for dense, mission-critical deployments where reliability and consistent performance are paramount.

Technical Specs & Insights

1. 64 GB capacity per module allows dense virtualization hosts to support more active VMs and large-scale in-memory databases without resorting to expensive, higher-socket platforms.
2. Registered signal type stabilizes command and address buses under fully populated server channels, ensuring predictable operation in 24/7 mission-critical environments with numerous DIMMs per channel.
3. ECC error correction safeguards against silent data corruption in long-running analytical workloads, directly protecting financial integrity and scientific simulation accuracy.
4. 3200 MHz memory speed ensures high sustained throughput to fully utilize modern multi-core server CPUs, minimizing data stalls during concurrent transcoding and real-time AI inference streams.
5. Dual Rank x4 organization leverages bank-level parallelism to keep memory queues saturated, delivering consistent latency profiles when juggling diverse enterprise workloads like database serving alongside container orchestration.

Why These Specs Matter

When you are running a dense virtualization cluster or an in-memory database like SAP HANA, memory errors and signal degradation are not abstract risks—they are the direct causes of transactional corruption and unplanned downtime. The Micron MTA36ASF8G72PZ-3G2E7 64GB DDR4-3200 RDIMM is engineered to eliminate exactly those failure points, turning four technical attributes into tangible operational guarantees for your data center.

Its ECC technology means that single-bit errors, which cosmic radiation can silently introduce into unbuffered memory, are detected and corrected in real time. In a financial trading system or a patient-records server, this is the difference between verified data integrity and a flipped bit that alters a balance or a dosage. The registered signal type buffers the command and address lines, so when you populate all 24 DIMM slots across a dual-socket server to achieve massive memory capacity, the memory controller drives a clean, stable signal instead of a degraded waveform that forces you to downclock. That stability becomes critical when you are counting on 1.5 TB of total memory to support hundreds of active VMs.

Pair that with a dual-rank x4 organization at 3200 MT/s. In a memory-bandwidth-bound analytics workload, each rank interleaves access, and the x4 architecture provides deeper banks per DIMM. What you experience is not just a high transfer rate on paper but sustained throughput and lower queuing latency when your SQL engine scans multi-billion-row tables. The CL22 latency at this speed is tightly tuned for the registered ecosystem, balancing burst responsiveness with the large page-hit efficiency that a hypervisor requires when swapping guest contexts. Simply put, this is how you keep every vCPU fed with data and prevent the micro-stutters that cascade into SLA violations across your cluster.

Endurance & Reliability

This module is a 64GB DDR4-3200 ECC Registered RDIMM, built for dual-socket and multi-core server platforms where data integrity and large memory footprints are critical. Its dual-rank x4 design and 1.2V operation suit dense deployments. Below are capacity planning guidelines for three key server workloads.

General Virtualization
Populate all memory channels evenly to maximize bandwidth and avoid NUMA penalties. A balanced configuration of eight identical 64GB RDIMMs per processor (512GB per socket) handles 30–50 typical VMs with headroom. Scale to 16 modules per socket for 1TB, ensuring identical DIMMs across channels to maintain uniform memory interleaving.

In-Memory Database
Aim to fit the entire hot dataset into DRAM for sub-millisecond latency. Start with 8×64GB (512GB) per node, mirroring all channels to leverage bank-level parallelism. For larger instances like Redis or SAP HANA, fully load 16 DIMM slots per processor for 1TB, prioritizing capacity over frequency while keeping all ranks identical to avoid training mismatches.

High Performance Computing
Memory bandwidth often limits simulation and model throughput. Install exactly one dual-rank DIMM per channel to sustain the rated 3200 MT/s—populating more than one per channel will downshift speed. An 8-DIMM configuration per processor delivers 512GB and approximately 204.8 GB/s peak bandwidth, striking an optimal balance between capacity and unthrottled memory speed for MPI-heavy or CFD workloads.

Verified Compatibility

Rigorously tested for Dell PowerEdge R750, HPE ProLiant DL380 Gen10 Plus, Lenovo ThinkSystem SR650 V2.

FAQ