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Micron MTA36ASF8G72PZ-3G2B2R 64GB DDR4 RDIMM 3200MT/s | ECC Memory

MPN:MTA36ASF8G72PZ-3G2B2R By:Micron Warranty:1 year
US$827 - $896
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General

Product TypeMemory Module
Memory Capacity64 GB
Memory TechnologyDDR4
Product Voltage1.2 V
RAM Speed3200 MHz
RAM StandardDDR4-3200/PC4-25600
Error IdentifyingECC
Signal TypeRegistered
Column Access Strobe (CAS)CL22
RankDual Rank x4
Quantity of Pins288-pin
RAM GenreRDIMM

Engineer's Note

This 64GB DDR4-3200 RDIMM with ECC and registered signaling is purpose-built for enterprise server platforms, delivering the data integrity and stability required for memory-intensive virtualization, in-memory databases, and mission-critical workloads. Its dual-rank x4 organization maximizes interleaving efficiency on supported memory controllers, and the CL22 latency provides a responsive access profile without compromising the error correction that safeguards data in dense, scaled deployments.

Technical Specs & Insights

1. With a 64 GB capacity per module, this RDIMM allows dense memory configurations to support high virtual machine consolidation ratios without swapping to slower storage.
2. The 3200 MT/s DDR4 interface delivers the sustained memory bandwidth required for real-time database analytics and heavily multi-threaded enterprise workloads.
3. ECC protection automatically corrects single-bit errors in transit, preserving data integrity for financial transactions and long-running scientific computations where silent corruption is unacceptable.
4. Registered signal buffering stabilizes command and address lines across fully populated server channels, enabling scaling to terabytes of memory without compromising operational reliability.
5. Dual rank x4 organization interleaves access across internal banks, keeping memory pipes saturated and delivering predictable low-latency performance under constant multi-tenant pressure.

Why These Specs Matter

The Micron MTA36ASF8G72PZ-3G2B2R is unmistakably a server-grade RDIMM, and for data center professionals, its four defining characteristics translate directly into uptime, performance, and scalability. Consider a dense virtualization cluster running dozens of VMs per host. The 64 GB capacity, built on Dual Rank x4 organization, feeds more active memory channels simultaneously, boosting bandwidth for heavy consolidation without choking the memory bus. Meanwhile, ECC error correction silently defeats single-bit flips caused by cosmic radiation, preventing silent data corruption that could crash a financial transaction database or a customer-facing SaaS application—at scale, that one corrected error avoids cascading failures. In an in-memory database like SAP HANA or a Redis cluster where latency is the enemy, the registered signal buffer becomes critical. It allows you to populate all channels with multiple high-capacity DIMMs while maintaining clean signal integrity under full load, so query response times stay consistently low even as your dataset grows. The 3200 MT/s speed and CL22 latency deliver a balanced combination of swift data access and controller stability, ensuring your memory subsystem never becomes the bottleneck during peak OLTP workloads. This module is not about benchmark numbers; it is about keeping vital services online and responsive when your business depends on them.

Endurance & Reliability

General Virtualization
Populate at least one 64GB DDR4-3200 RDIMM per memory channel across both CPUs to maximize interleaving. In a typical dual-socket server with eight channels per CPU, installing 16 modules provides 1TB of capacity, easily handling a large number of virtual machines. Matching dual-rank x4 DIMMs preserve signal integrity for 3200MHz operation.

In-Memory Database
For databases like SAP HANA, populate all memory channels with these registered 64GB DIMMs to achieve massive capacity. A dual-socket system with 12 channels per socket using 24 modules yields 1.5TB, covering extensive in-memory datasets while ECC prevents data errors. Registered buffering reduces electrical load, ensuring reliability during heavy transactions.

High-Performance Computing (HPC)
HPC demands high bandwidth; install only one 64GB DIMM per channel (1DPC) to run at full 3200MT/s. On an 8-channel CPU, eight modules deliver 512GB of low-latency memory, optimal for simulation and modeling. Adding a second DIMM per channel often drops speed, harming parallel performance.

Verified Compatibility

Rigorously tested for server compatibility: supports Dell PowerEdge R750, HPE ProLiant DL380 Gen10, Lenovo ThinkSystem SR650 V2.

FAQ

Q: Can I mix this MTA36ASF8G72PZ-3G2B2R with other memory modules of different brands or speeds?

A: Mixing RDIMMs of different brands or speeds is not recommended. Mixed modules can cause signal integrity issues and system instability. For mission-critical servers, always use identical, validated DIMMs to ensure consistent performance and data reliability.

Q: Is this memory compatible with my system?

A: This 64GB DDR4-3200 ECC Registered DIMM is designed for servers using Intel Xeon Scalable or AMD EPYC platforms. Please verify that your server board supports 288-pin RDIMMs at 1.2V and confirms this part in its Qualified Vendor List (QVL).

Q: What is the recommended DIMM population order for optimal performance?

A: Follow your server motherboard’s population guide. Typically, populate identical DIMMs in the first slot of each memory channel (often the blue slots) to enable balanced multi-channel interleaving. Spread capacity evenly across CPU memory controllers for maximum throughput.

Q: Does this module support overclocking or XMP profiles?

A: No. This is a JEDEC-compliant, enterprise-grade RDIMM. It does not support XMP or overclocking. Operation at standard 3200 MT/s with CL22 timings guarantees the stability and error-free performance required in 24/7 server environments.

Q: What warranty and typical failure rate can I expect?

A: This module includes a 1-year warranty. As a high-quality enterprise RDIMM with ECC, it offers a very low failure rate. The Mean Time Between Failures (MTBF) is specifically optimized for demanding datacenter workloads.

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