Micron DDR5 RDIMM 32GB 2Rx8 6400 CL52 16Gbit MTC20F2085S1RC64BH1 (Tray)

Brand: Micron | Category: Memory (RAM)

SKU: MTC20F2085S1RC64BH1 | Part #: MTC20F2085S1RC64BH1 | MPN: MTC20F2085S1RC64BH1

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Product Overview

The Micron MTC20F2085S1RC64BH1 is a 32GB DDR5 Registered DIMM (RDIMM) engineered for enterprise-grade server environments. Built on Micron's advanced 16Gbit die technology in a 2Rx8 dual-rank configuration, this module operates at a blazing 6400 MT/s data rate with CL52 latency, delivering exceptional memory bandwidth for the most demanding compute workloads. Supplied in tray format, it is the preferred choice for volume server deployments, system integrators, and data centre operators scaling infrastructure across the GCC and beyond.

Key Features & Benefits

• High-Speed DDR5 at 6400 MT/s: Delivers up to 51.2 GB/s of peak theoretical bandwidth per module, significantly outpacing DDR4 predecessors and accelerating throughput-intensive applications.
• 32GB Capacity with 16Gbit Dies: 2Rx8 dual-rank architecture using 16Gbit DRAM components maximises density per DIMM slot, enabling high-memory configurations without sacrificing signal integrity.
• CL52 Optimised Latency: Factory-tuned CL52-52-52 timings ensure consistent, predictable response times critical for real-time analytics, in-memory databases, and transactional workloads.
• Registered (RDIMM) Design: On-module register buffer reduces electrical load on the memory controller, supporting more DIMMs per channel and improving system stability in multi-socket server platforms.
• Tray Packaging for Volume Deployment: OEM tray format reduces per-unit cost, simplifies bulk handling, and streamlines integration workflows for large-scale data centre build-outs and server OEM manufacturing.

Technical Architecture

Built on the JEDEC DDR5 standard, this module leverages Micron's 1-beta DRAM node process technology, producing 16Gbit dies with improved power efficiency over previous generations. The 2Rx8 topology — two ranks of x8-width DRAM components — balances density with interleaving capability, enabling the memory controller to achieve higher effective throughput through rank-level parallelism. Integrated on-die ECC (ODT ECC) at the DRAM level provides an additional layer of error correction beyond system-level ECC, enhancing data integrity in mission-critical environments. The module operates on a 1.1V supply rail, reducing power consumption compared to DDR4's 1.2V standard, which translates directly to lower operational expenditure in large-scale deployments.

Performance & Capacity

At 6400 MT/s, the MTC20F2085S1RC64BH1 delivers a peak bandwidth of approximately 51.2 GB/s per module. In a dual-channel configuration typical of modern 4th and 5th generation Intel Xeon Scalable or AMD EPYC 9004 series platforms, aggregate bandwidth can exceed 100 GB/s per processor socket. The 32GB capacity per slot allows a standard 2-socket server with 16 DIMM slots to reach up to 512GB of total system memory, supporting large in-memory datasets, virtualisation density, and AI model inference tasks without memory bottlenecks.

Compatibility & Integration

The MTC20F2085S1RC64BH1 is designed for compatibility with server platforms based on Intel Xeon Scalable (Sapphire Rapids and Emerald Rapids) and AMD EPYC Genoa/Bergamo processors that support DDR5 RDIMM. It conforms fully to JEDEC DDR5 RDIMM specifications and is compatible with leading server OEM platforms from Dell, HPE, Lenovo, Supermicro, and others that certify DDR5-6400 operation. System integrators should verify platform QVL (Qualified Vendor List) listings for specific server models prior to deployment.

Ideal Use Cases

• Hyperscale & Cloud Data Centres: Maximise compute density and memory bandwidth in cloud-native workloads, virtualisation farms, and containerised environments where memory throughput is a primary performance constraint.
• AI & Machine Learning Inference: Feed large neural network models and inference engines with high-bandwidth memory, reducing data starvation latency and improving tokens-per-second throughput on CPU-based inference nodes.
• High-Performance Databases: Accelerate SAP HANA, Oracle In-Memory, and Microsoft SQL Server workloads with substantial memory pools operating at DDR5-6400 speeds, enabling faster query execution and reduced I/O dependency.
• HPC & Scientific Computing: Support memory-bound simulation and modelling codes in genomics, computational fluid dynamics, and financial risk modelling where sustained bandwidth directly correlates to time-to-result.