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UCS-MR-X32G2RT-H-AM Addon 32GB Registered ECC DDR4 2933MHz

SKU: UCS-MR-X32G2RT-H-AM Category: Tags: , , , , Brand:

UCS-MR-X32G2RT-H-AM Overview

The UCS-MR-X32G2RT-H-AM AddOn 32GB Registered ECC DDR4 2933MHz Memory for Cisco is an enterprise-grade server memory module designed for compatible Cisco UCS platforms. This 32GB DDR4-2933 (PC4-23400) Registered ECC RDIMM delivers high-speed performance, superior reliability, and excellent data integrity for virtualization, cloud computing, enterprise databases, and other mission-critical workloads. Featuring ECC error correction, a dual-rank x4 design, 288-pin RDIMM form factor, CL17 latency, and 1.2V low-power operation, it is manufactured with Tier 1 DRAM components and tested to JEDEC standards for dependable compatibility and long-term stability.

Description

Feature Details
Brand AddOn
Part Number UCS-MR-X32G2RT-H-AM
Memory Capacity 32GB
Memory Type DDR4 SDRAM
Form Factor 288-pin RDIMM
Memory Standard PC4-23400
Speed 2933MHz (DDR4-2933)
ECC Support Yes
Buffered Type Registered (RDIMM)
Rank Dual Rank (2Rx4)
CAS Latency CL17
Operating Voltage 1.2V
Chip Organization x4
Compatible OEM Cisco UCS Servers
Application Enterprise Servers
Warranty Limited Lifetime Warranty

Frequently Asked Questions

1. What type of memory is the UCS-MR-X32G2RT-H-AM?

It is a 32GB DDR4-2933 Registered ECC (RDIMM) memory module designed for compatible Cisco UCS servers.

2. Does this memory support ECC?

Yes. It features Error Correcting Code (ECC) technology to detect and correct memory errors, ensuring improved system stability and data integrity.

3. Can this memory be installed in a desktop PC?

No. This is a Registered ECC (RDIMM) server memory module and is compatible only with systems that support DDR4 RDIMM memory.

4. What voltage does this memory operate at?

The module operates at 1.2V, providing energy-efficient performance while maintaining enterprise-class reliability.

5. What workloads is this memory best suited for?

It is ideal for virtualization, cloud computing, enterprise databases, analytics, AI workloads, and other memory-intensive server applications.

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