AXIOM's DDR5 RDIMM 16GB at 6400MHz delivers enterprise-grade memory performance for servers and workstations. Built for reliability and speed, it enables data-intensive workloads with confidence.
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Type: Registered DIMM (RDIMM) for server-grade stability
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Capacity: 16GB per module for efficient multitasking and handling large datasets
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Speed: 6400MHz data rate for higher memory bandwidth and responsive apps
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ECC: Error-Correcting Code to detect and correct memory errors, improving reliability
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Voltage: 1.1V operation to optimize power consumption
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Brand / Model: AXIOM P69726-B21-AX
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Density: Supports increased component densities for next-generation performance demands
With ECC and RDIMM architecture, this module helps protect against memory errors, reducing downtime and maintaining data integrity during peak workloads. The 6400MHz speed delivers enhanced bandwidth for virtualization, databases, and other data-heavy tasks, while the 16GB capacity supports smooth multitasking. The 1.1V design contributes to more efficient operation in data centers and workstations alike.
Specs
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Brand: AXIOM
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Model: P69726-B21-AX
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Capacity: 16GB
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Type: DDR5 RDIMM
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Speed: 6400MHz
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Voltage: 1.1V
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ECC: Yes
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Module Type: Registered DIMM (RDIMM)
FAQ
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Is this memory compatible with all DDR5 motherboards? Compatibility depends on the motherboard supporting RDIMM modules and ECC features; check your motherboard specifications to confirm RDIMM and ECC support.
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Can this module be used in gaming PCs? It is primarily designed for servers and workstations, but it can work in compatible gaming systems that support RDIMM and ECC memory.
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What benefits does ECC provide? ECC detects and corrects memory errors to prevent data corruption and improve overall system reliability.
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Does the 1.1V voltage reduce power consumption? Yes—operating at 1.1V helps optimize energy efficiency without compromising performance.
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How does 6400MHz speed impact performance? Higher memory speed increases data transfer bandwidth, boosting performance in memory-intensive tasks such as virtualization, large databases, and data analytics.
