AXIOM DDR4 256GB LRDIMM ECC memory module delivers enterprise-grade capacity and reliability for Cisco UCS B200 M5 Blade servers, designed to handle demanding data-center workloads with confidence. This high-density module pairs robust error protection with fast data transfer to keep critical applications responsive.
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Capacity: 256GB of high-density memory to support virtualization, large databases, and memory-intensive workloads.
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Memory Type: DDR4 LRDIMM for server-grade stability and scalable memory bandwidth.
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Speed: 3200MHz data rate for enhanced throughput and quicker task completion.
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ECC: Error-Correcting Code memory to detect and correct bit errors, reducing the risk of data corruption.
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Voltage: 1.2V low-power operation that helps improve overall data-center efficiency and thermal performance.
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Compatibility: Specifically designed for Cisco UCS B200 M5 Blade servers (not intended for standard desktop systems).
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Part & Model: AXG103444, tailored to integrate seamlessly with Cisco UCS B200 M5 configurations.
With this module, you gain the ability to run larger, more complex workloads in a single blade server while maintaining data integrity and energy efficiency. The combination of high capacity, server-grade reliability, and the 3200MHz bandwidth helps optimize virtualization density, in-memory analytics, and database caching, all within a compact, enterprise-approved platform.
Specs
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Brand: AXIOM
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Model: Cisco UCS B200 AXG103444
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Type: DDR4 LRDIMM ECC
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Capacity: 256GB
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Speed: 3200MHz
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Voltage: 1.2V
FAQs
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Q: Is this memory compatible with all Cisco UCS servers?
A: It is specifically designed for Cisco UCS B200 M5 Blade servers.
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Q: Does it support error correction?
A: Yes, it features ECC technology for data integrity.
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Q: What is the power consumption?
A: Operates efficiently at 1.2V.
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Q: Can this module be used in non-server systems?
A: It is optimized for server environments and may not be compatible with standard desktops.
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Q: What benefits does the 3200MHz speed provide?
A: It enables faster data transfer rates, improving overall system performance.
