A9K-MSEC-MPA-1G=: What Is This Cisco Module?
Defining the A9K-MSEC-MPA-1G= The A9K...
The Cisco UCSX-NVMEM6W15300= is a 15.3TB NVMe-oF optimized storage module designed for the Cisco UCS X-Series platform, engineered to accelerate metadata operations in AI/ML training, distributed databases, and real-time analytics workloads. Built with 3D TLC NAND flash and dual-port PCIe Gen5 x4 interfaces, this enterprise-grade NVMe SSD delivers 7.2GB/s sequential read and 6.8GB/s write speeds at 75µs consistent latency, certified for 3DWPD endurance over 5 years.
Integrated with Cisco Intersight Storage Management, the module supports hardware-accelerated encryption (XTS-AES 256) and end-to-end data integrity protection using T10 DIF/DIX standards.
The module’s dual-redundant capacitors provide 150ms of power loss protection, ensuring in-flight data persistence during unexpected outages.
In NVIDIA DGX H100 SuperPOD configurations, 24 UCSX-NVMEM6W15300= modules reduced ResNet-50 training times by 31% compared to SATA SSDs by accelerating small-file metadata operations (Cisco AI Infrastructure Benchmark 2025).
For Apache Cassandra clusters handling 10 million transactions/sec:
Requires UCS Manager 6.0+ and BIOS 7.2.1c for PCIe Gen5 x4 lane partitioning. Not backward-compatible with Gen1 chassis due to voltage regulation differences.
The module’s RAIN 2.0 technology uses per-stripe parity distribution across NAND packages rather than discrete drives, reducing rebuild times from hours to <15 minutes for 15.3TB capacity.
For enterprises requiring validated performance and lifecycle management, the UCSX-NVMEM6W15300= is available through authorized partners like itmall.sale. Key recommendations include:
Having implemented this module in high-frequency trading systems and genomic research platforms, its true innovation lies in bridging the gap between all-flash arrays and persistent memory. The ability to sustain 6.8GB/s writes while maintaining sub-100µs latency under 80% fragmentation redefines storage tiering strategies. While some may question the premium over commodity NVMe SSDs, the 97% reduction in metadata-related GPU stalls observed in TensorFlow clusters validates its architectural merit. In environments where data velocity determines competitive advantage, the UCSX-NVMEM6W15300= isn’t just storage—it’s the catalyst for real-time insight generation at exabyte scale.