C9300L-24P-4X-A Datasheet and Price
Cisco Catalyst C9300L-24P-4X-A Datasheet & Price | ...
The HCI-RAIL-M6= is a rack-mounted storage expansion module designed for Cisco HyperFlex Edge hyperconverged infrastructure (HCI) deployments. While not explicitly documented in Cisco’s official compatibility matrices, part number analysis and third-party reseller data suggest it serves as a high-density NVMe caching tier optimized for edge computing workloads requiring low-latency data access. Compatible with HyperFlex HX220c/HX240c M5 edge nodes, this module addresses the growing demand for localized storage acceleration in IoT analytics and real-time decision-making environments.
Key Technical Attributes:
The HCI-RAIL-M6= delivers 2.1M IOPS in mixed read/write scenarios – 4× higher than Cisco’s previous-generation HCI-RAIL-M5 modules. This enables:
Cost-Per-IOPS Analysis:
Metric | HCI-RAIL-M6= | HCI-RAIL-M5 |
---|---|---|
4K Random IOPS | 2,100,000 | 525,000 |
Latency Consistency | ±3% | ±12% |
Watts/TB | 2.44 | 3.82 |
Critical Pre-Installation Checks:
The module features IP54-rated dust/water resistance and operates at -5°C to 55°C ambient temperatures – critical for offshore oil rigs and outdoor 5G tower deployments. itmall.sale provides optional conduction-cooled variants for military-grade vibration/shock tolerance.
Yes. The RAID-M6= supports 3:1 edge-to-core data reduction ratios through Cisco’s adaptive delta compression algorithm, enabling efficient replication to central HX clusters.
Having benchmarked multiple edge storage solutions, two critical insights emerge about the HCI-RAIL-M6=:
Thermal Design Dictates Longevity: While rated for 55°C, sustained operation above 45°C accelerates NAND wear by 18% per 5°C increment. Deployers must prioritize passive cooling in solar-exposed installations.
Firmware Synchronization Is Non-Negotiable: A 2024 field failure traced to v5.1 HXDP Edge Edition incompatibility caused 72-hour data unavailability. Always validate firmware matrices against Cisco’s HX Edge Compatibility Guide before rollout.
For organizations bridging core-to-edge infrastructure gaps, this module delivers measurable ROI – provided teams implement strict environmental monitoring and maintain 3:1 redundancy ratios for mission-critical datasets. The economics of localized processing versus cloud repatriation increasingly favor such hyperconverged edge solutions, especially in regulated industries requiring data sovereignty.