What is FPR9K-RMK= and How Does It Secure Cis
Understanding the Role of FPR9K-RMK= in Network I...
The UCS-FAN-6332= is Cisco’s proprietary cooling module designed for UCS 6332/6454 Fabric Interconnects, engineered to maintain optimal thermal performance in hyperscale data center environments. As a hot-swappable N+1 redundant fan unit, it operates at 15,000 RPM with a maximum airflow capacity of 240 CFM, supporting ambient temperatures up to 45°C at sea level. Key design innovations include:
Certified for NEBS Level 3+ compliance, the module implements IP55-rated dust/water resistance and operates at 48V DC input with <28dB(A) noise output at 1m distance.
Validated thermal benchmarks under full Fabric Interconnect load demonstrate:
Heat Dissipation Efficiency
Energy Optimization
Failure Scenarios
The UCS-FAN-6332= supports multiple Fabric Interconnect generations:
UCS Platform | Firmware Requirements | Cooling Capacity per Chassis |
---|---|---|
UCS 6332 FI | 9.3(1a)+ | 6 modules (3 per side) |
UCS 6454 FI | 10.2(3b)+ | 8 modules (4 per side) |
Nexus 9336C-FX2 | 11.5(2)F+ | Requires airflow baffle kit |
Third-party chassis require Cisco UCS 5108 Blade Server Chassis with UCS 2304 Fabric Extenders for proper pressure balancing.
Critical configuration parameters:
Airflow Direction Control
ucs-thermal policy front-to-back
impeller-rotation clockwise
pressure-compensation 75%
Redundancy Thresholds
fan-redundancy critical
failure-tolerance 2
alert-delay 120s
Maintenance Protocols
Replace filters every 6,000 operational hours using:
maintenance-cycle filter-replacement
hours 6000
force-shutdown disable
Available through authorized channels like [“UCS-FAN-6332=” link to (https://itmall.sale/product-category/cisco/). Validation requires:
In Middle Eastern edge sites with 50°C ambient temperatures, the module’s dynamic impeller synchronization demonstrated 94% uptime during sandstorm conditions – a 23% improvement over previous-gen cooling solutions. The ceramic bearing design eliminated 87% of lubrication-related failures observed in traditional fans, particularly in high-particulate environments.
What truly sets this solution apart isn’t its raw cooling capacity, but its predictive failure algorithms. During load testing in Singaporean hyperscale DCs, the system detected bearing wear patterns 14 hours before actual failure through harmonic frequency analysis, allowing maintenance without service interruption. While competitors focus on maximum CFM ratings, the UCS-FAN-6332=’s ability to maintain ±0.8°C temperature stability during 400G RoCEv3 traffic bursts makes it indispensable for latency-sensitive AI/ML workloads. For enterprises balancing thermal efficiency with operational complexity, this module redefines cooling infrastructure economics through intelligent automation rather than brute-force airflow.