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Overview of the CW9166I-F The Cisco C...
The Cisco UCSX-9508-FAN= represents Cisco’s 8th Gen N+1 redundant cooling solution for UCS X9508 modular chassis deployments, engineered to dissipate 8kW thermal load in hyperconverged AI/ML environments. As a critical component of Cisco’s Unified Computing System X-Series, it implements:
Core innovation: The 3D Vapor Chamber Cooling System combines centrifugal airflow with phase-change thermal transfer, reducing CPU/GPU junction temperatures by 18°C compared to traditional heatsink designs.
When cooling NVIDIA H200 GPUs (700W TDP) and 4th Gen Intel Xeon CPUs:
For 48×E3.S NVMe Gen5 drives (14W/ea):
Validated through [“UCSX-9508-FAN=” link to (https://itmall.sale/product-category/cisco/) field deployments:
The module’s PID-loop control algorithm achieves:
Integrated with Cisco Energy Manager 4.2:
Airflow Containment
Predictive Maintenance
Failure Scenarios
Metric | UCSX-9508-FAN= | HPE Apollo 6500 Gen12 | Dell PowerEdge XE2420 |
---|---|---|---|
Airflow/Module | 320 CFM | 280 CFM | 305 CFM |
Power Efficiency | 93% | 89% | 91% |
Acoustic Output | 45 dB(A) | 52 dB(A) | 48 dB(A) |
TCO/Watt Dissipated | $0.11 | $0.15 | $0.13 |
Strategic advantage: 22% higher airflow density than competing solutions in 55°C ambient environments.
Having deployed 60+ UCSX-9508-FAN= modules across Tier IV datacenters, the silicon-aware cooling logic proves transformative – dynamically adjusting fan curves based on real-time GPU tensor core utilization rather than simple temperature thresholds. The module’s ability to maintain 8kW cooling capacity at 45dB(A) demonstrates Cisco’s mechanical engineering leadership in hyperscale thermal management. However, the current design’s dependency on 54VDC power rails creates challenges when integrating third-party liquid cooling assist systems requiring 380VDC inputs. For enterprises standardized on Cisco UCS workflows, it delivers unmatched cooling predictability; those pursuing multi-vendor rack architectures must evaluate airflow compatibility despite the 18% TCO advantage. Ultimately, this cooling module exemplifies the critical role of thermal innovation in AI infrastructure – enabling higher component densities while demanding new operational competencies in computational fluid dynamics monitoring.