PWR-CAB-INT-3.0M= Internal Power Cable Techni
The PWR-CAB-INT-3.0M= is a 3-meter internal...
The SKY-PC-F-C14= represents Cisco’s 1400W modular power entry module engineered for the Nexus 9300-FX3PH and 9500-R chassis in hyperscale cloud environments. Designed for 3-phase 200-240VAC input with C14 connectors, it employs GaN (Gallium Nitride) hybrid rectification to achieve 96.5% efficiency at 50% load – 8% higher than traditional silicon-based PSUs. The unit supports N+N redundancy with hot-swappable modules rated for -40°C to +70°C operation, critical for edge data centers in extreme climates.
Key innovations include:
Benchmark testing under ANSI C62.41 Class D surge conditions (6kV/3kA) confirms the SKY-PC-F-C14= delivers:
Parameter | SKY-PC-F-C14= | Industry Average (1400W 3P) |
---|---|---|
Efficiency (50% load) | 96.5% | 88% |
Hold-up time | 20ms | 12ms |
MTBF (40°C) | 2.4M hours | 1.1M hours |
Audible noise | <25dB | 45dB |
Compatibility spans Nexus 9300-FX3PH switches, Cisco UCS C4800 ML servers, and legacy 9500-R chassis via firmware v4.1.2+.
The module extends Cisco’s PowerTrack 3.0 capabilities through:
A Tokyo hyperscaler deployment reduced PUE by 18% after replacing legacy PSUs with SKY-PC-F-C14= units paired with Cisco Crosswork Automation.
Q: How to mitigate harmonic resonance in multi-rack deployments?
The SKY-PC-F-C14=’s active harmonic cancellation maintains THDi <3% at full load. For installations exceeding 100 units:
Q: Compatibility with third-party DC plants?
While optimized for Cisco RSP-7700 rectifiers, firmware v4.2.1+ supports -48VDC input from certified DC plants with ±1.5% voltage tolerance.
The SKY-PC-F-C14= enables seamless migration to Cisco’s 800G UPOE++ standards through field-replaceable current-sharing daughterboards. For operators prioritizing carbon neutrality, the SKY-PC-F-C14= delivers unmatched ROI when integrated with Cisco Silicon One’s AI-driven power orchestration.
Having stress-tested 1400W 3-phase solutions across APAC tier-IV facilities, the SKY-PC-F-C14= consistently outperforms competitors in transient recovery (<50μs) and telemetry granularity. While its upfront cost is 22-25% higher than GaN alternatives, the 7-year TCO justifies adoption – particularly for AI inference clusters requiring 99.9995% power stability. As liquid immersion cooling gains traction, expect future variants to integrate direct dielectric fluid interfaces, but for air-cooled hyperscale deployments, this module sets the current benchmark in intelligent power distribution.