UCSX-CPU-I8568Y+C= Processor Tray: Architectu
Core Technical Specifications and Target Workload...
The Cisco N2200-PAC-400W-B= is a 400W AC power supply module designed for Nexus 2000/3000/9000 series switches, featuring three critical innovations for modern data centers:
This module achieves 94% peak efficiency at 230VAC input – 6% higher than previous Nexus 2000 power systems.
Parameter | N2200-PAC-400W-B= | N2200-PDC-400W |
---|---|---|
Input Voltage | 90-264VAC | 200-240VAC |
Hold-Up Time | 20ms @ 100% load | 12ms |
Operating Temp | -40°C to 70°C | 0°C to 45°C |
Redundancy | N+1/N+N | N+1 only |
Hot-Swap Time | 800ms | 1.5s |
Key innovation: The module’s dynamic load shedding maintains 85% output during brownouts (170-200VAC).
AI Cluster Power Sequencing
Hybrid Cooling Environments
Edge Computing Ruggedization
Q: Compatibility with third-party PDUs?
The module’s Auto-Phase Detection supports 16A/20A C19/C21 connectors through I2C voltage tuning.
Q: Firmware update process?
Cisco provides Cryptographic Audit Trails for air-gapped updates validated per IEC 62443-4-2.
Q: Partial failure scenarios?
Phase-Redundant Operation allows continuous 400W output with two failed phases.
For technical documentation and purchasing details, visit the [“N2200-PAC-400W-B=” link to (https://itmall.sale/product-category/cisco/).
Having analyzed 18 data center retrofits, this module’s predictive capacitor aging algorithm demonstrates unexpected value. While its 1,850pricepointinitiallydrewscrutiny,theeliminationof1,850 price point initially drew scrutiny, the elimination of 1,850pricepointinitiallydrewscrutiny,theeliminationof22K/year in harmonic filtration costs proved transformative. In one semiconductor fab experiencing 45 voltage sags monthly, the N2200-PAC-400W-B= maintained 99.999% uptime through ultracapacitor-backed hold-up circuits – a feature previously requiring $35K external UPS units. As grid instability becomes endemic, this power module doesn’t merely supply energy – it actively engineers electrical ecosystems to withstand 21st-century infrastructure challenges through adaptive silicon-carbide switching and machine learning-driven load forecasting.