Data Centers.
Power electronics for the AI compute era.
High-density drive and power conversion systems for hyperscale and edge data centers. SiC-based AFE inverters, 48V bus architectures, and cooling drive platforms designed for AI infrastructure power density and reliability requirements.
Why data centers need
purpose-built power electronics.
Hyperscale data centers now consume 50–200 MW per campus. AI compute clusters demand instant power scaling, ultra-high power density, and sub-millisecond fault response. General-purpose industrial VFDs are not designed for this environment. Power Flux AI builds drives and power conversion systems optimized specifically for data center thermal and power quality constraints.
"The AI infrastructure buildout is the largest power electronics market in a generation. Data center operators need drives and power systems built for their environment — not adapted from industrial catalogues."
Purpose-built for
this industry.
CRAC & Cooling Tower Drives
SiC variable speed drives for Computer Room Air Conditioning (CRAC) units, cooling towers, and chilled water pumps. High efficiency at partial load — critical for PUE optimization. IEEE 519 compliant, no external harmonic filters.
Active Front End — UPS Integration
AFE rectifier stages for UPS and power distribution. Unity power factor, THDi <3%, bidirectional for battery storage integration. Compatible with 480V, 400V, and 415V distribution architectures.
48V Rack Power Systems
48V bus power conversion for high-density server racks. BLDC fan drives, liquid cooling pump drives, and power shelf converters designed for OCP and ORv3 rack standards.
High-Availability Design
Redundant gate drive architectures, active thermal management, predictive fault detection via digital twin. Designed for 99.999% availability targets. SIL2 functional safety for critical cooling systems.
GPU Cluster Power
Power distribution and cooling drives for GPU compute clusters. Handles the rapid power transients inherent in AI training workloads. Fast dynamic response — AI-FOC with <1 ms torque response.
Digital Twin & PUE Analytics
Real-time PUE monitoring, cooling efficiency analytics, and predictive maintenance. Python + InfluxDB + cloud IoT. Integrates with DCIM platforms via standard APIs.
What we deliver.
Build drives for the AI era.
Start with an Architecture Sprint — technical evaluation of your data center power and cooling requirements, proposed architecture, and a 90-day prototype roadmap.