Industries — AI Infrastructure

AI Infrastructure.
Power systems for the intelligence revolution.

Power electronics purpose-built for AI training clusters, inference servers, and edge AI hardware. Ultra-high-density power conversion, GPU rack power systems, liquid cooling drives, and digital twin monitoring for the next generation of compute infrastructure.

500 kW
Cluster Power Range
48 V
AI Rack Bus
<1 ms
Transient Response
~90
Days to Prototype
The Problem

AI workloads demand
power electronics designed for them.

AI training workloads generate power transients unlike any industrial application — instantaneous load swings of 50–80% as GPU clusters start and stop compute jobs. Standard UPS and drive systems are not designed for this. Power Flux AI builds power conversion and cooling drive systems optimized for AI compute profiles: fast transient response, ultra-high power density, and intelligent load management that anticipates demand from workload schedulers.

"Every major hyperscaler is now designing custom power electronics for AI infrastructure. Power Flux AI brings that capability to Tier-2 and Tier-3 data centers, cloud providers, and AI hardware manufacturers who cannot afford a Google-scale power team."

Solutions

Purpose-built for
this industry.

GPU Power

AI Cluster Power Distribution

High-density power conversion for GPU and TPU compute clusters. Handles instantaneous load transients from AI workload scheduling. 48V bus architecture with fast dynamic response <1 ms.

GPU / TPU48V Bus<1ms TransientWorkload-Aware
Cooling

Liquid Cooling Drive Systems

Variable speed drives for direct liquid cooling pumps and immersion cooling systems. Precision flow control for GPU cold plate cooling. Integrates with workload schedulers for predictive cooling.

Direct LiquidImmersion CoolingPrecision FlowGPU Cold Plate
Edge AI

Edge Inference Power Systems

Compact, ruggedized power systems for edge AI hardware — autonomous vehicles, smart cameras, industrial robots. Wide input range, high efficiency at light load, fanless thermal design.

Edge AIFanlessWide InputLight Load Efficiency
Storage

NVMe & Storage Array Power

Power conversion for all-flash NVMe storage arrays and persistent memory systems. High efficiency, low EMI, hold-up time compliance for sudden power loss protection.

NVMeAll-FlashHold-Up TimeLow EMI
Monitoring

AI-Native Digital Twin

Digital twin that integrates directly with AI cluster management software. Real-time power consumption per GPU rack, cooling efficiency, and predictive maintenance alerts. REST API for DCIM integration.

AI-NativePer-Rack MonitoringREST APIDCIM Integration
Efficiency

PUE Optimization Platform

Power Usage Effectiveness monitoring and optimization. AI-driven cooling control that correlates compute workload with cooling demand — reducing PUE from 1.4–1.6 toward 1.1.

PUE OptimizationAI-Driven CoolingWorkload Correlation1.1 PUE Target
Services Applied

What we deliver.

AI Cluster Power Development
High-density 48V power conversion with <1 ms transient response. Designed for GPU and TPU cluster load profiles.
Liquid Cooling Drive Systems
Variable speed drives for direct liquid cooling and immersion cooling systems integrated with workload schedulers.
Edge AI Power Systems
Compact, ruggedized power systems for autonomous vehicles, smart cameras, and industrial edge AI hardware.
AI-Native Digital Twin
Real-time power and cooling monitoring integrated with AI cluster management software via REST API.
PUE Optimization
AI-driven cooling control correlated with compute workload to minimize Power Usage Effectiveness.

Power the intelligence revolution.

Start with an Architecture Sprint — your AI infrastructure power and cooling requirements, proposed architecture, and a 90-day prototype roadmap.