RunAIHow.com logoRunAIHow.comLearn How To Run LocallyUpdated: OCTOBER 2026

Blog · Hardware Building · September 20, 2026 · 7 min read

PSUs, Cooling, and 24/7 Inference: Building a PC That Can Run AI All Day

Workstation PC cooling and power setup for AI workloads

Gaming stresses a PC in short bursts; local AI holds the GPU at 100% power draw for hours. A machine that plays games all weekend without complaint can still throttle, whine, or trip its power supply during an overnight batch of inference. Here is how to build (or upgrade) for sustained loads.

Power supply: size for the peak, quality for the marathon

Cooling: sustained load changes the rules

Noise and placement

Under sustained load, fans sit at high RPM for hours. If the machine shares your room, prefer larger, slower-spinning case fans, set a sensible custom fan curve, and consider placing the rig where the hum does not matter. Some builders deliberately run slightly lower power limits — trading 5–10% speed for a dramatically quieter, cooler machine.

The electricity connection

Remember that TDP is a running cost, not just a cooling spec: a 450 W card at 200 hours a month adds roughly $13.50 at $0.15/kWh. Our Hardware panel shows TDP for every card, and the crossover chart turns it into a monthly bill you can compare against cloud pricing.

Build it once, keep it cool, and the same machine will chew through models around the clock for years — which is exactly the usage pattern where local inference shines.