GPU over-provisioning drives up infrastructure costs

To avoid capacity shortages during traffic peaks, organizations over-provision GPUs by 2-3x more than actually needed, adding hundreds of thousands of dollars to annual AI infrastructure costs

Implement dynamic GPU scaling with fast cold starts to match actual demand. Monitor GPU utilization rates - target 70% or higher average utilization. Use autoscaling and scale-to-zero capabilities to eliminate waste from idle resources.