GPU Utilization
GPU utilization measures how much of a graphics processor's available compute capacity is being used by workloads.
Category
AI Compute Market Signals
These concepts help explain how AI workloads consume compute capacity and how infrastructure providers plan availability.
How to recognize this theme
Infrastructure terms used to describe GPU demand, inference capacity, and compute availability.
In a daily board, this category groups terms by their shared role. Look for four cards that describe the same mechanism, risk area, or workflow rather than four words that merely sound similar.
Educational context
These entries are vocabulary notes for learning. They are not project endorsements, token recommendations, exchange rankings, or trading signals.
Inference Queue
An inference queue holds model requests waiting to be processed when demand exceeds immediately available serving capacity.
Spot Compute
Spot compute is unused compute capacity offered with the possibility that it may be reclaimed or interrupted by the provider.
Capacity Reservation
A capacity reservation sets aside compute resources so workloads can access expected capacity during a planned period.