Category

Compute Market Economics

These concepts describe accelerator usage, variable-priced inference capacity, prepaid compute value, and the ordering of workloads.

How to recognize this theme

Terms used when AI workloads compete for shared processing capacity.

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.

GPU Utilization Rate

GPU utilization rate measures how much of an accelerator's available processing capacity is actively used by workloads over time.

Inference Spot Market

An inference spot market offers model-serving capacity at changing prices based on short-term supply, demand, and availability.

Compute Credit

A compute credit is a unit of prepaid or allocated value that can be consumed when running training, inference, or data-processing workloads.

Workload Scheduling Queue

A workload scheduling queue orders pending compute jobs according to priority, resource requirements, deadlines, or pricing rules.