GPU Cluster Utilization
GPU cluster utilization measures how much available accelerator capacity is actively used for training, inference, or related workloads.
Category
Inference Capacity Economics
These concepts connect AI model serving with capacity planning, latency, and compute utilization.
How to recognize this theme
Infrastructure terms used when serving AI models at scale.
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 Batching
Inference batching groups model requests so hardware can process them more efficiently, often with a latency tradeoff.
Serving Latency
Model serving latency is the time between a request reaching an AI serving system and the model response being returned.
Compute Reservation
A compute reservation is an agreement or allocation that keeps infrastructure capacity available for expected future workloads.