Batch Size
Batch size is the number of requests or tokens processed together in one serving step.
Category
These terms describe how systems batch requests, measure speed, and stay within capacity.
Words for performance and capacity in model serving.
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.
These entries are vocabulary notes for learning. They are not project endorsements, token recommendations, exchange rankings, or trading signals.
Batch size is the number of requests or tokens processed together in one serving step.
Inference latency is the time between sending a prompt and receiving a model's output.
Throughput is the amount of model work a serving system can complete over a given period.
Utilization rate is the portion of available compute capacity that is actively being used.