Word
inference cost
Definition
compound. the amount of computing power, time, or money you need to run an AI model after it has been trained. You pay this cost every time the AI answers a question or completes a task.
compound. the computational resources—such as GPU cycles, memory, and latency—required to execute a pre-trained machine learning model to produce an output. It is distinct from training cost and is a critical metric for scaling AI applications.
Examples
“High inference cost makes it expensive to run this chatbot for millions of users.”
“The engineering team optimized the model's architecture to reduce inference cost and improve response times for mobile users.”
“While the initial training expenditure was significant, the ongoing inference cost proved to be the primary barrier to the project's long-term commercial viability.”
Examples
simple
“High inference cost makes it expensive to run this chatbot for millions of users.”
contextual
“The engineering team optimized the model's architecture to reduce inference cost and improve response times for mobile users.”
complex
“While the initial training expenditure was significant, the ongoing inference cost proved to be the primary barrier to the project's long-term commercial viability.”
Usage
typically used as an uncountable noun in technical discussions regarding AI deployment and cloud computing budgets.
Teaching tip
anchor the term by contrasting it with 'training cost'; explain that 'inference' is the phase where the AI 'thinks' or 'predicts' based on what it already knows.
Scan code
englishreference.com/q/inference-cost