AI Inference
Definition
AI inference is the moment when a trained artificial intelligence model produces a concrete result: an answer to a question, an image classification, or a sales prediction. It is the model's usage phase, as opposed to the training phase. Every time you query ChatGPT or a chatbot answers a customer, that is inference.
Why it matters for your business
Understanding inference helps control AI operating costs. Every request sent to a model costs money (token computation). For an SMB leader, it is a budget line to anticipate and optimize. Choosing the right inference model for each task can cut costs by 5x without sacrificing quality.
How we use AI Inference at GrowthPerf
We optimize inference costs in all our AI deployments by selecting the most suitable model for each use case (not always the most powerful one). Our training programs cover this topic so your teams understand AI API cost structures and can make informed choices.
Train your team on AI Inference
Our training courses cover AI Inference in depth. 1 day, 90% hands-on, OPCO-eligible.
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