Infrastructure
Inference
The moment when a trained AI model makes a prediction on new data, using what it learned to answer real questions.
Definition
The process of using a trained model to generate predictions on new, unseen data. Inference costs (compute, latency, throughput) are a major consideration for production AI deployments.
Why it matters
Training is a one-time cost; inference runs forever. Optimizing inference costs is often more important than training costs.
Related terms in Infrastructure
API
A digital plug or messenger that lets two different software programs talk to each other.
API Gateway
The security guard at the front door of your software that checks IDs and directs traffic.
Cloud Computing
Renting powerful computers over the internet instead of buying and keeping them in your own office.
Edge AI
Running AI directly on the device (phone, camera, car) instead of sending data to the cloud, faster and more private.
From vocabulary to outcomes
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Knowing the term is step one. Deploying it inside a revenue architecture that compounds is what Sophizo builds.
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