The simplest definition is that training is about learning something, and inference is applying what has been learned to make predictions, generate answers and create original content. However, ...

The focus of artificial-intelligence spending has gone from training models to using them. Here’s how to understand the ...

The time it takes to generate an answer from an AI chatbot. The inference speed is the time between a user asking a question and getting an answer. It is the execution speed that people actually ...

“I get asked all the time what I think about training versus inference – I'm telling you all to stop talking about training versus inference.” So declared OpenAI VP Peter Hoeschele at Oracle’s AI ...

Ahead of Nvidia Corp.’s GTC 2026 this week, we reiterate our thesis that the center of gravity in artificial intelligence is ...

As AI workloads move from training to real-world inference, Arrcus CEO says, network fabrics must evolve to keep up with the demands.

AI infrastructure is undergoing somewhat of an evolution, with the shift from training to inference meaning computational ...

FriendliAI — founded by the researcher behind continuous batching, the technique at the core of vLLM — is launching InferenceSense, a platform that fills idle neocloud GPU capacity with paid AI ...