A term used with early AI applications, known as "expert systems." Today, "inference" without the "engine" is commonly used to refer to the software that generates answers for the user. In the 1960s, ...

AI training is about acquiring knowledge and inference is applying that knowledge to make predictions, generate answers and create original content. However, although a lot goes into both stages, ...

Shift from AI training to real-time inference requires distributed, CPU-heavy infrastructure to handle agentic workloads.

The global conversation around artificial intelligence (AI) often focuses on headline-grabbing breakthroughs, the launch of a new large language model (AI systems trained on huge volumes of text), a ...

Inference is the process of using observations, evidence and reasoning to formulate understanding and reach conclusions. Often referred to as reading between the lines, inference involves using prior ...

Learn how private off-chain AI inference uses ZKML to protect sensitive data, verify AI outputs, and enable secure AI ...

Data center operator Equinix is working with Nvidia and Together AI on an Inferencing solution. Described as a distributed AI inference platform, the Inference Exchange uses Nvidia's Enterprise ...