A primer on key AI LLM concepts — KV cache, weights, quantization, and how inference actually works

Technical guide examines the mechanics of model inference and execution

By GPU Data Hub Desk · GPU Data Hub·Editorial standards·30 Oct 2026, 13:30

A primer on key AI LLM concepts — KV cache, weights, quantization, and how inference actually works

An introductory guide details foundational concepts governing large language model inference and execution. The analysis explores technical components including key-value caching, neural network weights, and quantization techniques to explain operational mechanics.

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This summary was written by the GPU Data Hub desk from reporting published by Tom's Hardware on 30 Oct 2026, 13:30. Read the full article at the original publisher.

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LLM inference quantization KV cache model architecture

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