# 10 LLM Inference Optimization Techniques, Simply Explained

DevFeed: [10 LLM Inference Optimization Techniques, Simply Explained](<https://devfeed.tech/articles/10-llm-inference-optimization-techniques-simply-explained-18352.md>)

Original publisher: [Read original article](<https://levelup.gitconnected.com/10-llm-inference-optimization-techniques-simply-explained-99f79a12d084?source=rss-f10e9a50984a------2>)

Author: Dr. Ashish Bamania

Published: 2026-08-07T15:39:59Z

Content type: tutorial

Language: en

Sources: [Dr. Ashish Bamania](<https://devfeed.tech/sources/dr-ashish-bamania.md>)

Topics: [Inference](<https://devfeed.tech/topics/inference.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Caching](<https://devfeed.tech/topics/caching.md>), [Optimization](<https://devfeed.tech/topics/optimization.md>), [quantization](<https://devfeed.tech/topics/quantization.md>), [text-generation](<https://devfeed.tech/topics/text-generation.md>)

Tags: [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [caching](<https://devfeed.tech/tags/caching.md>), [data-science](<https://devfeed.tech/tags/data-science.md>), [inference](<https://devfeed.tech/tags/inference.md>), [llm](<https://devfeed.tech/tags/llm.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [optimization](<https://devfeed.tech/tags/optimization.md>), [programming](<https://devfeed.tech/tags/programming.md>), [quantization](<https://devfeed.tech/tags/quantization.md>), [techniques](<https://devfeed.tech/tags/techniques.md>), [technology](<https://devfeed.tech/tags/technology.md>), [text-generation](<https://devfeed.tech/tags/text-generation.md>), [token](<https://devfeed.tech/tags/token.md>), [tokens](<https://devfeed.tech/tags/tokens.md>)

## AI overview

This tutorial explains ten techniques for making large language model inference faster and cheaper, including KV caching, quantization, FlashAttention, and PagedAttention. The supplied excerpt begins by describing how KV caching reduces repeated attention work during autoregressive text generation.

## Source excerpt

10 techniques that make LLM inference faster and cheaper: KV caching, Quantization, FlashAttention, PagedAttention, and more. Continue reading on Level Up Coding "