# What is FP8?

> 8-bit Floating Point

It is a data format that represents numbers in a smaller footprint to speed up artificial intelligence calculations.

## Overview
FP8 simplifies the way computers process numbers, allowing them to consume less memory and perform operations faster. Since AI models perform massive calculations, this small format significantly increases efficiency.

*Analogy: Instead of writing a letter in full detail, it's like just summarizing it with keywords and sending it faster.*

## How it works
Numeric values ​​are converted to FP8 format while the model is trained or run.

## Where it is used
It is used in training and running (inference) artificial intelligence models.

## Commonly confused with
Can be confused with Quantization; FP8 is actually a type of quantization.

## Frequently asked questions
**Does it reduce the quality of the model?**
When applied correctly it is almost not noticeable, but with excessive use the quality may decrease.

**Why wasn't it used before?**
Old hardware did not support this format, it became widespread with new generation chips.


## Related terms
- [Quantization](/en/dictionary/quantization/)
- [Inference](/en/dictionary/inference/)
- [AI Models](/en/dictionary/ai-models/)

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Source: TreScout Dictionary · https://trescout.com/en/dictionary/fp8/