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.
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
This explanation was written in plain language for TreScout and machine-translated from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to hello@trescout.com. Read in Turkish →