"how numbers are stored and used in computers"
A 64-bit format offering very high precision and a wide dynamic range, commonly used in scientific computing.
FP64
A 32-bit format balancing precision and performance, widely used in general-purpose computing and graphics.
FP32
Optimized for memory efficiency and speed with lower precision and dynamic range, used in AI and graphics.
FP16
Same exponent size as FP32 but reduced mantissa, enabling faster computation while retaining dynamic range.
BF16
A low precision format for maximum efficiency, mainly used in deep learning models for training and inference.
FP8
An extremely compact format used in specialized machine learning and graphics applications.
FP4