FP32 stands for "32-bit floating point," a data format used in computing to represent real numbers. It consists of three parts: a sign bit, an exponent, and a fraction (or mantissa). This format allows for a wide range of values, making it suitable for various applications, including graphics and scientific calculations. In the context of machine learning and graphics processing, FP32 is commonly used for training models and rendering images. While it provides a good balance between precision and performance, newer formats like FP16 and BF16 are gaining popularity for specific tasks, offering reduced memory usage and faster computations.