FP64, or double-precision floating-point format, is a numerical representation used in computing to handle very large or very small numbers with high accuracy. It uses 64 bits to store each number, allowing for a greater range and precision compared to single-precision formats like FP32, which only use 32 bits. This makes FP64 particularly useful in scientific calculations, financial modeling, and simulations where precision is critical. In programming and data analysis, FP64 is often utilized in languages and libraries that require accurate mathematical computations, such as Python, C++, and MATLAB. Many modern GPUs and CPUs support FP64 operations, enabling efficient processing of complex algorithms in fields like machine learning and computer graphics.