According to @hyperbolic_labs, FLOP measures one floating-point operation such as an addition or multiplication, with 1 TFLOP representing 10^12 operations per second and 1 PFLOP equaling 10^15 operations per second. These benchmarks indicate how rapidly GPUs execute complex calculations, which is critical for both AI model training and high-performance computing (HPC). For crypto traders and miners, understanding FLOP rates is essential since higher GPU performance directly influences mining efficiency and the speed of AI-driven trading algorithms (source: @hyperbolic_labs).