AI Dictionary › AI Fundamentals
FLOPS stands for Floating Point Operations Per Second and measures the computing speed of a processor or system. Floating point operations are calculations with decimal numbers, the daily bread of artificial intelligence. It is like measuring how many bricks a mason lays per second: more FLOPS, more slices of computation each second. The magnitudes are enormous: teraFLOPS (a trillion) or petaFLOPS (a quadrillion). Beware the ambiguous plural: "FLOPs" without a resolved trailing s instead means the total number of operations needed to train a model, not a speed.
FLOPS matter because they quantify the power needed to train or run a model. They are the yardstick for estimating costs, times and emissions: training large models takes billions of billions of operations.
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