What is Mixed Precision Training?

Mixed precision training is a technique that uses lower-precision floating point (typically FP16 or BF16) for most computations while keeping a master copy of weights in full FP32 precision, dramatically reducing memory and accelerating training on modern GPUs. The platform strengthen