[D] Mixed Precision Training: Difference between BF16 and FP16

What differences in model performance, speed, memory etc. can I expect between choosing BF16 or FP16 for mixed precision training? Is BF16 faster / consumes less memory, since I have seen people say it is "more suitable for Deep Learning". Why is that the case?

difference machinelearning mixed precision training