FP16 Precision
A half-precision 16-bit floating-point data format providing wide dynamic range for deep learning.
FP16 uses 1 sign bit, 5 exponent bits, and 10 mantissa bits. It is supported by Tensor Cores to speed up matrix multiplication while maintaining numerical accuracy.
Historical figures and technical concepts for informational purposes only. Not technical, professional, legal, or financial advice. Sources: Official Documentation.