TensorFloat-32 or TF32 is a numeric floating point format designed for Tensor Core running on certain Nvidia GPUs.

Format

The binary format is:

• 1 sign bit
• 8 exponent bits
• 10 fraction bits (also called mantissa, or precision bits)

The total 19 bits fits within a double word (32 bits), and while it lacks precision compared with a normal 32 bit IEEE 754 floating point number, provides much faster computation, up to 8 times on a V100.^[1]