GLOSSARY TERM
What is Mixed Precision Training?
Utilizing different numerical precisions to accelerate deep learning training.
Mixed precision leverages both 16-bit and 32-bit floating-point types during training. It drastically reduces memory bandwidth requirements and speeds up arithmetic operations while maintaining mathematical stability and model accuracy.
Accelerate Compute
Halve your training times with automated mixed precision MLOps scaling.