Numerical Stability Tradeoffs
Where lower precision needs care.
Speed Has a Cost
Lower-precision Tensor Core math is fast, but fewer bits mean rounding errors. Numerical stability is the art of keeping results trustworthy. ⚖️
What Rounding Error Is
Each low-precision value is rounded to the nearest representable number. That tiny rounding error is harmless once but can pile up over many steps.
All lessons in this course
- What Tensor Cores Compute
- Mixed Precision: FP16, BF16, TF32
- The WMMA Fragment API
- Numerical Stability Tradeoffs