SemiAnalysis • 13637 implied HN points • 11 Jan 24
- Quantization of neural networks has significantly contributed to the efficiency improvements in AI hardware over the past decade.
- The choice of number formats, like INT8 and FP8, has a significant impact on silicon efficiency, power requirements, and accuracy in AI hardware.
- Different number formats, like log number systems and block number formats, are being explored to balance accuracy and efficiency in neural network training and inference.