Last Updated on 2024-09-25 by Clay In the process of training and fine-tuning deep neural networks, the most important and scarce resource is undoubtedly the GPU’s VRAM. Therefore, making every bit perform at its best is a critical task. Typically, the precision of data representation is divided into the following three parts: Generally speaking, the … Continue reading Differences in Precision Representations in Deep Learning: Float32, Float16, Float8, and BFloat16