Differences in Precision Representations in Deep Learning: Float32, Float16, Float8, and BFloat16
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.
Read More »Differences in Precision Representations in Deep Learning: Float32, Float16, Float8, and BFloat16