First Look Ampere Based Training for Deep Learning on Windows and Tensor Flow 2. 4

The new Ampere line of GPUs offers considerable performance increases beyond just increases in RAM and cores. More efficient data representation, in the form of TF32 can sometimes lead to a 10X speed up, particularly on the latest versions of TensorFlow and PyTorch. In this video, I continue to explore my new NVIDIA A6000 GPU and compare results between the TITAN RTX and the A6000. Out of the box, with no code changes, there is a considerable speed increase. Useful Blog Posts on TF32 from NVIDIA Code used in this video GPU Used in this video: Follow Me on Social Media GitHub: Twitter: