Gentle introduction to GPUs inner workings
On the same basis, it would also help if you could provide a comparison between GPUs commonly used for ML. Tesla k80, P100, T4, V100 and A100. How has the architecture evolved to make the A100 significantly faster? Is it just the 80GB RAM, or there is more to it from an architecture standpoint?