I am a Big Data Science Masters student, I am curious to know more about what kind of GPU resource I would requires to train around 10000 models simultaneously. For example, there are 10000 users whose behavior is supposed to be monitored using Deep neural network. I have two baselines
- Create a single model for all users
- Create one model for every individual user
I’d prefer 2 over 1 if there exist a GPU which can handle multiple models. I understand the cost and trade-offs behind this.
Any help would highly be appreciated!
Thanks in advance!