How can I train a single LSTM model with multiple datasets.

I have 1000 datasets of many devices eg: device1.csv.....deviceN.csv. I cannot merge them together because of varying values and time component although they share the same features.

Each dataset has device voltage with respect to its age. I want to train one LSTM model with all the datasets. Should I train in for loop?