Modern AI development, especially when it comes to the training of Deep Learning models quickly reaches the performance limits of standard PC and notebook hardware. AIME GPU servers are the perfect solution with optimized multi GPU hardware for this task to enable fastest possible turnaround times. Development on a local machine is straight forward but how to use to the power of an AIME GPU server conveniently?
To be able to run your code with the full performance of the AIME GPU Servers, you first need to get the code and data to the storage of the remote machine. The most basic way to achieve this, is to copy your finished code and data to the remote machine.