This training (in English) is dedicated to the multi-GPU scaling of the training of a Deep Learning model. The common thread of the practical aspects of the training is the optimized scaling (acceleration, distribution) of a model training on the ImageNet dataset, in PyTorch. For this, participants will be led to code and submit their calculations on Jean Zay applying the different concepts covered during the course sections.

Training details like: Prerequisites, Duration and practical info, Course content and Course materials are TBD. They will be available in the event website link below as soon as the actual dates are fixed (1st semester 2027).