Most machine learning researchers train their models on a single machine (non-distributed). In this video we will compare non-distributed training (Old Way) to distributed training with Engine ML. On a single GPU, this experiment will take 2.5 days to run. Distributing this experiment across 128 GPUs cuts that time to 30 minutes.