Can Karakus

Amazon SageMaker offers the fastest and easiest methods for training large deep learning models and datasets. Using partitioning algorithms, SageMaker’s distributed training libraries automatically split large deep learning models and training datasets across AWS GPU instances in a fraction of the time it takes to do manually.

State-of-the-art deep learning models have grown rapidly in size, driven by the demand for more powerful machine learning (ML) models. As a result, training large deep learning models can become memory-constrained, where the memory of a single GPU becomes a bottleneck.