Use your own training image in a private Docker registry with Amazon SageMaker

Amazon SageMaker Training reduces the time and cost to train and tune machine learning (ML) models at scale without the need to manage infrastructure. In addition to providing built-in libraries and tools, SageMaker works with popular open-source foundation models such as GPT, BERT, and DALLĀ·E and ML frameworks, such as PyTorch and TensorFlow. We are excited to announce that SageMaker Training now supports using images with pre-installed frameworks or algorithms stored in your private Docker registry to build ML models.

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