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Train deep learning models faster with Amazon SageMaker

State-of-the-art models are rapidly increasing in size and complexity. These models can be difficult to train because of cost, time, and skill sets required to optimize memory and compute. Amazon SageMaker Training Compiler is a DL compiler that accelerates model training by up to 50% through optimizations that use memory and compute resources on GPUs more efficiently, helping you spend less time and fewer resources on model training.

In this session, you’ll learn about compiler technologies such as operator fusion and how SageMaker Training Compiler can be used to accelerate your training jobs.

Click here and download the presentation deck to learn more!

Previous Video
Spin up Jupyter notebooks at scale and increase your productivity
Spin up Jupyter notebooks at scale and increase your productivity

In this session, learn how to use fully managed Jupyter notebooks complemented by an in-depth demonstration...

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Implementing MLOps practices with Amazon SageMaker
Implementing MLOps practices with Amazon SageMaker

Explore the features in Amazon SageMaker Pipelines that help you increase automation, track data lineage, c...

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