AWS Marketplace

Category: PyTorch on AWS

Track machine learning experiments using InfinStor MLflow with Amazon SageMaker Studio

Track machine learning experiments using InfinStor MLflow with Amazon SageMaker Studio

In this post, I show how to use InfinStor MLflow with Amazon SageMaker Studio to experiment, collaborate, train, and run inferences using this ML platform. With this solution, you do not need to write special code for experiment tracking or model management. You can also share experiments and models with authorized colleagues. SageMaker Studio provides the Notebook and remote IPython kernel portion of the solution, and InfinStor MLflow provides the experiment tracking and model management.

Using TorchServe to list PyTorch

Using TorchServe to list PyTorch models at scale in AWS Marketplace

Recently, AWS announced the release of TorchServe, a PyTorch open-source project in collaboration with Facebook. PyTorch is an open-source machine learning framework created by Facebook, which is popular among ML researchers and data scientists. Despite its ease of use and “Pythonic” interface, deploying and managing models in production is still difficult as it requires data scientists to […]