🗃️ Observability
3 items
📄️ SageMaker Managed MLflow
Amazon SageMaker offers a managed MLflow capability for machine learning (ML) and generative AI experimentation. This capability makes it easy for data scientists to use MLflow on SageMaker for model training, registration, and deployment. Admins can quickly set up secure and scalable MLflow environments on AWS. Data scientists and ML developers can efficiently track ML experiments and find the right model for a business problem.
🗃️ Task Governance
1 item
🗃️ HyperPod Training Operator
2 items
📄️ Installing the Hyperpod CLI
This tool is currently under maintenance. Some features may not work as expected. Please check the official repository for the latest updates.