Using AWS SageMaker Endpoint
To empower demanding workloads and specialized use cases with tailored compute resources, we leverage both managed HPC platforms on AWS and Azure as well as customizable virtual machines. This approach offers the best of both worlds.
What is SageMaker Endpoint?
Amazon SageMaker is a fully managed machine learning service that enables data scientists and developers to build, train, and deploy machine learning models at scale. One of the key features of SageMaker is the ability to deploy machine learning models as endpoints, which can be invoked to make predictions on new data.
Benefits of SageMaker Endpoint
- Scalability:
