All Content tagged with Amazon SageMaker Deployment

Amazon SageMaker provides a broad selection of machine learning (ML) infrastructure and model deployment options to help meet your needs, whether real time or batch. Once you deploy a model, SageMaker creates persistent endpoints to integrate into your applications to make ML predictions (also known as inference). It supports the entire spectrum of inference, from low latency (a few milliseconds) and high throughput (hundreds of thousands of inference requests per second) to long-running inference for use cases such as natural language processing (NLP) and computer vision (CV). Whether you bring your own models and containers or use those provided by AWS, you can implement MLOps best practices using SageMaker to reduce the operational burden of managing ML models at scale.

Inhaltssprache: Deutsch

Zu filternde Tags auswählen
Sortieren nach neueste
0 Ergebnisse
Kein ErgebnisDeine Suche ergab 0 Treffer für Inhalt in der von dir gewählten Sprache: Deutsch. Besuche den Abschnitt Spracheinstellungen, um deine bevorzugte Sprache für den Inhalt zu ändern.