How Contentsquare reduced TensorFlow inference latency with TensorFlow Serving on Amazon SageMaker

In this post, we present the results of a model serving experiment made by Contentsquare scientists with an innovative DL model trained to analyze HTML documents. We show how the Amazon SageMaker TensorFlow Serving solution helped Contentsquare address several serving challenges. Contentsquare’s challenge Contentsquare is a fast-growing French technology company Read more…

Host multiple TensorFlow computer vision models using Amazon SageMaker multi-model endpoints

Amazon SageMaker helps data scientists and developers prepare, build, train, and deploy high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML. SageMaker accelerates innovation within your organization by providing purpose-built tools for every step of ML development, including labeling, data preparation, feature Read more…