SageMaker Archives - Page 2 of 4

Run ML inference on unplanned and spiky traffic using Amazon SageMaker multi-model endpoints

Amazon SageMaker multi-model endpoints (MMEs) are a fully managed capability of SageMaker inference that allows you to deploy thousands of

Today, we are excited to announce that Code Llama foundation models, developed by Meta, are available for customers through Amazon

With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have

Pose estimation is a computer vision technique that detects a set of points on objects (such as people or vehicles)

This post is co-written with Santosh Waddi and Nanda Kishore Thatikonda from BigBasket. BigBasket is India’s largest online food and

Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML)

This post is co-written with Kostia Kofman and Jenny Tokar from Booking.com. As a global leader in the online travel

In 2021, the pharmaceutical industry generated $550 billion in US revenue. Pharmaceutical companies sell a variety of different, often novel,

Launched in 2021, Amazon SageMaker Canvas is a visual, point-and-click service for building and deploying machine learning (ML) models without

This is a guest post co-authored by Ajay K Gupta, Jean Felipe Teotonio and Paul A Churchyard from HSR.health. HSR.health