Types d'instances Amazon SageMaker
Amazon SageMaker fournit un large éventail de types d'instances optimisés pour différents cas d'utilisation de l'apprentissage automatiques (ML). Ces types d'instances correspondent à différentes combinaisons en matière de capacités de CPU, de GPU, de mémoire, de stockage et de mise en réseau. Vous pouvez ainsi choisir un ensemble de ressources parfaitement adapté à vos applications pour créer, former et déployer des modèles d'apprentissage automatique (ML). Chaque type d'instance inclut une ou plusieurs tailles d'instance, ce qui vous permet de mettre à l'échelle vos ressources en fonction des exigences de la charge de travail ciblée.
相關推薦
Types d'instances Amazon SageMaker
Amazon SageMaker fournit un large éventail de types d'instances optimisés pour différents cas d'utilisation de l'apprentissage automatiques (ML).
How to use common workflows on Amazon SageMaker notebook instances
Amazon SageMaker notebook instances provide a scalable cloud based development environment to do data science and machine learning. This blog post
Tarification d'Amazon SageMaker
Pour la création, la formation et le déploiement de vos modèles avec Amazon SageMaker, des instances ML à la demande vous permettent de payer votr
Amazon SageMaker Instance Types
Amazon SageMaker provides a selection of instance types optimized to fit different machine learning (ML) use cases. Instance types comprise varyi
PyTorch 1.0 preview now available in Amazon SageMaker and the AWS Deep Learning AMIs
Amazon SageMaker and the AWS Deep Learning AMIs (DLAMI) now provide an easy way to evaluate the PyTorch 1.0 preview release. PyTorch 1.0 adds seam
Segmenting brain tissue using Apache MXNet with Amazon SageMaker and AWS Greengrass ML Inference
In Part 1 of this blog post, we demonstrated how to train and deploy neural networks to automatically segment brain tissue from an MRI scan in a s
Amazon SageMaker Neural Topic Model now supports auxiliary vocabulary channel, new topic evaluation metrics, and training subsam
In this blog post, we introduce three new features of the Amazon SageMaker Neural Topic Model (NTM) that are designed to help improve user product
Accelerate model training using faster Pipe mode on Amazon SageMaker
Amazon SageMaker now comes with a faster Pipe mode implementation, significantly accelerating the speeds at which data can be streamed from Amazon
AWS Announces New Amazon SageMaker Capabilities and Enhancements
Amazon Web Services recently announced that users now have the ability to build an Amazon SageMaker notebook from the AWS Glue Console and then connect it
Training models with unequal economic error costs using Amazon SageMaker
Many companies are turning to machine learning (ML) to improve customer and business outcomes. They use the power of ML models built over “big dat
Amazon SageMaker AI Service
Amazon revealed its SageMaker AI service today, allowing its customers to train machine learning models at massive scale while keeping costs down. Amazon u
Amazon SageMaker automatic model tuning produces better models, faster
Amazon SageMaker recently released a feature that allows you to automatically tune the hyperparameter values of your machine learning model to pro
Predictive Data Science with Amazon SageMaker and a Data Lake on AWS
This Quick Start builds a data lake environment for building, training, and deploying machine learning (ML) models with Amazon SageMaker on the Am
Machine Learning with Amazon SageMaker and Cloudwick
Cloudwick’s Machine Learning with Amazon SageMaker Platform on Amazon Web Services (AWS) helps developers and business users of all skillsets leve
Amazon SageMaker Developer Resources
This tech talk introduces you to the collection of distributed streaming ML algorithms that come with Amazon SageMaker. You will learn about
Questions fréquentes (FAQ) sur Amazon SageMaker
Q : Quels algorithmes le service Amazon SageMaker utilise-t-il pour générer des modèles ? Amazon SageMaker comprend des algorithme
Amazon SageMaker Features
In just one click, you can access a fully managed machine learning notebook environment using the popular Jupyter open source notebook format.
Amazon SageMaker – Accelerating Machine Learning
Machine Learning is a pivotal technology for many startups and enterprises. Despite decades of investment and improvements, the process of develop
How to Build an AWS DeepLens Project with Amazon SageMaker
Amazon Web Services is Hiring. Amazon Web Services (AWS) is a dynamic, growing business unit within Amazon.com. We are currently hiring So
Amazon SageMaker Pricing
For building, training, and deploying your models on Amazon SageMaker, on-demand ML instances let you pay for machine learning compute capacity by