Our mission at AWS is to make machine learning (ML) more accessible. Through many conversations over the past years, I learned about barriers that many ML beginners face. Existing ML environments are often too complex for beginners, or too limited to support modern ML experimentation. Beginners want to quickly start learning and not worry about […]

Today, we’re pleased to announce Amazon SageMaker Inference Recommender — a brand-new Amazon SageMaker Studio capability that automates load testing and optimizes model performance across machine learning (ML) instances. Ultimately, it reduces the time it takes to get ML models from development to production and optimizes the costs associated with their operation. Until now, no […]

Today, we’re pleased to announce Amazon SageMaker Training Compiler, a new Amazon SageMaker capability that can accelerate the training of deep learning (DL) models by up to 50%. As DL models grow in complexity, so too does the time it can take to optimize and train them. For example, it can take 25,000 GPU-hours to […]

Today, we’re very excited to offer three new enhancements to our Amazon SageMaker Studio service. As of now, users of SageMaker Studio can create, terminate, manage, discover, and connect to Amazon EMR clusters running within a single AWS account and in shared accounts across an organization—all directly from SageMaker Studio. Furthermore, SageMaker Studio Notebook users […]

Today, we’re pleased to announce the latest service in the Amazon SageMaker suite that will make labeling datasets easier than ever before. Ground Truth Plus is a turn-key service that uses an expert workforce to deliver high-quality training datasets fast, and reduces costs by up to 40 percent. The Challenges of Machine Learning Model CreationOne […]

Today we are announcing Amazon DynamoDB Standard-Infrequent Access (DynamoDB Standard-IA). A new table class for DynamoDB that reduces storage costs by 60 percent compared to existing DynamoDB Standard tables, and that delivers the same performance, durability, and scaling. Nowadays, many customers are moving their infrequently accessed data between DynamoDB and Amazon Simple Storage Service (Amazon […]

On October 26, 2021, we launched Amazon RDS Custom for Oracle, a managed database service for applications that require customization of the underlying operating system and database environment. RDS Custom lets you access and customize your database server host and operating system, for example, by applying special patches and changing the database software settings to […]

Today we are announcing Amazon DevOps Guru for RDS, a new capability for Amazon DevOps Guru. It allows developers to easily detect, diagnose, and resolve performance and operational issues in Amazon Aurora. Hundreds of thousands of customers nowadays are using Amazon Aurora because it is highly available, scalable, and durable. But as applications grow in […]

Today, we are announcing two additional capabilities of Amazon FSx for Lustre. First, a full bi-directional synchronization of your file systems with Amazon Simple Storage Service (Amazon S3), including deleted files and objects. Second, the ability to synchronize your file systems with multiple S3 buckets or prefixes. Lustre is a large scale, distributed parallel file […]

And How Developers and Businesses Can Vault Forward to Improve and Succeed Developers spend a lot of valuable time – sometimes after being woken up in the middle of the night – fixing bugs and errors. This work is important because code is never perfect. But the time and effort it takes to do this […]