AWS News Blog
Author: Sean M. Tracey
Sean calls himself a technologist, which is his way of saying he hasn’t decided what he wants to do with technology yet – other than everything. Sean has spent his career trying to avoid getting 'proper' jobs, and as such has had a hand in making a variety of fun and interesting projects, and every now and then he writes a book about those things too.
Announcing Amazon SageMaker Inference Recommender
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 […]
New – Introducing SageMaker Training Compiler
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 […]
New – Create and Manage EMR Clusters and Spark Jobs with Amazon SageMaker Studio
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 […]
Announcing Amazon SageMaker Ground Truth Plus – Create Training Datasets Without Code or In-house Resources
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 Creation […]
New – Securely manage your AWS IoT Greengrass edge devices using AWS Systems Manager
In 2020, we launched AWS IoT Greengrass 2.0, an open-source edge runtime and cloud service for building, deploying, and managing device software and applications. Today, we’re very excited to announce the ability to securely manage your AWS IoT Greengrass edge devices using AWS Systems Manager (SSM). Managing vast fleets of varying systems and applications remotely […]
Help Make BugBusting History at AWS re:Invent 2021
Earlier this year, we launched the AWS BugBust Challenge, the world’s first global competition to fix one million code bugs and reduce technical debt by over $100 million. As part of this endeavor, we are launching the first AWS BugBust re:Invent Challenge at this year’s AWS re:Invent conference, from 10 a.m. (PST) November 29 to […]
Amazon S3 Intelligent-Tiering – Improved Cost Optimizations for Short-Lived and Small Objects
In 2018, we first launched Amazon S3 Intelligent-Tiering (S3 Intelligent-Tiering). For customers managing data across business units, teams, and products, unpredictable access patterns are often the norm. With the S3 Intelligent-Tiering storage class, S3 automatically optimizes costs by moving data between access tiers as access patterns change. Today, we’re pleased to announce two updates to […]