AWS News Blog
New – Data Parallelism Library in Amazon SageMaker Simplifies Training on Large Datasets
Today, I’m particularly happy to announce that Amazon SageMaker now supports a new data parallelism library that makes it easier to train models on datasets that may be as large as hundreds or thousands of gigabytes. As data sets and models grow larger and more sophisticated, machine learning (ML) practitioners working on large distributed training […]
Amazon SageMaker Simplifies Training Deep Learning Models With Billions of Parameters
Today, I’m extremely happy to announce that Amazon SageMaker simplifies the training of very large deep learning models that were previously difficult to train due to hardware limitations. In the last 10 years, a subset of machine learning named deep learning (DL) has taken the world by storm. Based on neural networks, DL algorithms have […]
In the Works – AWS Region in Melbourne, Australia
We launched new AWS Regions in Italy and South Africa in 2020, and are working on regions in Indonesia, Japan, Spain, India, and Switzerland. Melbourne, Australia in 2020 Today I am happy to announce that the Asia Pacific (Melbourne) region is in the works, and will open in the second half of 2022 with three […]
re:Invent 2020 Liveblog: Machine Learning Keynote
AWS Chief Evangelist Jeff Barr and Developer Advocates Martin Beeby and Steve Roberts liveblogged the first-ever Machine Learning Keynote. Swami Sivasubramanian, VP of Amazon Machine Learning shared the latest developments and launches in Amazon ML/AI, as well as demos of new technology, and insights from customers. Read the Machine Learning Keynote recap below. You can […]
Using Amazon CloudWatch Lambda Insights to Improve Operational Visibility
To balance costs, while at the same time ensuring the service levels needed to meet business requirements are met, some customers elect to continuously monitor and optimize their AWS Lambda functions. They collect and analyze metrics and logs to monitor performance, and to isolate errors for troubleshooting purposes. Additionally, they also seek to right-size function […]
New – Fully Serverless Batch Computing with AWS Batch Support for AWS Fargate
We launched AWS Batch on December 2016 as a fully managed batch computing service that enables developers, scientists and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. With AWS Batch, you no longer need to install and manage batch computing software or server clusters to run your jobs. […]
New – SaaS Lens in AWS Well-Architected Tool
To help you build secure, high-performing, resilient, and efficient solutions on AWS, in 2015 we publicly launched the AWS Well-Architected Framework. It started as a single whitepaper but has expanded to include domain-specific lenses, hands-on labs, and the AWS Well-Architected Tool (available at no cost in the AWS Management Console) that provides a mechanism for […]
AWS Marketplace Now Offers Professional Services
Now with AWS Marketplace, customers can not only find and buy third-party software but also the professional services needed to support the full lifecycle of those products, including planning, deployment and support. This simplifies the software supply chain including tasks like managing provider relationships and procurement processes and also consolidates billing and invoices in one […]