Train ALBERT for natural language processing with TensorFlow on Amazon SageMaker

By Dustin Ward

Amazon Web Services FeedTrain ALBERT for natural language processing with TensorFlow on Amazon SageMaker At re:Invent 2019, AWS shared the fastest training times on the cloud for two popular machine learning (ML) models: BERT (natural language processing) and Mask-RCNN (object detection). To train BERT in 1 hour, we efficiently scaled out to 2,048 NVIDIA V100 GPUs by…

How to create SAML providers with AWS CloudFormation

By Dustin Ward

Amazon Web Services FeedHow to create SAML providers with AWS CloudFormation As organizations grow, they often experience an inflection point where it becomes impractical to manually manage separate user accounts in disparate systems. Managing multiple AWS accounts is no exception. Many large organizations have dozens or even hundreds of AWS accounts spread across multiple business…

Generate Python, Java, and .NET software libraries from a TypeScript source

By Dustin Ward

Amazon Web Services FeedGenerate Python, Java, and .NET software libraries from a TypeScript source As builders and developers, many of us are aware of the principle of Don’t Repeat Yourself (or DRY) and practice it every day. Entire runtimes and programming languages have been developed by taking that principle to an even higher level, with…

Microsoft and Docker collaborate on new ways to deploy containers on Azure

By Dustin Ward

Now more than ever, developers need agility to meet rapidly increasing demands from customers. Containerization is one key way to increase agility. Containerized applications are built in a more consistent and repeatable way, by way of defining desired infrastructure, dependencies, and configuration as code for all stages of the lifecycle. Applications often start and stop…