The AWS Deep Learning AMIs for Ubuntu and Amazon Linux now come with the latest deep learning framework support for Chainer 4.2, Keras 2.2 as well as the Apache MXNet Model Server 0.3. This release also includes upgrades of the NIVIDA stack in the AMIs including the latest NVIDIA GPU driver 390.46, CUDA 8.0 and 9.0, as well as cuDNN 7.1.4 and NCCL 2.2.13.  

VPC Endpoints for DynamoDB enables you to have all network traffic between your Amazon Virtual Private Cloud (VPC) and Amazon DynamoDB stay within the AWS cloud instead of traversing the public internet.

DynamoDB offers data protection and security using TLS endpoints for encryption-in-transit, a client-side encryption library , and fine-grained access control using AWS Identity and Access Management (IAM), providing control at the item and attribute level. VPC Endpoints for DynamoDB further improves privacy and security, especially for applications with strict compliance and audit requirements, or that handle sensitive data.

If you’re connecting to DynamoDB from a VPC, here are four reasons that make using VPC Endpoints for DynamoDB a no-brainer. First, while normal charges apply for NAT gateway access, there is no additional cost for using VPC Endpoints for DynamoDB. Second, with VPC Endpoints for DynamoDB, you do not need an Internet gateway or NAT gateway. This ensures your VPC remains closed and isolated from the public Internet. Third, VPC endpoints offer simplified network configuration that removes the need for you to set up and maintain firewalls to keep you VPC secure from network attacks. Fourth, you can use IAM policies to allow DynamoDB access through VPC endpoints only from your corporate network, and only from specific applications.

VPC Endpoints for DynamoDB is now available in AWS GovCloud (US). To learn more about Amazon VPC Endpoints for DynamoDB, read the blog post and the VPCE for DynamoDB Developer Guide . 

AWS Elemental MediaConvert now supports adding tags to queues, presets, and job templates. Tags can be added using the API or the MediaConvert console, and are automatically removed upon deletion. Tags on AWS resources let you categorize resources by purpose, owner, environment, or other criteria, and create business-relevant tag groupings to organize your resources.

Amazon Connect now allows you to dynamically set your caller ID phone number for outbound calls so recipients of the calls may recognize the number and use the number you specify to return calls. This is useful when you have multiple telephone numbers used to make outbound calls, but want to consistently display the same phone number as the caller ID for calls made from your contact center. You can also display a phone number for a specific line of business or for customers based on their account type.

Starting today, Launch Templates for Amazon EC2 Instances are now available in the AWS GovCloud (US) Region , an isolated region designed to address specific regulatory and compliance requirements for vetted government customers and organizations in government-regulated industries that run sensitive workloads in the cloud.

Launch Templates in this region streamline and simplify the launch process for Auto Scaling, and On-Demand instances. They help reduce the number of steps required to create an instance and, because they capture all the launch parameters within one resource, they make it easy to reproduce instance launches. Launch Templates are also designed to help you better manage costs, improve security, and minimize deployment errors because it allows you to easily implement standards and best practices.

This capability is available at no additional cost in AWS commercial regions and the AWS GovCloud (US) Region. To get started, read our Launch Templates documentation .

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Amazon SageMaker is now available in the Asia Pacific (Seoul) AWS region. Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.

Amazon SageMaker inference calls are now supported on AWS PrivateLink, keeping them secure from the internet. Customers can initiate inference calls to their machine learning models hosted on Amazon SageMaker inside their Amazon Virtual Private Cloud (VPC), without going over the internet.

AWS Step Functions is now available in AWS GovCloud (US). AWS Step Functions makes it easier to coordinate the components of distributed systems, serverless applications, and microservices using visual workflows. Building applications from individual components that each perform a discrete function lets you scale and change applications quickly.

Amazon MQ now supports four new M5 broker instances that enable you to scale your brokers to meet higher throughput requirements.