Today, we are announcing the general availability of Amazon WorkSpaces running WorkSpaces Streaming Protocol (WSP) in the AWS Secret Region. WSP is a cloud-native streaming protocol designed to enable your users to access a highly responsive remote desktop experience and features such as 2-way audio video and smart card support.

With this launch, customers can now use Common Access Card (CAC) and Personal Identity Verification (PIV) cards when in their WorkSpaces. With AWS Directory Service and Amazon WorkSpaces with WSP, users can use smart cards to authenticate into a WorkSpaces instance (pre-session authentication) or to protected applications from within a WorkSpaces instance (in-session authentication).

WSP WorkSpaces is only available on Amazon WorkSpaces with Microsoft Windows in the AWS Secret Region. It requires Windows native client version 5.4.0 or above.

Starting today, the Amazon Elastic Compute Cloud (Amazon EC2) G5 instances powered by NVIDIA A10G Tensor Core GPUs are now available in the AWS Secret Region. G5 instances can be used for a wide range of graphics intensive and machine learning use cases.

Customers can use G5 instances for graphics-intensive applications such as remote workstations, video rendering, and cloud gaming to produce high fidelity graphics in real time. Machine learning customers can use G5 instances for high performance and cost-efficient training and inference for natural language processing, computer vision, and recommender engine use cases. G5 instances feature up to 8 NVIDIA A10G Tensor Core GPUs and 2nd generation AMD EPYC processors. They also support up to 192 vCPUs, up to 100 Gbps of network bandwidth, and up to 7.6 TB of local NVMe SSD storage. With eight G5 instance sizes that offer access to single or multiple GPUs, customers have the flexibility to pick the right instance size for their applications.

Customers can easily optimize G5 instances for their workloads with Nvidia drivers specific to compute, gaming or workstation workloads. Customers can purchase G5 instances as On-Demand Instances or Reserved Instances.

AWS Outposts rack is a fully managed service that extends AWS infrastructure, services, APIs, and tools on premises for a truly consistent hybrid experience. Outposts rack is delivered as an industry-standard 42U rack and can scale to multiple rack deployments. Outposts rack is ideal for applications that need to run on premises to meet low latency requirements. You can also use Outposts rack to process and manage data locally and effectively meet your data residency requirements.

With the availability of Outposts rack in the AWS Secret Region, customers and partners can leverage AWS Services to run their workloads and data in country in their on-premises facilities and connect to the AWS Secret Region for management and operations.

You can now run Amazon EC2, Amazon EBS, container-based services such as Amazon ECS, database services such as Amazon RDS on AWS Outposts, and analytics services such as Amazon EMR locally on your Outposts racks and connect to a broad range of services available in the AWS Secret Region.

AWS Secrets Manager is now available in the AWS Secret region. AWS Secrets Manager is a secrets management service that helps you protect access to your applications, services, and IT resources. This service enables you to easily rotate, manage, and retrieve database credentials, API keys, and other secrets throughout their lifecycle. Using Secrets Manager, you can secure, audit, and manage secrets used to access resources in the AWS Cloud, on third-party services, and on-premises.

With Secrets Manager, you can easily rotate secrets, such as database credentials, using built-in integration for Amazon RDS and Amazon Redshift. You can also combine Secrets Manager with AWS Lambda to meet your custom rotation needs, such as rotating third-party API keys and credentials for legacy applications. Users and applications retrieve the latest version of secrets with a call to Secrets Manager APIs, eliminating the need to hardcode sensitive information in plain text. In addition, Secrets Manager enables you to control access to secrets using fine-grained permissions. Secrets Manager offers pay as you go pricing.

You can now use AWS ParallelCluster to configure, launch, and manage high-performance computing (HPC) clusters in the AWS Secret Region.

AWS ParallelCluster is a fully-supported and maintained open-source cluster management tool that enables customers and their IT administrators to operate high-performance computing (HPC) clusters on AWS. HPC clusters are collections of tightly-coupled compute, storage, and networking resources that enable customers to run large-scale scientific, engineering, and AI/ML workloads. AWS ParallelCluster uses infrastructure-as-code to help you automatically and securely provision cloud resources into elastically-scaling HPC clusters capable of running jobs at large scale.

AWS ParallelCluster is available at no additional charge, and you pay only for the AWS resources needed to run your applications.

Today, we are announcing the availability of Amazon Data Lifecycle Manager in the AWS Secret Region. Amazon Data Lifecycle Manager helps customers automate the creation, sharing, copying and retention of Amazon EBS Snapshots and EBS-backed AMIs via custom-built policies. Data Lifecycle Manager eliminates the need for complicated custom scripts to manage your EBS resources, saving you time and money.

You can create Lifecycle Manager policies that automatically create snapshots of individual EBS volumes and multi-volume crash-consistent snapshots of a group of EBS volumes attached to EC2 instances. You can also configure your policies to copy tags from instances and volumes to the AMIs and snapshots that are created, as well as automatically share and copy your EBS resources to another region or account for disaster recovery. With EBS-backed AMI policies, you can set Data Lifecycle Manager to automatically share, deprecate, and deregister AMIs. Data Lifecycle Manager will also automatically delete underlying snapshots when AMIs are deregistered, ensuring you do not pay for AMI snapshots that are no longer required.

To get started, tag your instances and volumes, and start creating lifecycle policies via Amazon Data Lifecycle Manager. You can create the policies in the AWS Management Console, from the AWS Command Line Interface (CLI)  or via the Amazon Data Lifecycle Manager APIs.