9/23/2024, 12:00:00 AM ~ 9/24/2024, 12:00:00 AM (UTC)

Recent Announcements

Amazon SageMaker Studio now supports automatic shutdown of idle applications

We are excited to announce that Amazon SageMaker Studio now supports automatically shutting down applications after a period of inactivity.\n Starting today, administrators can configure idle shutdown time for JupyterLab and CodeEditor applications that use Amazon SageMaker Distribution image version 2.0 or newer. Administrators can set idle shutdown time on SageMaker domain or user profile level, and can optionally grant users flexibility to modify the idle shutdown time based on their specific use case. Once idle shutdown time is configured, SageMaker Studio will automatically detect when applications are idle and shut them down after specified period of inactivity. This functionality provides customers with an important cost control mechanism, helping them avoid incurring charges for instances that are not actively in use. You can get started using this feature by configuring idle shutdown time for SageMaker Studio applications through the SageMaker Console or APIs. This feature is available in all Amazon Web Services regions where SageMaker Studio is currently available. To learn more, visit documentation.

AWS Lambda now supports tagging of Event Source Mappings and Code Signing Config resources

AWS Lambda now supports tagging Event Source Mappings (ESM) and Code Signing Config (CSC) resources. Tags are simple key-value pairs that customers can assign to AWS resources to easily organize, search, identify resources, and control access.\n Previously, customer tagging was limited to Lambda Function resources. With today’s launch, customers can now use tag-based controls to manage access to ESM or CSC resources used with their Lambda functions. Customers can manage tags for ESM and CSC resources using the AWS CLI, AWS SDKs, AWS CDKs, AWS SAM, AWS CloudFormation or AWS Management Console. Lambda support for tagging ESM and CSC resources is available at no additional cost in all AWS Regions where AWS Lambda is available, except the AWS GovCloud (US) Regions and the China Regions. To learn more, visit the Lambda documentation page on how to use tags on ESM and CSC.

Amazon EC2 Instance Connect now supports IPv6

Starting today, Amazon EC2 Instance Connect now supports Internet Protocol Version 6(IPv6). Customers moving to IPv6 can now connect to their instances with a single click or command using EC2 Instance Connect over IPv6.\n
Amazon EC2 Instance Connect provides a single-click and single command Secure shell(SSH) based connectivity to instances. Until today, EC2 Instance Connect, only supported connectivity over IPv4. With this launch, EC2 Instance Connect now supports SSH to instances over both IPv6 and IPv4. Customers can additionally use prefix lists to configure and maintain their security group rules to allow SSH traffic. EC2 Instance Connect is available at no additional cost. Visit our documentation page for more information about connecting to Linux instances using EC2 Instance Connect from API, CLI, or the Amazon EC2 console.

Announcing G4dn WorkSpaces Pools bundles with WSP for Windows

Amazon WorkSpaces announces support for graphics bundles (G4dn instances) for WorkSpaces Pools. The customers can now run their graphics-intensive and accelerated applications on Windows using AWS G4dn graphics instance with WorkSpaces Pools.\n
The Graphics G4dn bundles offer cost-effective solutions for graphics applications optimized for NVIDIA GPUs using NVIDIA libraries such as CUDA, CuDNN, OptiX, and Video Codec SDK. With WSP, the users will be able to experience a highly responsive remote desktop experience with 4K resolution and support for multiple monitors. G4dn WorkSpaces with WSP are available for Windows Server 2022. Alternatively, customers can bring their own Windows desktop licenses for Windows 10/11.

Customers can deploy the Graphics G4dn bundles for Windows in AWS Regions where WorkSpaces Pools is available, including AWS GovCloud (US-East) and AWS GovCloud (US-West), and can launch G4dn Graphics bundles from the AWS Management Console, AWS API, or AWS CLI. See the Amazon WorkSpaces Pool pricing page for more information.

Jamba 1.5 family of models by AI21 Labs is now available in Amazon Bedrock

The Jamba 1.5 Model Family from AI21 Labs is now available in Amazon Bedrock. Jamba 1.5 Large and 1.5 Mini are cutting-edge foundation models designed for enterprise applications. With a 256k effective context window, one of the longest on the market, these models enable customers to tackle complex tasks like lengthy document summarization and analysis.\n The Jamba 1.5 models, purpose-built for speed and efficiency with a hybrid architecture that makes them 2.5x faster than many other models (according to AI21), offer customers improved speed on long contexts, making them among the fastest in their size class. Jamba 1.5 Mini demonstrates exceptional performance, achieving a score of 46.1 on the Arena Hard benchmark, making it a leading public model in its category. With native support for structured JSON output, function calling, and document processing, the Jamba 1.5 models integrate into a wide range of enterprise business workflows, providing tailored solutions for your specialized, high-performance AI needs.

Jamba 1.5 Large - excels at complex reasoning tasks across all prompt lengths, making it ideal for applications that require high quality outputs on both long and short inputs.

Jamba 1.5 Mini - optimized for low-latency processing of long prompts, enabling fast analysis of lengthy documents and data.

AI21’s Jamba 1.5 models are available in Amazon Bedrock in the US East (N. Virginia) region. To learn more read the News Blog, visit the AI21 Labs in Amazon Bedrock page, and documentation. To get started with Jamba 1.5 in Amazon Bedrock, visit the Amazon Bedrock console.

Amazon Time Sync Service supports Microsecond-Accurate Time in Malaysia and Ohio Regions

The Amazon Time Sync Service now supports clock synchronization within microseconds of UTC on Amazon EC2 instances in the Asia Pacific (Malaysia) and US East (Ohio) regions.\n Built on Amazon’s proven network infrastructure and the AWS Nitro System, customers can now access local, GPS-disciplined reference clocks on supported EC2 instances. These clocks can be used to more easily order application events, measure 1-way network latency, increase distributed application transaction speed, and incorporate in-region and cross-region scalability features while also simultaneously simplifying technical designs. This capability is an improvement over many on-premises time solutions, and it is the first microsecond-range time service offered by any cloud provider. Additionally, you can audit your clock accuracy from your instance to measure and monitor the expected microsecond-range accuracy. Customers already using the Amazon Time Sync Service on supported instances will see improved clock accuracy automatically, without needing to adjust their AMI or NTP client settings. Customers can also use standard PTP clients and configure a new PTP Hardware Clock (PHC) to get the best accuracy possible. Both NTP and PTP can be used without needing any updates to VPC configurations. Amazon Time Sync’s microsecond-accurate time is available starting today in US East (Ohio), Asia Pacific (Malaysia), as well as additional regions on supported EC2 instance types. We will be expanding support to more AWS Regions. There is no additional charge for using this service. Configuration instructions, and more information on the Amazon Time Sync Service, are available in the EC2 User Guide.

AWS Lambda adds support for Amazon Linux 2023 runtimes in the AWS GovCloud (US) Regions

AWS Lambda now supports Amazon Linux 2023 runtimes in the AWS GovCloud (US) Regions. This includes the following runtimes: Python 3.12, Node.js 20, Java 21, .NET 8, Ruby 3.3, and Amazon Linux 2023 (provided.al2023). Each runtime is available as both a managed runtime and a container base image. We will automatically apply updates to each managed runtime and container base image, as they become available.\n This release includes the latest version of each programming language supported by Lambda, providing access to the latest programming language features and performance improvements. Built on Amazon Linux 2023, these runtimes provide a significantly smaller deployment footprint than earlier Amazon Linux 2-based runtimes, updated versions of common libraries such as glibc, and a new package manager. To deploy Lambda functions using these new runtimes, upload the code through the Lambda console and select the runtime. You can also use the AWS CLI, AWS Serverless Application Model (SAM), and AWS CloudFormation to deploy and manage your serverless applications. Additionally, you can also use the container base images to build and deploy functions as a container image. To migrate existing Lambda functions running earlier language versions, review your code for compatibility with the new language version, then re-build and re-deploy your function to use the new runtime. Visit our product page for more information about AWS Lambda or sign in to the AWS Lambda console to get started.

AWS Elemental MediaLive introduces bandwidth reduction filter

You can now use the bandwidth reduction filter in AWS Elemental MediaLive to improve encoding efficiency.\n The bandwidth reduction filter improves video encoding efficiency by an average of 7%, reducing bandwidth and storage while maintaining comparable video quality. You can save on transmission, content distribution, and storage without compromising the viewing experience. The bandwidth reduction filter is available with Enhanced AVC and HEVC encoding in MediaLive at no additional cost. For more information, visit the MediaLive documentation. AWS Elemental MediaLive is a broadcast-grade live video processing service. It lets you create high-quality live video streams for delivery to broadcast televisions and internet-connected multiscreen devices, like connected TVs, tablets, smartphones, and set-top boxes. The MediaLive service functions independently or as part of AWS Media Services, a family of services that form the foundation of cloud-based workflows and offer you the capabilities you need to transport, create, package, monetize, and deliver video. Visit the AWS region table for a full list of AWS Regions where AWS Elemental MediaLive is available.

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