ASML has developed a 1000W light source which should increase the throughput of its high-NA EUV machine from 220wph to 330wph by 2030. The advance has been achieved by doubling …

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Amazon Redshift now offers 3-year Serverless Reservations for Amazon Redshift Serverless, a new discounted pricing option that provides up to 45% savings and improved cost predictability for your analytics workloads. With Serverless Reservations, you commit to a specific number of Redshift Processing Units (RPUs) for a 3-year term with a no-upfront payment option.

Amazon Redshift Serverless allows you to run and scale analytics without having to provision and manage clusters with a pay-as-you-go pricing model. Serverless Reservations help you further optimize compute costs and improve cost predictability of existing and new workloads on Amazon Redshift Serverless. Managed at the AWS payer account level, Serverless Reservations can be shared between multiple AWS accounts, reducing your compute costs by up to 45% on all Amazon Redshift Serverless workloads in your AWS account. Serverless Reservations are billed hourly and metered per second, offering a consistent billing model (24 hours a day, seven days a week) while maintaining the flexibility offered by Amazon Redshift Serverless. Any usage exceeding the specified RPU level is charged at standard on-demand rates. You can purchase Serverless Reservations via the Amazon Redshift console or by invoking the Serverless Reservations API “create-reservation”.

Serverless Reservations are available in all regions where Amazon Redshift Serverless is currently available. To learn more about Amazon Redshift Serverless pricing options, see the Redshift Serverless feature page , Redshift Pricing Page , or the Amazon Redshift Management Guide . 

Amazon S3 Tables are now available in AWS GovCloud (US-East) and AWS GovCloud (US-West).

Amazon S3 Tables deliver the first cloud object store with built-in Apache Iceberg support, offering optimized tabular data storage at scale. S3 Tables are designed to perform continual table maintenance to automatically optimize query efficiency and storage cost over time, even as your data lake scales and evolves. With S3 Tables support for the Apache Iceberg standard, your tabular data can be easily queried by popular AWS and third-party query engines. Additionally, with the Intelligent-Tiering storage class, S3 Tables automatically manage costs based on access patterns, without performance impact or operational overhead.

For a full list of AWS Regions where S3 Tables are available, see S3 Tables AWS Regions and endpoints . To learn more, visit the product page , documentation , and the Amazon S3 pricing page .

AWS IAM Policy Autopilot, the open source static code analysis tool launched at re:Invent 2025, is now available as a Kiro power to bring policy expertise to agentic AI development. This tool helps developers quickly create baseline AWS IAM policies that can be refined as applications evolve, eliminating the need for manual IAM policy creation.

The Kiro power delivers significant benefits through one-click installation directly from the Kiro IDE and web interface, removing the need for manual MCP server configuration. This streamlined workflow enables faster policy creation and integrates seamlessly into AI-assisted development environments. Key use cases include rapid prototyping of AWS applications requiring IAM policies, baseline policy creation for new AWS projects, and enhanced productivity within IDE environments where developers can generate policies without leaving their coding workflow.

To learn more about AWS IAM Policy Autopilot and access the integration, visit the AWS IAM Policy Autopilot GitHub repository . To learn more about Kiro powers, visit the Kiro powers page . 

AWS Elemental Media Services are now available in the Asia Pacific (Malaysia) Region, expanding your ability to build cloud-based video workflows closer to your audiences in Southeast Asia. AWS Elemental MediaConnect, MediaLive, MediaPackage, MediaConvert, and MediaTailor form a comprehensive suite of services that enable you to ingest, transport, transcode, package, and deliver high-quality video content with lower latency and improved performance for viewers across Malaysia and the broader Southeast Asia region.

With this regional expansion, broadcasters, content providers, and streaming platforms in the region can now process video workloads closer to the edge reducing latency and improving video quality for regional audiences. For example, you can use MediaLive or MediaConvert to encode live sports events or VOD assets, respectively, in Kuala Lumpur, package the streams with MediaPackage for multi-device delivery, and monetize content using MediaTailor’s server-side ad insertion, all while keeping your video processing infrastructure within the Asia Pacific (Malaysia) Region.

AWS Elemental Media Services are a family of services that form the foundation of cloud-based workflows to transport, transcode, package, and deliver video.

Visit the AWS region table for a full list of AWS Regions where Elemental Media Services are available. 

Today, AWS announces the general availability of Amazon Q Developer artifacts in the AWS Management Console. Amazon Q artifacts is a generative AI-based user experience that enables customers to visualize resource data in tables and cost data in charts. The launch also moves the Q icon to the navigation bar and the chat panel to the left, making Amazon Q easier to access from anywhere in the AWS Management Console.

Customers can access Amazon Q artifacts by selecting the Amazon Q icon and asking questions about their AWS resources to understand the state of their resources and costs using Amazon Q artifacts. For example, on asking “List S3 buckets with tag value production”, Amazon Q displays the S3 buckets that has a tag value of production in a tabular format. Customers can then select the hyperlinks on the bucket name to view the bucket details in the S3 console. Customers can also visualize cost and billing information with charts. For example, on entering “Show me RDS costs by instance type over the last 6 months”, Q will render the response in a Q artifacts using a chart (e.g., bar graph, line chart, pie chart, or area chart). Customers can also use sample prompts in the Prompt Library in the Amazon Q chat panel to get started quickly. The artifacts are displayed in an artifact panel to the right of the Amazon Q chat panel. Users can expand Amazon Q to full-screen for a dedicated focus mode experience.

The Amazon Q Developer artifacts are available in all AWS Regions where Amazon Q Developer is available . To get started visit Amazon Q Developer documentation.

AWS Trusted Advisor has enhanced its detection of unused NAT Gateway checks powered by AWS Compute Optimizer detection capabilities. The enhanced detection analyzes additional CloudWatch metrics over a 32-day lookback period and verifies whether NAT Gateways are associated with route tables, reducing false positives by avoiding flagging critical backup resources. This helps cost optimization teams and DevOps engineers confidently identify and remove unused NAT Gateways that incur unnecessary charges.

Each recommendation includes estimated monthly cost savings, enabling you to prioritize cleanup based on monetary impact. With these recommendations, you can run regular cost audits to catch idle NAT Gateways before charges accumulate. This simplifies cleaning up resources left behind after workload migrations or decommissions. You can view and act on these recommendations in the Trusted Advisor console alongside your other cost optimization checks, or through Trusted Advisor APIs.

This feature is available in all AWS Regions where AWS Trusted Advisor is supported. Organizations must be opted-in to Cost Optimization Hub and Compute Optimizer to access these enhanced recommendations. To learn more, visit the AWS Trusted Advisor documentation .

Introducing Probe API, a powerful and free metadata analysis tool for AWS Elemental MediaConvert. Optimized for efficiency, Probe API reads header metadata to quickly return essential information about your media files, including codec specifications, pixel formats, color space details, and container information – all without waiting to process the actual video content. This analysis capability makes it an invaluable tool for content creators, developers, and media professionals who need to quickly validate files, automate workflows, or utilize Elementals’ Step Functions to make encoding decisions based on source material characteristics.

For complete implementation details and usage examples, please visit the MediaConvert API Reference documentation . The Probe API can be utilized in any region where AWS Elemental MediaConvert is available, making it a versatile tool for streamlining your media workflow analysis.

To get started with Probe API and explore its capabilities, visit the AWS Elemental MediaConvert product page or consult the User Guide for comprehensive documentation.

We’re training up an AI to be a humanised version of the PM, Ed confides to  his diary, jokes, empathy, common sense are all being fed into the model. The …

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Rutronik is introducing a high-performance COM Express R3.1 Type 6 module from ADLINK for edge AI computing, the cExpress-R8. cExpress-R8 Powered by the AMD Ryzen Embedded 8000 Series, the module …

The post Adlink cExpress-R8 module brings 40 TOPS AI inference to the edge appeared first on Electronics Weekly .