11/6/2026, 12:00:00 AM ~ 11/9/2026, 12:00:00 AM (UTC)
Recent Announcements
Kimi K3.1 Pro (Highspeed) now available on Amazon Bedrock
Today, Kimi K3.1 Pro from Moonshot AI is available on Amazon Bedrock, expanding our open weight model portfolio with the security and governance that customers rely on. Customers using Amazon Bedrock can now run agentic use cases such as coding and document processing on Kimi K3.1 Pro (Highspeed), which delivers high output tokens per second (OTPS) for faster, more responsive results.\n According to Moonshot AI, Kimi K3.1 Pro is an open-weight, natively multimodal agentic model with a 1-million-token context window, and its most capable 3-trillion-parameter-class model to date. Moonshot AI reports improvements in coding, 3D creation, financial research, and other agentic work. On Amazon Bedrock, it runs within the same security boundary as proprietary models and supports explicit prompt caching to reduce latency and input costs.
Kimi K3.1 Pro is available in all AWS Regions where Amazon Bedrock is available through cross-Region inference. To get started, visit the Amazon Bedrock console. To learn more, see the Amazon Bedrock documentation.
Agent Registry is now generally available in AWS GovCloud (US-West) Region
AWS Agent Registry, available through Amazon Bedrock AgentCore, is now available in the AWS GovCloud (US-West) Region.\n AWS Agent Registry is a fully managed discovery service that gives your organization a central catalog for organizing, curating, and discovering resources. You can publish MCP servers, tools, agents, agent skills, and custom resources to a searchable registry, and control what becomes discoverable through an approval workflow. People and AI agents can then find the right tools and agents through hybrid search, catalog browsing, and a native MCP endpoint.
With Agent Registry in AWS GovCloud (US-West), public sector organizations and their partners get a single governed inventory of the agents and tools in their environment. Approval workflows and AWS CloudTrail audit logs support their compliance and oversight requirements.
To get started, see the AWS Agent Registry documentation.
Amazon MSK Replicator is now available in AWS GovCloud (US-East, US-West) Regions
You can now use Amazon MSK Replicator in the AWS GovCloud (US-East, US-West) Regions to replicate streaming data across Amazon MSK clusters and from external Apache Kafka clusters including on-premises, self-managed on AWS, or other cloud providers to Amazon MSK Provisioned clusters.\n MSK Replicator is a feature of Amazon MSK that automates data replication between Kafka clusters, eliminating the need to manage custom replication infrastructure or configure open-source tools. With MSK Replicator, you can easily build regionally resilient streaming applications for increased availability and business continuity. MSK Replicator provides automatic asynchronous replication across Kafka clusters, eliminating the need to write custom code, manage infrastructure, or setup cross-region networking. MSK Replicator automatically scales the underlying resources so that you can replicate data on-demand without having to monitor or scale capacity. MSK Replicator also replicates the necessary Kafka metadata including topic configurations, Access Control Lists (ACLs), and consumer group offsets. If an unexpected event occurs in a region, you can failover to the other AWS Region and seamlessly resume processing.
You can get started with MSK Replicator from the Amazon MSK console or the Amazon CLI. To learn more, visit the MSK Replicator documentation, product page, and pricing page.
Amazon Redshift expands SUPER data type to store strings up to 16 million bytes
Amazon Redshift now supports individual strings up to 16 million bytes within SUPER data types. Once you opt in through a database parameter, this enhancement applies when ingesting structured or semi-structured data from JSON, PARQUET, TEXT, and CSV source files, and when transforming data through extract load and transform (ELT) processes. Previously, individual strings within SUPER data types were limited to 65,535 bytes.\n Storing large individual strings in the SUPER data type helps avoid complex pre-loading transformations needed to store the source data in Amazon Redshift. You can now directly ingest large individual strings greater than 65,535 bytes without extra processing (for example, lengthy documents like terms and conditions and contracts), making them queryable using SQL. Once the data is in Amazon Redshift, you can use the flexibility of PartiQL language to explore and navigate through the data or use string functions to transform the data. Functions such as JSON_PARSE, CONCAT, and LISTAGG can now take input strings and return output strings up to 16 million bytes in length.
This enhancement is available in all AWS Regions, including the AWS GovCloud (US) Regions, where Amazon Redshift is available. See the AWS Region Table for more details. To learn more, please visit our documentation or blog.
AWS launches support for amortization of EC2 Capacity Blocks for ML
AWS Data Exports for Cost and Usage Report (CUR) 2.0 and AWS Cost Explorer now amortize the upfront fee for Amazon EC2 Capacity Blocks for ML across the duration of each reservation. You can see the amortized cost of each instance launched into a Capacity Block and the amortized cost of unused capacity, so you can attribute your upfront fee to the workloads that used it and identify capacity that went unused.\n Previously, a Capacity Block’s upfront fee appeared as a single charge on the purchase date, making it difficult to see how that cost was spread across usage over the reservation. Now the amortized cost appears alongside your instance usage, so you can allocate GPU costs to the teams, projects, and applications that ran on the reserved capacity. You can also see what share of your reservation went unused and plan future Capacity Block purchases. In CUR 2.0, the amortized costs appear in the reservation_amortized_upfront_fee_for_billing_period, reservation_effective_cost columns, and reservation_net_effective_cost shows the amortized cost after discounts. In Cost Explorer, select the amortized cost view to see Capacity Block costs allocated for the reservation.
Amortization for Capacity Blocks is available at no additional charge in all AWS Regions except the AWS GovCloud (US) Regions and the China Regions. To learn more, see the CUR 2.0 data dictionary and exploring your data using Cost Explorer.
Starting today, you can add Amazon EC2 Capacity Blocks for ML and interruptible Capacity Reservations to Capacity Reservation Resource Groups in AWS GovCloud (US) Regions. Amazon EC2 offers different reservation offerings such as On-Demand Capacity Reservations (ODCRs), interruptible Capacity Reservations, and Capacity Blocks for ML. Previously, a Capacity Reservation Resource Group could only include ODCRs. Now you can add any type of Capacity Reservation to a Capacity Reservation Resource Group, making it easier to launch EC2 instances across your entire portfolio of reserved capacity.\n To use this feature, create a Capacity Reservation Resource Group, add any Capacity Reservation to it, and then target the group in your launch request. When using EC2 Fleet and EC2 Auto Scaling groups, you can also specify your prioritization preferences across reservation types, and configure automatic fall back to EC2 On-Demand capacity when there is no capacity remaining across your reservations.
There are no additional charges for using this feature. With the addition of AWS GovCloud (US) Regions, this feature is now available in all AWS Regions where Capacity Blocks for ML and interruptible ODCRs are supported, excluding China Regions. To get started, see Capacity Reservation Resource Groups and the Capacity Reservations user guide.
Amazon Simple Email Service is now available in six new AWS Regions
Amazon Simple Email Service (Amazon SES) is now available in the Asia Pacific (New Zealand, Melbourne, Taipei, Thailand), Mexico (Central), EU (Spain). Customers can now use these new Regions to leverage Amazon SES to send emails and, if needed, to help manage data requirements.\n Amazon SES is a scalable, cost-effective, and flexible cloud-based email service that allows digital marketers and application developers to send marketing, notification, and transactional emails from within any application. To learn more about Amazon SES, visit this page .
With this launch, Amazon SES is available in 35 AWS Regions globally: US East (N. Virginia, Ohio), US West (N. California, Oregon), AWS GovCloud (US-West, US-East), Asia Pacific (Osaka, Mumbai, Hyderabad, Sydney, Singapore, Seoul, Tokyo, Jakarta, Malaysia, New Zealand, Melbourne, Taipei, Thailand), Canada (Central, Calgary), EU (Ireland, Frankfurt, London, Paris, Stockholm, Milan, Zurich,Spain), Middle East (Bahrain, UAE), Israel (Tel Aviv), South America (Sao Paulo), Mexico (Central) and Africa (Cape Town).
For a complete list of all of the regional endpoints for Amazon SES, see AWS Service Endpoints in the AWS General Reference.
AWS Glue Data Catalog now supports external catalog’s vended credentials in Apache Iceberg REST catalog federation. You can now read external Iceberg tables from Amazon Athena, Amazon EMR, Amazon Redshift, and AWS Glue using coarse-grained table grants in your external Iceberg catalog.\n Glue Data Catalog already federates to external Iceberg REST catalogs through an AWS IAM role that you configure with access to your Amazon S3 buckets. This enhancement in Glue Data Catalog provides another way to connect to an external Iceberg catalog and read only the tables that the external catalog authorizes. It uses temporary security credentials that are scoped to the Amazon S3 storage prefix and vended by your external Iceberg catalog. AWS Lake Formation manages access control when you query an external table using any AWS analytics engine, letting you restrict access further down to specific rows and columns and share external Iceberg tables across AWS accounts.
This feature is available through the AWS Lake Formation Management Console, AWS CLI, and the AWS Glue and Lake Formation SDKs. This feature is available in all commercial AWS Regions where Glue and Lake Formation are supported. To learn more, visit the documentation.
AWS Elemental MediaConvert adds a native integration with AWS Elemental Inference Smart Subtitles
AWS Elemental MediaConvert now integrates Smart Subtitles, an AI-powered subtitling solution built on AWS Elemental Inference and the latest speech recognition models. This feature brings automated subtitle generation directly into your video-on-demand (VOD) transcoding and packaging workflows, eliminating the need for separate external captioning pipelines. Customers can now manage both transcoding and subtitle creation within a single, unified workflow.\n Smart subtitles automatically transcribe your audio into subtitles with native support for six languages including English, French, German, Italian, Portuguese, and Spanish. With MediaConvert, you can package the outputs to text-based side-car formats and burn-in for all your streaming or distribution needs. To enhance transcription quality, you can now define custom dictionaries in Elemental Inference to guide the model on proper nouns, brand names, technical terminology, and more. Smart subtitles complement existing add-on features such as Smart Cropping for end-to-end media pipelines, intelligent framing and accessible subtitle delivery in distribution-ready formats like HLS and DASH.
Smart subtitles is available in all AWS regions where Elemental Inference is available including US East (N. Virginia), US West (Oregon), Europe (Ireland), Asia Pacific (Mumbai), and Asia Pacific (Sydney).
To learn more, visit Smart subtitles with MediaConvert, AWS Elemental MediaConvert and AWS Elemental Inference smart subtitles.
AWS Security Hub now provides an SBOM inventory for your compute resources
Today, AWS announces that AWS Security Hub now provides a Software Bill of Materials (SBOM) inventory, giving central security teams a continuously updated, organization-wide view of the software packages and applications installed on their compute resources.\n Security Hub builds the inventory from the SBOMs that Amazon Inspector generates for Amazon EC2 instances, Amazon ECR container images, and AWS Lambda functions, with no additional configuration. The SBOM page lists each package with its version, type, and the number of resources where it is installed. You can filter and group the list by package attributes, account, and region. On the resource detail page, the Installed software tab lists every package on that resource, so you can judge its function and criticality while triaging any finding. You can also query the inventory through the Security Hub API.
The SBOM inventory is included with Security Hub Essentials at no additional cost. It requires no new enablement and populates automatically where Amazon Inspector is enabled. It is available in all AWS Regions where Security Hub is available. To learn more, see the AWS Security Hub User Guide and the AWS Security Hub product page.
AWS Blogs
AWS Japan Blog (Japanese)
- How Kiro’s Auto uses different models suitable for work in model cascades
- Strengthen the security of your AWS cloud infrastructure with AWS Managed Services (AMS)
- [Contribution] Ryobi Systems Challenges Local Government Cloud Cost Optimization - Utilizing Long-Term Continuous Discounts and Reducing Cloud Usage Fees through Joint Use (Network Separation Method)
AWS Architecture Blog
AWS Big Data Blog
AWS DevOps & Developer Productivity Blog
- Your Guide to the Developer Tools Track at AWS re:Invent 2026
- Run Maestro tests on real Android devices using AWS Device Farm
Artificial Intelligence
- SageMaker Inference now supports Multi-Instance GPU to maximize GPU utilization for model endpoints
- Taxonomy of agentic primitives in Amazon Quick
- Serverless MCP server for AI agent data lake access on Amazon ECS Fargate
- Govern AI agent access with Okta Cross App Access and Amazon Bedrock AgentCore – Part 2
- Govern AI agent access with Okta Cross App Access and Amazon Bedrock AgentCore – Part 1
- How Greenlight Financial built an autonomous SOC solution on Amazon Bedrock AgentCore
- Taxbit Assist: A grounded, role-aware AI agent on Amazon Bedrock AgentCore
- Extend Claude Code to remote sessions on Amazon Bedrock AgentCore with security controls