7/9/2025, 12:00:00 AM ~ 7/10/2025, 12:00:00 AM (UTC)

Recent Announcements

Amazon P6e-GB200 UltraServers now available for the highest GPU performance in EC2

Today, Amazon announces the general availability of Amazon Elastic Compute Cloud (Amazon EC2) P6e-GB200 UltraServers, accelerated by NVIDIA GB200 NVL72. Amazon EC2 P6e-GB200 UltraServers offer the highest GPU-based AI training and inference performance in EC2. They are designed to accelerate training and inference of foundation models (FMs) including next-generation capabilities like reasoning models and agentic AI at the trillion-parameter scale.\n With P6e-GB200 UltraServers, customers can access up to 72 Blackwell GPUs within one NVLink domain to leverage 360 petaflops of FP8 compute (without sparsity), 13.4 TB of total high bandwidth memory (HBM3e), and up to 28.8 Tbps of Elastic Fabric Adapter (EFAv4) networking.  P6e-GB200 UltraServers are powered by the AWS Nitro System, allowing customers to reliably and securely scale AI workloads within EC2 UltraClusters to tens of thousands of GPUs. 

P6e-GB200 UltraServers are now available through Amazon EC2 Capacity Blocks for ML in the Dallas Local Zone (“us-east-1-dfw-2a”), an extension of the US East (N. Virginia) region. P6e-GB200 UltraServers are available in two sizes: u-p6e-gb200x72 (72 GPUs within NVLink) and u-p6e-gb200x36 (36 GPUs within NVLink).

To learn more, see Amazon EC2 P6e-GB200 UltraServers and P6-B200 instances.

Amazon QuickSight introduces granular access customization for exports and reports

Amazon QuickSight extends the current granular access capabilities with new options for exports and reports. QuickSight now allows administrators to customize access by export content type - PDF reports, CSV or Excel exports and dashboard prints for both on-demand exports on QuickSight Dashboards or Q visuals as well as scheduled email reports. Administrators can also limit attachments in report emails. Recipients will receive a notification only email with link to the actual generated content.\n This set of capabilities provides administrators flexibility in managing their corporate policies on data exports for each user per export type. Custom access capabilities in QuickSight can be applied at both user or role levels. To get started, see Customizing access to the Amazon QuickSight console.

AWS Database Migration Service now supports C7i and R7i instances

AWS Database Migration Service (AWS DMS) now supports Amazon EC2 C7i and R7i instances, powered by 4th Generation Intel Xeon Scalable processors. These instance types offer improved performance over previous generations and are suitable for a wide range of migration workloads.\n You can launch migrations using C7i and R7i instances via the AWS DMS Console, AWS DMS Command Line Interface (CLI) and AWS SDKs. For pricing and regional availability, see the AWS DMS pricing page.

Fully managed MLflow 3.0 now available on Amazon SageMaker AI

Amazon SageMaker now offers fully-managed support for MLflow 3.0 that streamlines AI experimentation and accelerates your GenAI journey from idea to production. This release transforms managed MLflow from experiment tracking to providing end-to-end observability, reducing time-to-market for generative AI development.\n As customers across industries accelerate their generative AI development, they require capabilities to track experiments, observe behavior, and evaluate performance of models and AI applications. Data scientists and developers lack tools for analyzing the performance of models and AI applications from experimentation to production, making it hard to root cause and resolve issues. Teams spend more time integrating tools than improving their models or generative AI applications. With this launch, fully managed MLflow 3.0 on Amazon SageMaker AI enables customers to accelerate generative AI by making it easier to track experiments and monitor performance of models and AI applications using a single tool. Tracing capabilities in fully managed MLflow 3.0 enable customers to record the inputs, outputs, and metadata at every step of a generative AI application, helping developers quickly identify the source of bugs or unexpected behaviors. By maintaining records of each model and application version, fully managed MLflow 3.0 offers traceability to connect AI responses to their source components, allowing developers to quickly trace an issue directly to the specific code, data, or parameters that generated it. This dramatically reduces troubleshooting time and enables teams to focus more on innovation.

Fully managed MLflow 3.0 on Amazon SageMaker AI is now available in all regions where Amazon SageMaker is offered, excluding China Regions and GovCloud (US) Regions.

To learn more about fully managed MLflow 3.0 on Amazon SageMaker AI, visit the Amazon SageMaker developer guide.

Amazon Route 53 Resolver Query Logging now available in Asia Pacific (Taipei)

Today, we are announcing the availability of Route 53 Resolver Query Logging in Asia Pacific (Taipei), enabling you to log DNS queries that originate in your Amazon Virtual Private Cloud (Amazon VPC). With query logging enabled, you can see which domain names have been queried, the AWS resources from which the queries originated - including source IP and instance ID - and the responses that were received. \n Route 53 Resolver is the Amazon DNS server that is available by default in all Amazon VPCs. Route 53 Resolver responds to DNS queries from AWS resources within a VPC for public DNS records, Amazon VPC-specific DNS names, and Amazon Route 53 private hosted zones. With Route 53 Resolver Query Logging, customers can log DNS queries and responses for queries originating from within their VPCs, whether those queries are answered locally by Route 53 Resolver, or are resolved over the public internet, or are forwarded to on-premises DNS servers via Resolver Endpoints. You can share your query logging configurations across multiple accounts using AWS Resource Access Manager (RAM). You can also choose to send your query logs to Amazon S3, Amazon CloudWatch Logs, or Amazon Kinesis Data Firehose. There is no additional charge to use Route 53 Resolver Query Logging, although you may incur usage charges from Amazon S3, Amazon CloudWatch, or Amazon Kinesis Data Firehose. To learn more about Route 53 Resolver Query Logging or to get started, visit the Route 53 product page or the Route 53 documentation.

Amazon Connect now supports parallel AWS Lambda execution in flows

Amazon Connect now supports parallel execution of AWS Lambda functions in flows, enabling faster and more seamless customer experiences. Amazon Connect allows you to integrate with third-party or homegrown systems such as CRMs using Lambda to automate tasks like reading or updating customer records. With this launch, you can now execute multiple Lambda functions concurrently or continue progressing the flow and run additional actions while a Lambda runs. For example, in an automated customer interaction, you can now look up a customer’s past purchases while simultaneously checking for active promotions and playing a message about a new offer. These capabilities can be configured directly in the drag-and-drop flow designer using the “Lambda” and “Wait” flow blocks, or through public APIs.\n To learn more, see the Amazon Connect Administrator Guide. These features are available in all AWS regions where Amazon Connect is available. To learn more about Amazon Connect, the AWS cloud-based contact center, please visit the Amazon Connect website.

Announcing AWS Builder Center

Today, we are announcing the launch of AWS Builder Center, a new place to bring together the global cloud community with everything needed to be successful in the cloud.\n Anyone can now join the most experienced cloud community in the world. You can discover articles on trending topics, like and comment on impactful content, and share ideas with each other from an integrated experience. Learn about the communities or take part by joining a community program, such as AWS Community Builders, or start your own AWS User Group. You can also give feedback directly to AWS product teams through the new Wishlist feature and vote on community roadmap requests. Builder Center is the place to connect with AWS and the builder community.

Start with Builder Center and sign in with your AWS Builder ID. Don’t have a Builder ID? It’s easy to sign up, no credit card required. Once signed in, you can connect with fellow builders, interact with content, find events at the AWS Builder Loft, and access 600+ AWS Skill Builder Courses. If you’re looking to get hands-on, get started by downloading Q Developer, learn more about tools for different coding languages, or test your skills through a weekly technical challenge. You can display your contributions, and your community membership details on your public profile.

 Visit builder.aws.com to Start here. Go anywhere.

AWS Transfer Family web apps are now available in the AWS Asia Pacific (Malaysia) Region

Customers in AWS Asia Pacific (Malaysia) Region can now use AWS Transfer Family web apps. \n AWS Transfer Family web apps provide a simple interface for accessing your data in Amazon S3 through a web browser. With Transfer Family web apps, you can provide your workforce with a fully managed, branded, and secure portal for your end users to browse, upload, and download data in S3. To learn more about AWS Transfer Family web apps, read our blog and visit the Transfer Family User Guide. For complete regional availability information, see the AWS Region Table.

Amazon VPC Route Server is now available in 8 new regions in addition to the 6 existing ones

VPC Route Server simplifies dynamic routing between virtual appliances in your Amazon VPC. It allows you to advertise routing information through Border Gateway Protocol (BGP) from virtual appliances and dynamically update the VPC route tables associated with subnets and internet gateway.\n With this launch, Amazon VPC Route Server is available in 14 AWS Regions: US East (Virginia), US East (Ohio), US West (Oregon), Europe (Ireland), Europe (Frankfurt), Asia Pacific (Tokyo), US West (N. California), Canada West (Calgary), Asia Pacific (Malaysia), Europe (Milan), Europe (Paris), Asia Pacific (Sydney), Europe (London), Canada (Central). To learn more about Amazon VPC Route Server, visit this page.

Amazon Q chat in the AWS Management Console can now query AWS service data

Amazon Q Developer now enables you to query and analyze data stored in your AWS services directly from the AWS Management Console as well as Slack, Microsoft Teams chat, and the AWS Console Mobile Application. For example, Amazon Q Developer can now analyze transaction receipts stored in an AWS S3 bucket, examine records in AWS DynamoDB tables, or review CloudWatch logs, all through natural language conversations. This feature helps reduce the time and effort required to manage and troubleshoot your cloud environment by eliminating the need to navigate multiple interfaces or manually compile information from different sources. This feature is available today without any additional configuration necessary.\n Amazon Q Developer’s service data queries are available in all AWS Regions where Amazon Q Developer is supported. To align with their organization’s security and governance requirements, administrators can use IAM permissions to control the service data Amazon Q is allowed to access. To learn more about Amazon Q’s service data query capabilities, visit the Amazon Q documentation.

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