3/10/2025, 12:00:00 AM ~ 3/11/2025, 12:00:00 AM (UTC)
Recent Announcements
Amazon EC2 G6e instances now available in Seoul Region
Starting today, the Amazon EC2 G6e instances powered by NVIDIA L40S Tensor Core GPUs is now available in Asia Pacific(Seoul) Region. G6e instances can be used for a wide range of machine learning and spatial computing use cases.\n Customers can use G6e instances to deploy large language models (LLMs) with up to 13B parameters and diffusion models for generating images, video, and audio. Additionally, the G6e instances will unlock customers’ ability to create larger, more immersive 3D simulations and digital twins for spatial computing workloads. G6e instances feature up to 8 NVIDIA L40S Tensor Core GPUs with 48 GB of memory per GPU and third generation AMD EPYC processors. They also support up to 192 vCPUs, up to 400 Gbps of network bandwidth, up to 1.536 TB of system memory, and up to 7.6 TB of local NVMe SSD storage. Developers can run AI inference workloads on G6e instances using AWS Deep Learning AMIs, AWS Deep Learning Containers, or managed services such as Amazon Elastic Kubernetes Service (Amazon EKS) ,AWS Batch, and Amazon SageMaker. Amazon EC2 G6e instances are available today in the AWS US East (N. Virginia, Ohio), US West (Oregon), Asia Pacific (Tokyo, Seoul), and Europe (Frankfurt, Spain, Stockholm) Regions. Customers can purchase G6e instances as On-Demand Instances, Reserved Instances, Spot Instances, or as part of Savings Plans. To get started, visit the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs. To learn more, visit the G6e instance page.
DeepSeek-R1 is available fully-managed in Amazon Bedrock
DeepSeek-R1 is now available as a fully managed, serverless model in Amazon Bedrock. AWS is the first cloud service provider to deliver DeepSeek-R1 as a fully managed, generally available model. You can power your applications with DeepSeek-R1’s capabilities through Amazon Bedrock’s fully managed service via a single API along with Amazon Bedrock’s tools, allowing your team to focus on building differentiated generative AI applications right away. By using Amazon Bedrock to deploy DeepSeek-R1, you also get seamless access to enterprise-grade security, monitoring, and cost-control features essential for deploying AI responsibly at scale, all while giving you complete control over your data.\n DeepSeek-R1 is a publicly available model under MIT license that delivers exceptional accuracy and deep contextual understanding. DeepSeek-R1 combines powerful natural language processing with advanced reasoning capabilities, demonstrated by its leading performance in mathematics where it achieved 79.28% on AIME 2024, and software engineering where it achieved a 49.2% score on SWE-bench Verified. DeepSeek-R1 provides a cost-effective option for unlocking advanced AI reasoning capabilities efficiently, maximizing your technology investment. To help you deploy DeepSeek-R1 responsibly in production environments, Amazon Bedrock provides comprehensive and customizable safeguards through Amazon Bedrock Guardrails. This includes sensitive information filtering and customizable security controls—particularly valuable for organizations operating in regulated environments. We highly recommend integrating guardrails with your DeepSeek-R1 deployments to add robust protection for your generative AI applications. DeepSeek-R1 is available fully managed in Amazon Bedrock in the US East (N. Virginia), US East (Ohio), and US West (Oregon) AWS Regions via cross-region inference. You can also use DeepSeek-R1 and its distilled variants via Amazon Bedrock Marketplace and Amazon Bedrock Custom Model Import. To learn more, visit the launch blog, DeepSeek on Amazon Bedrock product page, Amazon Bedrock pricing, and documentation. To get started with DeepSeek in Amazon Bedrock, visit the Amazon Bedrock console.
Announcing new feature tiers: Essentials and Plus for Amazon Cognito in AWS GovCloud (US) Regions
Amazon Cognito launches new user pool feature tiers, Essentials and Plus, in the AWS GovCloud (US) Regions. The Essentials tier offers comprehensive and flexible user authentication and access control features, allowing customers to implement secure, scalable, and customized sign-up and sign-in experiences for their application within minutes. It supports password-based log-in, multi-factor authentication (email, SMS, TOTP), and log-in with social identity providers, along with recently announced Managed Login and passwordless log-in (passkeys, email, SMS) features. Essentials also supports customizing access tokens and disallowing password reuse. The Plus tier is geared toward customers with elevated security needs for their applications by offering threat protection capabilities against suspicious log-ins. Plus includes all Essentials features and additionally supports risk-based adaptive authentication, compromised credentials detection, and exporting user authentication event logs to analyze threat signals.\n Essentials will be the default tier for new users pools created by customers. Customers also have the flexibility to switch between all available tiers anytime based on their application needs. For existing user pools, customers can enable the new tiers or continue using their current user pool configurations without making any changes. The Essentials and Plus tiers are available at new pricing. Essentials and Plus are available in all AWS Regions where Amazon Cognito is available, including the AWS GovCloud (US) Regions. To learn more, refer to:
AWS News Blog
Documentation
Today, Amazon Cognito announced support for passwordless authentication for low-friction and secure logins in the AWS GovCloud (US) Regions. Amazon Cognito now allows you to secure user access to your applications with passwordless authentication, including sign-in with passkeys, email, and text message. Passkeys are based on FIDO standards and use public key cryptography, which enables strong, phishing-resistant authentication. With passwordless authentication, you can reduce the friction associated with traditional password-based authentication and thus simplify the user log-in experience for their applications. For example, if your users choose to use passkeys to log in, they can do so using a built-in authenticator, such as Touch ID on Apple MacBooks and Windows Hello facial recognition on PCs.\n Amazon Cognito provides millions of users with secure, scalable, and customizable sign-up and sign-in experiences within minutes. With this launch, AWS is now extending the support for passwordless authentication to the applications you build. This enables your end-users to log in to your applications with a low-friction and secure approach. Passwordless authentication is offered as part of the Cognito Essentials tier and can be used in all AWS Regions where Amazon Cognito is available, including AWS GovCloud (US). To get started, see the following resources:
Pricing Detail Page
AWS News Blog
Developer Guide
Amazon Cognito introduces Managed Login in the AWS GovCloud (US) Regions, a fully-managed, hosted sign-in and sign-up experience that customers can personalize to align with their company or application branding. Amazon Cognito provides millions of users with secure, scalable, and customizable sign-up and sign-in experiences. With Managed Login, Cognito customers can now use its no-code visual editor to customize the look and feel of the user journey from signup and login to password recovery and multi-factor authentication.\n Managed Login helps customers offload the undifferentiated heavy lifting of designing and maintaining custom implementations such as passwordless authentication and localization. For example, Managed Login offers pre-built integrations for passwordless login, including sign-in with passkeys, email, or text message. This provides customers the flexibility to implement low-friction and secure authentication methods without the need to author custom code. With Managed Login, customers now design and manage their end-user sign-up and sign-in experience through the AWS Management Console. Additionally, Cognito has also revamped its getting started experience with application-specific (e.g., for web applications) guidance for customers to swiftly configure their user pools. Together with Managed Login and a simplified getting started experience, customers can now get their applications to end users faster than ever before with Amazon Cognito. Managed Login is offered as part of the Cognito Essentials tier and can be used in all AWS Regions where Amazon Cognito is available, including the AWS GovCloud (US) Regions. To get started, refer to:
Pricing Detail Page
AWS News Blog
Developer Guide
Amazon Cognito is now available in the AWS GovCloud (US East) Region
Amazon Cognito is now available in the AWS GovCloud (US-East) Region. This launch introduces all Amazon Cognito features and tiers: Essentials, Lite, and Plus, allowing customers to use comprehensive and flexible authentication and access control features to implement secure, scalable, and customized sign-up and sign-in experiences for their application within minutes. Cognito allows customers to scale authentication to millions of users and supports sign-in with social identity providers such as Apple, Facebook, Google, and Amazon, and enterprise identity providers via standards such as SAML 2.0 and OpenID Connect.\n For a full list of regions where Amazon Cognito is available, refer to the AWS Region Table. To learn more about Amazon Cognito, refer to:
Developer Guide
Product Detail Page
Pricing Detail Page
Amazon EMR on EKS now supports Amazon EKS Pod Identity
Today, Amazon EMR on EKS announces support for Amazon EKS Pod Identity, simplifying the setup of IAM permissions required by EMR on EKS jobs to access other AWS resources. With this launch, you can configure IAM permissions through a single API call, significantly reducing complexity and potential for errors. The new feature also allows you to leverage IAM roles across multiple clusters without the need to update IAM trust policies for use in new clusters, improving reusability and operational efficiency.\n To run workloads on Amazon EMR on EKS, customers need to create a job execution IAM role that pods in EKS cluster will use to interact with other AWS resources such as Amazon S3 buckets. Previously, customers had to perform multiple configuration steps such as creating an OIDC identity provider and updating IAM’s role trust policy. Role trust policy size also limited the number of EKS clusters that customers could reuse a job execution role across. Now, customers can configure IAM permissions through a single API call and reuse an IAM role across multiple clusters without additional configuration updates. Amazon EMR on EKS support for EKS Pod Identity is available in all Regions where Amazon EMR on EKS is currently available, except the China Regions. To get started visit the documentation.
Amazon ECS now offers GPU-Optimized AMI for Amazon Linux 2023
Amazon Elastic Container Service (Amazon ECS) today introduced GPU-optimized Amazon Machine Image (AMI) for Amazon Linux 2023 (AL2023). This new offering enables customers to run GPU-accelerated containerized workloads on Amazon ECS while leveraging improved security features and newer kernel version available on AL2023.\n The new ECS GPU-optimized AMI is built on the minimal AL2023 base AMI and includes NVIDIA drivers, NVIDIA Fabric Manager, NVIDIA Container Toolkit, and other essential packages needed to run GPU-accelerated container workloads. The new AMI supports a wide range of NVIDIA GPU architectures including Ampere, Turing, Volta, Maxwell, Hopper, and Ada Lovelace, and works out-of-the-box with no additional configuration required. The new AMI is designed for GPU-accelerated applications such as machine learning (ML) and artificial intelligence (AI) workloads running on Amazon ECS. The ECS GPU-optimized AL2023 AMI is now available in all AWS regions. For additional information about running GPU-accelerated workloads with Amazon ECS, refer to the documentation and release notes.
Amazon EventBridge expands enhanced event source discovery to AWS GovCloud (US) Regions
Amazon EventBridge enhanced event source discovery, which displays the source and detail type of all AWS service events during rule creation in the AWS console, is now available in the AWS GovCloud (US) Regions. This makes it easier for customers to discover and utilize the full range of AWS service events when building event-driven architectures. Additionally, the EventBridge documentation now includes an automatically updated list of all AWS service events, providing a single source of truth and ensuring developers always have access to accurate, reliable information.\n Amazon EventBridge Event Bus is a serverless event router that enables you to create highly scalable event-driven applications by routing events between your own applications, third-party SaaS applications, and other AWS services. With this update, developers can quickly search and filter through all available AWS service events, including event types, within the EventBridge console, when configuring event patterns in the sandbox and rules. This enables customers to create event-driven integrations more efficiently while reducing the risk of misconfiguration. This feature is now available in the AWS GovCloud (US-East) and AWS GovCloud (US-West) Regions. You can get started by navigating to the EventBridge console, where you can access the Sandbox or Create Rule page to see the list of all events when building the event pattern. You can also see the updated list of AWS service events in the documentation here.
Amazon SageMaker Inference now supports rolling update for inference component endpoints
Amazon SageMaker Inference now supports rolling updates for inference component (IC) endpoints. This allows customers to update running IC endpoints without traffic interruption while using minimal extra instances, rather than requiring doubled instances as in the past. SageMaker Inference makes it easy to deploy ML models, including foundation models (FMs). As a capability of SageMaker Inference, IC enables customers to deploy multiple FMs on the same endpoint and control accelerator allocation for each model.\n Now, rolling updates enables customers to update ICs within an endpoint batch by batch, instead of all at once like the previous blue/green update method. Blue/green updates required provisioning a new fleet of ICs with the updated model before shifting traffic from the old fleet to the new one, effectively doubling the number of required instances. With rolling updates, new ICs are created in smaller batches, significantly reducing the number of additional instances needed during updates. This helps customers minimize costs from extra capacity and maintain smaller buffer requirements in their capacity reservations. Rolling update for IC is available in all regions where IC is supported: Asia Pacific (Tokyo, Seoul, Mumbai, Singapore, Sydney, Jakarta), Canada (Central), Europe (Frankfurt, Stockholm, Ireland, London), Middle East (UAE), South America (Sao Paulo), US East (N. Virginia, Ohio), and US West (N. California, Oregon). To learn more, see the documentation.
Amazon Connect broadens global telephony coverage
Amazon Connect announces the expansion of access to industry-leading inbound number availability across 158 countries, national outbound numbers in 72 countries, and global international dialing capabilities from any supported AWS commercial region. This expansion increases telephony coverage by an average of 125% across AWS regions. Organizations can now focus on selecting the ideal location for their customer experience operations based on business considerations such as agent availability, language fluency and regulatory needs without being constrained by telecommunications infrastructure. Agents and customers benefit from the reliability, quality, and cost-effectiveness enabled by the AWS global network and Amazon Connect’s direct connections to the 40+ tier-1 carriers closest to your customers.\n With this launch, Amazon Connect reimagines the delivery of voice calls. Traditional telephony networks often introduce quality degradation through multiple interconnection points, variable routing paths, and aging infrastructure. By leveraging the AWS global network backbone – the same high-performance, low-latency private network that powers AWS, call paths are optimized and routed directly to the carrier closest to your customer. This simplified routing enables consistently clear and natural conversations for every call. Access expanded telephony coverage for Amazon Connect in all AWS Regions where Amazon Connect is available, except the AWS GovCloud (US) Regions and Africa (Cape Town). For information about our expanded telephony coverage, see Set Up Contact Center Phone Numbers for your Amazon Connect Instance in the Amazon Connect Administrator Guide.
AWS WAF now supports PCI DSS4.0 compliance protection with partner solutions
AWS WAF’s new partner solutions page, available today, enables you to easily discover and implement PCI DSS v4.0 compliance solutions for your web applications. Choose from industry-leading security providers Human Security and Datadome, who offer client-side protection solutions directly through the AWS WAF console. These partner integrations simplify the process of finding and implementing security solutions, allowing you to quickly subscribe to partner offerings and protect your applications with just a few clicks. The new partner solutions page is designed to help you spend less time researching compliance solutions and more time building secure applications for your customers.\n Getting started is simple and straightforward. Navigate to the new ‘add-on protection’ page in the AWS WAF console, filter for ‘client-side protections’, and choose your preferred partner solution. You maintain a direct relationship with your chosen security provider while benefiting from streamlined discovery and on-boarding through AWS WAF. To get started, visit the AWS WAF console.
AWS WAF Targeted Bot Control is now available in the AWS GovCloud (US) Regions
Starting today, you can use AWS WAF Targeted Bot Control in the AWS GovCloud (US) Regions. AWS WAF Targeted Bot Control protects applications against sophisticated bots targeting critical enterprise applications like e-commerce and financial services websites.\n AWS WAF is a web application firewall that helps you protect your web application resources against common web exploits and bots that can affect availability, compromise security, or consume excessive resources. You can protect the following resource types: Amazon CloudFront distributions, Amazon API Gateway REST APIs, Application Load Balancer, AWS AppSync GraphQL API, AWS App Runner, AWS Verified Access, and Amazon Cognito user pools. To see the full list of regions where AWS WAF is currently available, visit the AWS Region Table. For more information about the service, visit the AWS WAF page. AWS WAF pricing may vary between regions. For more information about pricing, visit the AWS WAF Pricing page.
Amazon Bedrock now supports multi-agent collaboration
Today, AWS announces the general availability (GA) of multi-agent collaboration for Amazon Bedrock, allowing developers to create networks of specialized agents that communicate and coordinate under the guidance of a supervisor agent. This new capability allows you to tackle more intricate, multi-step workflows and scale your AI-driven applications more effectively.\n Amazon Bedrock multi-agent collaboration GA introduces key enhancements designed to improve scalability, flexibility, and operational efficiency. Inline Agents allow you to dynamically adjust agent roles and behaviors at runtime, making workflows more adaptable as your business needs evolve. With Payload Referencing, supervisor agents can reference linked data instead of embedding it in every request, reducing data transfer, improving response times, and lowering operational costs. Additionally, multi-agent now offers CloudFormation (CFN) and Cloud Development Kit (CDK) support so you can create reusable teams of agents as templates that can be shared across accounts within an organization.
This release also introduces agent monitoring and observability features, helping you track, monitor, and optimize agent interactions more efficiently. These features improve debugging and traceability, ensuring better visibility into agent workflows and making troubleshooting easier for developers.
Multi-agent collaboration on Amazon Bedrock is now available in all AWS Regions where Amazon Bedrock is supported. To learn more about this feature and how it can help you build more sophisticated AI applications, see the Amazon Bedrock product page or refer to the documentation for detailed information on getting started.
AWS Blogs
AWS Japan Blog (Japanese)
- Weekly Generative AI with AWS — 2025/3/3
- AWS Weekly — 2025/3/3
- Scale and deliver game streaming experiences using Amazon GameLift Streams
- AWS Chatbot changed its name to Amazon Q Developer
- NEW YEAR, NEW HEROES — MARCH 2025
AWS News Blog
- DeepSeek-R1 now available as a fully managed serverless model in Amazon Bedrock
- AWS Weekly Roundup: Amazon Q CLI agent, AWS Step Functions, AWS Lambda, and more (March 10, 2025)
AWS Big Data Blog
Containers
AWS Database Blog
Desktop and Application Streaming
Front-End Web & Mobile
AWS Machine Learning Blog
- Transforming financial analysis with CreditAI on Amazon Bedrock: Octus’s journey with AWS
- Optimize reasoning models like DeepSeek with prompt optimization on Amazon Bedrock
- Amazon Bedrock announces general availability of multi-agent collaboration