Kategorie: Amazon AWS

Apache Spark lineage now available in Amazon SageMaker Unified Studio for IDC based domains

Amazon SageMaker announces general availability of Data Lineage for Apache Spark jobs executed on Amazon EMR and AWS Glue in SageMaker Unified Studio for IDC based domains. Data Lineage provides you with the information you need to identify the root cause of complex issues and understand the impact of changes. This feature supports lineage capture of schema and transformations of data assets and columns from Spark executions in EMR-EC2, EMR-Serverless, EMR-EKS, and AWS Glue. You can then explore this lineage visually as a graph in SageMaker Unified Studio or query it using APIs. You can also use lineage to compare transformations across Spark job’s history. Spark lineage is available in all existing SageMaker Unified Studio regions. For detailed information on how to get started with lineage using these new features, refer to the documentation.
Quelle: aws.amazon.com

Structured outputs now available in Amazon Bedrock

Amazon Bedrock now supports structured outputs, a capability that provides consistent, machine-readable responses from foundation models that adhere to your defined JSON schemas. Instead of prompting for valid JSON and adding extra checks in your application, you can specify the format you want and receive responses that match it—making production workflows more predictable and resilient. Structured outputs helps with common production tasks such as extracting key fields and powering workflows that use APIs or tools, where small formatting errors can break downstream systems. By ensuring schema compliance, it reduces the need for custom validation logic and lowers operational overhead through fewer failed requests and retries—so you can confidently deploy AI applications that require predictable, machine-readable outputs. You can use structured outputs in two ways: define a JSON schema that describes the response format you want, or use strict tool definitions to ensure a model’s tool calls match your specifications. Structured outputs is generally available for Anthropic Claude 4.5 models and select open-weight models across the Converse, ConverseStream, InvokeModel, and InvokeModelWithResponseStream APIs in all commercial AWS Regions where Amazon Bedrock is supported. To learn more about structured outputs and the supported models, visit the Amazon Bedrock documentation.
Quelle: aws.amazon.com

Amazon EC2 G7e instances now available in US West (Oregon) region

Starting today, Amazon EC2 G7e instances accelerated by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs are now available in US West (Oregon) region. G7e instances offer up to 2.3x inference performance compared to G6e.
Customers can use G7e instances to deploy large language models (LLMs), agentic AI models, multimodal generative AI models, and physical AI models. G7e instances offer the highest performance for spatial computing workloads as well as workloads that require both graphics and AI processing capabilities. G7e instances feature up to 8 NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, with 96 GB of memory per GPU, and 5th Generation Intel Xeon processors. They support up to 192 virtual CPUs (vCPUs) and up to 1600 Gbps of networking bandwidth. G7e instances support NVIDIA GPUDirect Peer to Peer (P2P) that boosts performance for multi-GPU workloads. Multi-GPU G7e instances also support NVIDIA GPUDirect Remote Direct Memory Access (RDMA) with EFA in EC2 UltraClusters, reducing latency for small-scale multi-node workloads.
You can use G7e instances for Amazon EC2 in the following AWS Regions: US West (Oregon), US East (N. Virginia) and US East (Ohio). You can purchase G7e instances as On-Demand 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 G7e instances.
Quelle: aws.amazon.com

Cartesia Sonic 3 text-to-speech model is now available on Amazon SageMaker JumpStart

Cartesia’s Sonic 3 model is now available in Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. Sonic 3 is Cartesia’s latest state space model (SSM) for streaming text-to-speech (TTS), delivering high naturalness, accurate transcript following, and industry-leading latency with fine-grained control over volume, speed, and emotion.
Sonic 3 supports 42 languages and provides advanced controllability through API parameters and SSML tags for volume, speed, and emotion adjustments. The model includes natural laughter support, stable voices optimized for voice agents, and emotive voices for expressive characters. With sub-100ms latency, Sonic 3 enables real-time conversational AI that captures human speech nuances including emotions and tonal shifts. With SageMaker JumpStart, customers can deploy Sonic 3 with just a few clicks to address their voice AI use cases. To get started with this model, navigate to the SageMaker JumpStart model catalog in the SageMaker Studio or use the SageMaker Python SDK to deploy the model to your AWS account. For more information about deploying and using foundation models in SageMaker JumpStart, see the Amazon SageMaker JumpStart documentation.
Quelle: aws.amazon.com

AWS Batch now supports unmanaged compute environments for Amazon EKS

AWS Batch now extends its job scheduling capabilities to unmanaged compute environments on Amazon EKS. With unmanaged EKS compute environments, you can leverage AWS Batch’s job orchestration while maintaining full control over your Kubernetes infrastructure for security, compliance, or operational requirements. With this capability, you can create unmanaged compute environments through CreateComputeEnvironment API and AWS Batch console by selecting your existing EKS cluster and specifying a Kubernetes namespace, then associate your EKS nodes with the compute environment using kubectl labeling. AWS Batch supports developers, scientists, and engineers in running efficient batch processing for ML model training, simulations, and analysis at any scale. Unmanaged compute environments on Amazon EKS are available today in all AWS regions where AWS Batch is available. For more information, see the AWS Batch User Guide.
Quelle: aws.amazon.com

Amazon RDS now provides an enhanced console experience to connect to a database

Amazon RDS now provides an enhanced console experience that consolidates and provides all relevant information needed to connect to a database in one place, making it easier to connect to your RDS databases. The new console experience provides ready-made code snippets for Java, Python, Node.js and other programming languages as well as tools like the psql command line utility. These code snippets are automatically adjusted based on your database’s authentication settings. For example, if your cluster uses IAM authentication, the generated code snippets will use token-based authentication to connect to the database. The console experience also includes integrated CloudShell access, offering the ability to connect to your databases directly from within the RDS console. This feature is available for Amazon Aurora PostgreSQL, Amazon Aurora MySQL, Amazon RDS for PostgreSQL, Amazon RDS for MySQL, Amazon RDS for MariaDB database engines across all commercial AWS Regions. Get started with the new console experience for database connectivity through the Amazon RDS Console. To learn more, see the Amazon RDS and Aurora user guide
Quelle: aws.amazon.com

Amazon DynamoDB global tables now support replication across multiple AWS accounts

Amazon DynamoDB global tables now support replication across multiple AWS accounts. DynamoDB global tables is a fully managed, serverless, multi-Region, and multi-active database used by tens of thousands of customers to power business-critical applications. With this new capability, you can replicate tables across AWS accounts and Regions to improve resiliency, isolate workloads at the account level, and apply distinct security and governance controls. For multi-account global tables, DynamoDB automatically replicates tables across AWS accounts and Regions. This capability allows you to strengthen fault tolerance and helps ensure applications remain highly available even during account-level disruptions, while allowing customers to align data placement with organizational and security requirements. Multi-account global tables are ideal for customers that adopt multi-account strategies or use AWS Organizations to improve security isolation, enforce data perimeter guardrails, implement disaster recovery (DR), or separate workloads by business unit. Multi-account global tables is available in all AWS Regions and is billed according to existing global tables pricing. To get started, see the DynamoDB global tables documentation, and visit the AWS developer guide to learn more about the benefits of using a multi-account strategy for your AWS environment.
Quelle: aws.amazon.com

AWS Marketplace introduces localized billing for Professional Services from AWS EMEA

AWS Marketplace now offers a more localized experience for Europe, Middle East, and Africa (EMEA) customers purchasing Professional Service solutions via AWS EMEA Marketplace Operator. Customers can now procure Professional Services using localized payment methods and receive invoices from AWS EMEA. This removes previous procurement barriers caused by complex payment remittance processes between different AWS entities, which made it difficult for EMEA customers to purchase Professional Services through AWS Marketplace. Key benefits include support for SEPA (Single Euro Payment Area) payment methods and invoicing consistency from the same AWS entity covering all AWS Marketplace purchases via AWS EMEA Marketplace Operator. This capability is ideal for EMEA customers purchasing consulting, implementation, or managed services through AWS Marketplace. It also benefits organizations that prefer local payment methods such as SEPA direct debit, want to consolidate AWS and Marketplace billing, or are seeking a simpler procurement experience for Professional Services. This capability is available for EMEA customers who purchase professional services solutions in AWS Marketplace, with AWS EMEA as the Marketplace Operator. To learn more about purchasing Professional Services products in AWS Marketplace and receive invoices issued by AWS EMEA, visit the AWS Marketplace Buyer Guide and AWS EMEA Marketplace FAQs. For more information on how to add a bank account for SEPA, see Managing Your SEPA Direct Debit Payment Method in the AWS Billing and Cost Management user guide. 
Quelle: aws.amazon.com

AWS IAM Identity Center enables account access and application use in multiple AWS Regions

IAM Identity Center helps you configure the single sign-on experience of your workforce to AWS accounts and applications. You can now replicate IAM Identity Center from the primary AWS Region where you first enabled it to additional Regions of your choice. This feature enhances resilience of user access to AWS accounts and helps you deploy AWS applications in the AWS Regions that best align with your business needs such as application data residency and proximity to users.
When you enable this feature, IAM Identity Center automatically replicates your identities, entitlements, and other information from the primary Region to additional Regions. If IAM Identity Center is affected by a disruption in the primary Region, IAM Identity Center users continue to have access to their AWS accounts using the already provisioned entitlements in the additional Regions. 
AWS application administrators can use the standard application deployment workflow to deploy their application in an additional Region. They can assign users to the application in that Region, while you continue to administer IAM Identity Center in the primary Region. IAM Identity Center multi-Region support is currently available in the 17 enabled-by-default commercial AWS Regions for organization instances of IAM Identity Center connected to an external identity provider, such as Okta. The IAM Identity Center organization instance must be configured with a multi-Region customer managed KMS key (CMK). To find out which AWS applications support deployment in additional Regions, visit AWS applications that you can use with IAM Identity Center. Standard AWS KMS charges apply for storing and using CMKs. IAM Identity Center is provided at no additional cost. To learn more about IAM Identity Center, visit the product detail page. To get started, see the IAM Identity Center User Guide. 
Quelle: aws.amazon.com

AWS Management Console now displays Account Name on the Navigation bar for easier account identification

Today, AWS announces the general availability of displaying account name in AWS Management Console across all Public Regions. AWS customers now have an easy way to identify their accounts at a glance. Users can now quickly distinguish between accounts visually using the account name that appears in the navigation bar for all authorized users in that account. AWS customers manage multiple accounts to separate their workloads, such as maintaining distinct accounts for development and production environments or for different business units. Previously, users had to rely on account numbers to identify accounts. With this new feature, all authorized users can quickly identify the account using its name on the navigation bar. The account name display feature is available at no additional cost in all public AWS Regions. To get started, make sure your administrator has enabled the feature (visit our managed policy documentation) and sign in to AWS Management Console. 
Quelle: aws.amazon.com