Amazon EC2 C8i instances are now available in AWS Europe (London) region

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8i instances are available in the Europe (London) region. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. These C8i instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver up to 20% higher performance than C7i instances, with even higher gains for specific workloads. The C8i are up to 60% faster for NGINX web applications, up to 40% faster for AI deep learning recommendation models, and 35% faster for Memcached stores compared to C7i. C8i instances are a great choice for all memory-intensive workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. C8i instances offer 13 sizes including 2 bare metal sizes and the new 96xlarge size for the largest applications. To get started, sign in to the AWS Management Console. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information about the new C8i instances visit the AWS News blog.
Quelle: aws.amazon.com

Amazon Bedrock Reserved Tier available now for Claude Sonnet 4.5 in AWS GovCloud (US-West)

Today, Amazon Bedrock introduces the expansion of the Reserved service tier designed for workloads requiring predictable performance and guaranteed tokens-per-minute capacity. The Reserved tier provides the ability to reserve prioritized compute capacity, keeping service levels predictable for your mission critical applications. It also includes the flexibility to allocate different input and output tokens-per-minute capacities to match the exact requirements of your workload and control cost. This is particularly valuable because many workloads have asymmetric token usage patterns. For instance, summarization tasks consume many input tokens but generate fewer output tokens, while content generation applications require less input and more output capacity. When your application needs more tokens-per-minute capacity than what you reserved , the service automatically overflows to the pay-as-you-go Standard tier, ensuring uninterrupted operations. The Reserved tier is available today for Anthropic Claude Sonnet 4.5 in AWS GovCloud (US-West). Customers can reserve capacity for 1 month or 3 month duration. Customers pay a fixed price per 1K tokens-per-minute and are billed monthly. Amazon Bedrock Reserved Tier is available for customers in AWS GovCloud (US-West) via GOV-CRIS cross-region profile. With the expansion of the Reserved service tier, Amazon Bedrock continues to provide more choice to customers, helping them develop, scale, and deploy applications and agents that improve productivity and customer experiences while balancing performance and cost requirements. For more information about the AWS Regions where Amazon Bedrock Reserved tier is available, refer to the Documentation. To get access to the Reserved tier, please contact your AWS account team. 
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Amazon EC2 C8gn instances are now available in additional regions

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8gn instances, powered by the latest-generation AWS Graviton4 processors, are available in the AWS Region Asia Pacific (Mumbai), Africa (Cape Town), Europe (Ireland, London), Canada West (Calgary). The new instances provide up to 30% better compute performance than Graviton3-based Amazon EC2 C7gn instances. Amazon EC2 C8gn instances feature the latest 6th generation AWS Nitro Cards, and offer up to 600 Gbps network bandwidth, the highest network bandwidth among network optimized EC2 instances.    Take advantage of the enhanced networking capabilities of C8gn to scale performance and throughput, while optimizing the cost of running network-intensive workloads such as network virtual appliances, data analytics, CPU-based artificial intelligence and machine learning (AI/ML) inference.    For increased scalability, C8gn instances offer instance sizes up to 48xlarge, up to 384 GiB of memory, and up to 60 Gbps of bandwidth to Amazon Elastic Block Store (EBS). C8gn instances support Elastic Fabric Adapter (EFA) networking on the 16xlarge, 24xlarge, 48xlarge, metal-24xl, and metal-48xl sizes, which enables lower latency and improved cluster performance for workloads deployed on tightly coupled clusters.    C8gn instances are available in the following AWS Regions: US East (N. Virginia, Ohio), US West (Oregon, N.California), Europe (Frankfurt, Stockholm, Ireland, London), Asia Pacific (Singapore, Malaysia, Sydney, Thailand, Mumbai), Middle East (UAE), Africa (Cape Town), Canada West (Calgary).    To learn more, see Amazon C8gn Instances. To begin your Graviton journey, visit the Level up your compute with AWS Graviton page. To get started, see AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.
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Amazon EMR Serverless now supports AWS KMS customer managed keys for encrypting local disks

Amazon EMR Serverless now supports encrypting local disks with AWS Key Management Service (KMS) customer managed keys (CMKs). You can now meet strict regulatory and compliance requirements with additional encryption options beyond default AWS-owned keys, giving you greater control over your encryption strategy. Amazon EMR Serverless is a deployment option in Amazon EMR that makes it simple for data engineers and data scientists to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers. Local disks on EMR Serverless workers are encrypted by default using AWS-owned keys. With this launch, customers who have strict regulatory and compliance needs can encrypt local disks with AWS KMS customer managed keys (CMKs) in the same account or from another account. This integration is supported on new or existing EMR Serverless applications and on all supported EMR release versions. You can specify the AWS KMS customer managed key at the application level where it applies to all workloads submitted on the application or you can specify the AWS KMS customer managed key for a specific job run or interactive session. This feature is available in all supported EMR Releases and in all AWS Regions where Amazon EMR Serverless is available including AWS GovCloud (US) and China regions. To learn more, see Local Disk Encryption with AWS KMS CMK in the Amazon EMR Serverless User Guide.
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AWS Clean Rooms adds support for join and partition hints in SQL

AWS Clean Rooms announces support for join and partition hints for SQL queries, enabling optimization of join strategies and data partitioning for improved query performance and reduced costs. This launch enables you to apply SQL hints to your queries using comment-style syntax in pre-approved analysis templates as well as ad hoc SQL queries. You can now optimize large table joins using a broadcast join hint and you can improve data distribution with partition hints for better parallel processing. For example, a measurement company analyzing how many households viewed a live sports event uses a broadcast join hint on their lookup table to improve query performance and reduce costs. With AWS Clean Rooms, customers can create a secure data clean room in minutes and collaborate with any company on AWS or Snowflake to generate unique insights about advertising campaigns, investment decisions, and research and development. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about collaborating with AWS Clean Rooms, visit AWS Clean Rooms.
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Amazon Connect can now automatically select random samples of agent contacts for evaluation

Amazon Connect can now provide managers with random samples of agent contacts for evaluation, so they can provide fair coaching feedback to agents. Managers can specify how many contacts they need to review per agent, as per union agreements, regulations, or internal guidelines. They then receive the required number of contacts randomly selected from the specified timeframe, for example, 3 contacts per agent from the last week. Additionally, managers can use new filters to ensure that the selected contacts are suitable for evaluation, such as those with audio or screen recordings, transcripts, and exclude previously evaluated contacts. This feature is available in all regions where Amazon Connect is offered. To learn more, please visit our documentation and our webpage.
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Amazon SageMaker HyperPod introduces enhanced lifecycle scripts debugging

Amazon SageMaker HyperPod now provides enhanced troubleshooting capabilities for lifecycle scripts, making it easier to identify and resolve issues during cluster node provisioning. SageMaker HyperPod helps you provision resilient clusters for running AI/ML workloads and developing state-of-the-art models such as large language models (LLMs), diffusion models, and foundation models (FMs). When lifecycle scripts encounter issues during cluster creation or node operations, you now receive detailed error messages that include the specific CloudWatch log group and log stream names where you can find execution logs for lifecycle scripts. You can view these error messages by running the DescribeCluster API or by viewing the cluster details page in the SageMaker console. The console also provides a “View lifecycle script logs” button that navigates directly to the relevant CloudWatch log stream, making it easier to locate logs. Additionally, CloudWatch logs for lifecycle scripts now include specific markers to help you track lifecycle script execution progress, including indicators for when the lifecycle script log begins, when scripts are being downloaded, when downloads complete, and when scripts succeed or fail. These markers help you quickly identify where issues occurred during the provisioning process. These enhancements reduce the time required to diagnose and fix lifecycle script failures, helping you get your HyperPod clusters up and running faster. This feature is available in all AWS Regions where Amazon SageMaker HyperPod is supported. To learn more, see SageMaker HyperPod cluster management in the Amazon SageMaker Developer Guide.
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Amazon Quick Suite launches expanded size, faster ingestion, and richer data type support for SPICE datasets

Amazon Quick Suite SPICE engine is now supporting higher scale, faster ingestion, and broader data types to power advanced analytics and AI-driven workloads. With this launch, customers can load up to 2TB of data per dataset, doubling the previous 1TB limit, when using the new data preparation experience. Despite the increased dataset size, SPICE continues to deliver strong performance, with ingestion further optimized to enable even faster data loading and refresh to reduce time to insight. We’ve also expanded SPICE’s data type support by increasing string length limits from 2K to 64K Unicode characters and extending the supported timestamp range from year 1400 back to year 0001. As Quick Suite customers bring richer, more complex, and increasingly AI-driven workloads into SPICE, these enhancements enable broader data coverage, faster data onboarding, and more powerful analytics, without compromising performance. To learn more, visit our documentation. The new SPICE dataset size limitation is now available in Amazon Quick Sight Enterprise Editions across all supported Amazon Quick Sight regions. 
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Amazon RDS for Oracle extends support for bare metal instances to Standard Edition 2

Amazon RDS for Oracle now supports bare metal instances with Bring Your Own License (BYOL) license for Oracle Standard Edition 2. You can use M7i, R7i, X2iedn, X2idn, X2iezn, M6i, M6id, M6in, R6i, R6id, and R6in bare metal instances at 25% lower price compared to equivalent virtualized instances. With bare metal instances, you may be able to reduce your commercial database license and support costs by using bare metal instances since they provide full visibility into the number of CPU cores and sockets of the underlying server. Most bare metal instances have 2 sockets while db.m7i.metal-24xl and db.r7i.metal-24xl instances each have a single socket. Consult your legal or licensing partner to determine if you can use bare metal instances with Oracle Standard Edition 2 and if you can reduce license and support costs. Bare metal instances are available with Bring Your Own License (BYOL) license for Oracle Enterprise Edition Standard Edition 2. Refer to Amazon RDS for Oracle Pricing for available instance configurations, pricing, and region availability.
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AWS expands managed integrations for AWS IoT Device Management service coverage to the Middle East (UAE) region

AWS IoT Device Management now offers the managed integrations feature in the Middle East (UAE) region. Organizations operating in this region can now better serve their local customers, helping them build unified Internet of Things (IoT) solutions that can easily onboard and manage diverse IoT devices through a single interface, regardless of connection type – direct, hub-based, or third-party cloud-based. Managed integrations provides developers with a unified interface and device SDKs supporting ZigBee, Z-Wave, Matter and Wi-Fi protocols. The feature includes partner built cloud-to-cloud connectors and 80+ device data model templates based on AWS’s implementation of the Matter data model standard. These capabilities allow developers to rapidly integrate devices into end user applications, such as home security, energy management, and elderly care monitoring. The managed integrations feature is available in Canada (Central), Europe (Ireland) and Middle East (UAE) regions. To learn more, refer to the developer guide and get started on the AWS IoT console.
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