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Amazon Redshift Serverless now makes AI-driven scaling and optimization the default for all new workgroups. AI-driven scaling uses machine learning to predict compute needs and automatically adjust resources before queries queue, delivering better price-performance without manual tuning. This release also expands support to workloads with a Base RPU range of 8–512 RPU, up from the previous 32–512 RPU, reducing the entry cost for AI-driven scaling. With AI-driven scaling and optimization, Amazon Redshift monitors your workload patterns and automatically adjusts compute resources based on query complexity, data volume, and expected data scan size. You can use the price-performance slider to choose whether to prioritize cost, performance, or a balance of both. Amazon Redshift also applies additional optimizations, including automatic materialized views and automatic table design optimization, to meet your selected target. To configure price-performance targets, use the AWS

Amazon Redshift Serverless, which allows you to run and scale analytics without having to provision and manage data warehouse clusters, is now generally available in the AWS Asia Pacific (Melbourne) and Canada West (Calgary) regions. With Amazon Redshift Serverless, all users, including data analysts, developers, and data scientists, can use Amazon Redshift to get insights from data in seconds. Amazon Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver high performance for all your analytics. You only pay for the compute used for the duration of the workloads on a per-second basis. You can benefit from this simplicity without making any changes to your existing analytics and business intelligence applications. With a few clicks in the AWS Management Console, you can get started with querying data using the Query Editor V2 or your tool of choice with A

AWS Key Management Service (KMS) now provides visibility into the last cryptographic operation performed with your KMS keys, eliminating the need to manually query and analyze logs. This feature helps security administrators and compliance teams quickly determine when their KMS keys were last used for cryptographic operations. You can view the timestamp, the type of operation performed, and the associated AWS CloudTrail event ID from the AWS KMS management console, or via API. You can use this feature to help identify unused keys for cleanup, verify that keys are actively used, and track down how your keys are used in AWS CloudTrail. In addition, you can use the new condition key (kms:TrailingDaysWithoutKeyUsage) that enables policy-based protection against accidental deletion of recently used keys. The feature is available in al

Amazon Connect now supports attachment file sizes up to 100 MB for chat, cases, and tasks, up from the previous 20 MB limit. Administrators can enable these higher limits and configure custom file extensions for attachments across chat, email, cases, and tasks through the Amazon Connect admin website or Amazon Connect APIs. A technology company supporting enterprise customers can now accept files like diagnostic bundles and log archives up to 100 MB through chat, reducing back-and-forth and helping agents resolve issues faster. A financial services firm can add file extensions for signed contracts or compliance documents, giving customers the ability to attach paperwork directly in chat or email. You can use these features in the following AWS Regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Seoul), Asia Pacific (Osaka), Asia Pacific (Singap

You can now create Amazon FSx for OpenZFS Single-AZ (HA) file systems in seventeen additional AWS Regions across the South America, Europe, Africa, Asia Pacific, and AWS GovCloud (US). Amazon FSx for OpenZFS provides fully managed, cost-effective, shared file storage powered by the popular OpenZFS file system. It’s designed to deliver sub-millisecond latencies and multi-GB/s throughput along with rich ZFS-powered data management capabilities (like snapshots, data cloning, and compression). Single-AZ (HA) file systems are a cost-effective solution for workloads that need high availability but don’t need storage redundancy across multiple availability zones, such as data analytics, machine learning, and semiconductor chip design. With this expansion, FSx for OpenZFS Single-AZ (HA) file systems are now available in the following additional AWS Regions: Africa (Cape Town), Asia Pacific (Hyderabad, Jakarta, Malaysia, Osaka, Taipei, Thailand), Canada West (Calgary), Eu

Amazon SageMaker HyperPod now supports G7e and r5d.16xlarge instances. SageMaker HyperPod is a purpose-built infrastructure for developing, training, and deploying foundation models at scale. It provides a resilient and performant environment with built-in fault tolerance, automated cluster recovery, and optimized distributed training libraries, reducing the undifferentiated heavy lifting of managing large-scale AI/ML infrastructure.  G7e instances are powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs and deliver up to 2.3x better inference performance than G6e instances, allowing you to process more requests per second while reducing latency. With up to 768 GB of total GPU memory, G7e instances let you deploy larger language models or run multiple models on a single endpoint. You can use these instances for deploying LLMs, agentic AI, multimodal generative AI, and physical AI models

AWS is announcing the general availability of Amazon EC2 C8ine and Amazon EC2 M8ine instances, powered by custom sixth generation Intel Xeon Scalable processors, available only on AWS. These also instances feature the latest sixth generation AWS Nitro cards. C8ine and M8ine instances deliver up to 43% higher performance compared to previous generation C6in and M6in instances. C8ine and M8ine instances offer up to 2.5 times higher packet performance per vCPU versus prior generation network optimized instances. They provide up to 2x higher network throughput for traffic going through Internet gateways compared to existing C6in and M6in network optimized instances.  Both instance families are designed for security and network virtual appliances, including virtual firewalls, load balancers, and Telco 5G UPF workloads. Amazon EC2 C8ine instances are available in US East (N. Virginia), US West (Oregon), and Asia Pacific (Tokyo), while Amazon EC2 M8ine instanc

AWS is announcing the general availability of memory optimized Amazon EC2 R8in network optimized instances and Amazon EC2 R8ib EBS optimized instances. These new instances are powered by custom sixth generation Intel Xeon Scalable processors, available only on AWS. These instances also feature the latest sixth generation AWS Nitro cards. M8in and M8ib deliver up to 43% higher performance compared to previous generation M6in and M6ib instances. R8in instances deliver 600 Gbps network bandwidth, the highest network bandwidth among enhanced networking EC2 instances, and are ideal for workloads such as real-time big data analytics, caching fleets for AI/ML clusters, and distributed web scale in-memory caches. R8ib instances deliver up to 300Gbps EBS bandwidth, the highest among non-accelerated compute EC2 instances, and are best suited for workloads that benefit from high block storage performance, such as large commercial databases, data lakes, SQL and NoSQL databases

AWS is announcing the general availability of Amazon EC2 M8in network optimized instances and Amazon EC2 M8ib EBS optimized instances. The new instances are powered by custom sixth generation Intel Xeon Scalable processors, available only on AWS. These instances also feature the latest sixth generation AWS Nitro cards. M8in and M8ib deliver up to 43% higher performance compared to previous generation M6in and M6ib instances. M8in instances deliver 600 Gbps network bandwidth, the highest network bandwidth among enhanced networking EC2 instances, and are ideal for workloads such as real-time big data analytics, distributed web scale in-memory caches, caching fleets for AI/ML clusters, and Telco applications such as 5G User Plane Function (UPF). M8ib instances deliver up to 300Gbps EBS bandwidth, the highest among non-accelerated compute EC2 instances, and are best suited for workloads that benefit from high block storage performance, such as high-performance file sys

AWS announces availability of new Linux bundles for Amazon WorkSpaces Personal, including Rocky Linux 9, Red Hat Enterprise Linux 9, and Ubuntu 24.04. With these bundles, customers can launch WorkSpaces powered by the latest enterprise-grade Linux operating systems and take advantage of modern versions of Linux packages only available in these updated releases. While Rocky Linux 8, Red Hat Enterprise Linux 8, and Ubuntu 22.04 powered WorkSpaces bundles remain available, the new OS options bring access to the latest software ecosystems, improved security postures, and extended long-term support lifecycles offered by each respective distribution. These new bundles also provide a migration path for Amazon Linux 2 customers ahead of its end of life in June 2026. You can get started using managed Rocky Linux 9, Red Hat Enterprise Linux 9, or Ubuntu 24.04 WorkSpaces bundles by selecting one when creating a new Linux WorkSpace. These new bundles are available in all AWS R