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 (Seoul, Melbourne), Canada (Central), Europe (Spain), and AWS GovCloud (US-East, US-West). 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, Spain), Asia Pacific (Singapore, Malaysia, Sydney, Thailand, Mumbai, Seoul, Melbourne), Middle East (UAE), Africa (Cape Town), Canada West (Calgary, Central), AWS GovCloud (US-East, US-West).
 
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 .

Amazon Elastic Compute Cloud (EC2) C8id, M8id, and R8id instances powered by custom Intel Xeon 6 processors feature up to 384 vCPUs, 3TiB of memory, and 22.8TB of NVMe SSD storage and deliver up to 43% higher performance and 3.3x more memory bandwidth compared to previous generation C6id, M6id, and R6id instances. Starting today, C8id and M8id instances are available in Europe (Frankfurt) and Asia Pacific (Tokyo) regions, with M8id also available in Europe (Spain) region. Additionally, R8id instances are now available in Europe (Spain) and Asia Pacific (Tokyo) regions.

These instances deliver up to 46% higher performance for I/O intensive database workloads, and up to 30% faster query results for I/O intensive real-time data analytics than previous sixth-generation instances. Additionally, these instances support Instance Bandwidth Configuration, allowing 25% flexible allocation between network and EBS bandwidth, allocating resources optimally for each workload.

C8id instances are ideal for compute-intensive workloads such as high-performance web servers, batch processing, distributed analytics, ad serving, video encoding, and gaming servers. M8id instances are well-suited for balanced workloads including application servers, microservices, enterprise applications, and small to medium databases. R8id instances are ideal for memory-intensive workloads such as in-memory databases, real-time big data analytics, large in-memory caches, and scientific computing applications.

C8id, M8id and R8id instances are available in US East (N. Virginia, Ohio), US West (Oregon), Europe (Frankfurt), and Asia Pacific (Tokyo) regions. M8id and R8id instances are additionally available in Europe (Spain) region. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information visit the Amazon EC2 instance type page.

Amazon Athena now supports 1-minute Capacity Reservations and a lower minimum capacity of 4 Data Processing Units (DPUs) for all reservations. Now, you can get started with less capacity and make more frequent, fine-grained adjustments to match your workload patterns—with no long-term commitments and cost savings up to 95% for short-duration query workloads.

Capacity Reservations provides dedicated serverless compute and is ideal for workloads requiring query prioritization and concurrency controls. You pay only for capacity that you reserve and there are no data scanned charges. Reserved capacity works seamlessly with existing Athena queries and workgroups—simply attach workgroups to a reservation and submit queries with no changes in your SQL queries or application code required.

To learn more, see the Athena User Guide and Athena pricing page.

Amazon Bedrock now supports six new models spanning frontier reasoning and agentic coding: DeepSeek V3.2, MiniMax M2.1, GLM 4.7, GLM 4.7 Flash, Kimi K2.5, and Qwen3 Coder Next. These six models bring customers access to the most capable open weights models available today, delivering frontier-class performance at significantly lower inference costs. They collectively cover the full spectrum of enterprise AI workloads: DeepSeek V3.2 and Kimi K2.5 push the frontier on reasoning and agentic intelligence, GLM 4.7 and Minimax 2.1 set new standards for autonomous coding with massive output windows, and Qwen3 Coder Next and GLM 4.7 Flash offer lightweight, cost-efficient alternatives purpose-built for production deployment.

These models on Amazon Bedrock are powered by Project Mantle, a new distributed inference engine for large-scale machine learning model serving on Amazon Bedrock. Project Mantle simplifies and expedites onboarding of new models onto Amazon Bedrock, provides highly performant and reliable serverless inference with sophisticated quality of service controls, unlocks higher default customer quotas with automated capacity management and unified pools, and provides out-of-the-box compatibility with OpenAI API specifications.

To learn more and get started, visit Amazon Bedrock console  or the service documentation here . To get started with Amazon Bedrock OpenAI API-compatible service endpoints, visit documentation here .

Amazon Aurora Global Database now supports managed minor version upgrades across your global topology with minimal downtime, eliminating the need to manually upgrade each cluster individually and reducing operational overhead for global cluster management.

Aurora Global Database allows a single Aurora database to span up to 11 AWS Regions, providing disaster recovery from Region-wide outages and enabling fast local reads for globally distributed applications. You can now perform managed minor version upgrades through the AWS Management Console, SDK, or CLI and all the global clusters, across Regions, are upgraded to the selected minor version, eliminating the need to manually upgrade each cluster individually.

This capability is currently only supported for Aurora PostgreSQL-compatible engines  and available in all commercial AWS Regions  and AWS GovCloud (US) Regions . To learn more about managed minor version upgrades, see our documentation .

Amazon SageMaker HyperPod now enables you to manage individual cluster nodes directly from the AWS Console. HyperPod cluster operators managing large-scale AI/ML workloads often need to connect to nodes for troubleshooting, reboot unresponsive instances, or replace degraded nodes. Connecting to a node previously required manually constructing SSM connection strings, while node recovery actions such as reboot and replace required CLI commands — the console now provides a single interface for all node actions.

With node actions in the console, you can now connect to any node via AWS Systems Manager (SSM). The console provides pre-populated SSM CLI commands with copy-to-clipboard support, and direct SSM session launch in the console. While SageMaker HyperPod clusters already support automatic replacement and reboot of unhealthy instances, there are scenarios such as memory overruns or undetectable hardware degradation that may require manual intervention. Now, node actions in the console provide a consistent approach to manually reboot nodes to recover from transient issues, delete unhealthy nodes, and replace nodes, with batch operations supporting multiple node actions simultaneously, enabling you to resolve node issues in minutes. This capability is especially valuable when running time-sensitive AI training and inference workloads where minimizing downtime is essential.

This feature is available in all AWS Regions where Amazon SageMaker HyperPod is supported. You can perform all these node actions in the HyperPod Cluster management page on console. Click on the respective links to learn more about replace/reboot and connecting to a node .

Amazon DocumentDB (with MongoDB compatibility) is now available in the Asia Pacific (Melbourne) region adding to the list of available regions where you can use Amazon DocumentDB .

Amazon DocumentDB is a fully managed, native JSON database that makes it simple and cost-effective to operate critical document workloads at virtually any scale without managing infrastructure. Amazon DocumentDB is designed to give you the scalability and durability you need when operating mission-critical MongoDB workloads. Storage scales automatically up to 128TiB without any impact to your application. In addition, Amazon DocumentDB natively integrates with AWS Database Migration Service (DMS), Amazon CloudWatch, AWS CloudTrail, AWS Lambda, AWS Backup and more. Amazon DocumentDB supports millions of requests per second and can be scaled out to 15 low latency read replicas in minutes with no application downtime.

To learn more about Amazon DocumentDB, please visit the Amazon DocumentDB product page and pricing page .

You can create a Amazon DocumentDB cluster from the AWS Management console , AWS Command Line Interface (CLI) , or SDK.

Today, AWS announces the release of Audio Enhancement for Amazon Connect, helping improve audio quality and reliability for voice calls in noisy contact center environments. With this launch, you can enable Audio Enhancement for your agents so that end customers can hear them more clearly, even in the presence of background noise within the contact center environment.

The Audio Enhancement capability suppresses agent-side background noises and isolates agent voices, removing the effect of background noise and chatter in busy contact center environments. Audio Enhancement offers two specialized modes to match different agent setups. The “Voice Isolation” mode suppresses noises as well as background speech within the contact center, while the “Noise Suppression” mode only suppresses background noises. Contact center administrators can enable these capabilities for agents through the User Management page and select the appropriate mode based on their equipment and setup. Agents with proper permissions can also adjust their settings directly from the Contact Control Panel to optimize for their current environment.

The Audio Enhancement capability is available in all commercial AWS Regions where Amazon Connect is offered.

To learn more about Amazon Connect Audio Enhancement, please see the Amazon Connect website and the Amazon Connect Administrator Guide . 

Amazon DocumentDB (with MongoDB compatibility) is now available in the Europe (Zurich) region adding to the list of available regions where you can use Amazon DocumentDB .

Amazon DocumentDB is a fully managed, native JSON database that makes it simple and cost-effective to operate critical document workloads at virtually any scale without managing infrastructure. Amazon DocumentDB is designed to give you the scalability and durability you need when operating mission-critical MongoDB workloads. Storage scales automatically up to 128TiB without any impact to your application. In addition, Amazon DocumentDB natively integrates with AWS Database Migration Service (DMS), Amazon CloudWatch, AWS CloudTrail, AWS Lambda, AWS Backup and more. Amazon DocumentDB supports millions of requests per second and can be scaled out to 15 low latency read replicas in minutes with no application downtime.

To learn more about Amazon DocumentDB, please visit the Amazon DocumentDB product page and pricing page .

You can create a Amazon DocumentDB cluster from the AWS Management console , AWS Command Line Interface (CLI) , or SDK.

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8i and C8i-flex instances are available in the Europe (Paris), Canada (Central), and US West (N. California) regions. 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 and C8i-flex 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 and C7i-flex instances, with even higher gains for specific workloads. The C8i and C8i-flex 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 and C7i-flex.

C8i-flex are the easiest way to get price performance benefits for a majority of compute intensive workloads like web and application servers, databases, caches, Apache Kafka, Elasticsearch, and enterprise applications. They offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources.

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 and C8i-flex instances visit the AWS News blog .