AWS announces the general availability of EC2 instance attestation to make it easier for customers to validate that only trusted software is running on their EC2 instances, including instances with AI chips and GPUs.
Before this, customers could configure their EC2 instances to remove operator access from their own administrators and users, but there was no way for customers to verify that a target EC2 instance had that configuration. With EC2 instance attestation, customers can cryptographically verify that their EC2 instances are running trusted configurations and software.
EC2 instance attestation is powered by Nitro Trusted Platform Module (NitroTPM) and Attestable Amazon Machine Images (AMIs). Customers can build an AMI that includes a cryptographic measurement representing all the contents of that AMI. Using NitroTPM, customers can then verify whether a target EC2 instance has the same measurement as the reference measurement generated by the AMI. EC2 instance attestation integrates with AWS Key Management Service (KMS), allowing customers to restrict key operations to instances that pass specific attestation conditions.
EC2 instance attestation is available in all AWS Commercial Regions, including the AWS GovCloud (US) Regions.
To get started with EC2 instance attestation, see this user guide. To build an Amazon Linux 2023 Attested AMI, see this user guide.
AWS announces the general availability of EC2 instance attestation to make it easier for customers to validate that only trusted software is running on their EC2 instances, including instances with AI chips and GPUs. Before this, customers could configure their EC2 instances to remove operator access from their own administrators and users, but there was no way for customers to verify that a target EC2 instance had that configuration. With EC2 instance attestation, customers can cryptographically verify that their EC2 instances are running trusted configurations and software. EC2 instance attestation is powered by Nitro Trusted Platform Module (NitroTPM) and Attestable Amazon Machine Images (AMIs). Customers can build an AMI that includes a cryptographic measurement representing all the contents of that AMI. Using NitroTPM, customers can then verify whether a target EC2 instance has the same measurement as the reference measurement generated by the AMI. EC2 instance attestation integrates with AWS Key Management Service (KMS), allowing customers to restrict key operations to instances that pass specific attestation conditions. EC2 instance attestation is available in all AWS Commercial Regions, including the AWS GovCloud (US) Regions. To get started with EC2 instance attestation, see this user guide. To build an Amazon Linux 2023 Attested AMI, see this user guide.
Amazon DataZone is now available in AWS Asia Pacific (Hong Kong), Asia Pacific (Malaysia) and Europe (Zurich) Regions.
Amazon DataZone is a fully managed data management service to catalog, discover, analyze, share, and govern data between data producers and consumers in your organization. With Amazon DataZone, data producers populate the business data catalog with structured data assets from AWS Glue Data Catalog and Amazon Redshift tables. Data consumers search and subscribe to data assets in the data catalog and share with other collaborators working on the same business use case. Consumers can analyze their subscribed data assets with tools—such as Amazon Redshift or Amazon Athena query editors—that are directly accessed from the Amazon DataZone portal. The integrated publishing and subscription workflow provides access to auditing capabilities across projects.
For more information on AWS Regions where Amazon DataZone is available in preview, see supported regions.
Additionally, Amazon DataZone powers governance in the next generation of Amazon SageMaker, which simplifies the discovery, governance, and collaboration of data and AI across your lakehouse, AI models, and GenAI applications. With Amazon SageMaker Catalog (built on Amazon DataZone), users can securely discover and access approved data and models using semantic search with generative AI–created metadata, or they could just ask Amazon Q Developer using natural language to find their data. For more information on AWS Regions where the next generation of SageMaker is available, see supported regions. To learn more about the next generation of SageMaker, visit the product webpage.
Amazon DataZone is now available in AWS Asia Pacific (Hong Kong), Asia Pacific (Malaysia) and Europe (Zurich) Regions. Amazon DataZone is a fully managed data management service to catalog, discover, analyze, share, and govern data between data producers and consumers in your organization. With Amazon DataZone, data producers populate the business data catalog with structured data assets from AWS Glue Data Catalog and Amazon Redshift tables. Data consumers search and subscribe to data assets in the data catalog and share with other collaborators working on the same business use case. Consumers can analyze their subscribed data assets with tools—such as Amazon Redshift or Amazon Athena query editors—that are directly accessed from the Amazon DataZone portal. The integrated publishing and subscription workflow provides access to auditing capabilities across projects. For more information on AWS Regions where Amazon DataZone is available in preview, see supported regions.
Additionally, Amazon DataZone powers governance in the next generation of Amazon SageMaker, which simplifies the discovery, governance, and collaboration of data and AI across your lakehouse, AI models, and GenAI applications. With Amazon SageMaker Catalog (built on Amazon DataZone), users can securely discover and access approved data and models using semantic search with generative AI–created metadata, or they could just ask Amazon Q Developer using natural language to find their data. For more information on AWS Regions where the next generation of SageMaker is available, see supported regions. To learn more about the next generation of SageMaker, visit the product webpage.
AWS License Manager announces support for shared AWS Managed Active Directory across multiple AWS accounts, simplifying Microsoft license management on AWS. Customers can now centralize user subscriptions of Microsoft Office, Visual Studio, and Remote Desktop Service instances running in their AWS Organization while maintaining clear visibility across AWS accounts.
With this launch, customers are no longer required to setup a Managed Active Directory instance for each AWS Account, reducing duplicate directories and IT overhead. Customers can now manage licenses through a single admin account where users subscribe once, and their subscriptions will extend to directory consumer accounts. The new feature is available in all commercial regions where License Manager user subscription is supported.
To get started, customers can onboard their shared AWS Managed Active Directory through AWS License Manager console. For more information and to begin using this feature, visit the AWS License Manager page or AWS License Manager User Guide.
AWS License Manager announces support for shared AWS Managed Active Directory across multiple AWS accounts, simplifying Microsoft license management on AWS. Customers can now centralize user subscriptions of Microsoft Office, Visual Studio, and Remote Desktop Service instances running in their AWS Organization while maintaining clear visibility across AWS accounts. With this launch, customers are no longer required to setup a Managed Active Directory instance for each AWS Account, reducing duplicate directories and IT overhead. Customers can now manage licenses through a single admin account where users subscribe once, and their subscriptions will extend to directory consumer accounts. The new feature is available in all commercial regions where License Manager user subscription is supported. To get started, customers can onboard their shared AWS Managed Active Directory through AWS License Manager console. For more information and to begin using this feature, visit the AWS License Manager page or AWS License Manager User Guide.
Amazon RDS now supports cross-Region and cross-account copying of Amazon RDS and Amazon Aurora snapshots. This launch allows you to copy snapshots across Regions and accounts directly without performing it sequentially as two separate copies.
Customers use cross-Region and cross-account snapshot copies for managing the risk of incidents such as ransomware attacks and region outages affecting their production accounts or primary Regions. Previously, customers that copied snapshots cross-Region and cross-account did so in a two step process that involved first copying the snapshot to a different Region and then to a different account or vice versa. Now, by performing this action in a single step, customers eliminate an intermediate snapshot copy, thereby meeting a high recovery point objective (RPO) as well as saving costs associated with the intermediate copy. Additionally, customers that currently use custom scripts or services such as a Lambda for monitoring the status of the intermediate copy, to then trigger the second copy, can simplify these workflows by eliminating this process.
Cross-Region and cross-account snapshot copy is available on all Amazon RDS and Amazon Aurora engines in all AWS Regions, including the AWS China Regions and AWS GovCloud (US) Regions. You can start using this feature today through the AWS Management Console, AWS Command Line Interface (CLI), or AWS SDKs. To get started, refer the Amazon RDS or Amazon Aurora documentation.
Amazon RDS now supports cross-Region and cross-account copying of Amazon RDS and Amazon Aurora snapshots. This launch allows you to copy snapshots across Regions and accounts directly without performing it sequentially as two separate copies.
Customers use cross-Region and cross-account snapshot copies for managing the risk of incidents such as ransomware attacks and region outages affecting their production accounts or primary Regions. Previously, customers that copied snapshots cross-Region and cross-account did so in a two step process that involved first copying the snapshot to a different Region and then to a different account or vice versa. Now, by performing this action in a single step, customers eliminate an intermediate snapshot copy, thereby meeting a high recovery point objective (RPO) as well as saving costs associated with the intermediate copy. Additionally, customers that currently use custom scripts or services such as a Lambda for monitoring the status of the intermediate copy, to then trigger the second copy, can simplify these workflows by eliminating this process.
Cross-Region and cross-account snapshot copy is available on all Amazon RDS and Amazon Aurora engines in all AWS Regions, including the AWS China Regions and AWS GovCloud (US) Regions. You can start using this feature today through the AWS Management Console, AWS Command Line Interface (CLI), or AWS SDKs. To get started, refer the Amazon RDS or Amazon Aurora documentation.
We’re excited today to announce the Amazon Nova Act extension – a tool that transforms how you build with Nova Act by bringing the entire agent development experience directly into IDEs like Visual Studio Code, Kiro, and Cursor. The Nova Act extension consolidates natural language based script creation, granular scripting precision, and robust browser testing into a single, unified user interface, eliminating the need to switch between multiple tools across development, validation, and iteration.
The Nova Act extension is built on top of the Nova Act SDK, available in research preview since March 2025. The Nova Act extension addresses feedback we have received from developers and consolidates the agent development lifecycle, from ideation to production, into one unified user interface within your IDE.
The Nova Act extension is available today from your IDE’s extension marketplace. The Nova Act GitHub repository includes documentation and examples to get started.
Learn more about the Nova Act extension and see the Nova Act extension in action at our blog post.
We’re excited today to announce the Amazon Nova Act extension – a tool that transforms how you build with Nova Act by bringing the entire agent development experience directly into IDEs like Visual Studio Code, Kiro, and Cursor. The Nova Act extension consolidates natural language based script creation, granular scripting precision, and robust browser testing into a single, unified user interface, eliminating the need to switch between multiple tools across development, validation, and iteration. The Nova Act extension is built on top of the Nova Act SDK, available in research preview since March 2025. The Nova Act extension addresses feedback we have received from developers and consolidates the agent development lifecycle, from ideation to production, into one unified user interface within your IDE. The Nova Act extension is available today from your IDE’s extension marketplace. The Nova Act GitHub repository includes documentation and examples to get started. Learn more about the Nova Act extension and see the Nova Act extension in action at our blog post.
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(Taipei) region. 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 Amazon Redshift Serverless. There is no need to choose node types, node count, workload management, scaling, and other manual configurations. You can create databases, schemas, and tables, and load your own data from Amazon S3, access data using Amazon Redshift data shares, or restore an existing Amazon Redshift provisioned cluster snapshot. With Amazon Redshift Serverless, you can directly query data in open formats, such as Apache Parquet, in Amazon S3 data lakes. Amazon Redshift Serverless provides unified billing for queries on any of these data sources, helping you efficiently monitor and manage costs.
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(Taipei) region. 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 Amazon Redshift Serverless. There is no need to choose node types, node count, workload management, scaling, and other manual configurations. You can create databases, schemas, and tables, and load your own data from Amazon S3, access data using Amazon Redshift data shares, or restore an existing Amazon Redshift provisioned cluster snapshot. With Amazon Redshift Serverless, you can directly query data in open formats, such as Apache Parquet, in Amazon S3 data lakes. Amazon Redshift Serverless provides unified billing for queries on any of these data sources, helping you efficiently monitor and manage costs. To get started, see the Amazon Redshift Serverless feature page, user documentation, and API Reference.
IAM Identity Center now supports customer-managed AWS Key Management Service (KMS) keys for encrypting workforce identity data, including user and group attributes. While AWS-owned keys are used by default, customer-managed keys (CMKs) provide granular control over identity data access, enhancing security and compliance capabilities. IAM Identity Center helps you securely create, or connect, your workforce identities and manage their access centrally across AWS applications and accounts.
You create a CMK and manage its lifecycle and usage permissions in AWS KMS. You can configure the CMK in your IAM Identity Center instance either while enabling a new organization instance or on an existing one. You can then use AWS CloudTrail to monitor and audit the usage of your CMK for access to identity data in IAM Identity Center.
Support for CMKs in organization instances of IAM Identity Center is now available for access to accounts and select AWS applications in all AWS Regions where IAM Identity Center is available. Standard AWS KMS charges apply to 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 with using CMKs, please refer to the IAM Identity Center User Guide.
IAM Identity Center now supports customer-managed AWS Key Management Service (KMS) keys for encrypting workforce identity data, including user and group attributes. While AWS-owned keys are used by default, customer-managed keys (CMKs) provide granular control over identity data access, enhancing security and compliance capabilities. IAM Identity Center helps you securely create, or connect, your workforce identities and manage their access centrally across AWS applications and accounts. You create a CMK and manage its lifecycle and usage permissions in AWS KMS. You can configure the CMK in your IAM Identity Center instance either while enabling a new organization instance or on an existing one. You can then use AWS CloudTrail to monitor and audit the usage of your CMK for access to identity data in IAM Identity Center. Support for CMKs in organization instances of IAM Identity Center is now available for access to accounts and select AWS applications in all AWS Regions where IAM Identity Center is available. Standard AWS KMS charges apply to 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 with using CMKs, please refer to the IAM Identity Center User Guide.
Aceleren la migración y la modernización con IA agéntica
Por: Amanda Silver, vicepresidenta corporativa de producto, división de desarrolladores, y Ashish Babbar, vicepresidente de administración de productos, plataforma Azure.
Cada organización tiene una agenda de innovación. Ya sea al crear aplicaciones nativas de IA, crear experiencias de cliente más atractivas o desbloquear nuevas eficiencias, la ambición nunca es el problema. Pero para muchos equipos, es su deuda técnica la que se interpone en el camino. Los sistemas heredados, las bases de código obsoletas y la infraestructura fragmentada ralentizan el progreso y agotan los recursos. De hecho, más del 37% de las carteras de aplicaciones requieren modernización en la actualidad, y ese número se mantendrá alto durante los próximos tres años.1 Los desarrolladores quieren la libertad de innovar, pero la migración y la modernización suelen ser lentas, complejas y difíciles de iniciar. Estos retrasos se traducen en oportunidades perdidas y transformación estancada.
La IA generativa cambia el juego. Los equipos la utilizan para abordar la migración y la modernización más rápido y con menos fricción. En la Cumbre de Migración y Modernización de hoy, compartimos herramientas de IA agéntica creadas para impulsar un progreso real, muy rápido. Desde la modernización de aplicaciones de GitHub Copilot para Java y .NET, hasta las nuevas características impulsadas por IA en Microsoft Azure Migrate que simplifican la migración entre equipos, hasta Microsoft Azure Accelerate, una nueva oferta que combina la orientación de expertos con el soporte de inversión, estas herramientas ayudan a las organizaciones a avanzar con confianza.
Modernización de aplicaciones de GitHub Copilot para Java y .NET
La modernización de las aplicaciones heredadas solía llevar meses. Con los agentes de IA autónomos de GitHub Copilot, ahora puede llevar días.
Más de 150 millones de desarrolladores, incluidos los equipos de ingeniería del 90% de las empresas de la lista Fortune 100, utilizan GitHub para crear y colaborar. Ahora, con las nuevas capacidades de GitHub Copilot para la modernización de aplicaciones en Java y .NET, esas organizaciones pueden acelerar de manera significativa sus esfuerzos de modernización.
Comiencen a modernizar sus aplicaciones Java y .NET hoy mismo.
Novedades:
Disponibilidad general de actualizaciones automatizadas de .NET y Java: la actualización a las versiones más recientes de .NET y Java desbloquea mejoras de rendimiento, seguridad y características, pero la administración de cambios importantes y actualizaciones de dependencias puede llevar mucho tiempo. GitHub Copilot ahora automatiza este proceso con agentes de IA que analizan su base de código, detectan cambios importantes, sugieren rutas de migración seguras y aplican correcciones de compilación (incluidas actualizaciones de dependencias y comprobaciones de vulnerabilidades de seguridad). La organización de Microsoft Teams usó esta capacidad para actualizar varios proyectos a .NET 8, lo que redujo meses de esfuerzo a solo horas.
La modernización de aplicaciones para Java ya está disponible con carácter general, con .NET en versión preliminar pública. La ejecución de aplicaciones modernizadas en Microsoft Azure desbloquea una base escalable, segura y rentable. Con alta disponibilidad integrada, alcance global, supervisión integrada y seguridad de nivel empresarial, Azure facilita a los equipos la implementación, el funcionamiento y el escalado con confianza. El proceso de modernización se simplifica: analiza la aplicación, identifica las dependencias, resuelve problemas específicos de la plataforma, coloca el código en contenedores, genera artefactos de implementación y se lanza en entornos de desarrollo y pruebas, todo ello mientras se alinea con los estándares de seguridad y cumplimiento de la organización. Ford China utilizó este enfoque para modernizar las aplicaciones de middleware, reduciendo el tiempo y el esfuerzo en un 70%.
Con la modernización de aplicaciones de GitHub Copilot, los desarrolladores pueden concentrarse en crear lo que sigue, mientras que la IA maneja el tedioso y lento trabajo de actualizar el código heredado. Los resultados ya han comenzado a aparecer: los clientes reducen los plazos, para reducir el esfuerzo y desbloquear caminos más rápidos hacia la innovación.
Novedades de Azure Migrate: Optimización de la migración y la modernización entre aplicaciones y equipos
La migración y la modernización a menudo se estancan cuando los equipos de TI, desarrolladores, datos y seguridad no están alineados. Azure Migrate presenta nuevas características de inteligencia artificial agéntica para cerrar esas brechas, simplificar la complejidad y ampliar el soporte técnico, para que los equipos puedan moverse más rápido, juntos:
Guía con tecnología de IA (versión preliminar): las funcionalidades de Agentic en Azure Migrate ahora ofrecen una experiencia guiada que automatiza las tareas clave y se basa en lo que sus equipos ya saben. Esto les ayuda a moverse más rápido y de manera más inteligente, sin volver a capacitarse ni reequiparse.
Flujos de trabajo conectados con GitHub Copilot (versión preliminar): TI y desarrolladores ahora pueden colaborar sin problemas. Azure Migrate se vincula de manera directa a las herramientas de modernización de aplicaciones de GitHub Copilot, para que ambos equipos puedan planear y ejecutar la modernización de forma sincronizada.
Reconocimiento de aplicaciones de forma predeterminada (versión preliminar): obtengan una amplia visibilidad de su cartera e información detallada sobre cada aplicación. Comprendan las dependencias, mantengan los recursos alineados y tomen decisiones más inteligentes basadas en datos a lo largo de su migración.
Compatibilidad ampliada con bases de datos e infraestructura (versión preliminar): Azure Migrate ahora admite más escenarios, incluidos PostgreSQL y distribuciones populares de Linux, por lo que ninguna aplicación se queda atrás.
Migración y modernización de las bases de datos en Azure
En el corazón de cada transformación digital están los datos. La Cumbre de Migración y Modernización de este año fue más que una muestra de nuevas características: fue una demostración de cómo Microsoft Azure reinventa el viaje de migración y modernización para organizaciones de todos los tamaños, incluidas sus bases de datos.
El compromiso de Azure con el código abierto brilla en nuestras últimas innovaciones de PostgreSQL. El proceso para usar PostgreSQL en Azure comienza con la versión preliminar pública anunciada de manera reciente de Azure Migrate Discovery and Assessment for PostgreSQL, una nueva funcionalidad que simplifica la planeación y acelera las migraciones desde el entorno local, AWS o GCP a Azure Database for PostgreSQL. Esta herramienta proporciona detección y evaluación integrales, lo que ayuda a las organizaciones a mapear con confianza su ruta de migración.
Esta y otras innovaciones de migración de bases de datos de Azure no son solo características, sino que forman parte de un enfoque unificado para la modernización de datos que reduce la complejidad de la migración y, en última instancia, le permite crear la próxima generación de aplicaciones de IA. Tanto si migran cargas de trabajo de SQL Server, Oracle, PostgreSQL o Sybase, las herramientas y los servicios más recientes de Azure proporcionan una ruta de acceso inteligente y optimizada a la nube.
Aceleren la transformación con la experiencia y el soporte técnico de Microsoft
La transformación no se trata solo de adoptar nuevas tecnologías, se trata de capacitar a sus equipos y refinar los procesos para cumplir con los objetivos comerciales. Microsoft proporciona una variedad de recursos para ayudarlos a desarrollar habilidades, reducir el riesgo y moverse más rápido con confianza. Esto incluye ayuda de expertos a través de Microsoft Unified, capacitación y certificaciones gratuitas basadas en roles con Microsoft Learn, y orientación técnica seleccionada y procedimientos recomendados a través de Azure Essentials.
Ahora, con Azure Accelerate, vamos más allá. Este programa los conecta de manera directa con expertos de confianza, desbloquea fondos para proyectos elegibles y respalda cada etapa de su recorrido a la nube y la IA, desde la migración y la modernización hasta las plataformas de datos y los agentes inteligentes. Una característica destacada es Cloud Accelerate Factory, donde los ingenieros de Microsoft trabajan junto con su equipo o socios para proporcionar soporte de implementación sin costo para más de 30 servicios de Azure. Eso significa una entrega más rápida, menos obstáculos y más tiempo para que sus equipos se concentren en el trabajo de alto impacto. Clientes como Thomson Reuters ya han usado Azure Accelerator para migrar más de 500 TB de datos y modernizar sistemas críticos.
La modernización no debería ser un juego de adivinanzas. Herramientas como GitHub Copilot y Azure Migrate están diseñadas para incorporar todas las aplicaciones, heredadas o nuevas, al ciclo de vida del desarrollo de software. Con la IA agéntica y el soporte integral, es más fácil que nunca comenzar con fuerza y escalar rápidamente.
Tanto si han iniciado su recorrido a la nube como si han comenzado a expandir la inteligencia artificial en toda su organización, Azure les ofrece la claridad, la velocidad y el soporte técnico para avanzar con confianza.
Amazon Connect now supports you to associate custom attributes with interaction segments, ensuring reporting and analytics always reflect the true customer journey. Attributes such as business unit name, account type, or contact reason can be centrally managed with predetermined values and applied to contact records through flows or the UpdateContact API. This approach preserves accurate business context throughout customer journeys, particularly during transfers and multi-party communications. For example, a customer engagement that originates in the Support business unit and transitions to Sales: each distinct interaction segment maintains its precise business unit name, creating an accurate and comprehensive record of the customer journey.
This feature is available in all AWS regions where Amazon Connect is available. To learn more about using predefined attributes as contact segment attributes, see the Amazon Connect Administrator Guide. To learn more about Amazon Connect, the AWS contact center as a service solution on the cloud, please visit the Amazon Connect website.
Amazon Connect now supports you to associate custom attributes with interaction segments, ensuring reporting and analytics always reflect the true customer journey. Attributes such as business unit name, account type, or contact reason can be centrally managed with predetermined values and applied to contact records through flows or the UpdateContact API. This approach preserves accurate business context throughout customer journeys, particularly during transfers and multi-party communications. For example, a customer engagement that originates in the Support business unit and transitions to Sales: each distinct interaction segment maintains its precise business unit name, creating an accurate and comprehensive record of the customer journey. This feature is available in all AWS regions where Amazon Connect is available. To learn more about using predefined attributes as contact segment attributes, see the Amazon Connect Administrator Guide. To learn more about Amazon Connect, the AWS contact center as a service solution on the cloud, please visit the Amazon Connect website.
Today, AWS announces the general availability of the new Amazon Elastic Block Storage (Amazon EBS) optimized Amazon Elastic Compute Cloud (Amazon EC2) R8gb instances. These instances are powered by AWS Graviton4 processors to deliver up to 30% better compute performance than AWS Graviton3 processors. At up to 150 Gbps of EBS bandwidth, these instances offer higher EBS performance compared to same-sized equivalent Graviton4-based instances. Take advantage of the higher block storage performance offered by these new EBS optimized EC2 instances to scale the performance and throughput of workloads such as high performance databases and NoSQL databases, while optimizing the cost of running your workloads.
For increased scalability, these instances offer instance sizes up to 24xlarge, including one metal size, up to 768 GiB of memory, up to 150 Gbps of EBS bandwidth, up to 200 Gbps of networking bandwidth. These instances support Elastic Fabric Adapter (EFA) networking on the 16xlarge, 24xlarge, and metal-24xl sizes, which enables lower latency and improved cluster performance for workloads deployed on tightly coupled clusters.
The new R8gb instances are available in US East (N. Virginia) and US West (Oregon) regions. Metal sizes are only available in US East (N. Virginia) region.
Today, AWS announces the general availability of the new Amazon Elastic Block Storage (Amazon EBS) optimized Amazon Elastic Compute Cloud (Amazon EC2) R8gb instances. These instances are powered by AWS Graviton4 processors to deliver up to 30% better compute performance than AWS Graviton3 processors. At up to 150 Gbps of EBS bandwidth, these instances offer higher EBS performance compared to same-sized equivalent Graviton4-based instances. Take advantage of the higher block storage performance offered by these new EBS optimized EC2 instances to scale the performance and throughput of workloads such as high performance databases and NoSQL databases, while optimizing the cost of running your workloads.
For increased scalability, these instances offer instance sizes up to 24xlarge, including one metal size, up to 768 GiB of memory, up to 150 Gbps of EBS bandwidth, up to 200 Gbps of networking bandwidth. These instances support Elastic Fabric Adapter (EFA) networking on the 16xlarge, 24xlarge, and metal-24xl sizes, which enables lower latency and improved cluster performance for workloads deployed on tightly coupled clusters.
The new R8gb instances are available in US East (N. Virginia) and US West (Oregon) regions. Metal sizes are only available in US East (N. Virginia) region.
To learn more, see Amazon R8gb 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.
