• Categoría: Noticias de Microsoft

noviembre 6, 2025

Crear soluciones de salud mental en conjunto

Por: Ebele Okoli, gerente del programa de negocios de accesibilidad.

La salud mental es importante, en todas partes, para todos. Más de mil millones de personas viven con problemas de salud mental y el acceso a la atención se mantiene como uno de los mayores desafíos a nivel mundial. Cuando las soluciones digitales son creadas en conjunto por personas que han vivido experiencias y quienes brindan apoyo de salud mental, pueden tener un impacto significativo. En la conmemoración del Día Mundial de la Salud Mental, quisimos destacar las colaboraciones entre sectores y disciplinas que amplían el acceso al poner la salud mental en el centro de la innovación. 

Prácticas recomendadas en el escalamiento del diseño

En 2024, el Centro Nacional para el TEPT del Departamento de Asuntos de Veteranos comenzó a rediseñar su aplicación insignia de salud mental, PTSD Coach, a través de la Guía de Diseño Inclusivo para la Salud Mental y un estudio de usuarios de participantes durante momentos de alto estrés. El rediseño tenía como objetivo mejorar la accesibilidad para las personas con angustia aguda, para simplificar las funciones y agregar herramientas diseñadas para la desescalada emocional y la regulación para apoyar mejor a los veteranos que viven con TEPT. 

El Centro Nacional para el TEPT es reconocido por su investigación innovadora sobre el trastorno de estrés postraumático y el estrés traumático.  Como el mayor proveedor de servicios de salud mental en los Estados Unidos, el trabajo del Centro es fundamental: casi uno de cada cuatro veteranos que buscan atención a través del sistema de salud de VA vive con TEPT. Para ayudar a satisfacer la necesidad, ofrecen un conjunto de aplicaciones complementarias de autoayuda y tratamiento, que empoderan a los veteranos y sus familias con herramientas accesibles para controlar los síntomas, desarrollar resiliencia y conectarse con la atención cuando la necesitan.

Estar donde las personas nos necesitan

La IA puede ayudar a llevar herramientas de salud mental a comunidades de todo el mundo. iWill GITA es el primer compañero de salud mental de IA generativa controlado del mundo, diseñado para servir a personas que hablan hindi y basado en Azure. En India, la cantidad de personas que necesitan atención supera con creces el tratamiento disponible, hasta una brecha del 80 por ciento. Desde su lanzamiento en 2024, GITA ha llegado a más de 40,000 personas y está en camino de escalar a 100,000 para fin de año, lo que amplía el acceso en la India rural y urbana con soporte para los principales dialectos hindi. 

En un inicio, iWill brindaba servicios de asesoramiento basados en texto a través del chat. La aplicación recién lanzada ahora admite interacciones de voz, seguridad mejorada y capacidades generativas que brindan intervenciones terapéuticas e interacciones empáticas y de apoyo informadas por pautas clínicas. En el piloto de la experiencia habilitada por voz, 500 participantes de diversos orígenes socioeconómicos fueron evaluados por medio de PHQ-9 y GAD-7, para detectar depresión y ansiedad, y ninguno recibió terapia concurrente. Después de cinco sesiones, el 85% de los participantes alcanzaron los rangos clínicos típicos, mientras que los participantes restantes mostraron una mejora significativa. Los comentarios fueron bastante positivos: 458 participantes dijeron que la experiencia se sintió conversacional y de apoyo, y 42 la describieron como una fuente de apoyo profundamente significativa.

Consideraciones de salud mental en M365

Microsoft Teams y Outlook ahora incluyen características diseñadas con foco en la salud mental. En Teams, los chats y los canales ahora se combinan en una fuente simple y organizada. Este cambio les da a las personas la opción de elegir la vista que mejor les funcione para minimizar las distracciones. En Outlook, Copilot Coach brinda comentarios en tiempo real sobre los correos electrónicos, lo que ayuda a las personas a sentirse más seguras y claras al comunicarse. Ambas características fueron creadas en conjunto con personas que experimentan ansiedad y estrés, para brindar un diseño más accesible para todos. 

Avanzar juntos

La salud mental es esencial. Desde veteranos que acceden a apoyo justo a tiempo, hasta personas en la India rural que encuentran atención a través de la IA, hasta herramientas cotidianas como Teams y Outlook que reducen el estrés en el trabajo, estos ejemplos muestran lo que es posible cuando diseñamos con empatía e inclusión en el centro. Al continuar con la creación en conjunto, de soluciones con aquellos con experiencia vivida, podemos transformar el acceso, mejorar los resultados y construir un futuro en el que la salud mental se priorice en todas partes, para todos.

Etiquetas:

• Accesibilidad
• IA
• Vida y Trabajo

The post Crear soluciones de salud mental en conjunto appeared first on Source LATAM.

​The post Crear soluciones de salud mental en conjunto appeared first on Source LATAM.  

Customers in AWS Europe (Ireland) Region can now use AWS B2B Data Interchange to build highly customizable, scalable and cost-efficient EDI workloads.

AWS B2B Data Interchange automates validation, transformation, and generation of EDI files such as ANSI X12 documents to and from JSON and XML data formats. With this launch, you can use AWS B2B Data Interchange to process your EDI documents in AWS Europe (Ireland) Region, which enables you to meet your compliance and data sovereignty obligations while modernizing your B2B integration workloads. As part of this launch, the AWS B2B Data Interchange generative AI mapping capability will also become available in AWS Europe (Ireland) Region, simplifying mapping code development and ultimately expediting trading partners onboarding.

To learn more about AWS B2B Data Interchange visit our product page, user-guide or take our self-paced workshop. See the AWS Region Table for complete regional availability.

​Customers in AWS Europe (Ireland) Region can now use AWS B2B Data Interchange to build highly customizable, scalable and cost-efficient EDI workloads. AWS B2B Data Interchange automates validation, transformation, and generation of EDI files such as ANSI X12 documents to and from JSON and XML data formats. With this launch, you can use AWS B2B Data Interchange to process your EDI documents in AWS Europe (Ireland) Region, which enables you to meet your compliance and data sovereignty obligations while modernizing your B2B integration workloads. As part of this launch, the AWS B2B Data Interchange generative AI mapping capability will also become available in AWS Europe (Ireland) Region, simplifying mapping code development and ultimately expediting trading partners onboarding. To learn more about AWS B2B Data Interchange visit our product page, user-guide or take our self-paced workshop. See the AWS Region Table for complete regional availability.  

• Categoría: Noticias de Microsoft

noviembre 6, 2025

Presentamos MAI-Image-1, debuta en el top 10 en LMArena

Publicado en el blog de MAI (Microsoft AI).

Actualización: 4 de noviembre de 2025.

¡Hemos comenzado a lanzar MAI-Image-1 en productos seleccionados de Microsoft!

Pruébenlo en Bing Image Creator: Disponible en bing.com/create, en la aplicación móvil de Bing o directo desde la barra de búsqueda de Bing, Bing Image Creator está diseñado para llegar a las personas donde ya buscan y crean. MAI-Image-1 es ahora una opción junto con DALL-E 3 y GPT4o en el menú del modelo, lo que les permite experimentar y elegir el modelo que mejor se adapte a sus objetivos creativos.

Pruébenlo en Copilot Audio Expressions: Ahora, cuando seleccionen el modo Historia, Audio Expressions usará MAI-Image-1 para visualizar su historia con una imagen única.

MAI-Image-1 está disponible en la actualidad en todos los países que pueden acceder a Bing Image Creator y Copilot Labs, excepto la UE al momento.

Anuncio anterior – 13 de octubre de 2025:

Hoy, anunciamos MAI-Image-1, nuestro primer modelo de generación de imágenes desarrollado por completo a nivel interno, que debuta entre los 10 mejores modelos de texto a imagen en LMArena.

En Microsoft AI (MAI), creamos IA para todos: una presencia de apoyo y ayuda siempre al servicio de la humanidad. Hemos compartido cómo los modelos diseñados de manera especial son esenciales para esta misión, y anunciamos nuestros dos primeros modelos internos en agosto. MAI-Image-1 marca el siguiente paso en nuestro recorrido y allana el camino para experiencias más inmersivas, creativas y dinámicas dentro de nuestros productos.  

Entrenamos este modelo con el objetivo de ofrecer un valor genuino para los creadores, y pusimos mucho cuidado en evitar resultados repetitivos o estilizados de manera genérica. Por ejemplo, priorizamos la selección rigurosa de datos y la evaluación matizada centrada en tareas que reflejan de cerca los casos de uso creativo del mundo real, para tomar en cuenta los comentarios de los profesionales de las industrias creativas. Este modelo está diseñado para ofrecer flexibilidad real, diversidad visual y valor práctico.

MAI-Image-1 sobresale en la generación de imágenes fotorrealistas, como iluminación (por ejemplo, luz de rebote, reflejos), paisajes y mucho más. Esto es en particular cierto cuando se compara con muchos modelos más grandes y lentos. Su combinación de velocidad y calidad significa que los usuarios pueden llevar sus ideas a la pantalla más rápido, iterar a través de ellas con rapidez y luego transferir su trabajo a otras herramientas para continuar el refinamiento.

[1] Un correcaminos corre por la arena [2] MAI-Image-1 escrito en la arena al atardecer sobre la playa [3] Un hombre cruza una calle de la ciudad

Etiquetas:

• IA

The post Presentamos MAI-Image-1, debuta en el top 10 en LMArena appeared first on Source LATAM.

​The post Presentamos MAI-Image-1, debuta en el top 10 en LMArena appeared first on Source LATAM.  

AWS Launch Wizard now offers a guided approach to sizing, configuring, and deploying Windows Server EC2 instances with Microsoft SQL Server Developer Edition installed from your own media. AWS Launch Wizard for SQL Server Developer Edition allows you to simplify launching cost-effective and full-featured SQL Server instances on Amazon EC2, making it ideal for developers building non-production and test database environments.

This feature is ideal for customers who also have existing non-production databases running SQL Server Enterprise Edition or SQL Server Standard Edition, as migrating the non-production databases to SQL Server Developer Edition will reduce SQL license costs while maintaining feature parity.

This feature is available in all supported commercial AWS Regions and the AWS GovCloud (US) Regions.

To learn more, see the AWS Launch Wizard for SQL Server User Guide and blog post here.

​AWS Launch Wizard now offers a guided approach to sizing, configuring, and deploying Windows Server EC2 instances with Microsoft SQL Server Developer Edition installed from your own media. AWS Launch Wizard for SQL Server Developer Edition allows you to simplify launching cost-effective and full-featured SQL Server instances on Amazon EC2, making it ideal for developers building non-production and test database environments. This feature is ideal for customers who also have existing non-production databases running SQL Server Enterprise Edition or SQL Server Standard Edition, as migrating the non-production databases to SQL Server Developer Edition will reduce SQL license costs while maintaining feature parity. This feature is available in all supported commercial AWS Regions and the AWS GovCloud (US) Regions. To learn more, see the AWS Launch Wizard for SQL Server User Guide and blog post here.  

Amazon CloudWatch Database Insights now detects anomalies on additional metrics through its on-demand analysis experience. Database Insights is a monitoring and diagnostics solution that helps database administrators and application developers optimize database performance by providing comprehensive visibility into database metrics, query performance, and resource utilization patterns. The on-demand analysis feature utilizes machine learning to help identify anomalies and performance bottlenecks during the selected time period, and gives advice on what to do next.

The Database Insights on-demand analysis feature now offers enhanced anomaly detection capabilities. Previously, database administrators could analyze database performance and correlate metrics based on database load. Now, the on-demand analysis report also identifies anomalies in database-level and operating system-level counter metrics for the database instance, as well as per-SQL metrics for the top SQL statements contributing to database load. The feature automatically compares your selected time period against normal baseline performance, identifies anomalies, and provides specific remediation advice while reducing mean time to diagnosis. Through intuitive visualizations and clear explanations, you can quickly identify performance issues and receive step-by-step guidance for resolution.

You can get started with on-demand analysis by enabling the Advanced mode of CloudWatch Database Insights on your Amazon Aurora or RDS databases using the AWS management console, AWS APIs, or AWS CloudFormation. Please refer to RDS documentation and Aurora documentation for information regarding the availability of Database Insights across different regions, engines, and instance classes.

​Amazon CloudWatch Database Insights now detects anomalies on additional metrics through its on-demand analysis experience. Database Insights is a monitoring and diagnostics solution that helps database administrators and application developers optimize database performance by providing comprehensive visibility into database metrics, query performance, and resource utilization patterns. The on-demand analysis feature utilizes machine learning to help identify anomalies and performance bottlenecks during the selected time period, and gives advice on what to do next. The Database Insights on-demand analysis feature now offers enhanced anomaly detection capabilities. Previously, database administrators could analyze database performance and correlate metrics based on database load. Now, the on-demand analysis report also identifies anomalies in database-level and operating system-level counter metrics for the database instance, as well as per-SQL metrics for the top SQL statements contributing to database load. The feature automatically compares your selected time period against normal baseline performance, identifies anomalies, and provides specific remediation advice while reducing mean time to diagnosis. Through intuitive visualizations and clear explanations, you can quickly identify performance issues and receive step-by-step guidance for resolution. You can get started with on-demand analysis by enabling the Advanced mode of CloudWatch Database Insights on your Amazon Aurora or RDS databases using the AWS management console, AWS APIs, or AWS CloudFormation. Please refer to RDS documentation and Aurora documentation for information regarding the availability of Database Insights across different regions, engines, and instance classes.  

Amazon Keyspaces (for Apache Cassandra) now supports Multi-Region Replication in the Middle East (Bahrain) and Asia Pacific (Hong Kong) Regions. With this expansion, customers can now replicate their Amazon Keyspaces tables to and from these Regions, enabling lower latency access to data and improved regional resiliency.

Amazon Keyspaces Multi-Region Replication automatically replicates data across AWS Regions with typically less than a second of replication lag, allowing applications to read and write data to the same table in multiple Regions. This capability helps customers build globally distributed applications that can serve users with low latency regardless of their location, while also providing business continuity in the event of a regional disruption.

The addition of Multi-Region Replication support in Middle East (Bahrain) and Asia Pacific (Hong Kong) enables organizations operating in these regions to build highly available applications that can maintain consistent performance for users across the Middle East and Asia Pacific. Customers can now replicate their Keyspaces tables between these regions and any other supported AWS Region without managing complex replication infrastructure.

You pay only for the resources you use, including data storage, read/write capacity, and writes in each Region of your multi-Region keyspace. To learn more about Amazon Keyspaces Multi-Region Replication and its regional availability, visit the Amazon Keyspaces documentation.

​Amazon Keyspaces (for Apache Cassandra) now supports Multi-Region Replication in the Middle East (Bahrain) and Asia Pacific (Hong Kong) Regions. With this expansion, customers can now replicate their Amazon Keyspaces tables to and from these Regions, enabling lower latency access to data and improved regional resiliency. Amazon Keyspaces Multi-Region Replication automatically replicates data across AWS Regions with typically less than a second of replication lag, allowing applications to read and write data to the same table in multiple Regions. This capability helps customers build globally distributed applications that can serve users with low latency regardless of their location, while also providing business continuity in the event of a regional disruption. The addition of Multi-Region Replication support in Middle East (Bahrain) and Asia Pacific (Hong Kong) enables organizations operating in these regions to build highly available applications that can maintain consistent performance for users across the Middle East and Asia Pacific. Customers can now replicate their Keyspaces tables between these regions and any other supported AWS Region without managing complex replication infrastructure. You pay only for the resources you use, including data storage, read/write capacity, and writes in each Region of your multi-Region keyspace. To learn more about Amazon Keyspaces Multi-Region Replication and its regional availability, visit the Amazon Keyspaces documentation.  

Buyers and sellers in India can now transact locally in AWS Marketplace, with invoicing in Indian Rupees (INR), and with simplified tax compliance through AWS India. With this launch, India-based sellers can now register to sell in AWS Marketplace and offer paid subscriptions to buyers in India. India-based sellers will be able to create private offers in US dollars (USD) or INR. Buyers in India purchasing paid offerings in AWS Marketplace from India-based sellers will receive invoices in INR, helping to simplify invoicing with consistency across AWS Cloud and AWS Marketplace purchases. Sellers based in India can begin selling paid offerings in AWS Marketplace and can work with India-based Channel Partners to sell to customers.

AWS India will facilitate the issuance of tax-compliant invoices in INR to buyers, with the independent software vendor (ISV) or Channel Partner as the seller of record. AWS India will automate the collection and remittance of Withholding Tax (WHT) and GST-Tax Collected at Source (GST-TCS) to the relevant tax authorities, fulfilling compliance requirements for buyers. During this phase, non-India based sellers can continue to sell directly to buyers in India through AWS Inc., in USD or through AWS India by working through authorized distributors.

To learn more and explore solutions available from India-based sellers, visit this page. To get started as a seller, India-based ISVs and Channel Partners can register in the AWS Marketplace Management Portal. For more information about buying or selling using AWS Marketplace in India, visit the India FAQs page and help guide.

​Buyers and sellers in India can now transact locally in AWS Marketplace, with invoicing in Indian Rupees (INR), and with simplified tax compliance through AWS India. With this launch, India-based sellers can now register to sell in AWS Marketplace and offer paid subscriptions to buyers in India. India-based sellers will be able to create private offers in US dollars (USD) or INR. Buyers in India purchasing paid offerings in AWS Marketplace from India-based sellers will receive invoices in INR, helping to simplify invoicing with consistency across AWS Cloud and AWS Marketplace purchases. Sellers based in India can begin selling paid offerings in AWS Marketplace and can work with India-based Channel Partners to sell to customers. AWS India will facilitate the issuance of tax-compliant invoices in INR to buyers, with the independent software vendor (ISV) or Channel Partner as the seller of record. AWS India will automate the collection and remittance of Withholding Tax (WHT) and GST-Tax Collected at Source (GST-TCS) to the relevant tax authorities, fulfilling compliance requirements for buyers. During this phase, non-India based sellers can continue to sell directly to buyers in India through AWS Inc., in USD or through AWS India by working through authorized distributors. To learn more and explore solutions available from India-based sellers, visit this page. To get started as a seller, India-based ISVs and Channel Partners can register in the AWS Marketplace Management Portal. For more information about buying or selling using AWS Marketplace in India, visit the India FAQs page and help guide.  

Amazon FSx now integrates with AWS Secrets Manager, enabling enhanced protection and management of the Active Directory domain service account credentials for your FSx for Windows File Server file systems and FSx for NetApp ONTAP Storage Virtual Machines (SVMs).

Previously, if you wanted to join your FSx for Windows file system or FSx for ONTAP SVM to your Active Directory domain for user authentication and access control, you needed to specify the username and password for your service account in the Amazon FSx Console, Amazon FSx API, AWS CLI, or AWS CloudFormation. With this launch, you can now specify an AWS Secrets Manager secret containing the service account credentials, enabling you to strengthen your security posture by eliminating the need to store plain text credentials in application code or configuration files, and aligning with best practices for credential management. Additionally, you can use AWS Secrets Manager to rotate your Active Directory credentials and consume them when needed in FSx workloads.

You can now use AWS Secrets Manager to store your domain join service credentials for all FSx for Windows file systems and FSx for ONTAP Storage Virtual Machines in all AWS Regions where they are available. For more information, see Amazon FSx for Windows File Server documentation and Amazon FSx for NetApp ONTAP documentation.

​Amazon FSx now integrates with AWS Secrets Manager, enabling enhanced protection and management of the Active Directory domain service account credentials for your FSx for Windows File Server file systems and FSx for NetApp ONTAP Storage Virtual Machines (SVMs). Previously, if you wanted to join your FSx for Windows file system or FSx for ONTAP SVM to your Active Directory domain for user authentication and access control, you needed to specify the username and password for your service account in the Amazon FSx Console, Amazon FSx API, AWS CLI, or AWS CloudFormation. With this launch, you can now specify an AWS Secrets Manager secret containing the service account credentials, enabling you to strengthen your security posture by eliminating the need to store plain text credentials in application code or configuration files, and aligning with best practices for credential management. Additionally, you can use AWS Secrets Manager to rotate your Active Directory credentials and consume them when needed in FSx workloads. You can now use AWS Secrets Manager to store your domain join service credentials for all FSx for Windows file systems and FSx for ONTAP Storage Virtual Machines in all AWS Regions where they are available. For more information, see Amazon FSx for Windows File Server documentation and Amazon FSx for NetApp ONTAP documentation.  

AWS Glue Schema Registry (GSR) has now expanded the programming language support for GSR Client library to include C# support along with existing Java support. C# applications integrating with Apache Kafka or Amazon Managed Streaming for Apache Kafka (Amazon MSK), Amazon Kinesis Data Streams, and Apache Flink or Amazon Managed Service for Apache Flink can now interact with AWS Glue Schema Registry to maintain data quality and schema compatibility in streaming data applications.

AWS Glue Schema Registry, a serverless feature of AWS Glue, enables you to validate and control the evolution of streaming data using registered schemas at no additional charge. Schemas define the structure and format of data records produced by applications. Using AWS Glue Schema Registry, you can centrally manage and enforce schema definitions across your data ecosystem. This ensures consistency of schemas across applications and enables seamless data integration between producers and consumers. Through centralized schema validation, teams can maintain data quality standards and evolve their schemas in a controlled manner.  

C# support is available across all AWS regions where Glue Schema Registry is available. Visit the Glue Schema Registry developer guide, and SDK to get started with C# integration.

​AWS Glue Schema Registry (GSR) has now expanded the programming language support for GSR Client library to include C# support along with existing Java support. C# applications integrating with Apache Kafka or Amazon Managed Streaming for Apache Kafka (Amazon MSK), Amazon Kinesis Data Streams, and Apache Flink or Amazon Managed Service for Apache Flink can now interact with AWS Glue Schema Registry to maintain data quality and schema compatibility in streaming data applications.
AWS Glue Schema Registry, a serverless feature of AWS Glue, enables you to validate and control the evolution of streaming data using registered schemas at no additional charge. Schemas define the structure and format of data records produced by applications. Using AWS Glue Schema Registry, you can centrally manage and enforce schema definitions across your data ecosystem. This ensures consistency of schemas across applications and enables seamless data integration between producers and consumers. Through centralized schema validation, teams can maintain data quality standards and evolve their schemas in a controlled manner.  
C# support is available across all AWS regions where Glue Schema Registry is available. Visit the Glue Schema Registry developer guide, and SDK to get started with C# integration.
   

AWS is announcing the general availability of new memory-optimized Amazon EC2 R8a instances. R8a instances, feature 5th Gen AMD EPYC processors (formerly code named Turin) with a maximum frequency of 4.5 GHz, deliver up to 30% higher performance, and up to 19% better price-performance compared to R7a instances.

R8a instances deliver 45% more memory bandwidth compared to R7a instances, making these instances ideal for latency sensitive workloads. Compared to Amazon EC2 R7a instances, R8a instances provide up to 60% faster performance for GroovyJVM, allowing higher request throughput and better response times for business-critical applications.

Built on the AWS Nitro System using sixth generation Nitro Cards, R8a instances are ideal for high performance, memory-intensive workloads, such as SQL and NoSQL databases, distributed web scale in-memory caches, in-memory databases, real-time big data analytics, and Electronic Design Automation (EDA) applications. R8a instances offer 12 sizes including 2 bare metal sizes. Amazon EC2 R8a instances are SAP-certified, and providing 38% more SAPS compared to R7a instances.

R8a instances are available in the following AWS Regions: US East (N. Virginia), US East (Ohio), and US West (Oregon) regions. 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 visit the Amazon EC2 R8a instance page.

​AWS is announcing the general availability of new memory-optimized Amazon EC2 R8a instances. R8a instances, feature 5th Gen AMD EPYC processors (formerly code named Turin) with a maximum frequency of 4.5 GHz, deliver up to 30% higher performance, and up to 19% better price-performance compared to R7a instances. R8a instances deliver 45% more memory bandwidth compared to R7a instances, making these instances ideal for latency sensitive workloads. Compared to Amazon EC2 R7a instances, R8a instances provide up to 60% faster performance for GroovyJVM, allowing higher request throughput and better response times for business-critical applications. Built on the AWS Nitro System using sixth generation Nitro Cards, R8a instances are ideal for high performance, memory-intensive workloads, such as SQL and NoSQL databases, distributed web scale in-memory caches, in-memory databases, real-time big data analytics, and Electronic Design Automation (EDA) applications. R8a instances offer 12 sizes including 2 bare metal sizes. Amazon EC2 R8a instances are SAP-certified, and providing 38% more SAPS compared to R7a instances. R8a instances are available in the following AWS Regions: US East (N. Virginia), US East (Ohio), and US West (Oregon) regions. 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 visit the Amazon EC2 R8a instance page.