Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M8g instances are available in AWS Asia Pacific (Seoul) region. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 M8g instances are built for general-purpose workloads, such as application servers, microservices, gaming servers, midsize data stores, and caching fleets. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads.

AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. These instances offer larger instance sizes with up to 3x more vCPUs and memory compared to Graviton3-based Amazon M7g instances. AWS Graviton4 processors are up to 40% faster for databases, 30% faster for web applications, and 45% faster for large Java applications than AWS Graviton3 processors. M8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS).

To learn more, see Amazon EC2 M8g Instances. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M8g instances are available in AWS Asia Pacific (Seoul) region. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 M8g instances are built for general-purpose workloads, such as application servers, microservices, gaming servers, midsize data stores, and caching fleets. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads. AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. These instances offer larger instance sizes with up to 3x more vCPUs and memory compared to Graviton3-based Amazon M7g instances. AWS Graviton4 processors are up to 40% faster for databases, 30% faster for web applications, and 45% faster for large Java applications than AWS Graviton3 processors. M8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). To learn more, see Amazon EC2 M8g Instances. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.  

Starting today, Amazon EC2 High Memory U7i instances with 12TB of memory (u7i-12tb.224xlarge) are now available in the US East (Ohio) region. U7i-12tb instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-12tb instances offer 12TiB of DDR5 memory enabling customers to scale transaction processing throughput in a fast-growing data environment.

U7i-12tb instances offer 896 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) for faster data loading and backups, deliver up to 100Gbps of network bandwidth, and support ENA Express. U7i instances are ideal for customers using mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server.

To learn more about U7i instances, visit the High Memory instances page.

​Starting today, Amazon EC2 High Memory U7i instances with 12TB of memory (u7i-12tb.224xlarge) are now available in the US East (Ohio) region. U7i-12tb instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-12tb instances offer 12TiB of DDR5 memory enabling customers to scale transaction processing throughput in a fast-growing data environment. U7i-12tb instances offer 896 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) for faster data loading and backups, deliver up to 100Gbps of network bandwidth, and support ENA Express. U7i instances are ideal for customers using mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server. To learn more about U7i instances, visit the High Memory instances page.  

Amazon OpenSearch Service expands its modernized operational analytics experience to seven new regions, including Asia Pacific (Hyderabad), Asia Pacific (Osaka), Asia Pacific (Seoul), Europe (Milan), Europe (Zurich), Europe (Spain), and US-West (N. California) enabling users to gain insights across data spanning managed domains and serverless collections from a single endpoint. The expansion includes Workspaces to enhance collaboration and productivity, allowing teams to create dedicated spaces. Discover is revamped to provide a unified log exploration experience supporting languages such as Piped-Processing-Language (PPL) and SQL, in addition to DQL and Lucene. Discover now features a data selector to support multiple sources, new visual design and query autocomplete for improved usability. This experience ensures users can access the latest UI enhancements, regardless of version of underlying managed cluster or collection.

The expanded OpenSearch analytics helps users gain insights from their operational data by providing purpose-built features for observability, security analytics, and search use cases. With the enhanced Discover interface, users can now analyze data from multiple sources without switching tools, improving efficiency. Workspaces enable better collaboration by creating dedicated environments for teams to work on dashboards, saved queries, and other relevant content. Availability of the latest UI updates across all versions ensures uninterrupted access to the newest features and tools.

OpenSearch UI can connect to OpenSearch domains (above version 1.3) and OpenSearch serverless collections. It is now available in 22 AWS commercial regions. To get started, create an OpenSearch application in AWS Management Console. Learn more at Amazon OpenSearch Service Developer Guide.

​Amazon OpenSearch Service expands its modernized operational analytics experience to seven new regions, including Asia Pacific (Hyderabad), Asia Pacific (Osaka), Asia Pacific (Seoul), Europe (Milan), Europe (Zurich), Europe (Spain), and US-West (N. California) enabling users to gain insights across data spanning managed domains and serverless collections from a single endpoint. The expansion includes Workspaces to enhance collaboration and productivity, allowing teams to create dedicated spaces. Discover is revamped to provide a unified log exploration experience supporting languages such as Piped-Processing-Language (PPL) and SQL, in addition to DQL and Lucene. Discover now features a data selector to support multiple sources, new visual design and query autocomplete for improved usability. This experience ensures users can access the latest UI enhancements, regardless of version of underlying managed cluster or collection. The expanded OpenSearch analytics helps users gain insights from their operational data by providing purpose-built features for observability, security analytics, and search use cases. With the enhanced Discover interface, users can now analyze data from multiple sources without switching tools, improving efficiency. Workspaces enable better collaboration by creating dedicated environments for teams to work on dashboards, saved queries, and other relevant content. Availability of the latest UI updates across all versions ensures uninterrupted access to the newest features and tools. OpenSearch UI can connect to OpenSearch domains (above version 1.3) and OpenSearch serverless collections. It is now available in 22 AWS commercial regions. To get started, create an OpenSearch application in AWS Management Console. Learn more at Amazon OpenSearch Service Developer Guide.  

AWS Batch for ECS Fargate now supports AWS Graviton-based compute with AWS Fargate Spot. This capability helps you run fault-tolerant Arm-based applications with up to 70% discount compared to Fargate prices. AWS Graviton processors are custom-built by AWS to deliver the best price-performance for cloud workloads.

AWS Batch for ECS Fargate enables customers to deploy and build workloads at scale in a serverless manner. Starting today, customers can further optimize for costs by running fault-tolerant Arm-based workloads on AWS Fargate Spot. To get started, create a new Fargate configured Compute Environment (CE), select ARM64 as the cpuArchitecture, and choose FARGATE_SPOT as the type. You can then connect it to existing job queues or create a new one for your workload. AWS Batch will leverage spare AWS Graviton-based compute capacity available in the AWS cloud for running your service or task. You can now get the simplicity of serverless compute with familiar cost optimization levers of Spot capacity with Graviton-based compute.

This capability is now available for AWS Batch in all commercial and the AWS GovCloud (US) Regions. To learn more, see Batch’s updated RuntimePlatform API and AWS Batch for ECS Fargate documentation. 

​AWS Batch for ECS Fargate now supports AWS Graviton-based compute with AWS Fargate Spot. This capability helps you run fault-tolerant Arm-based applications with up to 70% discount compared to Fargate prices. AWS Graviton processors are custom-built by AWS to deliver the best price-performance for cloud workloads. AWS Batch for ECS Fargate enables customers to deploy and build workloads at scale in a serverless manner. Starting today, customers can further optimize for costs by running fault-tolerant Arm-based workloads on AWS Fargate Spot. To get started, create a new Fargate configured Compute Environment (CE), select ARM64 as the cpuArchitecture, and choose FARGATE_SPOT as the type. You can then connect it to existing job queues or create a new one for your workload. AWS Batch will leverage spare AWS Graviton-based compute capacity available in the AWS cloud for running your service or task. You can now get the simplicity of serverless compute with familiar cost optimization levers of Spot capacity with Graviton-based compute. This capability is now available for AWS Batch in all commercial and the AWS GovCloud (US) Regions. To learn more, see Batch’s updated RuntimePlatform API and AWS Batch for ECS Fargate documentation.   

AWS Config now supports 10 additional AWS resource types. This expansion provides greater coverage over your AWS environment, enabling you to more effectively discover, assess, audit, and remediate an even broader range of resources.

With this launch, if you have enabled recording for all resource types, then AWS Config will automatically track these new additions. The newly supported resource types are also available in Config rules and Config aggregators.

You can now use AWS Config to monitor the following newly supported resource types in all AWS Regions where the supported resources are available:

Resource Types:

AWS::Backup::RestoreTestingPlan

AWS::CloudFront::RealtimeLogConfig

AWS::EC2::SecurityGroupVpcAssociation

AWS::EC2::VerifiedAccessInstance

AWS::KafkaConnect::CustomPlugin

AWS::OpenSearchServerless::SecurityConfig

AWS::Redshift::Integration

AWS::Route53Profiles::ProfileAssociation

AWS::SSMIncidents::ResponsePlan

AWS::Transfer::Server

​AWS Config now supports 10 additional AWS resource types. This expansion provides greater coverage over your AWS environment, enabling you to more effectively discover, assess, audit, and remediate an even broader range of resources. With this launch, if you have enabled recording for all resource types, then AWS Config will automatically track these new additions. The newly supported resource types are also available in Config rules and Config aggregators. You can now use AWS Config to monitor the following newly supported resource types in all AWS Regions where the supported resources are available:
Resource Types:
AWS::Backup::RestoreTestingPlan
AWS::CloudFront::RealtimeLogConfig
AWS::EC2::SecurityGroupVpcAssociation
AWS::EC2::VerifiedAccessInstance
AWS::KafkaConnect::CustomPlugin
AWS::OpenSearchServerless::SecurityConfig
AWS::Redshift::Integration
AWS::Route53Profiles::ProfileAssociation
AWS::SSMIncidents::ResponsePlan
AWS::Transfer::Server  

Amazon Braket now supports program sets, enabling quantum researchers to run complex workloads requiring hundreds of quantum circuit executions up to 24X faster. This new feature allows customers to submit up to 100 quantum programs or a single parametric circuit with up to 100 parameter values within a single quantum task. Program sets help minimize the time between subsequent circuit executions reducing quantum task processing overhead for complex algorithms.

Program sets are particularly valuable for researchers working with variational quantum algorithms (VQA), quantum machine learning models, and error mitigation techniques. Customers can create program sets using two approaches: submitting multiple independent circuits together, or submitting a single parametric circuit with parameter sets. Amazon Braket handles compilation and execution orchestration, returning results that include the status and outcomes for each quantum program. If individual programs within a program set fail during execution, customers receive partial results for successfully completed programs and error information for failed executions. When submitting a program set, you pay a single per-task fee accompanied by a per-shot fee based on the total number of successful shots across your workload in a program set.

Program sets are initially available on all superconducting quantum processing units (QPUs) from Rigetti in the US West (N. California) Region and IQM in the Europe (Stockholm) Region. Customers are able to submit program sets to Braket directly via the Amazon Braket SDK, from Qiskit via the Qiskit-Braket provider, or from PennyLane via the Amazon Braket PennyLane Plugin.

To learn more about program sets, visit the Amazon Braket developer guide, explore our new example notebooks, and visit our updated Amazon Braket management console.

​Amazon Braket now supports program sets, enabling quantum researchers to run complex workloads requiring hundreds of quantum circuit executions up to 24X faster. This new feature allows customers to submit up to 100 quantum programs or a single parametric circuit with up to 100 parameter values within a single quantum task. Program sets help minimize the time between subsequent circuit executions reducing quantum task processing overhead for complex algorithms. Program sets are particularly valuable for researchers working with variational quantum algorithms (VQA), quantum machine learning models, and error mitigation techniques. Customers can create program sets using two approaches: submitting multiple independent circuits together, or submitting a single parametric circuit with parameter sets. Amazon Braket handles compilation and execution orchestration, returning results that include the status and outcomes for each quantum program. If individual programs within a program set fail during execution, customers receive partial results for successfully completed programs and error information for failed executions. When submitting a program set, you pay a single per-task fee accompanied by a per-shot fee based on the total number of successful shots across your workload in a program set. Program sets are initially available on all superconducting quantum processing units (QPUs) from Rigetti in the US West (N. California) Region and IQM in the Europe (Stockholm) Region. Customers are able to submit program sets to Braket directly via the Amazon Braket SDK, from Qiskit via the Qiskit-Braket provider, or from PennyLane via the Amazon Braket PennyLane Plugin. To learn more about program sets, visit the Amazon Braket developer guide, explore our new example notebooks, and visit our updated Amazon Braket management console.  

AWS Systems Manager Automation now offers three new features that enhance runbook execution control and success rates. Additionally, we are announcing updates to our free tier structure, as part of our ongoing commitment to providing simple, standardized, and cost-effective services to customers.

There are three key features added. First, customers can now easily re-execute runbooks directly from the Automation console with pre-populated parameters, streamlining repeated operations. Second, customers will be able to automatically retry throttled API calls during high-concurrency scenarios to improve execution reliability. Lastly, customers will be able to specify nested organizational units (OUs) in their target selection for more fine-grained control over their resources across accounts.

Additionally, the existing free tier for Automation (100,000 steps and 5,000 seconds of script duration per month) will no longer be available for new customers and will end on December 31, 2025 for existing customers. Customers can try Automation capabilities for free by starting a new AWS account under a free plan, where they can use up to $200 in Free Tier credits on eligible AWS Services. Automation pricing remains the same at $0.002 per step executed and $0.00003 per second of scripts executed.

Systems Manager Automation is available in all AWS Commercial and AWS GovCloud (US) Regions. To learn more about Automation, review the documentation and Systems Manager pricing page. For more details on available plans on new customer benefits, visit the AWS Free Tier page.

​AWS Systems Manager Automation now offers three new features that enhance runbook execution control and success rates. Additionally, we are announcing updates to our free tier structure, as part of our ongoing commitment to providing simple, standardized, and cost-effective services to customers. There are three key features added. First, customers can now easily re-execute runbooks directly from the Automation console with pre-populated parameters, streamlining repeated operations. Second, customers will be able to automatically retry throttled API calls during high-concurrency scenarios to improve execution reliability. Lastly, customers will be able to specify nested organizational units (OUs) in their target selection for more fine-grained control over their resources across accounts. Additionally, the existing free tier for Automation (100,000 steps and 5,000 seconds of script duration per month) will no longer be available for new customers and will end on December 31, 2025 for existing customers. Customers can try Automation capabilities for free by starting a new AWS account under a free plan, where they can use up to $200 in Free Tier credits on eligible AWS Services. Automation pricing remains the same at $0.002 per step executed and $0.00003 per second of scripts executed. Systems Manager Automation is available in all AWS Commercial and AWS GovCloud (US) Regions. To learn more about Automation, review the documentation and Systems Manager pricing page. For more details on available plans on new customer benefits, visit the AWS Free Tier page.  

• Categoría: Noticias de Microsoft

agosto 14, 2025

Bing Image Creator agrega GPT-4o junto con DALL-E3 para obtener aún más formas gratuitas de crear

Publicado en: Microsoft Bing Blogs.

Desde el lanzamiento de Bing Image Creator en marzo de 2023, nos ha encantado ver todo lo que han creado y compartido. De manera constante, evolucionamos Bing Image Creator en función de sus comentarios, y esta actualización se trata de brindarles más opciones y creatividad que nunca.

Estamos encantados de compartir que Bing Image Creator ahora incluye el último modelo de generación de imágenes GPT-4o, de forma gratuita. Esta actualización les ofrece aún más inteligencia, flexibilidad y opciones; GPT-4o se une al modelo DALL-E3 existente que muchos de ustedes conocen y aman para que puedan convertir sus ideas en imágenes impresionantes con mayor facilidad, confianza y control.

Encontrar lo que necesitan es solo el comienzo. Bing, como su motor de búsqueda y respuestas impulsado por IA, les da la libertad de crear justo lo que buscan.

Para empezar a crear con GPT-4o, visiten bing.com/create, abran la aplicación de Bing, creen directo en Copilot Search o escriban en la barra de búsqueda de Bing o en la barra de direcciones de Edge.**

Bing Image Creator, ahora con GPT-4o

En 2023, Bing Image Creator llevó el poder de la generación de imágenes de IA a todos, de forma gratuita. Siempre ha sido nuestra misión brindarles las herramientas para satisfacer su curiosidad.

Es por eso que a partir de ahora, Bing Image Creator les ofrece la opción de dos modelos que se adaptan a sus necesidades: GPT-4o y DALL-E3. GPT-4o ofrece un gran salto en la calidad de generación de imágenes, para brindar a los usuarios una experiencia mejorada con imágenes más creativas y fotorrealistas, así como una comprensión más profunda de prompts detallados, incluida una representación mejorada del texto y los detalles finos. Ya sea que elaboren un tablero de estado de ánimo, visualicen una idea de producto o solo exploren su imaginación, GPT-4o da vida a su visión con una generación de imágenes más rica.

Reconocemos que la creatividad no es nada sin libertad. Es por eso que ahora, con solo un clic, pueden cambiar los modelos a DALL-E3 no solo para obtener una generación rápida de imágenes de IA, sino también más opciones para elegir, todo con la misma apariencia a la que estaban acostumbrados de Bing Image Creator.

Bing Image Creator está disponible en todas las plataformas del mundo***, incluidas bing.com/create y dentro de Copilot Search.

Bing Image Creator se mantiene de uso gratuito con 15 creaciones rápidas disponibles.*

Dejen volar su imaginación

Estamos ansiosos por ver lo que crean. Para poner en marcha su imaginación, den un vistazo a dos de nuestros ejemplos favoritos a continuación:

Prompt: Un gran pez koi nadando a través de las nubes con linternas flotando y una luna creciente en el fondo, en tonos pastel de ensueño, realistas

Prompt: Una infografía hermosa, cuadrada, detallada, elegante, moderna y científica titulada «Fases de la Luna», con ilustraciones para cada fase y un fondo estrellado

Pruébenlo hoy

¿Listos para crear algo increíble? Diríjanse a bing.com/create, abran la aplicación Bing, creen directo en Copilot Search o escriban en la barra de búsqueda de Bing o en la barra de direcciones de Edge** para probar Bing Image Creator.

*15 creaciones rápidas diarias. A partir de entonces, las creaciones rápidas requerirán 10 puntos de recompensa por creación. Las creaciones de velocidad estándar son ilimitadas.

**Se requiere Bing como motor de búsqueda predeterminado

***Excepto Rusia y China

Etiquetas:

• IA
• Tecnología
• Vida y Trabajo

The post Bing Image Creator agrega GPT-4o junto con DALL-E3 para obtener aún más formas gratuitas de crear appeared first on Source LATAM.

​The post Bing Image Creator agrega GPT-4o junto con DALL-E3 para obtener aún más formas gratuitas de crear appeared first on Source LATAM.  

Amazon Q Business, the generative AI-powered assistant for finding information, gaining insight, and taking action at work, today introduced Agentic Retrieval-Augmented Generation (RAG) for Q Business applications. The new feature significantly enhances the ability of Q Business to provide more accurate and explainable responses to complex, multi-step RAG queries.

Using Agentic RAG, Q Business uses AI agents to dynamically plan the retrieval and response generation for user’s queries that target enterprise data. Agentic RAG breaks down complex queries into simpler ones, executes them in parallel to retrieve data, intelligently invokes data retrieval tools, and combines the data to generate comprehensive responses. The built-in AI agents critique and validate the responses, and retry retrievals if necessary, resulting in higher accuracy. Through Agentic RAG, Q Business delivers a more intuitive dialogue experience, proactively resolving data conflicts through targeted clarifying questions and maintaining momentum with contextually relevant follow-ups – all while keeping users informed of the actions that Q Business takes.

Agentic RAG is available in all AWS Regions where Amazon Q Business is offered. For any of their queries targeting their company knowledge, users can leverage this feature by toggling the “Advanced Search” option in the built-in web application. For more details, refer to the documentation. For more information about Amazon Q Business and its features, please visit the Amazon Q product page.

​Amazon Q Business, the generative AI-powered assistant for finding information, gaining insight, and taking action at work, today introduced Agentic Retrieval-Augmented Generation (RAG) for Q Business applications. The new feature significantly enhances the ability of Q Business to provide more accurate and explainable responses to complex, multi-step RAG queries. Using Agentic RAG, Q Business uses AI agents to dynamically plan the retrieval and response generation for user’s queries that target enterprise data. Agentic RAG breaks down complex queries into simpler ones, executes them in parallel to retrieve data, intelligently invokes data retrieval tools, and combines the data to generate comprehensive responses. The built-in AI agents critique and validate the responses, and retry retrievals if necessary, resulting in higher accuracy. Through Agentic RAG, Q Business delivers a more intuitive dialogue experience, proactively resolving data conflicts through targeted clarifying questions and maintaining momentum with contextually relevant follow-ups – all while keeping users informed of the actions that Q Business takes. Agentic RAG is available in all AWS Regions where Amazon Q Business is offered. For any of their queries targeting their company knowledge, users can leverage this feature by toggling the “Advanced Search” option in the built-in web application. For more details, refer to the documentation. For more information about Amazon Q Business and its features, please visit the Amazon Q product page.  

Today, AWS Resource Explorer introduces support for filtering on multiple values in both the Search and ListResources APIs. This new feature allows customers to build targeted queries to find resources more easily.

The new filtering feature allows customers to search for resources based on multiple criteria simultaneously, improving upon the previous process where they had to query each individual facet and combine the search results. For example, customers can now find all storage-types tagged as non-production by querying “tag.key:environment tag.value:dev,test,integ service:dynamodb,rds,ebs…”. Importantly, customers with large AWS Organizations can now scope their Resource Explorer Views to specific listed accounts, rather than being scoped to an entire Organization or Organizational Unit. To scope multi-account views to a specific set of accounts, add a view filter with the “account:” operator, and a comma-separated list of account IDs to be included in search results.

This feature is available in all AWS Regions where AWS Resource Explorer is supported. For specific regional availability, please refer to the AWS Regional Services List.

To learn more about this new feature visit the AWS Resource Explorer documentation page. You can start using this enhanced querying capability immediately through the AWS Management Console, AWS CLI, or AWS SDKs.

​Today, AWS Resource Explorer introduces support for filtering on multiple values in both the Search and ListResources APIs. This new feature allows customers to build targeted queries to find resources more easily. The new filtering feature allows customers to search for resources based on multiple criteria simultaneously, improving upon the previous process where they had to query each individual facet and combine the search results. For example, customers can now find all storage-types tagged as non-production by querying “tag.key:environment tag.value:dev,test,integ service:dynamodb,rds,ebs…”. Importantly, customers with large AWS Organizations can now scope their Resource Explorer Views to specific listed accounts, rather than being scoped to an entire Organization or Organizational Unit. To scope multi-account views to a specific set of accounts, add a view filter with the “account:” operator, and a comma-separated list of account IDs to be included in search results.
This feature is available in all AWS Regions where AWS Resource Explorer is supported. For specific regional availability, please refer to the AWS Regional Services List. To learn more about this new feature visit the AWS Resource Explorer documentation page. You can start using this enhanced querying capability immediately through the AWS Management Console, AWS CLI, or AWS SDKs.