Amazon Relational Database Service (Amazon RDS) for Oracle offers Reserved Instances for R7i and M7i instances with up to 46% cost savings compared to On-Demand prices. These instances are powered by custom 4th Generation Intel Xeon Scalable processors and provide larger sizes up to 48xlarge with 192 vCPUs and 1536 GiB of latest DDR5 memory.
Reserved instance benefits apply to both Multi-AZ and Single-AZ configurations. This means that customers can move freely between configurations within the same database instance class type, making them ideal for varying production workloads. Amazon RDS for Oracle Reserved Instances also provide size flexibility for the Oracle database engine under the Bring Your Own License (BYOL) licensing model. With size flexibility, discounted rate for Reserved Instances will automatically apply to usage of any size in the same instance family.
Customers can now purchase Reserved Instances for Amazon RDS Oracle in all AWS regions where R7i and M7i instances are available. For information on specific Oracle database editions and licensing options that support these database instance types, refer to the Amazon RDS user guide.
To get started, purchase Reserved Instances through the AWS Management Console, AWS CLI, or AWS SDK. For detailed pricing information and purchase options, visit the Amazon RDS for Oracle pricing page.
Amazon Relational Database Service (Amazon RDS) for Oracle offers Reserved Instances for R7i and M7i instances with up to 46% cost savings compared to On-Demand prices. These instances are powered by custom 4th Generation Intel Xeon Scalable processors and provide larger sizes up to 48xlarge with 192 vCPUs and 1536 GiB of latest DDR5 memory. Reserved instance benefits apply to both Multi-AZ and Single-AZ configurations. This means that customers can move freely between configurations within the same database instance class type, making them ideal for varying production workloads. Amazon RDS for Oracle Reserved Instances also provide size flexibility for the Oracle database engine under the Bring Your Own License (BYOL) licensing model. With size flexibility, discounted rate for Reserved Instances will automatically apply to usage of any size in the same instance family. Customers can now purchase Reserved Instances for Amazon RDS Oracle in all AWS regions where R7i and M7i instances are available. For information on specific Oracle database editions and licensing options that support these database instance types, refer to the Amazon RDS user guide. To get started, purchase Reserved Instances through the AWS Management Console, AWS CLI, or AWS SDK. For detailed pricing information and purchase options, visit the Amazon RDS for Oracle pricing page.
AWS License Manager now supports license type conversions for AWS Marketplace products, initially for Red Hat Enterprise Linux (RHEL) and RHEL for SAP products. Using AWS License Manager, Amazon EC2 customers can now switch Red Hat subscriptions between AWS-provided and Red Hat-provided options from AWS Marketplace without re-deploying instances.
License conversion empowers customers to optimize their licensing strategy by seamlessly transitioning between different subscription models, whether purchased directly through EC2 or from the vendor in AWS Marketplace. Utilizing the license type conversion process, customers are now no longer required to re-deploy instances when switching licenses, reducing downtime and IT operational overhead. By switching their license, customers can negotiate custom pricing directly with vendors and transact through private offers in AWS Marketplace. This new flexibility allows customers to consolidate their vendor spend in AWS Marketplace and maintain preferred vendor relationships for support.
License type conversion for select AWS Marketplace products is available in all AWS Commercial and AWS GovCloud (US) Regions where AWS Marketplace is available.
To get started, customers can configure Linux subscriptions discovery through the AWS License Manager console, AWS CLI, or License Manager Linux subscription API, and create a license type conversion. For more information and to begin using this capability, visit the AWS License Manager page or AWS Marketplace Buyer Guide.
AWS License Manager now supports license type conversions for AWS Marketplace products, initially for Red Hat Enterprise Linux (RHEL) and RHEL for SAP products. Using AWS License Manager, Amazon EC2 customers can now switch Red Hat subscriptions between AWS-provided and Red Hat-provided options from AWS Marketplace without re-deploying instances. License conversion empowers customers to optimize their licensing strategy by seamlessly transitioning between different subscription models, whether purchased directly through EC2 or from the vendor in AWS Marketplace. Utilizing the license type conversion process, customers are now no longer required to re-deploy instances when switching licenses, reducing downtime and IT operational overhead. By switching their license, customers can negotiate custom pricing directly with vendors and transact through private offers in AWS Marketplace. This new flexibility allows customers to consolidate their vendor spend in AWS Marketplace and maintain preferred vendor relationships for support. License type conversion for select AWS Marketplace products is available in all AWS Commercial and AWS GovCloud (US) Regions where AWS Marketplace is available. To get started, customers can configure Linux subscriptions discovery through the AWS License Manager console, AWS CLI, or License Manager Linux subscription API, and create a license type conversion. For more information and to begin using this capability, visit the AWS License Manager page or AWS Marketplace Buyer Guide.
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7i-flex and C7i instances are available in the Asia Pacific (Hong Kong) and Europe (Zurich) Regions. These instances are powered by powered by custom 4th Generation Intel Xeon Scalable processors (code-named Sapphire Rapids) custom processors, available only on AWS, and offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers.
C7i-flex instances expand the EC2 Flex instances portfolio to provide the easiest way for you to get price performance benefits for a majority of compute intensive workloads, and deliver up to 19% better price-performance compared to C6i. C7i-flex instances offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources. With C7i-flex instances, you can seamlessly run web and application servers, databases, caches, Apache Kafka, and Elasticsearch, and more.
C7i instances deliver up to 15% better price-performance versus C6i instances and are a great choice for all compute-intensive workloads, such as batch processing, distributed analytics, ad serving, and video encoding. C7i instances offer larger instance sizes, up to 48xlarge, and two bare metal sizes (metal-24xl, metal-48xl). These bare-metal sizes support built-in Intel accelerators: Data Streaming Accelerator, In-Memory Analytics Accelerator, and QuickAssist Technology that are used to facilitate efficient offload and acceleration of data operations and optimize performance for workloads.
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7i-flex and C7i instances are available in the Asia Pacific (Hong Kong) and Europe (Zurich) Regions. These instances are powered by powered by custom 4th Generation Intel Xeon Scalable processors (code-named Sapphire Rapids) custom processors, available only on AWS, and offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers. C7i-flex instances expand the EC2 Flex instances portfolio to provide the easiest way for you to get price performance benefits for a majority of compute intensive workloads, and deliver up to 19% better price-performance compared to C6i. C7i-flex instances offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources. With C7i-flex instances, you can seamlessly run web and application servers, databases, caches, Apache Kafka, and Elasticsearch, and more. C7i instances deliver up to 15% better price-performance versus C6i instances and are a great choice for all compute-intensive workloads, such as batch processing, distributed analytics, ad serving, and video encoding. C7i instances offer larger instance sizes, up to 48xlarge, and two bare metal sizes (metal-24xl, metal-48xl). These bare-metal sizes support built-in Intel accelerators: Data Streaming Accelerator, In-Memory Analytics Accelerator, and QuickAssist Technology that are used to facilitate efficient offload and acceleration of data operations and optimize performance for workloads. To learn more, visit Amazon EC2 C7i Instances. To get started, see the AWS Management Console.
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M7i-flex and M7i instances powered by custom 4th Gen Intel Xeon Scalable processors (code-named Sapphire Rapids) are available in Asia Pacific (Hong Kong) region. These custom processors, available only on AWS, offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers.
M7i-flex instances are the easiest way for you to get price-performance benefits for a majority of general-purpose workloads. They deliver up to 19% better price-performance compared to M6i. M7i-flex instances offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources such as web and application servers, virtual-desktops, batch-processing, and microservices.
M7i deliver up to 15% better price-performance compared to M6i. M7i instances are a great choice for workloads that need the largest instance sizes or continuous high CPU usage, such as gaming servers, CPU-based machine learning (ML), and video-streaming. M7i offer larger instance sizes, up to 48xlarge, and two bare metal sizes (metal-24xl, metal-48xl). These bare-metal sizes support built-in Intel accelerators: Data Streaming Accelerator, In-Memory Analytics Accelerator, and QuickAssist Technology that are used to facilitate efficient offload and acceleration of data operations and optimize performance for workloads.
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M7i-flex and M7i instances powered by custom 4th Gen Intel Xeon Scalable processors (code-named Sapphire Rapids) are available in Asia Pacific (Hong Kong) region. These custom processors, available only on AWS, offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers. M7i-flex instances are the easiest way for you to get price-performance benefits for a majority of general-purpose workloads. They deliver up to 19% better price-performance compared to M6i. M7i-flex instances offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources such as web and application servers, virtual-desktops, batch-processing, and microservices. M7i deliver up to 15% better price-performance compared to M6i. M7i instances are a great choice for workloads that need the largest instance sizes or continuous high CPU usage, such as gaming servers, CPU-based machine learning (ML), and video-streaming. M7i offer larger instance sizes, up to 48xlarge, and two bare metal sizes (metal-24xl, metal-48xl). These bare-metal sizes support built-in Intel accelerators: Data Streaming Accelerator, In-Memory Analytics Accelerator, and QuickAssist Technology that are used to facilitate efficient offload and acceleration of data operations and optimize performance for workloads. To learn more, visit Amazon EC2 M7i Instances. To get started, see the AWS Management Console.
AWS Lambda now provides native support for Avro and Protobuf formatted Kafka events with Apache Kafka’s event-source-mapping (ESM), and integrates with AWS Glue Schema registry (GSR), Confluent Cloud Schema registry (CCSR), and self-managed Confluent Schema registry (SCSR) for schema management. This enables you to validate your schema, filter events, and process events using open-source Kafka consumer interfaces. Additionally, customers can use Powertools for AWS Lambda to process their Kafka events without writing custom deserialization code, making it easier to build their Kafka applications with AWS Lambda.
Kafka customers use Avro and Protobuf formats for efficient data storage, fast serialization and deserialization, schema evolution support, and interoperability between different programming languages. They utilize schema registry to manage, evolve, and validate schemas before data enters processing pipelines. Previously, customers were required to write custom code within their Lambda function, in order to validate, de-serialize, and filter events when using these data formats. With today’s launch, Lambda natively supports Avro and Protobuf as well as integration with GSR, CCSR and SCSR, enabling customers to process their Kafka events using these data formats, without writing custom code. Additionally, customers can optimize costs through event filtering to prevent unnecessary function invocations.
This feature is generally available in all AWS Commercial Regions where AWS Lambda Kafka ESM is available, except Israel (Tel Aviv), Asia Pacific (Malaysia), and Canada West (Calgary).
To get started, provide your schema registry configuration for your new or existing Kafka ESM in the ESM API, AWS Console, AWS CLI, AWS SDK, AWS CloudFormation, and AWS SAM. Optionally, you can setup filtering rules to discard irrelevant Avro or Protobuf formatted events before function invocations. To build your function with Kafka’s open-source ConsumerRecords interface, add Powertools for AWS Lambda as a dependency within your Lambda function. To learn more, read Lambda ESM documentation and AWS Lambda pricing.
AWS Lambda now provides native support for Avro and Protobuf formatted Kafka events with Apache Kafka’s event-source-mapping (ESM), and integrates with AWS Glue Schema registry (GSR), Confluent Cloud Schema registry (CCSR), and self-managed Confluent Schema registry (SCSR) for schema management. This enables you to validate your schema, filter events, and process events using open-source Kafka consumer interfaces. Additionally, customers can use Powertools for AWS Lambda to process their Kafka events without writing custom deserialization code, making it easier to build their Kafka applications with AWS Lambda. Kafka customers use Avro and Protobuf formats for efficient data storage, fast serialization and deserialization, schema evolution support, and interoperability between different programming languages. They utilize schema registry to manage, evolve, and validate schemas before data enters processing pipelines. Previously, customers were required to write custom code within their Lambda function, in order to validate, de-serialize, and filter events when using these data formats. With today’s launch, Lambda natively supports Avro and Protobuf as well as integration with GSR, CCSR and SCSR, enabling customers to process their Kafka events using these data formats, without writing custom code. Additionally, customers can optimize costs through event filtering to prevent unnecessary function invocations. This feature is generally available in all AWS Commercial Regions where AWS Lambda Kafka ESM is available, except Israel (Tel Aviv), Asia Pacific (Malaysia), and Canada West (Calgary). To get started, provide your schema registry configuration for your new or existing Kafka ESM in the ESM API, AWS Console, AWS CLI, AWS SDK, AWS CloudFormation, and AWS SAM. Optionally, you can setup filtering rules to discard irrelevant Avro or Protobuf formatted events before function invocations. To build your function with Kafka’s open-source ConsumerRecords interface, add Powertools for AWS Lambda as a dependency within your Lambda function. To learn more, read Lambda ESM documentation and AWS Lambda pricing.
The post Nuestro Informe de Transparencia de IA Responsable 2025: cómo construimos, apoyamos a nuestros clientes y crecemos appeared first on Source LATAM.
Anthropic’s Claude 3.7 Sonnet hybrid reasoning model is now available in Europe (London). Claude 3.7 Sonnet offers advanced AI capabilities with both quick responses and extended, step-by-step thinking made visible to the user. This model has strong capabilities in coding and brings enhanced performance across various tasks, like instruction following, math, and physics.
Claude 3.7 Sonnet introduces a unique approach to AI reasoning by integrating it seamlessly with other capabilities. Unlike traditional models that separate quick responses from those requiring deeper thought, Claude 3.7 Sonnet allows users to toggle between standard and extended thinking modes. In standard mode, it functions as an upgraded version of Claude 3.5 Sonnet. In extended thinking mode, it employs self-reflection to achieve improved results across a wide range of tasks. Amazon Bedrock customers can adjust how long the model thinks, offering a flexible trade-off between speed and answer quality. Additionally, users can control the reasoning budget by specifying a token limit, enabling more precise cost management.
Claude 3.7 Sonnet is also available on Amazon Bedrock in the Europe (Frankfurt), Europe (Ireland), Europe (Paris), Europe (Stockholm), US East (N. Virginia), US East (Ohio), and US West (Oregon) regions. To get started, visit the Amazon Bedrock console. Integrate it into your applications using the Amazon Bedrock API or SDK. For more information, see the AWS News Blog and Claude in Amazon Bedrock.
Anthropic’s Claude 3.7 Sonnet hybrid reasoning model is now available in Europe (London). Claude 3.7 Sonnet offers advanced AI capabilities with both quick responses and extended, step-by-step thinking made visible to the user. This model has strong capabilities in coding and brings enhanced performance across various tasks, like instruction following, math, and physics. Claude 3.7 Sonnet introduces a unique approach to AI reasoning by integrating it seamlessly with other capabilities. Unlike traditional models that separate quick responses from those requiring deeper thought, Claude 3.7 Sonnet allows users to toggle between standard and extended thinking modes. In standard mode, it functions as an upgraded version of Claude 3.5 Sonnet. In extended thinking mode, it employs self-reflection to achieve improved results across a wide range of tasks. Amazon Bedrock customers can adjust how long the model thinks, offering a flexible trade-off between speed and answer quality. Additionally, users can control the reasoning budget by specifying a token limit, enabling more precise cost management. Claude 3.7 Sonnet is also available on Amazon Bedrock in the Europe (Frankfurt), Europe (Ireland), Europe (Paris), Europe (Stockholm), US East (N. Virginia), US East (Ohio), and US West (Oregon) regions. To get started, visit the Amazon Bedrock console. Integrate it into your applications using the Amazon Bedrock API or SDK. For more information, see the AWS News Blog and Claude in Amazon Bedrock.
Starting today, you can use E-RTMP (Enhanced Real-Time Messaging Protocol) multitrack video to send multiple video qualities to your Amazon Interactive Video Service (Amazon IVS) stages. This feature enables adaptive bitrate streaming, allowing viewers to watch in the best quality for their network connection. Multitrack video is supported in OBS Studio and complements the existing simulcast capabilities in the IVS broadcast SDK. There is no additional cost for using multitrack video with Real-Time Streaming.
Amazon IVS is a managed live streaming solution designed to make low-latency or real-time video available to viewers around the world. Visit the AWS region table for a full list of AWS Regions where the Amazon IVS console and APIs for control and creation of video streams are available.
Starting today, you can use E-RTMP (Enhanced Real-Time Messaging Protocol) multitrack video to send multiple video qualities to your Amazon Interactive Video Service (Amazon IVS) stages. This feature enables adaptive bitrate streaming, allowing viewers to watch in the best quality for their network connection. Multitrack video is supported in OBS Studio and complements the existing simulcast capabilities in the IVS broadcast SDK. There is no additional cost for using multitrack video with Real-Time Streaming. Amazon IVS is a managed live streaming solution designed to make low-latency or real-time video available to viewers around the world. Visit the AWS region table for a full list of AWS Regions where the Amazon IVS console and APIs for control and creation of video streams are available. To learn more, please visit the Amazon IVS RTMP ingest documentation page.
Creen videos con sus palabras de forma gratuita – Presentamos Bing Video Creator
Publicado en: Blog de Microsoft Bing.
Las preguntas merecen respuestas, las ideas piden ser realizadas y la curiosidad busca satisfacción. Hace dos años, presentamos esta creencia con Bing Image Creator, para ayudar a los usuarios de todo el mundo a crear lo que puedan imaginar a través de las palabras, de forma gratuita. El mes pasado, continuamos con la próxima evolución de la búsqueda con Copilot Search en Bing, donde combinamos lo mejor de la búsqueda tradicional y generativa para encontrarlos en el punto en el que se encuentran en su viaje de descubrimiento.
Hoy damos el siguiente paso con Bing Video Creator, que les permite convertir sus ideas en vídeos de forma gratuita. Con la tecnología de Sora, Bing Video Creator transforma sus mensajes de texto en videos cortos. Solo describan lo que quieren ver y observen cómo su visión cobra vida.
Bing, como motor de búsqueda y respuestas impulsado por IA, no solo los ayuda a encontrar lo que necesitan, sino que les da la libertad de crear justo lo que buscan.
Bing Video Creator es gratuito y se implementará a partir de hoy en la aplicación móvil de Bing y pronto llegará al escritorio y dentro de Copilot Search. Para empezar, descarguen la aplicación Bing Mobile.
Llevar la creación al alcance de su mano
Bing Video Creator representa nuestros esfuerzos por democratizar el poder de la generación de videos con IA. Creemos que la creatividad debe ser sencilla y accesible para ayudarlos a satisfacer su proceso de búsqueda de respuestas.
Ya sea que den rienda suelta a su imaginación, den vida a una historia o busquen el video perfecto para comunicar lo que piensan, Bing Video Creator pone el poder de la creación de videos al alcance de su mano. Estamos emocionados de empoderar a cualquiera para que convierta sus palabras en maravillas a través de un video generado por IA.
Cómo usar Bing Video Creator
Empezar a usar Bing Video Creator es fácil. Abran Video Creator dentro de la aplicación Bing Mobile al hacer clic en el menú en la esquina inferior derecha y seleccionar «Video Creator» (Creador de Video). También pueden escribir directo en la barra de búsqueda de la aplicación móvil de Bing «Crear un vídeo de…» para un acceso rápido a la creación de vídeos. Una vez que Bing Video Creator esté disponible en el escritorio, pueden visitar Bing.com/create.
Abran la aplicación Bing y hagan clic en el menú en la esquina inferior derecha, luego seleccionen «Creador de video».
Luego, solo escriban una descripción del video que desean crear en la caja de prompt. Los mejores prompts proporcionan contexto, descripción y detalles adicionales. Hagan clic en «Crear» y dejen que la IA genere su video. Siéntanse libres de continuar con sus sueños con nuevos videos: recibirán una notificación cuando su video esté listo para ver.
Den un vistazo a este divertido prompt a continuación: «En una concurrida pizzería italiana, una pequeña nutria trabaja como chef y usa un sombrero de chef y un delantal. Amasa la masa con sus patas y está rodeado de otros ingredientes de la pizza».
Los videos duran 5 segundos y se pueden crear en formato 9:16, y pronto en formato 16:9. También pueden poner en cola hasta tres generaciones de vídeo a la vez. Si las tres ranuras están en uso, deberán esperar a que una termine antes de comenzar otra.
Una vez que su video haya terminado de generarse, recibirán una notificación conveniente que les informará que su video está listo. Pueden optar por descargar el video, compartirlo por correo electrónico o a través de sus plataformas de redes sociales favoritas, o copiar y compartir un enlace directo al video.
Sus creaciones se almacenan hasta por 90 días, lo que les da tiempo suficiente para descargar, compartir o refinar sus prompts.
La creación de videos es gratuita para todos los usuarios, con la posibilidad de elegir entre velocidades de generación Rápida y Estándar. Comiencen con 10 creaciones rápidas para que su imaginación cobre vida en segundos. Después de eso, hagan que la creatividad fluya sin interrupciones al canjear 100 puntos de Microsoft Rewards por cada creación rápida o continúa con las velocidades de creación estándar.*
Bing Video Creator se lanzará a partir de hoy en todo el mundo (excepto en China y Rusia).
Casos de uso e inspiración
Bing Video Creator es para cualquiera que tenga una historia que contar. Aquí hay algunas formas en que pueden usarlo:
1. Momentos especiales: ¿Necesitan una imagen rápida y atractiva para conmemorar un momento especial? ¡Generen un video corto que le dé vida!
2. Comunicación: Conviertan su idea en algo fácil de entender, una broma en un recuerdo duradero o añadan una experiencia personalizada a sus conversaciones cotidianas. O destaquen en el desplazamiento al compartir su creación en las redes sociales.
3. Descubrimiento: La lluvia de ideas es ahora más fácil que nunca con la capacidad de probar direcciones creativas, explorar diferentes estilos, dar vida a objetos, crear tableros de estado de ánimo y más. Es una excelente manera de dejar que su curiosidad deambule con libertad y descubrir lo que pueden imaginar.
Consejos y trucos
Tanto si apenas empiezan como si quieren perfeccionar sus vídeos generados por IA, estos consejos les ayudarán a desbloquear todo el potencial de Bing Video Creator.
1. Sean descriptivos con sus prompts Cuanto más vívidos y específicos sean sus prompts, mejores serán los resultados. En lugar de «una persona que camina», prueben con «una mujer joven con un abrigo rojo camina por un bosque nevado al amanecer». Cuanto más detalle, mejor. Incluir los ángulos de la cámara y la iluminación también ayuda a que el modelo ofrezca lo que buscan.
2. Utilicen lenguaje orientado a la acción y a la puesta en escena Verbos como «bailar», «explorar» o «transformar» ayudan a la IA a entender el movimiento y la intención, lo que da lugar a imágenes más dinámicas. Adjetivos como «cinematográfico», «soleado» o «de ensueño» ayudan a crear la sensación general del video.
3. Experimenten con el tono y el estilo ¿Quieren algo cinematográfico? Añadan «al estilo del tráiler de una película». ¿Buscan algo divertido? Intenten «animado como una caricatura». Los modificadores de prompt pueden cambiar de manera importante la estética.
IA Responsable
En Microsoft, nuestros equipos se guían por nuestros principios de IA Responsable y el estándar de IA Responsable para ayudarles a desarrollar e implementar sistemas de IA de forma responsable. Para frenar el posible uso indebido de Video Creator, hemos utilizado las salvaguardas Sora existentes de OpenAI e incorporado protecciones adicionales para ofrecer una experiencia que fomente el uso responsable de Video Creator. Por ejemplo, hemos implementado controles que tienen como objetivo limitar la generación de videos dañinos o inseguros. Cuando nuestro sistema detecta que un video, en potencia dañino, podría ser generado por un prompt, se bloquea el prompt y advierte al usuario. Para cada vídeo creado con Bing Video Creator, hemos implementado credenciales de contenido y procedencia basadas en el estándar C2PA para ayudar a los usuarios a identificar los vídeos generados por IA.
Prueben Bing Video Creator hoy mismo
Estamos ansiosos por ver lo que crean con Bing Video Creator. Seguimos con las mejoras y la evolución de la experiencia a medida que llevamos la generación de vídeos a más usuarios. Prueben Bing Video Creator hoy mismo: https://aka.ms/TryBingVideoCreator
El equipo de Bing
*Hasta 10 creaciones Rápidas por usuario. A partir de entonces, las creaciones se procesarán a la velocidad estándar. Para continuar con el uso de las creaciones rápidas, los usuarios pueden canjear 100 puntos de Microsoft Rewards por cada vídeo. Más información sobre cómo ganar puntos Rewards aquí.
Starting today, Amazon EC2 High Memory U7i instances with 8TB of memory (u7i-8tb.112xlarge) are now available in the US West (Oregon) region. U7i-8tb instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-8tb instances offer 8TiB of DDR5 memory enabling customers to scale transaction processing throughput in a fast-growing data environment.
U7i-8tb instances offer 448 vCPUs, support up to 60Gbps 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.
Starting today, Amazon EC2 High Memory U7i instances with 8TB of memory (u7i-8tb.112xlarge) are now available in the US West (Oregon) region. U7i-8tb instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-8tb instances offer 8TiB of DDR5 memory enabling customers to scale transaction processing throughput in a fast-growing data environment. U7i-8tb instances offer 448 vCPUs, support up to 60Gbps 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.
