AWS Parallel Computing Service (PCS) now supports Slurm CLI Filter plugins, enabling you to extend and modify how Slurm schedules and processes your high performance computing (HPC) workloads without modifying Slurm directly.
Using CLI Filter plugins, you can now define custom policies for job submission to your clusters. For example, you can define policies that verify certain flags or fields of jobs when users submit them, automatically reject jobs submitted without specific attributes, or even modify job parameters.
PCS is a managed service that makes it easier for you to run and scale your high performance computing (HPC) workloads and build scientific and engineering models on AWS using Slurm. You can use PCS to build complete environments that integrate compute, storage, networking, and visualization. PCS simplifies cluster operations with managed updates and built-in observability features, helping to remove the burden of maintenance. You can work in a familiar environment, focusing on your research and innovation instead of worrying about infrastructure.
This feature is now available in all AWS Regions where PCS is available. To learn more about using Slurm CLI Filter plugins with PCS, see the PCS User Guide.
AWS Parallel Computing Service (PCS) now supports Slurm CLI Filter plugins, enabling you to extend and modify how Slurm schedules and processes your high performance computing (HPC) workloads without modifying Slurm directly. Using CLI Filter plugins, you can now define custom policies for job submission to your clusters. For example, you can define policies that verify certain flags or fields of jobs when users submit them, automatically reject jobs submitted without specific attributes, or even modify job parameters. PCS is a managed service that makes it easier for you to run and scale your high performance computing (HPC) workloads and build scientific and engineering models on AWS using Slurm. You can use PCS to build complete environments that integrate compute, storage, networking, and visualization. PCS simplifies cluster operations with managed updates and built-in observability features, helping to remove the burden of maintenance. You can work in a familiar environment, focusing on your research and innovation instead of worrying about infrastructure. This feature is now available in all AWS Regions where PCS is available. To learn more about using Slurm CLI Filter plugins with PCS, see the PCS User Guide.
Starting today, the general-purpose Amazon EC2 M8a instances are available in US East (N. Virginia) and Asia Pacific (Tokyo) regions. M8a instances are powered by 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 M7a instances.
M8a instances deliver 45% more memory bandwidth compared to M7a instances, making these instances ideal for even latency sensitive workloads. M8a instances deliver even higher performance gains for specific workloads. M8a instances are up to 60% faster for GroovyJVM benchmark, and up to 39% faster for Cassandra benchmark compared to Amazon EC2 M7a instances. M8a instances are SAP-certified and offer 12 sizes including 2 bare metal sizes. This range of instance sizes allows customers to precisely match their workload requirements.
M8a instances are built using the latest sixth generation AWS Nitro Cards and ideal for applications that benefit from high performance and high throughput such as financial applications, gaming, rendering, application servers, simulation modeling, mid-size data stores, application development environments, and caching fleets.
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 M8a instance page.
Starting today, the general-purpose Amazon EC2 M8a instances are available in US East (N. Virginia) and Asia Pacific (Tokyo) regions. M8a instances are powered by 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 M7a instances. M8a instances deliver 45% more memory bandwidth compared to M7a instances, making these instances ideal for even latency sensitive workloads. M8a instances deliver even higher performance gains for specific workloads. M8a instances are up to 60% faster for GroovyJVM benchmark, and up to 39% faster for Cassandra benchmark compared to Amazon EC2 M7a instances. M8a instances are SAP-certified and offer 12 sizes including 2 bare metal sizes. This range of instance sizes allows customers to precisely match their workload requirements. M8a instances are built using the latest sixth generation AWS Nitro Cards and ideal for applications that benefit from high performance and high throughput such as financial applications, gaming, rendering, application servers, simulation modeling, mid-size data stores, application development environments, and caching fleets. 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 M8a instance page.
Amazon CloudWatch now enables you to create more flexible alerting policies by triggering notifications when a specific subset of your monitored resources need attention. Using CloudWatch composite alarms, you can create a rule to take action only when a certain combination of alarms is activated. This enhancement lets you choose to receive alerts only when a certain number of resources are impacted, helping you focus on meaningful incidents.
The new threshold function in composite alarms allows you to eliminate unnecessary alerts for minor issues while ensuring quick notification of significant problems. IT operations teams can configure alerts to trigger when, for instance, at least two out of four storage volumes are running low on capacity, or when 50% of hosts in a cluster show high CPU utilization. The feature supports both fixed numbers and percentages, making it easy to maintain effective monitoring even as your infrastructure grows or changes.
This capability is now available in all commercial AWS regions, the AWS GovCloud (US) Regions, and the China Regions.
To create a threshold-based condition in a composite alarm, simply use the AT_LEAST function in the alarm’s condition. Composite alarms’ pricing applies, see CloudWatch pricing for details. To learn more about the threshold function’s parameters, visit the Amazon CloudWatch documentation for composite alarms.
Amazon CloudWatch now enables you to create more flexible alerting policies by triggering notifications when a specific subset of your monitored resources need attention. Using CloudWatch composite alarms, you can create a rule to take action only when a certain combination of alarms is activated. This enhancement lets you choose to receive alerts only when a certain number of resources are impacted, helping you focus on meaningful incidents. The new threshold function in composite alarms allows you to eliminate unnecessary alerts for minor issues while ensuring quick notification of significant problems. IT operations teams can configure alerts to trigger when, for instance, at least two out of four storage volumes are running low on capacity, or when 50% of hosts in a cluster show high CPU utilization. The feature supports both fixed numbers and percentages, making it easy to maintain effective monitoring even as your infrastructure grows or changes. This capability is now available in all commercial AWS regions, the AWS GovCloud (US) Regions, and the China Regions. To create a threshold-based condition in a composite alarm, simply use the AT_LEAST function in the alarm’s condition. Composite alarms’ pricing applies, see CloudWatch pricing for details. To learn more about the threshold function’s parameters, visit the Amazon CloudWatch documentation for composite alarms.
Mountpoint for Amazon S3 is now available in Amazon Linux 2023 (AL2023), simplifying how you get started and manage updates. Previously, you had to download the Mountpoint package from GitHub, install dependencies, and manually manage updates. Now, when using AL2023, you can install or update to the latest release of Mountpoint with a single command, and mount an Amazon S3 bucket.
Mountpoint for Amazon S3 is an open source project backed by AWS support, giving AWS Business and Enterprise Support customers 24/7 access to AWS cloud support engineers. To learn more and get started, visit GitHub, the Mountpoint overview page, the installation guide and AL2023 overview page.
Mountpoint for Amazon S3 is now available in Amazon Linux 2023 (AL2023), simplifying how you get started and manage updates. Previously, you had to download the Mountpoint package from GitHub, install dependencies, and manually manage updates. Now, when using AL2023, you can install or update to the latest release of Mountpoint with a single command, and mount an Amazon S3 bucket. Mountpoint for Amazon S3 is an open source project backed by AWS support, giving AWS Business and Enterprise Support customers 24/7 access to AWS cloud support engineers. To learn more and get started, visit GitHub, the Mountpoint overview page, the installation guide and AL2023 overview page.
Amazon Web Services (AWS) announces the availability of high performance Storage Optimized Amazon EC2 I7i instances in the AWS Asia Pacific (Hyderabad), Canada (Central) regions. Powered by 5th generation Intel Xeon Scalable processors with an all-core turbo frequency 3.2 GHz, these new instances deliver up to 23% better compute performance and more than 10% better price performance over previous generation I4i instances. Powered by 3rd generation AWS Nitro SSDs, I7i instances offer up to 45TB of NVMe storage with up to 50% better real-time storage performance, up to 50% lower storage I/O latency, and up to 60% lower storage I/O latency variability compared to I4i instances.
I7i instances offer the best compute and storage performance for x86-based storage optimized instances in Amazon EC2, ideal for I/O intensive and latency-sensitive workloads that demand very high random IOPS performance with real-time latency to access the small to medium size datasets (multi-TBs). Additionally, torn write prevention feature support up to 16KB block sizes, enabling customers to eliminate database performance bottlenecks. I7i instances also support real-time, high-resolution performance statistics for the NVMe instance store volumes attached to them. To learn more, visit the detailed NVMe performance statistics page.
I7i instances are available in eleven sizes – nine virtual sizes up to 48xlarge and two bare metal sizes – delivering up to 100Gbps of network bandwidth and 60Gbps of Amazon Elastic Block Store (EBS) bandwidth. To learn more, visit the I7i instances page.
Amazon Web Services (AWS) announces the availability of high performance Storage Optimized Amazon EC2 I7i instances in the AWS Asia Pacific (Hyderabad), Canada (Central) regions. Powered by 5th generation Intel Xeon Scalable processors with an all-core turbo frequency 3.2 GHz, these new instances deliver up to 23% better compute performance and more than 10% better price performance over previous generation I4i instances. Powered by 3rd generation AWS Nitro SSDs, I7i instances offer up to 45TB of NVMe storage with up to 50% better real-time storage performance, up to 50% lower storage I/O latency, and up to 60% lower storage I/O latency variability compared to I4i instances. I7i instances offer the best compute and storage performance for x86-based storage optimized instances in Amazon EC2, ideal for I/O intensive and latency-sensitive workloads that demand very high random IOPS performance with real-time latency to access the small to medium size datasets (multi-TBs). Additionally, torn write prevention feature support up to 16KB block sizes, enabling customers to eliminate database performance bottlenecks. I7i instances also support real-time, high-resolution performance statistics for the NVMe instance store volumes attached to them. To learn more, visit the detailed NVMe performance statistics page. I7i instances are available in eleven sizes – nine virtual sizes up to 48xlarge and two bare metal sizes – delivering up to 100Gbps of network bandwidth and 60Gbps of Amazon Elastic Block Store (EBS) bandwidth. To learn more, visit the I7i instances page.
Amazon Keyspaces (for Apache Cassandra) now supports Logged Batches, enabling you to perform multiple write operations as a single atomic transaction. With Logged Batches, you can ensure that either all operations (INSERT, UPDATE, DELETE) within a batch succeed or none of them do, maintaining data consistency across multiple rows and tables within a keyspace. This capability is particularly valuable for applications that require strong data consistency, such as financial systems, inventory management, and user profile updates that span multiple data entities.
Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra–compatible database service. Amazon Keyspaces is serverless, so you pay for only the resources that you use and you can build applications that serve thousands of requests per second with virtually unlimited throughput and storage.
Logged Batches in Amazon Keyspaces provide the same atomicity guarantees as Apache Cassandra while eliminating the operational complexity of managing transaction logs across distributed clusters. It’s designed to scale automatically with your workload and maintain consistent performance regardless of transaction volume. The feature integrates seamlessly with existing Cassandra Query Language (CQL) statements, allowing for adoption in both new and existing applications.
Logged Batches are available today in all AWS Commercial and AWS GovCloud (US) Regions where Amazon Keyspaces is available. You pay only for the standard write operations processed within each batch. To learn more about Logged Batches, please visit our blog post or refer to our Amazon Keyspaces documentation.
Amazon Keyspaces (for Apache Cassandra) now supports Logged Batches, enabling you to perform multiple write operations as a single atomic transaction. With Logged Batches, you can ensure that either all operations (INSERT, UPDATE, DELETE) within a batch succeed or none of them do, maintaining data consistency across multiple rows and tables within a keyspace. This capability is particularly valuable for applications that require strong data consistency, such as financial systems, inventory management, and user profile updates that span multiple data entities. Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra–compatible database service. Amazon Keyspaces is serverless, so you pay for only the resources that you use and you can build applications that serve thousands of requests per second with virtually unlimited throughput and storage. Logged Batches in Amazon Keyspaces provide the same atomicity guarantees as Apache Cassandra while eliminating the operational complexity of managing transaction logs across distributed clusters. It’s designed to scale automatically with your workload and maintain consistent performance regardless of transaction volume. The feature integrates seamlessly with existing Cassandra Query Language (CQL) statements, allowing for adoption in both new and existing applications. Logged Batches are available today in all AWS Commercial and AWS GovCloud (US) Regions where Amazon Keyspaces is available. You pay only for the standard write operations processed within each batch. To learn more about Logged Batches, please visit our blog post or refer to our Amazon Keyspaces documentation.
Starting today, Amazon EC2 High Memory U7i instances with 6TB of memory (u7i-6tb.112xlarge) are now available in the Europe (Stockholm and Ireland) region. U7i-6tb instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-6tb instances offer 6TB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment.
U7i-6tb instances offer 448 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.
Starting today, Amazon EC2 High Memory U7i instances with 6TB of memory (u7i-6tb.112xlarge) are now available in the Europe (Stockholm and Ireland) region. U7i-6tb instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-6tb instances offer 6TB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment. U7i-6tb instances offer 448 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.
Cerrar la brecha de la IA: cómo las Empresas Frontera transforman los negocios
Por: Alysa Taylor, directora de marketing, nube comercial e inteligencia artificial.
En todas las industrias, los líderes se preguntan: ¿Cómo se puede utilizar la IA para transformar de manera fundamental nuestro negocio? A la vanguardia están las Empresas Frontera, que potencian la ambición humana y encuentran la diferenciación de la IA en todo para maximizar su potencial e impacto en la sociedad. Estas empresas redefinen lo que es posible y marcan el ritmo para el futuro.
Para comprender mejor esta transformación, Microsoft encargó un estudio global con International Data Corporation (IDC) a más de 4.000 líderes empresariales responsables de las decisiones de IA. Los hallazgos revelan que el 68% de estas empresas utilizan IA en la actualidad, pero la verdadera diferencia radica en cómo la usan. Las Empresas Frontera, las que lideran la transformación de la IA, informan que han logrado rendimientos tres veces mayores que los de adopción lenta.
Lo que distingue a las Empresas Frontera
Su éxito va más allá de la eficiencia y la productividad a escala, impulsan el crecimiento, la expansión y el liderazgo de la industria en una nueva economía impulsada por IA. Con base en el estudio de IDC, Microsoft ha identificado cinco lecciones clave aprendidas al convertirse en una Empresa Frontera y cómo las organizaciones pueden transformar su negocio con IA.
#1 EXPANDIR EL IMPACTO DE LA IA EN TODAS LAS FUNCIONES COMERCIALES
En promedio, las Empresas Frontera utilizan IA en siete funciones comerciales. Más del 70% utiliza la IA en el servicio al cliente, el marketing, la TI, el desarrollo de productos y la ciberseguridad. Estas funciones se benefician de la capacidad de la IA para automatizar flujos de trabajo, generar contenido y detectar anomalías en tiempo real. Esta amplia adopción se traduce en un impacto comercial medible: las Empresas Frontera reportan mejores resultados a una tasa que es 4 veces mayor que las de adopción lenta en la diferenciación de la marca (87%), la eficiencia de costos (86%), el crecimiento de primera línea (88%) y la experiencia del cliente (85%).
BlackRock transforma su ciclo de vida de inversión con Microsoft AI integrado en su plataforma Aladdin. Integradas en 20 aplicaciones y utilizadas por decenas de miles de usuarios, las herramientas de IA ayudan a los gerentes de relaciones con los clientes a ahorrar horas por cliente al generar resúmenes personalizados y análisis de oportunidades, mientras que los gerentes de cartera acceden a análisis en tiempo real y resúmenes de investigación a través de Aladdin Copilot. El resultado es información más rápida, calidad de datos mejorada y gestión de riesgos mejorada; lo que ayuda a BlackRock y a sus clientes a obtener una ventaja al tiempo que mejoran el servicio al cliente, el cumplimiento y la gestión de carteras.
#2: DESBLOQUEAR DEL VALOR ESPECÍFICO DE LA INDUSTRIA
Si bien muchas organizaciones comienzan su recorrido de IA con ganancias de productividad personal, como la automatización de tareas y la mejora de la eficiencia, las Empresas Frontera se mueven más allá, con la implementación de IA para aplicaciones estratégicas específicas de la industria. Según el estudio, el 67% monetiza casos de uso de IA específicos de la industria para aumentar los ingresos.
Las industrias a la vanguardia de esta transformación incluyen servicios financieros, atención médica y fabricación. Cada uno ha comenzado a encontrar formas poderosas y prácticas de aplicar la IA a sus desafíos más complejos. En los servicios financieros, las organizaciones fortalecen la detección de fraudes, aceleran la conciliación de transacciones y elevan la atención al cliente. En el cuidado de la salud, ayuda a los médicos a generar documentación precisa, ayuda en el diagnóstico y brinda una atención más personalizada. En la fabricación, la IA impulsa el mantenimiento predictivo, lo que permite optimizar los programas de producción y automatizar las inspecciones de calidad.
Mercedes-Benz escala la IA en toda su red de producción global para avanzar en la innovación automotriz, estabilizar la volatilidad de la cadena de suministro, simplificar la complejidad de la producción y satisfacer las demandas de sostenibilidad. Su plataforma de datos MO360 conecta más de 30 plantas de automóviles en todo el mundo a Microsoft Cloud para el acceso a datos en tiempo real, la optimización global y el análisis. El ecosistema de chatbot de Digital Factory utiliza un sistema multiagente para capacitar a los empleados con información colaborativa. Paint Shop AI aprovecha las simulaciones de aprendizaje automático para diagnosticar disminuciones de eficiencia y reducir el consumo de energía de los edificios y las máquinas, incluido un ahorro de energía del 20% en el taller de pintura de Rastatt, y NVIDIA Omniverse en Azure impulsa los gemelos digitales para una planificación ágil y una mejora continua.
#3: CREAR SOLUCIONES DE IA PERSONALIZADAS PARA OBTENER UNA VENTAJA COMPETITIVA
Hoy en día, el 58% de las Empresas Frontera utilizan soluciones de IA personalizadas. Las soluciones de IA personalizadas permiten a las empresas integrar conocimientos, tono y cumplimiento patentados en cada interacción. Se pueden ajustar con datos patentados o conocimientos específicos de la industria, lo que permite una mayor precisión en las predicciones o la generación de contenido y una mejor alineación con los objetivos comerciales y las necesidades de cumplimiento.
En los próximos 24 meses, el 77% de las Empresas Frontera planean utilizar soluciones de IA personalizadas. Esto refleja una tendencia creciente de que los líderes de IA incorporan integraciones estratégicas más profundas de IA en todo su negocio.
A medida que los clientes buscan usar más la IA para comprar y buscar productos, la empresa de estilo de vida de lujo Ralph Lauren desarrolló una solución personal, sin fricciones, inspiradora y accesible para combinar la moda con la IA de vanguardia. En su trabajo con Microsoft, Ralph Lauren desarrolló Ask Ralph: una herramienta conversacional impulsada por IA que brinda consejos de estilo y recomendaciones de atuendos de toda la marca Polo Ralph Lauren. Con tecnología de Azure OpenAI, la herramienta de inteligencia artificial usa un motor de búsqueda de lenguaje natural para adaptarse de manera dinámica a entradas de idioma específicas e interpretar la intención del usuario para mejorar la precisión. Admite consultas complejas con necesidades de información exploratorias o matizadas con comprensión contextual; y puede discernir el tono, la satisfacción y la intención de refinar las recomendaciones. La herramienta también capta señales como información basada en la ubicación o necesidades basadas en eventos. Con Ask Ralph, los clientes ahora pueden reimaginar cómo compran en línea al poner la versión única e icónica del estilo de la marca en sus propias manos.
#4: INTELIGENCIA ARTIFICIAL AGÉNTICA: EL NUEVO DIFERENCIADOR PARA LOS LÍDERES EMPRESARIALES
La IA agéntica, sistemas que pueden razonar, planificar y actuar con guía humana, se ha comenzado a convertir con rapidez en la próxima capacidad definitoria de las Empresas Frontera. En los próximos dos años, IDC estima que el número de empresas que utilizan IA agencial se triplicará.
Los líderes de hoy enfrentan un desafío familiar: los equipos operan a plena capacidad, pero la demanda de innovación e impacto continúa creciendo. Ahí es donde entran en juego los agentes de IA. En finanzas, pueden obtener información en tiempo real, proporcionar orientación política, revisar documentos de acuerdos y ayudar a buscar proveedores. En ventas, los agentes se han comenzado a convertir en compañeros de equipo siempre activos: crean canalizaciones, unifican información en sistemas CRM, reuniones, correos electrónicos y la web y ayudan a los vendedores a calificar clientes potenciales y redactar un alcance personalizado. En el servicio al cliente, los agentes de IA pueden administrar casos, mantener la precisión del conocimiento e interpretar la intención del cliente.
Dow utiliza agentes para automatizar el proceso de análisis de facturas de envío y optimizar su cadena de suministro global para desbloquear nuevas eficiencias y valor. Al recibir más de 100,000 facturas de envío en PDF cada año, Dow creó un agente autónomo en Copilot Studio para buscar inexactitudes en la facturación y mostrarlas en un panel para que los empleados las revisen. Con Freight Agent, un segundo agente integrado en Copilot Studio, los empleados pueden investigar más a fondo a través de «dialogar con los datos» en lenguaje natural. Los agentes ayudan a los empleados a resolver el desafío de las pérdidas ocultas de forma autónoma en cuestión de minutos en lugar de semanas o meses. Dow espera ahorrar millones de dólares en costos de envío a través de una mayor precisión en las tarifas logísticas y la facturación durante el primer año.
#5: LOS PRESUPUESTOS DE IA CRECEN Y TAMBIÉN LO HACE EL EQUIPO DETRÁS DE ELLOS
El 71% de los encuestados planea aumentar sus presupuestos de IA, con fondos provenientes de fuentes de TI y no TI. Estas inversiones ya no se limitan al departamento de TI o a la oficina del Director Digital.
Para desbloquear en verdad el potencial transformador de la IA, se requiere que todos colaboren en todas las funciones para impulsar la innovación, la adopción y el impacto: el 34% de los encuestados agrega nuevas inversiones netas, el 24% reutiliza los presupuestos de TI existentes y el 13% reasigna fondos de áreas no relacionadas con TI, como operaciones, recursos humanos o marketing. Esta estrategia de financiación diversificada indica que la IA ya no se ve como una tecnología de nicho, sino que se convierte en un facilitador central de la transformación de toda la empresa.
«IDC proyecta que el impacto económico global de la IA alcanzará los 22,3 billones de dólares para 2030 (3,7% del PIB mundial en 2030), y estima que el retorno de las inversiones en IA requiere tanto sólidas capacidades de medición como un caso de negocio sólido, uno que modele tanto las implicaciones de costos como el potencial para la creación de valor responsable», dijo David Schubmehl. Vicepresidente de IA y Automatización de IDC.
El imperativo de la IA: actuar ahora para liderar el futuro
La oportunidad de exigir más de la IA es ahora. Entre las organizaciones encuestadas, el 22% son Empresas Frontera, que obtienen un impacto medible y se mueven con velocidad, mientras que el 39% corre el riesgo de quedarse atrás. Muchos navegan por desafíos relacionados con la seguridad, la privacidad, la gobernanza y el costo, así como con consideraciones éticas, complejidad de integración y escalabilidad desde el piloto hasta la producción.
El mensaje es claro: aquellos que adoptan la IA se benefician del impulso en eficiencia, experiencia del cliente e innovación. Para mantenerse competitivos, los líderes deben actuar ahora y adoptar la IA no como un experimento sino como un imperativo estratégico para el crecimiento.
Cerrar la brecha: Comiencen su transformación hoy
El éxito comienza con la inversión, la gobernanza y la preparación organizacional. Es fundamental contar con una infraestructura sólida que sea segura, confiable y escalable para respaldar las iniciativas de IA. El surgimiento de las Empresas Frontera muestra que la implementación personalizada de IA y la supervisión responsable pueden impulsar el ROI y la innovación.
Alysa Taylor es la directora de marketing de Commercial Cloud e IA en Microsoft, lidera equipos que habilitan la transformación digital y de IA para organizaciones de todos los tamaños en todo el mundo. Está a la vanguardia de ayudar a las organizaciones de todo el mundo a aprovechar la innovación digital y de IA para transformar la forma en que operan y crecen.
NOTA
IDC InfoBrief: patrocinado por Microsoft, Lo que toda empresa puede aprender de las Empresas Frontera que lideran la revolución de la IA, IDC # US53838325, noviembre de 2025.
AWS Backup now supports Amazon Elastic Kubernetes Service (EKS), providing a fully-managed, centralized solution for backing up EKS cluster state and persistent application data. You can now use AWS Backup to help protect your entire EKS environments through a centralized, policy-driven backup service.
You now get comprehensive data protection capabilities through AWS Backup across your Amazon EKS Clusters, including automated scheduling, retention management, immutable vaults, cross-Region and cross-account copies. AWS Backup delivers a new an agent-free solution that works natively with AWS, replacing custom scripts or third-party tools to perform backups for each cluster. You can restore entire EKS clusters, specific namespaces, or individual persistent volumes. Use AWS Backup to protect your clusters for disaster recovery, to help meet your compliance requirements, or for additional protection before EKS cluster upgrades.
AWS Backup for EKS is available in all AWS Regions where both AWS Backup and Amazon EKS are available. For the most up-to-date information on Regional availability, please refer to the AWS Backup Regional availability.
AWS Backup now supports Amazon Elastic Kubernetes Service (EKS), providing a fully-managed, centralized solution for backing up EKS cluster state and persistent application data. You can now use AWS Backup to help protect your entire EKS environments through a centralized, policy-driven backup service. You now get comprehensive data protection capabilities through AWS Backup across your Amazon EKS Clusters, including automated scheduling, retention management, immutable vaults, cross-Region and cross-account copies. AWS Backup delivers a new an agent-free solution that works natively with AWS, replacing custom scripts or third-party tools to perform backups for each cluster. You can restore entire EKS clusters, specific namespaces, or individual persistent volumes. Use AWS Backup to protect your clusters for disaster recovery, to help meet your compliance requirements, or for additional protection before EKS cluster upgrades. AWS Backup for EKS is available in all AWS Regions where both AWS Backup and Amazon EKS are available. For the most up-to-date information on Regional availability, please refer to the AWS Backup Regional availability. To get started with AWS Backup for Amazon EKS, visit the AWS Backup console, refer to the AWS Backup documentation, or read the AWS News Blog.
Effective today, all new Amazon MSK Provisioned clusters with Express brokers will support Intelligent Rebalancing at no additional cost. This new capability makes it effortless for customers to execute automatic partition balancing operations when scaling their Kafka clusters up or down. Intelligent Rebalancing maximizes the capacity utilization of MSK Express-based clusters by optimally rebalancing Kafka resources on them for better performance, eliminating the need for customers to manage partitions themselves or via third-party tools. Intelligent Rebalancing performs these operations up to 180 times faster compared to Standard brokers.
MSK Express brokers are designed to deliver up to three times more throughput per-broker, scale up to 20 times faster, and reduce recovery time by 90 percent as compared to Standard brokers running Apache Kafka. With Intelligent Rebalancing, MSK Express-based clusters are continuously monitored for resource imbalance or overload based on intelligent Amazon MSK defaults to maximize cluster performance. When required, brokers are efficiently scaled, without affecting cluster availability for clients to produce and consume data. Customers can now take full advantage of the scaling and performance benefits of MSK Provisioned clusters for Express brokers while simplifying cluster management operations.
Intelligent Rebalancing is being rolled out for all new MSK Provisioned clusters with Express brokers in all AWS Regions, where Express brokers are available. Intelligent Rebalancing does not require any additional configuration or setup to get started. To learn more, see the Amazon MSK Developer Guide.
Effective today, all new Amazon MSK Provisioned clusters with Express brokers will support Intelligent Rebalancing at no additional cost. This new capability makes it effortless for customers to execute automatic partition balancing operations when scaling their Kafka clusters up or down. Intelligent Rebalancing maximizes the capacity utilization of MSK Express-based clusters by optimally rebalancing Kafka resources on them for better performance, eliminating the need for customers to manage partitions themselves or via third-party tools. Intelligent Rebalancing performs these operations up to 180 times faster compared to Standard brokers. MSK Express brokers are designed to deliver up to three times more throughput per-broker, scale up to 20 times faster, and reduce recovery time by 90 percent as compared to Standard brokers running Apache Kafka. With Intelligent Rebalancing, MSK Express-based clusters are continuously monitored for resource imbalance or overload based on intelligent Amazon MSK defaults to maximize cluster performance. When required, brokers are efficiently scaled, without affecting cluster availability for clients to produce and consume data. Customers can now take full advantage of the scaling and performance benefits of MSK Provisioned clusters for Express brokers while simplifying cluster management operations. Intelligent Rebalancing is being rolled out for all new MSK Provisioned clusters with Express brokers in all AWS Regions, where Express brokers are available. Intelligent Rebalancing does not require any additional configuration or setup to get started. To learn more, see the Amazon MSK Developer Guide.
