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Nuestra nueva colaboración con Maryland acelerará la computación cuántica escalable

septiembre 17, 2025

Nuestra nueva colaboración con Maryland acelerará la computación cuántica escalable

Exterior de un edificio moderno con grandes ventanas de vidrio y áreas verdes a su alrededor. Los logotipos superpuestos incluyen la Oficina del Gobernador (Wes Moore), el Estado de Maryland, la Universidad de Maryland y Microsoft, lo que sugiere una iniciativa colaborativa entre el gobierno, el ámbito académico y el sector tecnológico.

Por: Dr. Charles Tahan, socio, Microsoft Quantum.

Cuando di testimonio ante el Comité de Ciencias de la Cámara de Representantes a principios de este año, hablé sobre cómo la tecnología cuántica tiene el potencial de remodelar la innovación, mejorar nuestra seguridad nacional e impulsar el crecimiento económico. A medida que nos acercamos a dar vida a esta tecnología, un liderazgo claro de los Estados Unidos es fundamental para garantizar que nuestra nación permanezca a la vanguardia de este campo transformador. La iniciativa «Capital of Quantum» (Capital de la Cuántica) del gobernador de Maryland, Wes Moore, hace justo esto.

Hoy, como parte de esa visión, Microsoft se enorgullece de anunciar la apertura de un nuevo centro de investigación cuántica en el Discovery District de la Universidad de Maryland. Este laboratorio es el resultado de una profunda colaboración entre Microsoft, la Corporación Empresarial de la Universidad de Maryland (UMEC, por sus siglas en inglés) y el Estado de Maryland. Microsoft traerá nuestras capacidades cuánticas avanzadas a este nuevo centro y, con ello, creará una poderosa oportunidad para unir el liderazgo estatal y federal en la región de la capital de DC.

Colaboración de Microsoft con Maryland

Maryland ha sido durante mucho tiempo un centro nacional para la investigación cuántica, hogar de los principales programas de física y agencias federales como el Instituto Nacional de Estándares y Tecnología (NIST, por sus siglas en inglés), la Agencia de Seguridad Nacional (NSA, por sus siglas en inglés) y el pionero Instituto Cuántico Conjunto, que ha generado más de una docena de otros institutos cuánticos en la Universidad de Maryland. El liderazgo del gobernador Moore en el lanzamiento de la iniciativa «Capital of Quantum» del estado ha permitido acelerar estos esfuerzos, para consolidar aún más a Maryland como epicentro para el desarrollo cuántico.

Estamos entusiasmados de ser ahora parte de la visión del gobernador Moore. El nuevo laboratorio de investigación cuántica de Microsoft en el Discovery District de Maryland será un espacio único y de vanguardia. Apoyará el desarrollo colaborativo de hardware y software mientras trabajamos junto con agencias gubernamentales, instituciones académicas y otras empresas cuánticas. También contará con uno de los primeros prototipos de la computadora cuántica topológica de Microsoft, lo que permitirá un fácil acceso a nuestra tecnología a la Agencia de Proyectos de Investigación Avanzada de Defensa (DARPA, por sus siglas en inglés) y su equipo de prueba y evaluación de clase mundial.

Al proporcionar espacios dedicados para el trabajo patentado de Microsoft, así como nuestros amplios compromisos entre industrias, el centro encarnará el espíritu central de Microsoft como empresa de plataforma. El laboratorio garantizará que trabajemos junto con socios en la industria, la academia y el gobierno para diseñar, construir e implementar computadoras cuánticas que darán forma al futuro. Es más que una inversión en infraestructura. Es un entorno compartido que elevará a los socios en todas las capas de la pila informática y también fomentará la investigación conjunta, la divulgación y los esfuerzos de construcción de ecosistemas.

Una plataforma, muchas tecnologías

En Microsoft, creemos en el poder de las plataformas, y la computación cuántica no es una excepción. La plataforma de computación cuántica de Microsoft está diseñada para detectar y corregir errores durante el cálculo en varios tipos de hardware cuántico para garantizar que proporcionamos a nuestros clientes y socios los equipos cuánticos más capaces disponibles. Esta arquitectura reúne computación de alto rendimiento e inteligencia artificial para la velocidad, así como tecnologías cuánticas para la precisión, y continuará con las mejoras a medida que el campo evolucione y surjan nuevas capacidades.

Al fomentar un entorno en el que coexisten múltiples tecnologías y enfoques, Microsoft construye una base para la innovación y la escala. Este enfoque nos permite responder con rapidez a los avances en todo el panorama cuántico, para optimizar de manera continua nuestras ofertas para usuarios finales y socios, y asegurar que el camino hacia la ventaja cuántica sea abierto e inclusivo.

Un año seminal

El año pasado ha sido histórico para la computación cuántica, marcado por las primeras demostraciones sustanciales de corrección de errores cuánticos. El equipo de corrección de errores cuánticos de Microsoft, en asociación con Atom Computing, validó algunas de las premisas clave de la corrección de errores cuánticos no solo para la memoria sino también para el cálculo lógico. Al adaptar la plataforma de computación cuántica de Microsoft a los qubits de átomos neutros de Atom Computing, diseñamos en conjunto las máquinas cuánticas más potentes del mundo. Demostramos con éxito que nuestra corrección de errores cuánticos funciona como se anticipó en sistemas de átomos neutros, y también se puede personalizar para mejorar otras tecnologías de qubits.  

Un hito en particular emocionante para Microsoft fue la demostración de la primera física que valida un diseño topológico de qubits, Majorana 1, un logro que puede allanar el camino para escalar computadoras cuánticas a cientos de miles de qubits. Demostramos el progreso en este camino y compartimos los resultados técnicos con DARPA, que seleccionó a Microsoft como una de las dos compañías para avanzar a la fase final de su riguroso programa de evaluación comparativa conocido como Underexplored Systems for Utility-Scale Quantum Computing (US2QC), uno de los programas que conforman la Iniciativa de Evaluación Comparativa Cuántica (QBI, por sus siglas en inglés) más grande de DARPA. Durante esta fase, Microsoft tiene la intención de construir un prototipo tolerante a errores basado en cúbits topológicos. 

Trabajar juntos para lograr avances en cuántica

El desarrollo de computadoras cuánticas escalables requerirá combinar fuerzas, no solo entre diferentes conjuntos de habilidades, sino también de varias misiones, espacios de problemas, enfoques de inversión y mecanismos de financiación. Requerirá nuevos tipos de asociaciones público-privadas entre los gobiernos estatales y federales, organizaciones de investigación sin fines de lucro, instituciones de educación superior y pequeñas y grandes empresas.

Estamos entusiasmados y agradecidos de colaborar con el estado de Maryland en este innovador centro de investigación cuántica. Esta asociación ejemplifica lo que es posible cuando los líderes estatales y federales, la academia y la industria se unen para acelerar el liderazgo de EE. UU. en ciencia e innovación. En Microsoft, estamos comprometidos a capacitar a nuestros socios para construir el futuro para que podamos tener éxito juntos.

The post Nuestra nueva colaboración con Maryland acelerará la computación cuántica escalable appeared first on Source LATAM.

 

​The post Nuestra nueva colaboración con Maryland acelerará la computación cuántica escalable appeared first on Source LATAM.  

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Amazon EC2 I7i instances now available in South America (São Paulo), Canada West (Calgary) regions

Amazon Web Services (AWS) announces the availability of high performance Storage Optimized Amazon EC2 I7i instances in the AWS South America (São Paulo), Canada West (Calgary) regions. Powered by 5th generation Intel Xeon Scalable processors with an all-core turbo frequency of 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 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 South America (São Paulo), Canada West (Calgary) regions. Powered by 5th generation Intel Xeon Scalable processors with an all-core turbo frequency of 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 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.  

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New fault action in AWS FIS to inject I/O latency on Amazon EBS volumes

Today, Amazon EBS announced a new latency injection action in AWS Fault Injection Service (FIS), a fully managed service for running fault injection experiments. You can now use this action to inject I/O latency on your volumes as part of a controlled testing experiment to understand how your mission-critical applications respond to storage faults. With the new fault action, you can test your architecture against elevated storage latency, allowing you to observe application behavior and fine-tune your monitoring and recovery processes to ensure high availability.

EBS volumes are designed to meet the needs of highly available, latency-sensitive applications such as Oracle, SAP HANA, and Microsoft SQL Server. The latency injection action simulates degraded I/O performance on your volume to replicate the real-world signals, such as Amazon CloudWatch alarms and operating system timeouts, that occur during storage performance issues. Using this action, you can build confidence that your application can withstand and quickly recover from disruptions that cause high I/O latency on your EBS volume. To get started, you can directly use the pre-defined latency injection experiment templates available in the EBS and FIS consoles. Alternatively, you can customize these experiment templates or create your own experiment templates to meet your application-specific testing needs. You can integrate these latency injection experiments into your existing chaos engineering tests, continuous integration, and release testing, as well as combine multiple FIS actions in one experiment.

This new action is available in all AWS Regions where AWS FIS is available. To learn more, visit the EBS FIS actions user guide.

 

​Today, Amazon EBS announced a new latency injection action in AWS Fault Injection Service (FIS), a fully managed service for running fault injection experiments. You can now use this action to inject I/O latency on your volumes as part of a controlled testing experiment to understand how your mission-critical applications respond to storage faults. With the new fault action, you can test your architecture against elevated storage latency, allowing you to observe application behavior and fine-tune your monitoring and recovery processes to ensure high availability. EBS volumes are designed to meet the needs of highly available, latency-sensitive applications such as Oracle, SAP HANA, and Microsoft SQL Server. The latency injection action simulates degraded I/O performance on your volume to replicate the real-world signals, such as Amazon CloudWatch alarms and operating system timeouts, that occur during storage performance issues. Using this action, you can build confidence that your application can withstand and quickly recover from disruptions that cause high I/O latency on your EBS volume. To get started, you can directly use the pre-defined latency injection experiment templates available in the EBS and FIS consoles. Alternatively, you can customize these experiment templates or create your own experiment templates to meet your application-specific testing needs. You can integrate these latency injection experiments into your existing chaos engineering tests, continuous integration, and release testing, as well as combine multiple FIS actions in one experiment. This new action is available in all AWS Regions where AWS FIS is available. To learn more, visit the EBS FIS actions user guide.  

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Amazon S3 now supports conditional deletes in S3 general purpose buckets

Amazon S3 now supports conditional deletes in S3 general purpose buckets, which verify that an object is unchanged before deleting it. This helps you to prevent accidental deletions in high-concurrency, multiple-writer scenarios.

You can now perform conditional deletes using the HTTP if-match header with an ETag value. Amazon S3 will only allow your delete request to succeed if the Etag provided matches that of the object. Additionally, you can use the s3:if-match condition key in your S3 bucket policies to enforce conditional delete operations. For example, you can require clients to use the HTTP if-match header in both S3 DeleteObject and S3 DeleteObjects API requests, helping you to minimize the risk of accidentally deleting objects in your bucket.

Conditional deletes are available in S3 general purpose buckets at no additional cost in all AWS Regions. You can use the Amazon S3 API, SDKs, and CLI to perform conditional deletes. To learn more, visit the S3 User guide.

 

​Amazon S3 now supports conditional deletes in S3 general purpose buckets, which verify that an object is unchanged before deleting it. This helps you to prevent accidental deletions in high-concurrency, multiple-writer scenarios. You can now perform conditional deletes using the HTTP if-match header with an ETag value. Amazon S3 will only allow your delete request to succeed if the Etag provided matches that of the object. Additionally, you can use the s3:if-match condition key in your S3 bucket policies to enforce conditional delete operations. For example, you can require clients to use the HTTP if-match header in both S3 DeleteObject and S3 DeleteObjects API requests, helping you to minimize the risk of accidentally deleting objects in your bucket. Conditional deletes are available in S3 general purpose buckets at no additional cost in all AWS Regions. You can use the Amazon S3 API, SDKs, and CLI to perform conditional deletes. To learn more, visit the S3 User guide.  

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Amazon AppStream 2.0 adds support for fractional GPU instances

Today, Amazon AppStream 2.0 announces support for Graphics G6 instances with fractionalized GPU sizes, which are built on the EC2 G6 family, designed to cater to graphics applications that need smaller GPU fractions.

Graphics G6 instances with fractionalized GPU sizes (G6f and Gr6f) allow users to utilize only the GPU resources they need, rather than provisioning full GPU instances. This approach helps enable better resource optimization through shared GPU capacity, offering flexibility to choose smaller GPU fractions (such as 1/2, 1/4, or 1/8) that align with specific workload requirements. Organizations can benefit from reduced costs by avoiding over-provisioning while maintaining access to GPU capabilities for applications that don’t require full GPU power.

These new instance types are available in 10 AWS Regions, including US East (N. Virginia, Ohio), US West (Oregon), Canada (Central), Europe (Frankfurt, London), Asia Pacific (Tokyo, Mumbai, Sydney), and South America (Sao Paulo). AppStream 2.0 offers pay-as-you-go pricing, see Amazon AppStream 2.0 Pricing for more information.

To get started, select an AppStream 2.0 Graphics G6 instances with fractionalized GPU sizes when launching an image builder or creating a new fleet. You can launch Graphics G6 instances with fractionalized GPU sizes using either the AWS management console or the AWS SDK. To learn more, see AppStream 2.0 Instance Families.

 

​Today, Amazon AppStream 2.0 announces support for Graphics G6 instances with fractionalized GPU sizes, which are built on the EC2 G6 family, designed to cater to graphics applications that need smaller GPU fractions. Graphics G6 instances with fractionalized GPU sizes (G6f and Gr6f) allow users to utilize only the GPU resources they need, rather than provisioning full GPU instances. This approach helps enable better resource optimization through shared GPU capacity, offering flexibility to choose smaller GPU fractions (such as 1/2, 1/4, or 1/8) that align with specific workload requirements. Organizations can benefit from reduced costs by avoiding over-provisioning while maintaining access to GPU capabilities for applications that don’t require full GPU power. These new instance types are available in 10 AWS Regions, including US East (N. Virginia, Ohio), US West (Oregon), Canada (Central), Europe (Frankfurt, London), Asia Pacific (Tokyo, Mumbai, Sydney), and South America (Sao Paulo). AppStream 2.0 offers pay-as-you-go pricing, see Amazon AppStream 2.0 Pricing for more information. To get started, select an AppStream 2.0 Graphics G6 instances with fractionalized GPU sizes when launching an image builder or creating a new fleet. You can launch Graphics G6 instances with fractionalized GPU sizes using either the AWS management console or the AWS SDK. To learn more, see AppStream 2.0 Instance Families.  

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Amazon EKS introduces a new catalog of community add-ons in the AWS GovCloud (US) Regions

Today, Amazon Elastic Kubernetes Service (EKS) announced a new catalog of community add-ons that includes metrics-server, kube-state-metrics, cert-manager, prometheus-node-exporter, fluent-bit, and external-dns. This enables you to easily find, select, configure, and manage popular open-source Kubernetes add-ons directly through EKS. Each add-on has been packaged, scanned, and validated for compatibility by EKS, with container images securely hosted in an EKS-owned private Amazon Elastic Container Registry (ECR) repository.

To make Kubernetes clusters production-ready, you need to integrate various operational tools and add-ons. These add-ons can come from various sources including AWS and open-source community repositories. Now, EKS makes it easy for you to access a broader selection of add-ons, providing a unified management experience for AWS and community add-ons. You can view available add-ons, compatible versions, configuration options, and install and manage them directly through the EKS Console, API, CLI, eksctl, or IaC tools like AWS CloudFormation.

This feature is available in all AWS GovCloud (US) Regions. To learn more visit the EKS documentation.

 

​Today, Amazon Elastic Kubernetes Service (EKS) announced a new catalog of community add-ons that includes metrics-server, kube-state-metrics, cert-manager, prometheus-node-exporter, fluent-bit, and external-dns. This enables you to easily find, select, configure, and manage popular open-source Kubernetes add-ons directly through EKS. Each add-on has been packaged, scanned, and validated for compatibility by EKS, with container images securely hosted in an EKS-owned private Amazon Elastic Container Registry (ECR) repository. To make Kubernetes clusters production-ready, you need to integrate various operational tools and add-ons. These add-ons can come from various sources including AWS and open-source community repositories. Now, EKS makes it easy for you to access a broader selection of add-ons, providing a unified management experience for AWS and community add-ons. You can view available add-ons, compatible versions, configuration options, and install and manage them directly through the EKS Console, API, CLI, eksctl, or IaC tools like AWS CloudFormation. This feature is available in all AWS GovCloud (US) Regions. To learn more visit the EKS documentation.  

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Amazon Aurora PostgreSQL Limitless Database is now available in the AWS GovCloud (US-East, US-West) Regions

Aurora PostgreSQL Limitless Database, now available in AWS GovCloud (US-East, US-West) Regions, makes it easy for you to scale your relational database workloads by providing a serverless endpoint that automatically distributes data and queries across multiple Amazon Aurora Serverless instances while maintaining the transactional consistency of a single database. Aurora PostgreSQL Limitless Database offers capabilities such as distributed query planning and transaction management, removing the need for you to create custom solutions or manage multiple databases to scale. As your workloads increase, Aurora PostgreSQL Limitless Database adds additional compute resources while staying within your specified budget, so there is no need to provision for peak, and compute automatically scales down when demand is low.

Aurora PostgreSQL Limitless Database is available with PostgreSQL 16.6, 16.8, and 16.9 compatibility in these regions.

For pricing details and Region availability, visit Amazon Aurora pricing. To learn more, read the Aurora PostgreSQL Limitless Database documentation and get started by creating an Aurora PostgreSQL Limitless Database in only a few steps in the Amazon RDS console.

 

​Aurora PostgreSQL Limitless Database, now available in AWS GovCloud (US-East, US-West) Regions, makes it easy for you to scale your relational database workloads by providing a serverless endpoint that automatically distributes data and queries across multiple Amazon Aurora Serverless instances while maintaining the transactional consistency of a single database. Aurora PostgreSQL Limitless Database offers capabilities such as distributed query planning and transaction management, removing the need for you to create custom solutions or manage multiple databases to scale. As your workloads increase, Aurora PostgreSQL Limitless Database adds additional compute resources while staying within your specified budget, so there is no need to provision for peak, and compute automatically scales down when demand is low. Aurora PostgreSQL Limitless Database is available with PostgreSQL 16.6, 16.8, and 16.9 compatibility in these regions. For pricing details and Region availability, visit Amazon Aurora pricing. To learn more, read the Aurora PostgreSQL Limitless Database documentation and get started by creating an Aurora PostgreSQL Limitless Database in only a few steps in the Amazon RDS console.  

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Amazon Lex provides generative AI based enhanced natural language understanding in eight new languages

Amazon Lex now allows you to leverage large language models (LLMs) to improve the natural language understanding of your deterministic conversational AI bots in eight new languages: Chinese, Japanese, Korean, Portuguese, Catalan, French, Italian, and German. With this capability, your voice- and chat-bots can better handle complex utterances, maintain accuracy despite spelling errors, and extract key information from verbose inputs to fulfill the customer’s request. For example, a customer could say ‘Hi I want to book a flight for my wife, my two kids and myself’, and the LLM will properly identify to book flight tickets for four people.

This feature is available in 10 commercial AWS Regions where Amazon Connect is available: Europe (Ireland), Europe (Frankfurt), US East (N. Virginia), Asia Pacific (Seoul), Europe (London), Asia Pacific (Tokyo), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Canada (Central). To learn more about this feature, visit Amazon Lex documentation or to learn how Amazon Connect and Amazon Lex deliver cloud-based conversational AI experiences for contact centers, please visit the Amazon Connect website.

 

​Amazon Lex now allows you to leverage large language models (LLMs) to improve the natural language understanding of your deterministic conversational AI bots in eight new languages: Chinese, Japanese, Korean, Portuguese, Catalan, French, Italian, and German. With this capability, your voice- and chat-bots can better handle complex utterances, maintain accuracy despite spelling errors, and extract key information from verbose inputs to fulfill the customer’s request. For example, a customer could say ‘Hi I want to book a flight for my wife, my two kids and myself’, and the LLM will properly identify to book flight tickets for four people.
This feature is available in 10 commercial AWS Regions where Amazon Connect is available: Europe (Ireland), Europe (Frankfurt), US East (N. Virginia), Asia Pacific (Seoul), Europe (London), Asia Pacific (Tokyo), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Canada (Central). To learn more about this feature, visit Amazon Lex documentation or to learn how Amazon Connect and Amazon Lex deliver cloud-based conversational AI experiences for contact centers, please visit the Amazon Connect website.  

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Amazon EC2 supports detailed performance stats on all NVMe local volumes

Today, Amazon announced the availability of detailed performance statistics for Amazon EC2 instance store NVMe volumes. This new capability delivers real-time visibility into the performance of your AWS Nitro System-based EC2 instance store NVMe volumes, making it easier to monitor storage health and quickly resolve application performance issues.

With EC2 detailed performance statistics, you can access 11 comprehensive metrics at one second granularity to monitor input/output (I/O) statistics of your locally attached NVMe volumes, including queue length measurements, IOPS, throughput, and detailed I/O latency histograms. These metrics are similar to the detailed performance statistics available for EBS volumes, providing a consistent monitoring experience across both storage types. The granular visibility provided by these metrics helps you identify specific workloads affected by performance variations, and optimize your application’s IO patterns for maximum efficiency. Additionally, the metrics include latency histograms broken down by IO size, providing even more detailed insights into performance patterns.

Detailed performance statistics for EC2 instance store NVMe volumes are available by default for all Nitro-based EC2 instances with locally attached NVMe volumes across all AWS Commercial and China Regions, at no additional charge.

To learn more about the EC2 instance store NVMe detailed performance statistics and how to access them, please visit the documentation here.

 

​Today, Amazon announced the availability of detailed performance statistics for Amazon EC2 instance store NVMe volumes. This new capability delivers real-time visibility into the performance of your AWS Nitro System-based EC2 instance store NVMe volumes, making it easier to monitor storage health and quickly resolve application performance issues.
With EC2 detailed performance statistics, you can access 11 comprehensive metrics at one second granularity to monitor input/output (I/O) statistics of your locally attached NVMe volumes, including queue length measurements, IOPS, throughput, and detailed I/O latency histograms. These metrics are similar to the detailed performance statistics available for EBS volumes, providing a consistent monitoring experience across both storage types. The granular visibility provided by these metrics helps you identify specific workloads affected by performance variations, and optimize your application’s IO patterns for maximum efficiency. Additionally, the metrics include latency histograms broken down by IO size, providing even more detailed insights into performance patterns. Detailed performance statistics for EC2 instance store NVMe volumes are available by default for all Nitro-based EC2 instances with locally attached NVMe volumes across all AWS Commercial and China Regions, at no additional charge.
To learn more about the EC2 instance store NVMe detailed performance statistics and how to access them, please visit the documentation here.  

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AWS Storage Gateway now supports IPv6

AWS Storage Gateway announces Internet Protocol version 6 (IPv6) support for AWS Storage Gateway endpoints, APIs, and gateway appliance interfaces. This enhancement enables both IPv6 and IPv4 access to our new dual-stack endpoints. The existing AWS Storage Gateway endpoints supporting IPv4 only will remain available for backwards compatibility.

AWS Storage Gateway provides on-premises access to data stored in AWS storage. With this launch, customers can standardize their applications and workflows for managing their AWS Storage Gateway resources on IPv6 while maintaining backward compatibility with IPv4 clients. By using the new dual-stack capabilities in the Storage Gateway appliances, service endpoints, and APIs, customers can transition from IPv4 to IPv6 gradually without needed to switch all their networking at once.

AWS Storage Gateway support for IPv6 is available in all AWS Regions where the service is offered. To learn more, visit the AWS Storage Gateway user guide.

 

​AWS Storage Gateway announces Internet Protocol version 6 (IPv6) support for AWS Storage Gateway endpoints, APIs, and gateway appliance interfaces. This enhancement enables both IPv6 and IPv4 access to our new dual-stack endpoints. The existing AWS Storage Gateway endpoints supporting IPv4 only will remain available for backwards compatibility. AWS Storage Gateway provides on-premises access to data stored in AWS storage. With this launch, customers can standardize their applications and workflows for managing their AWS Storage Gateway resources on IPv6 while maintaining backward compatibility with IPv4 clients. By using the new dual-stack capabilities in the Storage Gateway appliances, service endpoints, and APIs, customers can transition from IPv4 to IPv6 gradually without needed to switch all their networking at once. AWS Storage Gateway support for IPv6 is available in all AWS Regions where the service is offered. To learn more, visit the AWS Storage Gateway user guide.