Amazon EMR Serverless is now generally available in six additional AWS Regions – Asia Pacific (Hyderabad), Asia Pacific (Malaysia), Asia Pacific (New Zealand), Asia Pacific (Taipei), Asia Pacific (Thailand), and Mexico (Central).
Amazon EMR Serverless is a deployment option in Amazon EMR that makes it simple and cost effective for data engineers and analysts to run petabyte-scale data analytics in the cloud. With EMR Serverless, you can run your Apache Spark and Apache Hive applications without having to configure, optimize, tune, or manage clusters. EMR Serverless offers fine-grained automatic scaling, fast launch times, customizable worker configurations, and support for batch, interactive and streaming workloads.
Amazon EMR Serverless is now generally available in six additional AWS Regions – Asia Pacific (Hyderabad), Asia Pacific (Malaysia), Asia Pacific (New Zealand), Asia Pacific (Taipei), Asia Pacific (Thailand), and Mexico (Central). Amazon EMR Serverless is a deployment option in Amazon EMR that makes it simple and cost effective for data engineers and analysts to run petabyte-scale data analytics in the cloud. With EMR Serverless, you can run your Apache Spark and Apache Hive applications without having to configure, optimize, tune, or manage clusters. EMR Serverless offers fine-grained automatic scaling, fast launch times, customizable worker configurations, and support for batch, interactive and streaming workloads. To get started, visit the Amazon EMR Serverless User Guide. For pricing info, visit the EMR Serverless pricing page.
Amazon Connect Cases now supports editing and deleting related items, and deleting cases directly from the agent workspace without administrator help. Agents can update comments, unlink contacts associated with the wrong case, or delete cases opened in error. Agents can also create, edit, and delete custom related items such as orders, returns, and invoices to capture additional case context.
Amazon Connect Cases is available in the following AWS regions: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Africa (Cape Town). To learn more and get started, visit the Amazon Connect Cases webpage and documentation.
Amazon Connect Cases now supports editing and deleting related items, and deleting cases directly from the agent workspace without administrator help. Agents can update comments, unlink contacts associated with the wrong case, or delete cases opened in error. Agents can also create, edit, and delete custom related items such as orders, returns, and invoices to capture additional case context. Amazon Connect Cases is available in the following AWS regions: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Africa (Cape Town). To learn more and get started, visit the Amazon Connect Cases webpage and documentation.
AWS Organizations now supports higher quotas for service control policies (SCPs). The maximum number of SCPs that can be attached to a single node (root, OU, or account) has increased from 5 to 10, and the maximum SCP size has increased from 5,120 to 10,240 characters.
With these higher quotas, you can write SCPs with finer-grained permissions and conditions, and attach more SCPs per node to build more comprehensive security controls across your organization.
These higher quotas are available in all commercial AWS Regions, the AWS GovCloud (US) Regions, and the China Regions, and are available automatically to all organizations with no action required. To learn more, see quotas for AWS Organizations in the AWS Organizations User Guide.
AWS Organizations now supports higher quotas for service control policies (SCPs). The maximum number of SCPs that can be attached to a single node (root, OU, or account) has increased from 5 to 10, and the maximum SCP size has increased from 5,120 to 10,240 characters.
With these higher quotas, you can write SCPs with finer-grained permissions and conditions, and attach more SCPs per node to build more comprehensive security controls across your organization.
These higher quotas are available in all commercial AWS Regions, the AWS GovCloud (US) Regions, and the China Regions, and are available automatically to all organizations with no action required. To learn more, see quotas for AWS Organizations in the AWS Organizations User Guide.
¿Cuáles son las habilidades humanas esenciales para el éxito de la IA? Enfóquense en las 5C
En un extracto de su nuevo libro, los principales líderes de LinkedIn trazan cómo el futuro de la IA se desarrolla a través de la capacidad humana, no del código.
De manera tradicional, si se necesitaba aprender una nueva tecnología en el trabajo, el proceso era sencillo. Toman cursos, registran horas con las herramientas y, con el tiempo, su experiencia se vuelve más especializada y valiosa. Para entender la IA, se esperaría seguir un camino similar. Pero nada en la IA es tradicional. Y para un cambio de paradigma que se siente algorítmico, la eficacia con la que usan los agentes depende de las cosas que nos hacen más humanos.
Esa es la base de Open to Work: How to Get Ahead in the Age of AI, un nuevo libro de Ryan Roslansky, CEO de LinkedIn y vicepresidente ejecutivo de Microsoft, y de Aneesh Raman, director de oportunidades económicas de la compañía. (Ya está disponible y pueden comprarlo aquí.) Open to Work ofrece anécdotas, perspectivas y orientaciones prácticas para trabajadores de todo tipo—desde empleados de nivel inicial hasta líderes ejecutivos—para comprender el cambio radical que se produce en el trabajo. A lo largo de la obra, Roslansky y Raman enfatizan la importancia de la ventaja humana. En este extracto, presentan las 5Cs, o cinco capacidades innatas que nos dan una ventaja para trabajar con IA.
Las capacidades únicas que tenemos como humanos son lo que nos hace insustituibles. Para comprender e identificar mejor estas capacidades, hablamos con neurocientíficos, psicólogos organizacionales, economistas del comportamiento y líderes de talento, una amplia gama de expertos que piensan en la capacidad humana y trabajan cada día.
Nos centramos en cinco capacidades, centrándonos en los insumos centrales que cada uno puede desarrollar de manera individual y que, en muchos sentidos, permiten todo lo demás. Las llamamos las 5C. Las 5C nos hacen mejores compañeros y pensadores más agudos. Juntas, son el motor de la innovación humana.
Curiosidad
La IA puede procesar patrones. Solo los humanos se preguntan: ¿Y si probáramos algo que es diferente por completo?
En un momento en que la IA transforma todos los aspectos de nuestro trabajo, la curiosidad es nuestra ventaja más importante como humanos. Ahora mismo, podemos aprovechar esa curiosidad y la apertura que conlleva para aprender sobre la IA y cómo va a transformar nuestro trabajo, para entendernos a nosotros mismos y descubrir qué nos hace insustituibles y, lo más importante, para alinear nuestras carreras con nuestras curiosidades. Las preguntas que les fascinan, aquellas que los mantienen despiertos por las noches o les hacen perder la noción del tiempo, serán fundamentales para encontrar su ventaja competitiva en la era de la IA.
La curiosidad no es solo recopilar información. Es preguntarse por qué las cosas son como son y qué pasa cuando rompes esas suposiciones. Todo avance en la historia humana comenzó cuando alguien hacía una pregunta que nadie había hecho antes. La vacuna contra la polio no surgió al analizar tratamientos existentes, que es lo que haría la IA. Se inventó porque Jonas Salk y sus colegas se preguntaban si los virus muertos podían enseñar al cuerpo a combatir los vivos. Podría haberse equivocado. Aun así, se tomó el tiempo para probar su idea.
El electricista que se pregunta por qué un circuito salta y lo sigue más allá de las respuestas obvias para encontrar un problema oculto que podría haber causado un incendio. El contable que cuestiona por qué ciertos gastos aumentan cada tercer trimestre y descubre una ineficiencia, para ahorrar millones. La rutina de repente se convierte en descubrimiento.
Coraje
La IA puede calcular el riesgo. Solo los humanos deciden qué riesgo merece la pena asumir.
El coraje es la disposición a actuar sin información completa y a avanzar cuando el resultado no está garantizado. Es elegir ser el caso de prueba cuando todos los demás esperan pruebas. Hace miles de años, los viajeros polinesios trepaban a árboles huecos y navegaban a través del Pacífico, navegaban solo con las estrellas y su profundo conocimiento del mar. Descubrieron nuevas islas, las habitaron y establecieron culturas que aún prosperan hoy en día. Siglos después, la tripulación del Apollo 13 llevó ese mismo espíritu al espacio. Atarte a un cohete y apuntar a la luna, con el conocimiento de que había muchas posibilidades de que no regresaras, fue un acto de profundo coraje. Aun así fueron, en la búsqueda de una mejor comprensión del universo para la humanidad.
En el trabajo, el coraje convierte la vacilación en acción. El desarrollador que propone cambiar a un nuevo marco de trabajo a mitad de proyecto porque servirá mejor a los clientes a largo plazo. El responsable de ventas que le dice a un cliente importante que su petición no es lo que necesita, y luego le ayuda a encontrar la solución adecuada. El diseñador que defiende un cambio de imagen completo cuando todos los demás están cómodos con el statu quo. No son personas que sean difíciles. Son personas que eligen el progreso antes que la comodidad. Y no hay ningún algoritmo para hacer lo correcto cuando es difícil.
Creatividad
La IA puede remezclar lo que existe. Solo los humanos reimaginan lo que es posible.
La creatividad no es solo expresión artística. Es la capacidad de generar algo en verdad nuevo, no solo a través de recombinar elementos existentes, sino de imaginar posibilidades que antes no existían.
La creatividad no se limita a roles «creativos». Steve Jobs no inventó el ordenador, el teléfono ni el reproductor de música. Se tomó el tiempo para imaginar cómo podrían convertirse en un solo dispositivo. Sara Blakely se cortó los pies de las medias y creó Spanx, para construir un negocio de mil millones de dólares al ver posibilidades donde otros habrían visto un fallo en el vestuario. Esas personas no solo resolvían problemas, sino que creaban nuevas formas de responder a situaciones que otros no veían.
Compasión
La IA puede simular la preocupación. Solo los humanos la sienten y lo expresan.
Somos una especie que se preocupa unos por otros. De hecho, la evidencia arqueológica de hace miles y miles de años muestra que las personas con discapacidades graves vivieron durante años, algo que habría sido imposible sin la atención comunitaria. La compasión es, en muchos sentidos, la base de la civilización. Cuando un médico sostiene la mano de un paciente moribundo, ese toque significa que ningún confort robótico puede igualar. La IA puede imitar la compasión, pero no puede preocuparse en verdad por otra criatura, porque mucho sobre cómo hace esto el cerebro humano es todavía desconocido. Dicho de manera más sencilla, no podemos programar la empatía porque no sabemos con exactitud cómo hacerlo. Sólo lo hacemos, como el responsable que nota que el rendimiento de un empleado baja y descubre que es porque cuida a un padre enfermo, y luego organiza horarios flexibles en silencio. La compasión es lo que nos hace humanos, no solo empleados.
Comunicación
La IA puede traducir el lenguaje. Solo los humanos pueden convertir el lenguaje en significado.
La comunicación es lo que nos une como humanos a través del tiempo y el espacio. Así es como el conocimiento respira y se difunde, desde antiguos escribas que conservaban la sabiduría en tablillas de arcilla hasta científicos que construyen sobre siglos de descubrimientos compartidos. Las palabras bien comunicadas tienen el poder de cambiar el mundo. «Tengo un sueño» movilizó un movimiento. «Todo lo que necesitas es amor» replanteó a una generación. «Eso es un pequeño paso para el hombre…» unieron al mundo en un solo momento de asombro.
En el trabajo, los CEOs destacados convierten a inversores escépticos en inversores a largo plazo convenciéndolos de un futuro para el negocio que aún no existe. Los representantes de ventas efectivos escuchan primero y luego presentan su propuesta basándose en los conocimientos obtenidos, para después adaptar las soluciones a las necesidades reales. No es de extrañar que la comunicación se haya clasificado a nivel mundial como la habilidad número 1 en demanda en LinkedIn en 2024.
El término «habilidades blandas», que a menudo se usa para describir las 5C que acabamos de explorar, proviene de una época en la que las habilidades técnicas se consideraban los principales motores del éxito. Eso fue entonces. Esto es ahora. A medida que la IA asume más trabajo rutinario y técnico, las habilidades que nos hacen humanos son cada vez más importantes. En los próximos años, creemos que estas llamadas habilidades «blandas» serán de las más difíciles y valiosas de desarrollar.
Es importante destacar que las 5C no son capacidades que se puedan aprender en un taller de fin de semana o en un módulo de formación online. Son piezas fundamentales de quienes somos y de cómo pensamos como seres humanos, y solo se desarrollan a través del tiempo, la conexión y el desafío. Los obligan a enfrentarse a problemas difíciles, explorar caminos inesperados y probar ideas novedosas en entornos reales.
Por eso la IA representa una oportunidad tan profunda. La IA puede procesar información a una velocidad vertiginosa, pero no puede experimentar el lento desarrollo de la curiosidad, en especial como un esfuerzo compartido con otros. Puede optimizar las soluciones existentes de manera eficiente, pero no puede sentir la frustración que provoca enfoques completamente nuevos. Puede simular una conversación, pero no puede crear conexiones auténticas donde surjan ideas revolucionarias porque una relación significativa ha echado raíces.
Una vez que dejemos de intentar competir con la IA en eficiencia, podemos aprovechar el momento para usar la IA y construir trabajo alrededor de lo que nos hace más humanos.
Amazon Relational Database Service (RDS) for PostgreSQL announces Amazon RDS Extended Support minor versions 11.22-rds.20260224, 12.22-rds.20260224, and 13.23-rds.20260224. We recommend that you upgrade to these versions to fix known security vulnerabilities and bugs in prior versions of PostgreSQL.
Amazon RDS Extended Support provides up to three additional years of critical security and bug fixes beyond a major version’s end of standard support date, giving you more time to upgrade to a new major version. Learn more about Extended Support in the Amazon RDS User Guide.
You can upgrade your databases during scheduled maintenance windows using automatic minor version upgrades. To simplify operations at scale, enable automatic minor version upgrades and use the AWS Organizations Upgrade Rollout Policy to orchestrate thousands of upgrades in phases, first to development environments before upgrading production systems. You can also use Amazon RDS Blue/Green deployments with physical replication to minimize downtime for minor version upgrades.
Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See Amazon RDS for PostgreSQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console or by using the AWS Command Line Interface (CLI).
Amazon Relational Database Service (RDS) for PostgreSQL announces Amazon RDS Extended Support minor versions 11.22-rds.20260224, 12.22-rds.20260224, and 13.23-rds.20260224. We recommend that you upgrade to these versions to fix known security vulnerabilities and bugs in prior versions of PostgreSQL. Amazon RDS Extended Support provides up to three additional years of critical security and bug fixes beyond a major version’s end of standard support date, giving you more time to upgrade to a new major version. Learn more about Extended Support in the Amazon RDS User Guide. You can upgrade your databases during scheduled maintenance windows using automatic minor version upgrades. To simplify operations at scale, enable automatic minor version upgrades and use the AWS Organizations Upgrade Rollout Policy to orchestrate thousands of upgrades in phases, first to development environments before upgrading production systems. You can also use Amazon RDS Blue/Green deployments with physical replication to minimize downtime for minor version upgrades. Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See Amazon RDS for PostgreSQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console or by using the AWS Command Line Interface (CLI).
Amazon Managed Grafana now supports in-place upgrade from Grafana version 10.4 to 12.4. You can upgrade with just a few clicks from the AWS Console or via AWS SDK or AWS CLI.
Upgrading to version 12.4 brings native Grafana Scenes-powered dashboards for faster rendering and queryless Drilldown apps for point-and-click exploration of Prometheus metrics, Loki logs, Tempo traces, and Pyroscope profiles. Amazon CloudWatch plugin enhancements simplify log analysis with PPL/SQL query support, broaden visibility through cross-account Metrics Insights, and surface issues proactively with log anomaly detection. The rebuilt table visualization delivers smoother performance with CSS cell styling and interactive Actions buttons, while trendline transformations and navigation bookmarks streamline data exploration.
In-place upgrade to Grafana 12.4 is supported in all AWS regions where Amazon Managed Grafana is generally available. For a complete list of new features, refer to Differences between Grafana versions in the Amazon Managed Grafana User Guide. For upgrade instructions, see Update your workspace version. To learn more about Amazon Managed Grafana features and its pricing, visit the product page and pricing page.
Amazon Managed Grafana now supports in-place upgrade from Grafana version 10.4 to 12.4. You can upgrade with just a few clicks from the AWS Console or via AWS SDK or AWS CLI.
Upgrading to version 12.4 brings native Grafana Scenes-powered dashboards for faster rendering and queryless Drilldown apps for point-and-click exploration of Prometheus metrics, Loki logs, Tempo traces, and Pyroscope profiles. Amazon CloudWatch plugin enhancements simplify log analysis with PPL/SQL query support, broaden visibility through cross-account Metrics Insights, and surface issues proactively with log anomaly detection. The rebuilt table visualization delivers smoother performance with CSS cell styling and interactive Actions buttons, while trendline transformations and navigation bookmarks streamline data exploration.
In-place upgrade to Grafana 12.4 is supported in all AWS regions where Amazon Managed Grafana is generally available. For a complete list of new features, refer to Differences between Grafana versions in the Amazon Managed Grafana User Guide. For upgrade instructions, see Update your workspace version. To learn more about Amazon Managed Grafana features and its pricing, visit the product page and pricing page.
Amazon CloudFront now supports Online Certificate Status Protocol (OCSP) revocation checking for viewer mTLS, enabling you to validate client certificate revocation status in real time during connection establishment. This enables customers using mutual TLS (mTLS) on CloudFront to verify that client certificates haven’t been revoked before accepting connections—a common requirement for regulated industries and zero-trust architectures.
Previously, customers implemented certificate revocation using CloudFront Functions and KeyValueStore, maintaining static revocation lists that were only as current as the last manual update. With OCSP, CloudFront queries the responder URL embedded in the client certificate at connection time, validating revocation status directly with the issuing Certificate Authority. CloudFront caches OCSP responses for up to 30 minutes to minimize latency impact on subsequent connections. The OCSP result is exposed in the connection function, enabling customers to implement custom logic—such as grace periods for certificate rotation, IP-based exceptions, or combining OCSP with their own revocation lists.
OCSP revocation checking for viewer mTLS is available at no additional cost. To learn more, refer to the documentation for CloudFront Mutual TLS (Viewer).
Amazon CloudFront now supports Online Certificate Status Protocol (OCSP) revocation checking for viewer mTLS, enabling you to validate client certificate revocation status in real time during connection establishment. This enables customers using mutual TLS (mTLS) on CloudFront to verify that client certificates haven’t been revoked before accepting connections—a common requirement for regulated industries and zero-trust architectures.
Previously, customers implemented certificate revocation using CloudFront Functions and KeyValueStore, maintaining static revocation lists that were only as current as the last manual update. With OCSP, CloudFront queries the responder URL embedded in the client certificate at connection time, validating revocation status directly with the issuing Certificate Authority. CloudFront caches OCSP responses for up to 30 minutes to minimize latency impact on subsequent connections. The OCSP result is exposed in the connection function, enabling customers to implement custom logic—such as grace periods for certificate rotation, IP-based exceptions, or combining OCSP with their own revocation lists.
OCSP revocation checking for viewer mTLS is available at no additional cost. To learn more, refer to the documentation for CloudFront Mutual TLS (Viewer).
Amazon CloudFront now supports passthrough mode for viewer mutual TLS (mTLS) authentication, enabling customers to forward client certificates to their origin for validation without requiring CloudFront to perform certificate verification. Passthrough mode allows customers with existing mTLS implementations at their origins to use CloudFront without requiring to implement their validation logic at the edge.
CloudFront viewer mTLS already supports required mode and optional mode, which offload client certificate authentication to CloudFront using trust stores. Passthrough mode is designed for customers to maintain their existing mTLS validation infrastructure at their origin without requiring any trust store configuration on CloudFront. In passthrough mode, CloudFront forwards every request to the origin along with the client’s full certificate chain. Caching is not performed, ensuring each request is authenticated end-to-end by your origin. Connection functions which allow you to inspect or transform connection-level data are still invoked, enabling you to process certificate data before it reaches the origin.
CloudFront Mutual TLS (viewer) in passthrough mode is available at no additional cost. To learn more, refer to the documentation for CloudFront Mutual TLS (Viewer).
Amazon CloudFront now supports passthrough mode for viewer mutual TLS (mTLS) authentication, enabling customers to forward client certificates to their origin for validation without requiring CloudFront to perform certificate verification. Passthrough mode allows customers with existing mTLS implementations at their origins to use CloudFront without requiring to implement their validation logic at the edge.
CloudFront viewer mTLS already supports required mode and optional mode, which offload client certificate authentication to CloudFront using trust stores. Passthrough mode is designed for customers to maintain their existing mTLS validation infrastructure at their origin without requiring any trust store configuration on CloudFront. In passthrough mode, CloudFront forwards every request to the origin along with the client’s full certificate chain. Caching is not performed, ensuring each request is authenticated end-to-end by your origin. Connection functions which allow you to inspect or transform connection-level data are still invoked, enabling you to process certificate data before it reaches the origin.
CloudFront Mutual TLS (viewer) in passthrough mode is available at no additional cost. To learn more, refer to the documentation for CloudFront Mutual TLS (Viewer).
Customers spend days to weeks optimizing prompts and evaluating responses when they want to migrate to a new model or just get better performance out of their current model. They struggle with changing their prompts quickly and then testing them to prevent regressions and improve on underperforming tasks. These situations call for the same tool – a prompt optimizer with built-in evaluations.
Today, Amazon Bedrock introduces Advanced Prompt Optimization, a new tool that allows customers to optimize their prompts for any model on Bedrock, while comparing their original prompts to their optimized prompts across up to 5 models simultaneously. Customers can use this if they are migrating to a new model or just want to get better performance on their current model. If they’re changing models, they can select their current model as a baseline and up to 4 other models. If they aren’t changing models, they just select their current model to see before and after optimization. The optimizer takes in prompt templates, example user inputs for the variable values, optional ground truth answers, and an evaluation metric or short natural language criteria to use as a guide. It’s even compatible with multimodal inputs such as jpg, png, or PDF. The prompt optimizer works in a feedback loop to steer the prompt and resulting model responses toward optimizing the evaluation metric, and outputs the original and final prompt templates with evaluation scores, cost estimates, and latency.
For region availability, see our documentation. For pricing, see the Bedrock pricing page. To get started, use the Bedrock APIs for Advanced Prompt Optimizer or visit the Bedrock Console.
Customers spend days to weeks optimizing prompts and evaluating responses when they want to migrate to a new model or just get better performance out of their current model. They struggle with changing their prompts quickly and then testing them to prevent regressions and improve on underperforming tasks. These situations call for the same tool – a prompt optimizer with built-in evaluations.
Today, Amazon Bedrock introduces Advanced Prompt Optimization, a new tool that allows customers to optimize their prompts for any model on Bedrock, while comparing their original prompts to their optimized prompts across up to 5 models simultaneously. Customers can use this if they are migrating to a new model or just want to get better performance on their current model. If they’re changing models, they can select their current model as a baseline and up to 4 other models. If they aren’t changing models, they just select their current model to see before and after optimization. The optimizer takes in prompt templates, example user inputs for the variable values, optional ground truth answers, and an evaluation metric or short natural language criteria to use as a guide. It’s even compatible with multimodal inputs such as jpg, png, or PDF. The prompt optimizer works in a feedback loop to steer the prompt and resulting model responses toward optimizing the evaluation metric, and outputs the original and final prompt templates with evaluation scores, cost estimates, and latency.
For region availability, see our documentation. For pricing, see the Bedrock pricing page. To get started, use the Bedrock APIs for Advanced Prompt Optimizer or visit the Bedrock Console.
Amazon Web Services announces general availability of Amazon EC2 M3 Ultra Mac instances, powered by the latest Mac Studio hardware. Amazon EC2 M3 Ultra Mac instances are the next-generation EC2 Mac instances, that enable Apple developers to migrate their most demanding build and test workloads onto AWS. These instances are ideal for building and testing applications for Apple platforms such as iOS, macOS, iPadOS, tvOS, watchOS, visionOS, and Safari.
M3 Ultra Mac instances are powered by the AWS Nitro System, providing up to 10 Gbps network bandwidth and 8 Gbps of Amazon Elastic Block Store (Amazon EBS) storage bandwidth. These instances are built on Apple M3 Ultra Mac Studio computers featuring a 28-core CPU, 60-core GPU, 32-core Neural Engine, and 256GB of unified memory. Compared to EC2 M4 Max Mac instances, M3 Ultra Mac instances provide 2x the unified memory, 1.75x the CPU cores, 1.5x the GPU cores, and 2x the Neural Engine cores, giving Apple developers the headroom to run significantly more Xcode simulators in parallel and accelerate on-device ML workflows to improve product time to market.
Amazon EC2 M3 Ultra Mac instances are available in US East (N. Virginia) and US West (Oregon). To learn more about Amazon EC2 M3 Ultra Mac instances, visit the Amazon EC2 Mac page.
Amazon Web Services announces general availability of Amazon EC2 M3 Ultra Mac instances, powered by the latest Mac Studio hardware. Amazon EC2 M3 Ultra Mac instances are the next-generation EC2 Mac instances, that enable Apple developers to migrate their most demanding build and test workloads onto AWS. These instances are ideal for building and testing applications for Apple platforms such as iOS, macOS, iPadOS, tvOS, watchOS, visionOS, and Safari. M3 Ultra Mac instances are powered by the AWS Nitro System, providing up to 10 Gbps network bandwidth and 8 Gbps of Amazon Elastic Block Store (Amazon EBS) storage bandwidth. These instances are built on Apple M3 Ultra Mac Studio computers featuring a 28-core CPU, 60-core GPU, 32-core Neural Engine, and 256GB of unified memory. Compared to EC2 M4 Max Mac instances, M3 Ultra Mac instances provide 2x the unified memory, 1.75x the CPU cores, 1.5x the GPU cores, and 2x the Neural Engine cores, giving Apple developers the headroom to run significantly more Xcode simulators in parallel and accelerate on-device ML workflows to improve product time to market.
Amazon EC2 M3 Ultra Mac instances are available in US East (N. Virginia) and US West (Oregon). To learn more about Amazon EC2 M3 Ultra Mac instances, visit the Amazon EC2 Mac page.
