AWS Payment Cryptography has expanded its global presence with availability in South America (São Paulo). This expansion enables customers with latency-sensitive payment applications to build, deploy or migrate into additional AWS Regions without depending on cross-region support.

AWS Payment Cryptography is a fully managed service that simplifies payment-specific cryptographic operations and key management for cloud-hosted payment applications. The service scales elastically with your business needs and is assessed as compliant with PCI PIN and PCI P2PE requirements, eliminating the need to maintain dedicated payment HSM instances. Organizations performing payment functions – including acquirers, payment facilitators, networks, switches, processors, and banks can now position their payment cryptographic operations closer to their applications while reducing dependencies on auxiliary data centers with dedicated payment HSMs.

AWS Payment Cryptography is available in the following AWS Regions: Canada (Montreal), US East (Ohio, N. Virginia), US West (Oregon), Europe (Ireland, Frankfurt, London, Paris), South America (São Paulo), Africa (Cape Town) and Asia Pacific (Singapore, Tokyo, Osaka, Mumbai, Hyderabad).

To start using the service, please download the latest AWS CLI/SDK and see the AWS Payment Cryptography user guide for more information.

​AWS Payment Cryptography has expanded its global presence with availability in South America (São Paulo). This expansion enables customers with latency-sensitive payment applications to build, deploy or migrate into additional AWS Regions without depending on cross-region support.
AWS Payment Cryptography is a fully managed service that simplifies payment-specific cryptographic operations and key management for cloud-hosted payment applications. The service scales elastically with your business needs and is assessed as compliant with PCI PIN and PCI P2PE requirements, eliminating the need to maintain dedicated payment HSM instances. Organizations performing payment functions – including acquirers, payment facilitators, networks, switches, processors, and banks can now position their payment cryptographic operations closer to their applications while reducing dependencies on auxiliary data centers with dedicated payment HSMs.
AWS Payment Cryptography is available in the following AWS Regions: Canada (Montreal), US East (Ohio, N. Virginia), US West (Oregon), Europe (Ireland, Frankfurt, London, Paris), South America (São Paulo), Africa (Cape Town) and Asia Pacific (Singapore, Tokyo, Osaka, Mumbai, Hyderabad).
To start using the service, please download the latest AWS CLI/SDK and see the AWS Payment Cryptography user guide for more information.  

Quick Sight in Amazon Quick now supports sheet tooltips, enabling authors to surface rich, contextual detail when viewers hover over data points — without disrupting their analysis flow. Sheet tooltips allow authors to create dedicated tooltip sheets containing visuals, text boxes, and images arranged in a free-form layout. When a viewer hovers over a data point, the tooltip sheet automatically inherits all filters from the source visual and applies an additional filter for the specific data point, delivering an instant, focused breakdown.

This enhancement helps organizations build more intuitive dashboards that reduce the need for multiple sheets or manual navigation. For example, a bar chart showing sales by product category can surface a trend line of monthly sales, a year-over-year growth KPI, and a text box with the category name — all filtered to whichever category the viewer hovers over. Authors can assign one tooltip sheet to multiple visuals, switch between basic, detailed, and sheet tooltip types at any time, and tables and pivot tables are also supported. Sheet tooltips are available on interactive sheets only.

This feature is now available in all Amazon Quick regions where Quick Sight is supported. Learn more about how to use sheet tooltips in Amazon Quick and read more about this new feature in our blog post.

​Quick Sight in Amazon Quick now supports sheet tooltips, enabling authors to surface rich, contextual detail when viewers hover over data points — without disrupting their analysis flow. Sheet tooltips allow authors to create dedicated tooltip sheets containing visuals, text boxes, and images arranged in a free-form layout. When a viewer hovers over a data point, the tooltip sheet automatically inherits all filters from the source visual and applies an additional filter for the specific data point, delivering an instant, focused breakdown.
This enhancement helps organizations build more intuitive dashboards that reduce the need for multiple sheets or manual navigation. For example, a bar chart showing sales by product category can surface a trend line of monthly sales, a year-over-year growth KPI, and a text box with the category name — all filtered to whichever category the viewer hovers over. Authors can assign one tooltip sheet to multiple visuals, switch between basic, detailed, and sheet tooltip types at any time, and tables and pivot tables are also supported. Sheet tooltips are available on interactive sheets only.
This feature is now available in all Amazon Quick regions where Quick Sight is supported. Learn more about how to use sheet tooltips in Amazon Quick and read more about this new feature in our blog post.  

AWS announces general availability (GA) of AWS Interconnect – multicloud, providing simple, resilient, high-speed private connections to other cloud service providers (CSPs). With GA comes Google Cloud as the first launch partner, with Microsoft Azure and Oracle Cloud Infrastructure (OCI) coming later in 2026.

Customers have been adopting multicloud strategies while migrating more applications to the cloud. They do so for many reasons including interoperability requirements, the freedom to choose technology that best suits their needs, and the ability to build and deploy applications on any environment with greater ease and speed. Previously, when interconnecting workloads across multiple cloud providers, customers had to go the route of a ‘do-it-yourself’ multicloud approach, leading to complexities of managing global multi-layered networks at scale. AWS Interconnect – multicloud is the first purpose-built product of its kind and a new way of how clouds connect and talk to each other. Simplifying connectivity into AWS, Interconnect – multicloud enables customers to quickly establish private, secure, high-speed network connections with dedicated bandwidth and built-in resiliency between their Amazon VPCs and other cloud environments. Interconnect – multicloud makes it easy to connect AWS resources or VPCs to other CSPs. Customers can also quickly scale connectivity to multiple VPCs or Regions via associating Interconnect with other networking services such as AWS Transit Gateway and AWS Cloud WAN, instead of taking weeks or months. Interconnect – multicloud introduces a new, single-fee pricing structure based on the customer’s selected bandwidth and the geographical scope of the connectivity to other CSPs. Customers can also use one free, local 500Mbps interconnect per Region starting in May. To learn more please see the Interconnect – multicloud Pricing documentation page.

Interconnect – multicloud is available in five AWS Regions. You can enable this capability using the AWS Management Console, Command Line Interface (CLI), or API, and CSPs can also adopt via a published open API package on GitHub. For more information, see the AWS Interconnect – multicloud documentation and pricing pages.

​AWS announces general availability (GA) of AWS Interconnect – multicloud, providing simple, resilient, high-speed private connections to other cloud service providers (CSPs). With GA comes Google Cloud as the first launch partner, with Microsoft Azure and Oracle Cloud Infrastructure (OCI) coming later in 2026.
Customers have been adopting multicloud strategies while migrating more applications to the cloud. They do so for many reasons including interoperability requirements, the freedom to choose technology that best suits their needs, and the ability to build and deploy applications on any environment with greater ease and speed. Previously, when interconnecting workloads across multiple cloud providers, customers had to go the route of a ‘do-it-yourself’ multicloud approach, leading to complexities of managing global multi-layered networks at scale. AWS Interconnect – multicloud is the first purpose-built product of its kind and a new way of how clouds connect and talk to each other. Simplifying connectivity into AWS, Interconnect – multicloud enables customers to quickly establish private, secure, high-speed network connections with dedicated bandwidth and built-in resiliency between their Amazon VPCs and other cloud environments. Interconnect – multicloud makes it easy to connect AWS resources or VPCs to other CSPs. Customers can also quickly scale connectivity to multiple VPCs or Regions via associating Interconnect with other networking services such as AWS Transit Gateway and AWS Cloud WAN, instead of taking weeks or months. Interconnect – multicloud introduces a new, single-fee pricing structure based on the customer’s selected bandwidth and the geographical scope of the connectivity to other CSPs. Customers can also use one free, local 500Mbps interconnect per Region starting in May. To learn more please see the Interconnect – multicloud Pricing documentation page.
Interconnect – multicloud is available in five AWS Regions. You can enable this capability using the AWS Management Console, Command Line Interface (CLI), or API, and CSPs can also adopt via a published open API package on GitHub. For more information, see the AWS Interconnect – multicloud documentation and pricing pages.  

Starting today, Amazon Elastic Cloud Compute (Amazon EC2) P6-B300 instances are available in the AWS GovCloud (US-East) Region. P6-B300 instances provide 8x NVIDIA Blackwell Ultra GPUs with 2.1 TB high bandwidth GPU memory, 6.4 Tbps EFA networking, 300 Gbps dedicated ENA throughput, and 4 TB of system memory.

P6-B300 instances deliver 2x networking bandwidth, 1.5x GPU memory size, and 1.5x GPU TFLOPS (at FP4, without sparsity) compared to P6-B200 instances, making them well suited to train and deploy large trillion-parameter foundation models (FMs) and large language models (LLMs) with sophisticated techniques. The higher networking and larger memory deliver faster training times and more token throughput for AI workloads.

P6-B300 instances are now available in p6-b300.48xlarge size in the following AWS Regions: US West (Oregon) and AWS GovCloud (US-East). To learn more about P6-B300 instances, visit Amazon EC2 P6 instances.

​Starting today, Amazon Elastic Cloud Compute (Amazon EC2) P6-B300 instances are available in the AWS GovCloud (US-East) Region. P6-B300 instances provide 8x NVIDIA Blackwell Ultra GPUs with 2.1 TB high bandwidth GPU memory, 6.4 Tbps EFA networking, 300 Gbps dedicated ENA throughput, and 4 TB of system memory. P6-B300 instances deliver 2x networking bandwidth, 1.5x GPU memory size, and 1.5x GPU TFLOPS (at FP4, without sparsity) compared to P6-B200 instances, making them well suited to train and deploy large trillion-parameter foundation models (FMs) and large language models (LLMs) with sophisticated techniques. The higher networking and larger memory deliver faster training times and more token throughput for AI workloads. P6-B300 instances are now available in p6-b300.48xlarge size in the following AWS Regions: US West (Oregon) and AWS GovCloud (US-East). To learn more about P6-B300 instances, visit Amazon EC2 P6 instances.  

abril 14, 2026

• Categoría: Noticias de Microsoft

La Agencia de Transformación Digital y Telecomunicaciones y Microsoft México fortalecen la cooperación en ciberseguridad

• Source LATAM

Ciudad de México – La Agencia de Transformación Digital y Telecomunicaciones (ATDT) y Microsoft firmaron un Memorándum de Entendimiento Bilateral para impulsar la colaboración en temas estratégicos de ciberseguridad. Este acuerdo se alinea con las prioridades del Plan Nacional de Ciberseguridad 2025–2030, el cual busca fortalecer las capacidades institucionales mediante acciones conjuntas entre ambas organizaciones.

El memorándum establece un marco para el intercambio de información, conocimiento, mejores prácticas y experiencias técnicas; Microsoft brindará apoyo a la ATDT en iniciativas de capacitación, fortalecimiento institucional y desarrollo de campañas de educación y prevención orientadas a consolidar una cultura de ciberseguridad en instituciones públicas.

La cooperación reconoce a la ciberseguridad como un habilitador indispensable de la transformación digital y una responsabilidad compartida: gobierno, empresas, instituciones académicas, sociedad civil y las personas jugamos un papel crítico en la protección del entorno digital.

En ese sentido, el sector público impulsa el fortalecimiento de capacidades técnicas y humanas, incluida la capacitación de personas servidoras públicas en prácticas básicas de ciberseguridad, con el acompañamiento de aliados tecnológicos que contribuyan a elevar los estándares de seguridad digital.

Durante la firma, la Directora General de Ciberseguridad de la ATDT, Heidy Rocha, señaló que “la transformación digital del Estado requiere bases sólidas de seguridad”. Este MOU fortalece las capacidades institucionales, promueve la capacitación continua y fomenta una cultura de ciberseguridad en dependencias, órganos desconcentrados y entidades públicas. La cooperación con el sector tecnológico resulta fundamental para proteger servicios digitales y la información de la ciudadanía”.

Por su parte, el Presidente y Director General de Microsoft México, Rafael Sánchez, comentó que “Microsoft mantiene un compromiso profundo con la seguridad de sus tecnologías y con el fortalecimiento de la ciberseguridad en México y a nivel global. Desde hace varios años, impulsamos el programa Secure Future Initiative, cuya misión es alcanzar los más altos estándares de protección en nuestros productos y servicios. Para nosotros, colaborar con la ATDT en un tema tan prioritario y urgente como la ciberseguridad representa no solo una gran responsabilidad, sino también un privilegio. Estamos convencidos de que esta alianza contribuirá en la transformación digital del país, creando entornos más seguros y confiables para las instituciones públicas y la ciudadanía”.

###

Acerca de Microsoft

Microsoft (Nasdaq «MSFT» @microsoft) crea plataformas y herramientas impulsadas por la IA para ofrecer soluciones innovadoras que satisfagan las necesidades cambiantes de nuestros clientes. La empresa de tecnología está comprometida con hacer que la IA esté ampliamente disponible, de manera responsable, con la misión de empoderar a cada persona y a cada organización en el planeta para lograr más.

Contacto de prensa:   

Microsoft                                                          Assembly México    

Tere Rodríguez                                         microsoftMexico@assemblyinc.com     

teresar@microsoft.com                           55 5350 1500    

Etiquetas:

• Anuncios
• México
• Press Releases
• Seguridad

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AWS Transform is now available through two additional developer tools — including Kiro and VS Code. AWS Transform is an agentic migration and modernization factory designed to compress enterprise transformation timelines from years to months — handling everything from large-scale infrastructure migrations to continuous tech debt reduction, without the manual handoffs and lost context that commonly stall these programs..

With today’s launch, you can get started with AWS Transform custom transformations from wherever you already work: install the AWS Transform Power in Kiro, or install the AWS Transform extension in VS Code . AWS Transform custom transformations help you crush tech debt at scale — choose from AWS-managed transformations for common patterns like Java, Python, and Node.js version upgrades, AWS SDK migrations (boto2 to boto3, Java SDK v1 to v2, JS SDK v2 to v3), or define your own. These new surfaces make it easier to discover additional capabilities as they become available, build and iterate on your own custom transformations, and run any agent repeatedly or across thousands of repositories at once. The custom transformations are the first in a growing library of playbooks coming to developer tools, complementing the existing AWS Transform web console and CLI so you can start a job in your IDE, track progress in the web console, and finish transformations wherever it makes sense — with job state and context shared across every surface.

AWS Transform supports deploying to all AWS commercial regions,and AWS Transform custom is available in US East (N. Virginia) and Europe (Frankfurt). To learn more, visit the AWS Transform product page and user guide.

​AWS Transform is now available through two additional developer tools — including Kiro and VS Code. AWS Transform is an agentic migration and modernization factory designed to compress enterprise transformation timelines from years to months — handling everything from large-scale infrastructure migrations to continuous tech debt reduction, without the manual handoffs and lost context that commonly stall these programs..
With today’s launch, you can get started with AWS Transform custom transformations from wherever you already work: install the AWS Transform Power in Kiro, or install the AWS Transform extension in VS Code . AWS Transform custom transformations help you crush tech debt at scale — choose from AWS-managed transformations for common patterns like Java, Python, and Node.js version upgrades, AWS SDK migrations (boto2 to boto3, Java SDK v1 to v2, JS SDK v2 to v3), or define your own. These new surfaces make it easier to discover additional capabilities as they become available, build and iterate on your own custom transformations, and run any agent repeatedly or across thousands of repositories at once. The custom transformations are the first in a growing library of playbooks coming to developer tools, complementing the existing AWS Transform web console and CLI so you can start a job in your IDE, track progress in the web console, and finish transformations wherever it makes sense — with job state and context shared across every surface.
AWS Transform supports deploying to all AWS commercial regions,and AWS Transform custom is available in US East (N. Virginia) and Europe (Frankfurt). To learn more, visit the AWS Transform product page and user guide.  

AWS Secrets Manager now supports hybrid post-quantum key exchange using ML-KEM (Module-Lattice-based Key-Encapsulation Mechanism) to secure TLS connections for retrieving and managing secrets. This protection is automatically enabled in Secrets Manager Agent (version 2.0.0+), AWS Lambda Extension (version 19+), and Secrets Manager CSI Driver (version 2.0.0+). For SDK-based clients, hybrid post-quantum key exchange is available in supported AWS SDKs including Rust, Go, Node.js, Kotlin, Python (with OpenSSL 3.5+), and Java v2 (v2.35.11+).

With this launch, your applications retrieve secrets over TLS connections that combine classical key exchange with post-quantum cryptography, helping protect against both traditional cryptographic attacks and future quantum computing threats known as «harvest now, decrypt later» (HNDL). No code changes, configuration updates, or migration effort are required for customers using the latest client versions except for Java v2. For example, a microservice requiring multiple secrets at startup can now retrieve them over quantum-resistant TLS connections by simply upgrading to the latest Secrets Manager Agent version. You can verify hybrid post-quantum key exchange is active by checking CloudTrail logs for the «X25519MLKEM768» key exchange algorithm in the tlsDetails field of GetSecretValue API calls.

Hybrid post-quantum key exchange using ML-KEM for AWS Secrets Manager is available in all AWS Regions where AWS Secrets Manager is supported. To learn more, visit the AWS Secrets Manager documentation and the AWS Post-Quantum Cryptography migration page.

​AWS Secrets Manager now supports hybrid post-quantum key exchange using ML-KEM (Module-Lattice-based Key-Encapsulation Mechanism) to secure TLS connections for retrieving and managing secrets. This protection is automatically enabled in Secrets Manager Agent (version 2.0.0+), AWS Lambda Extension (version 19+), and Secrets Manager CSI Driver (version 2.0.0+). For SDK-based clients, hybrid post-quantum key exchange is available in supported AWS SDKs including Rust, Go, Node.js, Kotlin, Python (with OpenSSL 3.5+), and Java v2 (v2.35.11+).
With this launch, your applications retrieve secrets over TLS connections that combine classical key exchange with post-quantum cryptography, helping protect against both traditional cryptographic attacks and future quantum computing threats known as «harvest now, decrypt later» (HNDL). No code changes, configuration updates, or migration effort are required for customers using the latest client versions except for Java v2. For example, a microservice requiring multiple secrets at startup can now retrieve them over quantum-resistant TLS connections by simply upgrading to the latest Secrets Manager Agent version. You can verify hybrid post-quantum key exchange is active by checking CloudTrail logs for the «X25519MLKEM768» key exchange algorithm in the tlsDetails field of GetSecretValue API calls.
Hybrid post-quantum key exchange using ML-KEM for AWS Secrets Manager is available in all AWS Regions where AWS Secrets Manager is supported. To learn more, visit the AWS Secrets Manager documentation and the AWS Post-Quantum Cryptography migration page.  

Today, AWS announces increased Amazon Elastic Block Store (Amazon EBS) performance for Amazon EC2 C8gn, M8gn, and R8gn instances in 48xlarge and metal-48xl sizes.

EC2 C8gn, M8gn, and R8gn instances are network optimized instances powered by AWS Graviton4 processors and latest 6th generation AWS Nitro Cards. With the latest enhancements to AWS Nitro System, we have doubled the maximum EBS performance on these instances in 48xlarge and metal-48xl sizes, from 60 Gbps of EBS bandwidth and 240,000 IOPS to 120 Gbps of EBS bandwidth and 480,000 IOPS. Customers running network-intensive workloads while requiring additional block storage performance such as data analytics and high-performance file systems can benefit from the improved EBS performance.

All existing and new C8gn, M8gn, and R8gn instances in 48xlarge and metal-48xl sizes launched starting today will benefit from this performance increase at no additional cost. For running instances, customers can stop and start instances to enable this performance increase. The higher EBS performance is available in all AWS regions where these instance types are generally available today.

To learn more, see Amazon C8gn, M8gn, and R8gn Instances and EBS-optimized instance types. 

​Today, AWS announces increased Amazon Elastic Block Store (Amazon EBS) performance for Amazon EC2 C8gn, M8gn, and R8gn instances in 48xlarge and metal-48xl sizes.
EC2 C8gn, M8gn, and R8gn instances are network optimized instances powered by AWS Graviton4 processors and latest 6th generation AWS Nitro Cards. With the latest enhancements to AWS Nitro System, we have doubled the maximum EBS performance on these instances in 48xlarge and metal-48xl sizes, from 60 Gbps of EBS bandwidth and 240,000 IOPS to 120 Gbps of EBS bandwidth and 480,000 IOPS. Customers running network-intensive workloads while requiring additional block storage performance such as data analytics and high-performance file systems can benefit from the improved EBS performance.
All existing and new C8gn, M8gn, and R8gn instances in 48xlarge and metal-48xl sizes launched starting today will benefit from this performance increase at no additional cost. For running instances, customers can stop and start instances to enable this performance increase. The higher EBS performance is available in all AWS regions where these instance types are generally available today.
To learn more, see Amazon C8gn, M8gn, and R8gn Instances and EBS-optimized instance types.   

• Categoría: Noticias de Microsoft

abril 14, 2026

MAI-Image-2-Efficient: calidad insignia, costo 41% menor

Por: Equipo de MAI Superintelligence.

Disponible ahora en Microsoft Foundryy MAI Playground

Construimos MAI-Image-2 para que fuera nuestro mejor modelo de texto a imagen — fotorrealista, expresivo, con texto dentro de la imagen fiable.

Hoy hacemos todo eso más rápido y barato.

Conozcan MAI-Image-2-Efficient.

Calidad lista para producción. Construido para la velocidad y la escala. 22% más rápido y 4 veces más eficiente¹. Y con un precio casi un 41% más bajo — 5 dólares por cada 1 millón de tokens de entrada de texto, 19,50 dólares por cada 1 millón de tokens de salida de imagen.

Eso no es solo más rápido que nuestro propio modelo insignia. Es un 40% más rápido en promedio que otros modelos principales de texto a imagen².

Dos modelos, dos trabajos

MAI-Image-2-Efficient es su caballo de batalla de producción. Úsenlo cuando necesiten volumen, rapidez y un control estricto de costes — fotos de producto, creatividades de marketing, maquetas de interfaz, activos de marca, pipelines por lotes. Este modelo gestiona textos cortos como encabezados y etiquetas de forma limpia, y está diseñado para funcionar en flujos de trabajo interactivos en tiempo real sin despeinarse.

MAI-Image-2 es su herramienta de precisión. Úsenlo cuando el encargo requiera la mayor fidelidad: retratos, escenas fotorrealistas, looks estilizados como anime o ilustración, y texto más largo o complejo en imagen. Este es el modelo para los entregables finales donde cada detalle importa.

Empiecen a construir ahora

MAI-Image-2-Efficient está disponible hoy en Microsoft Foundry y MAI Playground³. Sin lista de espera, sin vista previa — sólo actívenlo y listo. También se va a desplegar en Copilot y Bing, con más superficies como PowerPoint más adelante.

Socios como Shutterstock ya lo han probado con resultados prometedores:

«MAI-Image-2-Efficient muestra un fuerte progreso en fidelidad rápida y usabilidad creativa a lo largo de una variedad de flujos de trabajo. En nuestro trabajo de evaluación, analizamos con detenimiento cómo los modelos traducen la intención en resultados consistentes y listos para producción, y este modelo va en la dirección correcta. Ese nivel de fiabilidad es lo que en verdad importa cuando los equipos pasan de la experimentación al uso en el mundo real.» – Vanessa Salvo, directora de producto principal, Shutterstock

Esto es solo el principio. Más modelos llegarán más adelante— estén atentos.

Descargar tarjeta de modelo

1. Tal como se probó el 13 de abril de 2026. Comparado con MAI-Image-2 cuando se normaliza por latencia y uso de GPU. Rendimiento por GPU vs MAI-Image-2 en NVIDIA H100 a 1024×1024; se midió con tamaños de lote optimizados y objetivos de latencia coincididos. Los resultados varían según el tamaño del lote, la concurrencia y las restricciones de latencia.
2. Tal como se probó el 13 de abril de 2026. Comparado con Gemini 3.1 Flash (alto razonamiento), Gemini 3.1 Flash Image y Gemini 3 Pro Image: medido a p50 de latencia mediante AI Studio API (1:1, 1K imágenes; razonamiento mínimo salvo que se indique; búsqueda web deshabilitada). MAI-Image-2, MAI-Image-2e, GPT-Image-1.5-High: Medido a una latencia p50 mediante Foundry API.
3. MAI Playground está disponible en mercados seleccionados, incluidos Estados Unidos. Más adelante en los países de la UE.

Etiquetas:

• IA
• Innovación

The post MAI-Image-2-Efficient: calidad insignia, costo 41% menor appeared first on Source LATAM.

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NVIDIA’s Nemotron-3-Super-120B, Qwen3.5-9B, and Qwen3.5-27B models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. These three models bring specialized capabilities spanning agentic reasoning, multilingual coding, and advanced instruction following, enabling customers to deploy high-performance, scalable AI solutions on AWS infrastructure.

These models address different enterprise AI challenges with specialized capabilities:
Nemotron-3-Super-120B is optimized for collaborative agents and high-volume workloads such as IT ticket automation. It employs a hybrid Latent Mixture-of-Experts (LatentMoE) architecture with Mamba-2 and MoE layers, enabling strong agentic, reasoning, and conversational capabilities useful for multi-agent applications like software development and cybersecurity triaging.
Qwen 3.5 9B excels in multilingual coding, instruction following, and long-horizon planning, automating software development workflows and executing complex, multi-step office tasks. Its compact design balances efficiency and performance for resource-constrained environments.
Qwen 3.5 27B provides deeper contextual understanding, extended reasoning capabilities, and enhanced spatial/complex scenario comprehension, ideal for advanced multimodal reasoning and large-scale document processing.
With SageMaker JumpStart, customers can deploy any of these models with just a few clicks to address their specific AI use cases.

To get started with these models, navigate to the SageMaker JumpStart model catalog in the SageMaker console or use the SageMaker Python SDK to deploy the models to your AWS account. For more information about deploying and using foundation models in SageMaker JumpStart, see the Amazon SageMaker JumpStart documentation.

​NVIDIA’s Nemotron-3-Super-120B, Qwen3.5-9B, and Qwen3.5-27B models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. These three models bring specialized capabilities spanning agentic reasoning, multilingual coding, and advanced instruction following, enabling customers to deploy high-performance, scalable AI solutions on AWS infrastructure. These models address different enterprise AI challenges with specialized capabilities: Nemotron-3-Super-120B is optimized for collaborative agents and high-volume workloads such as IT ticket automation. It employs a hybrid Latent Mixture-of-Experts (LatentMoE) architecture with Mamba-2 and MoE layers, enabling strong agentic, reasoning, and conversational capabilities useful for multi-agent applications like software development and cybersecurity triaging. Qwen 3.5 9B excels in multilingual coding, instruction following, and long-horizon planning, automating software development workflows and executing complex, multi-step office tasks. Its compact design balances efficiency and performance for resource-constrained environments. Qwen 3.5 27B provides deeper contextual understanding, extended reasoning capabilities, and enhanced spatial/complex scenario comprehension, ideal for advanced multimodal reasoning and large-scale document processing. With SageMaker JumpStart, customers can deploy any of these models with just a few clicks to address their specific AI use cases. To get started with these models, navigate to the SageMaker JumpStart model catalog in the SageMaker console or use the SageMaker Python SDK to deploy the models to your AWS account. For more information about deploying and using foundation models in SageMaker JumpStart, see the Amazon SageMaker JumpStart documentation.