Crear mejores resultados sanitarios con Azure OpenAI Service y Azure AI Foundry

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Starting today, Amazon Elastic Compute Cloud (Amazon EC2) Flex instances (C7i-flex, M7i-flex) larger sizes are available in Asia Pacific (Seoul) region. The new sizes (12xlarge, 16xlarge) expand the EC2 Flex portfolio, providing additional compute options to scale-up existing workloads or run larger sized applications that need additional memory. These instances are powered by custom 4th Gen Intel Xeon Scalable processors, that are available only on AWS, and offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers.

Flex instances are the easiest way for you to get price-performance benefits for a majority of general-purpose and compute intensive workloads. They deliver up to 19% better price performance than comparable previous generation instances and are a great first choice for applications that do not fully utilize the compute resources. Flex instances are ideal for web and application servers, batch processing, enterprise applications, databases, and more. For compute-intensive and general-purpose workloads that need even larger instance sizes (up to 192 vCPUs and 768 GiB memory) or continuous high CPU usage, you can leverage Amazon EC2 C7i and M7i instances.

To learn more, visit Amazon EC2 C7i-flex and M7i-flex instance pages.
 

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) Flex instances (C7i-flex, M7i-flex) larger sizes are available in Asia Pacific (Seoul) region. The new sizes (12xlarge, 16xlarge) expand the EC2 Flex portfolio, providing additional compute options to scale-up existing workloads or run larger sized applications that need additional memory. These instances are powered by custom 4th Gen Intel Xeon Scalable processors, that are available only on AWS, and offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers. Flex instances are the easiest way for you to get price-performance benefits for a majority of general-purpose and compute intensive workloads. They deliver up to 19% better price performance than comparable previous generation instances and are a great first choice for applications that do not fully utilize the compute resources. Flex instances are ideal for web and application servers, batch processing, enterprise applications, databases, and more. For compute-intensive and general-purpose workloads that need even larger instance sizes (up to 192 vCPUs and 768 GiB memory) or continuous high CPU usage, you can leverage Amazon EC2 C7i and M7i instances. To learn more, visit Amazon EC2 C7i-flex and M7i-flex instance pages.    

Amazon Web Services has announced availability of Amazon WorkSpaces Personal, WorkSpaces Pools and WorkSpaces Core in the AWS Europe (Paris) Region. You can now provision WorkSpaces closer to your users, helping to provide in-country data residency and a more responsive experience. Additionally, you can quickly add or remove WorkSpaces to meet changing demand, without the cost and complexity of on-premises Virtual Desktop Infrastructure (VDI).

Amazon WorkSpaces is a fully managed virtual desktop infrastructure (VDI) service that helps organizations provide end users access to applications and data while optimizing costs and improving productivity. WorkSpaces gives organizations the flexibility to choose between highly configurable virtual desktops for workers that need access to a consistent, personalized environment each time they log in or pools of virtual desktops shared across a group of users to help reduce costs.

To get started, sign in to the Amazon WorkSpaces Management Console and select Europe (Paris) Region. For the full list of Regions where WorkSpaces is available, see the AWS Region Table. For pricing details, visit the WorkSpaces Pricing page.

​Amazon Web Services has announced availability of Amazon WorkSpaces Personal, WorkSpaces Pools and WorkSpaces Core in the AWS Europe (Paris) Region. You can now provision WorkSpaces closer to your users, helping to provide in-country data residency and a more responsive experience. Additionally, you can quickly add or remove WorkSpaces to meet changing demand, without the cost and complexity of on-premises Virtual Desktop Infrastructure (VDI). Amazon WorkSpaces is a fully managed virtual desktop infrastructure (VDI) service that helps organizations provide end users access to applications and data while optimizing costs and improving productivity. WorkSpaces gives organizations the flexibility to choose between highly configurable virtual desktops for workers that need access to a consistent, personalized environment each time they log in or pools of virtual desktops shared across a group of users to help reduce costs. To get started, sign in to the Amazon WorkSpaces Management Console and select Europe (Paris) Region. For the full list of Regions where WorkSpaces is available, see the AWS Region Table. For pricing details, visit the WorkSpaces Pricing page.  

Amazon SageMaker now supports direct connectivity to Oracle, Amazon DocumentDB, and Microsoft SQL Server databases, expanding the available data integration capabilities in Amazon SageMaker Lakehouse. This enhancement enables customers to seamlessly access and analyze data from these databases.

With these new data source connections, customers can directly query data and build ETL flows from their Oracle, Amazon DocumentDB, and Microsoft SQL Server databases. This integration simplifies data and AI/ML workflows by allowing you to work with your data alongside AWS data, analytics and AI capabilities.

Support for these new data sources is available in all AWS Regions where Amazon SageMaker Unified Studio is available. For the most up-to-date information about regional availability, visit the AWS Region table.

To learn more about connecting to data sources in Amazon SageMaker Lakehouse, visit the documentation.

​Amazon SageMaker now supports direct connectivity to Oracle, Amazon DocumentDB, and Microsoft SQL Server databases, expanding the available data integration capabilities in Amazon SageMaker Lakehouse. This enhancement enables customers to seamlessly access and analyze data from these databases. With these new data source connections, customers can directly query data and build ETL flows from their Oracle, Amazon DocumentDB, and Microsoft SQL Server databases. This integration simplifies data and AI/ML workflows by allowing you to work with your data alongside AWS data, analytics and AI capabilities. Support for these new data sources is available in all AWS Regions where Amazon SageMaker Unified Studio is available. For the most up-to-date information about regional availability, visit the AWS Region table. To learn more about connecting to data sources in Amazon SageMaker Lakehouse, visit the documentation.  

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R7g instances are available in the AWS GovCloud (US-East) Region. These instances are powered by AWS Graviton3 processors that provide up to 25% better compute performance compared to AWS Graviton2 processors, and built on top of the the AWS Nitro System, a collection of AWS designed innovations that deliver efficient, flexible, and secure cloud services with isolated multi-tenancy, private networking, and fast local storage.

Amazon EC2 Graviton3 instances also use up to 60% less energy to reduce your cloud carbon footprint for the same performance than comparable EC2 instances. For increased scalability, these instances are available in 9 different instance sizes, including bare metal, and offer up to 30 Gbps networking bandwidth and up to 20 Gbps of bandwidth to the Amazon Elastic Block Store (EBS).

To learn more, see Amazon EC2 R7g. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS GovCloud (US) Console.

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R7g instances are available in the AWS GovCloud (US-East) Region. These instances are powered by AWS Graviton3 processors that provide up to 25% better compute performance compared to AWS Graviton2 processors, and built on top of the the AWS Nitro System, a collection of AWS designed innovations that deliver efficient, flexible, and secure cloud services with isolated multi-tenancy, private networking, and fast local storage. Amazon EC2 Graviton3 instances also use up to 60% less energy to reduce your cloud carbon footprint for the same performance than comparable EC2 instances. For increased scalability, these instances are available in 9 different instance sizes, including bare metal, and offer up to 30 Gbps networking bandwidth and up to 20 Gbps of bandwidth to the Amazon Elastic Block Store (EBS). To learn more, see Amazon EC2 R7g. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS GovCloud (US) Console.  

Amazon SageMaker Catalog, part of the next generation of SageMaker, now supports authorization policies for asset type (template) usage — a new governance capability that gives organizations fine-grained control over who can create and manage custom assets using specific asset type. In large enterprises, teams often define business specific asset templates (such as ClinicalStudyAsset or FinancialReportAsset) to standardize how data is structured, cataloged for discovery, and governed across the organization.

With this authorization policy-based control, organizations can enforce usage boundaries, allowing administrators to restrict the use of sensitive or proprietary templates to only authorized projects and users. For example, a life sciences organization admin can ensure that only R&D teams can use ClinicalStudyAsset asset types to publish clinical trial datasets, while a financial services firm can limit FinancialReportAsset asset types to audit or compliance teams. This streamlines asset creation while reducing duplication, preventing mismanagement, and maintaining governance boundaries across business units—ensuring that sensitive templates are used only by the right users in a secure and compliant manner.

Learn more about how to assign authorization policies to asset types in our product documentation.

​Amazon SageMaker Catalog, part of the next generation of SageMaker, now supports authorization policies for asset type (template) usage — a new governance capability that gives organizations fine-grained control over who can create and manage custom assets using specific asset type. In large enterprises, teams often define business specific asset templates (such as ClinicalStudyAsset or FinancialReportAsset) to standardize how data is structured, cataloged for discovery, and governed across the organization. With this authorization policy-based control, organizations can enforce usage boundaries, allowing administrators to restrict the use of sensitive or proprietary templates to only authorized projects and users. For example, a life sciences organization admin can ensure that only R&D teams can use ClinicalStudyAsset asset types to publish clinical trial datasets, while a financial services firm can limit FinancialReportAsset asset types to audit or compliance teams. This streamlines asset creation while reducing duplication, preventing mismanagement, and maintaining governance boundaries across business units—ensuring that sensitive templates are used only by the right users in a secure and compliant manner. Learn more about how to assign authorization policies to asset types in our product documentation.  

Starting today, memory-optimized Amazon Compute Cloud (Amazon EC2) X2idn instances are available in AWS Israel (Tel Aviv) region. These instances, powered by 3rd generation Intel Xeon Scalable Processors and built with AWS Nitro System, are designed for memory-intensive workloads. They deliver improvements in performance, price performance, and cost per GiB of memory compared to previous generation X1 instances. These instances are SAP-certified for running Business Suite on HANA, SAP S/4HANA, Data Mart Solutions on HANA, Business Warehouse on HANA, SAP BW/4HANA, and SAP NetWeaver workloads on any database.

To learn more, visit the EC2 X2i Instances Page, or connect with your AWS Support contacts.

​Starting today, memory-optimized Amazon Compute Cloud (Amazon EC2) X2idn instances are available in AWS Israel (Tel Aviv) region. These instances, powered by 3rd generation Intel Xeon Scalable Processors and built with AWS Nitro System, are designed for memory-intensive workloads. They deliver improvements in performance, price performance, and cost per GiB of memory compared to previous generation X1 instances. These instances are SAP-certified for running Business Suite on HANA, SAP S/4HANA, Data Mart Solutions on HANA, Business Warehouse on HANA, SAP BW/4HANA, and SAP NetWeaver workloads on any database. To learn more, visit the EC2 X2i Instances Page, or connect with your AWS Support contacts.  

Amazon CloudWatch Network Monitoring now allows you to monitor network performance of your AWS workloads that span multiple accounts by using flow monitors. Flow monitors provide near real-time visibility of network performance for workloads between compute instances such as Amazon EC2 and Amazon EKS, and AWS services such as Amazon S3, Amazon RDS, and Amazon DynamoDB, enabling you to rapidly detect and attribute network-driven impairments for your workloads. By integrating with AWS Organizations, flow monitors now allow you to monitor network performance of your AWS workloads that span multiple accounts.

Multi-account support enables a unified onboarding experience so that you as a network administrator can enable flow monitors across all accounts that own the different resources that need to be monitored. As a result, you get visibility of network paths for workloads that cross multiple accounts. With multi-account support for flow monitors, you also get a unified view of network performance metrics for flows that span multiple accounts.

For the full list of AWS Regions where Network Monitoring for AWS workloads is available, visit the Regions list. To learn more, visit the Amazon CloudWatch Network Monitoring documentation.

​Amazon CloudWatch Network Monitoring now allows you to monitor network performance of your AWS workloads that span multiple accounts by using flow monitors. Flow monitors provide near real-time visibility of network performance for workloads between compute instances such as Amazon EC2 and Amazon EKS, and AWS services such as Amazon S3, Amazon RDS, and Amazon DynamoDB, enabling you to rapidly detect and attribute network-driven impairments for your workloads. By integrating with AWS Organizations, flow monitors now allow you to monitor network performance of your AWS workloads that span multiple accounts. Multi-account support enables a unified onboarding experience so that you as a network administrator can enable flow monitors across all accounts that own the different resources that need to be monitored. As a result, you get visibility of network paths for workloads that cross multiple accounts. With multi-account support for flow monitors, you also get a unified view of network performance metrics for flows that span multiple accounts. For the full list of AWS Regions where Network Monitoring for AWS workloads is available, visit the Regions list. To learn more, visit the Amazon CloudWatch Network Monitoring documentation.  

Today, we are announcing the general availability of AWS Wavelength in partnership with Verizon in Lenexa, Kansas. AWS Wavelength Zone enables customers to run applications using AWS infrastructure and services in AWS telco partners’ data centers, addressing critical needs for low latency, data residency, and application resiliency across a wide range of industries.

With this expansion, AWS Wavelength Zone now offers low-latency, local compute, storage, networking, and other building block services for edge computing to customers in the Lenexa metropolitan area. This is particularly valuable for industries with strict regulatory compliance needs, such as financial services, healthcare, government sectors, and Sports Betting and Gaming customers.

The new AWS Wavelength Zone in the AWS US East (N. Virginia) Region expands AWS’s edge computing capabilities, offering customers in the region enhanced options for data localization and application resilience. By integrating seamlessly with Amazon EC2, EBS, ALB, VPC, Data Transfer and other AWS services, Wavelength Zones allow developers to easily extend their applications to the edge, ensuring data remains within specified geographical boundaries while maintaining high performance and reliability. This expansion addresses the growing need for edge computing solutions that can handle diverse workloads while meeting complex regulatory and operational requirements.

Learn more about AWS Wavelength and get started today.

​Today, we are announcing the general availability of AWS Wavelength in partnership with Verizon in Lenexa, Kansas. AWS Wavelength Zone enables customers to run applications using AWS infrastructure and services in AWS telco partners’ data centers, addressing critical needs for low latency, data residency, and application resiliency across a wide range of industries. With this expansion, AWS Wavelength Zone now offers low-latency, local compute, storage, networking, and other building block services for edge computing to customers in the Lenexa metropolitan area. This is particularly valuable for industries with strict regulatory compliance needs, such as financial services, healthcare, government sectors, and Sports Betting and Gaming customers. The new AWS Wavelength Zone in the AWS US East (N. Virginia) Region expands AWS’s edge computing capabilities, offering customers in the region enhanced options for data localization and application resilience. By integrating seamlessly with Amazon EC2, EBS, ALB, VPC, Data Transfer and other AWS services, Wavelength Zones allow developers to easily extend their applications to the edge, ensuring data remains within specified geographical boundaries while maintaining high performance and reliability. This expansion addresses the growing need for edge computing solutions that can handle diverse workloads while meeting complex regulatory and operational requirements. Learn more about AWS Wavelength and get started today.  

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) P5en instances powered by NVIDIA H200 GPUs are available in the AWS US West (N. California) Region. These instances are optimized for generative AI and high performance computing (HPC) applications.

P5en instances feature 8 H200 GPUs which have 1.7x GPU memory size and 1.4x GPU memory bandwidth than H100 GPUs featured in P5 instances. P5en instances pair the H200 GPUs with high performance custom 4^th Generation Intel Xeon Scalable processors, enabling Gen5 PCIe between CPU and GPU which provides up to 4x the bandwidth between CPU and GPU and boosts AI training and inference performance. P5en, with up to 3200 Gbps of third generation of EFA using Nitro v5, shows up to 35% improvement in latency compared to P5 that uses the previous generation of EFA and Nitro. This helps improve collective communications performance for distributed training workloads such as deep learning, generative AI, real-time data processing, and high-performance computing (HPC) applications. To address customer needs for large scale at low latency, P5en instances are deployed in Amazon EC2 UltraClusters, and provide market-leading scale-out capabilities for distributed training and tightly coupled HPC workloads.

To learn more about P5en instances, see Amazon EC2 P5en Instances.

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) P5en instances powered by NVIDIA H200 GPUs are available in the AWS US West (N. California) Region. These instances are optimized for generative AI and high performance computing (HPC) applications. P5en instances feature 8 H200 GPUs which have 1.7x GPU memory size and 1.4x GPU memory bandwidth than H100 GPUs featured in P5 instances. P5en instances pair the H200 GPUs with high performance custom 4th Generation Intel Xeon Scalable processors, enabling Gen5 PCIe between CPU and GPU which provides up to 4x the bandwidth between CPU and GPU and boosts AI training and inference performance. P5en, with up to 3200 Gbps of third generation of EFA using Nitro v5, shows up to 35% improvement in latency compared to P5 that uses the previous generation of EFA and Nitro. This helps improve collective communications performance for distributed training workloads such as deep learning, generative AI, real-time data processing, and high-performance computing (HPC) applications. To address customer needs for large scale at low latency, P5en instances are deployed in Amazon EC2 UltraClusters, and provide market-leading scale-out capabilities for distributed training and tightly coupled HPC workloads. To learn more about P5en instances, see Amazon EC2 P5en Instances.