Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M8g instances are available in AWS Europe (Ireland) region. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 M8g instances are built for general-purpose workloads, such as application servers, microservices, gaming servers, midsize data stores, and caching fleets. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads.

AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. These instances offer larger instance sizes with up to 3x more vCPUs and memory compared to Graviton3-based Amazon M7g instances. AWS Graviton4 processors are up to 40% faster for databases, 30% faster for web applications, and 45% faster for large Java applications than AWS Graviton3 processors. M8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS).

To learn more, see Amazon EC2 M8g Instances. 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 Management Console.

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M8g instances are available in AWS Europe (Ireland) region. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 M8g instances are built for general-purpose workloads, such as application servers, microservices, gaming servers, midsize data stores, and caching fleets. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads. AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. These instances offer larger instance sizes with up to 3x more vCPUs and memory compared to Graviton3-based Amazon M7g instances. AWS Graviton4 processors are up to 40% faster for databases, 30% faster for web applications, and 45% faster for large Java applications than AWS Graviton3 processors. M8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). To learn more, see Amazon EC2 M8g Instances. 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 Management Console.  

Starting today, you can use AWS WAF in the AWS Asia Pacific (Thailand) and AWS Mexico (Central) Region.

AWS WAF is a web application firewall that helps you protect your web application resources against common web exploits and bots that can affect availability, compromise security, or consume excessive resources. 

To see the full list of regions where AWS WAF is currently available, visit the AWS Region Table. Please note that only core AWS WAF features like AWS Managed Rules and rules are currently available in these new regions. For more information about the service, visit the AWS WAF page. AWS WAF pricing may vary between regions. For more information about pricing, visit the AWS WAF Pricing page.

​Starting today, you can use AWS WAF in the AWS Asia Pacific (Thailand) and AWS Mexico (Central) Region. AWS WAF is a web application firewall that helps you protect your web application resources against common web exploits and bots that can affect availability, compromise security, or consume excessive resources.  To see the full list of regions where AWS WAF is currently available, visit the AWS Region Table. Please note that only core AWS WAF features like AWS Managed Rules and rules are currently available in these new regions. For more information about the service, visit the AWS WAF page. AWS WAF pricing may vary between regions. For more information about pricing, visit the AWS WAF Pricing page.  

Amazon Nova Pro foundation model now supports latency-optimized inference in preview on Amazon Bedrock, enabling faster response times and improved responsiveness for generative AI applications. Latency-optimized inference speeds up response times for latency-sensitive applications, improving the end-user experience and giving developers more flexibility to optimize performance for their use case. Accessing these capabilities requires no additional setup or model fine-tuning, allowing for immediate enhancement of existing applications with faster response times.

Latency optimized inference for Amazon Nova Pro is available via cross-region inference in US West (Oregon), US East (Virginia), and US East (Ohio) regions. Learn more about Amazon Nova foundation models at the AWS News Blog, the Amazon Nova product page, or the Amazon Nova user guide. Learn more about latency optimized inference on Bedrock in documentation. You can get started with Amazon Nova foundation models in Amazon Bedrock from the Amazon Bedrock console.

​Amazon Nova Pro foundation model now supports latency-optimized inference in preview on Amazon Bedrock, enabling faster response times and improved responsiveness for generative AI applications. Latency-optimized inference speeds up response times for latency-sensitive applications, improving the end-user experience and giving developers more flexibility to optimize performance for their use case. Accessing these capabilities requires no additional setup or model fine-tuning, allowing for immediate enhancement of existing applications with faster response times. Latency optimized inference for Amazon Nova Pro is available via cross-region inference in US West (Oregon), US East (Virginia), and US East (Ohio) regions. Learn more about Amazon Nova foundation models at the AWS News Blog, the Amazon Nova product page, or the Amazon Nova user guide. Learn more about latency optimized inference on Bedrock in documentation. You can get started with Amazon Nova foundation models in Amazon Bedrock from the Amazon Bedrock console.  

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8g instances are available in AWS Asia Pacific (Mumbai) region. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 C8g instances are built for compute-intensive workloads, such as high performance computing (HPC), batch processing, gaming, video encoding, scientific modeling, distributed analytics, CPU-based machine learning (ML) inference, and ad serving. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads.

AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. These instances offer larger instance sizes with up to 3x more vCPUs and memory compared to Graviton3-based Amazon C7g instances. AWS Graviton4 processors are up to 40% faster for databases, 30% faster for web applications, and 45% faster for large Java applications than AWS Graviton3 processors. C8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS).

To learn more, see Amazon EC2 C8g Instances. 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 Management Console.
 

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8g instances are available in AWS Asia Pacific (Mumbai) region. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 C8g instances are built for compute-intensive workloads, such as high performance computing (HPC), batch processing, gaming, video encoding, scientific modeling, distributed analytics, CPU-based machine learning (ML) inference, and ad serving. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads. AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. These instances offer larger instance sizes with up to 3x more vCPUs and memory compared to Graviton3-based Amazon C7g instances. AWS Graviton4 processors are up to 40% faster for databases, 30% faster for web applications, and 45% faster for large Java applications than AWS Graviton3 processors. C8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). To learn more, see Amazon EC2 C8g Instances. 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 Management Console.    

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M7g instances are available in the AWS Europe (Zurich) 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 M7g. 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 Management Console.

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M7g instances are available in the AWS Europe (Zurich) 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 M7g. 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 Management Console.  

AWS Identity and Access Manager (IAM) Access Analyzer now supports Internet Protocol version 6 (IPv6) addresses via our new dual-stack endpoints. The existing IAM Access Analyzer endpoints supporting IPv4 will remain available for backwards compatibility. The new dual-stack domains are available either from the internet or from within an Amazon Virtual Private Cloud (VPC) using AWS PrivateLink.

To learn more on best practices for configuring IPv6 in your environment, visit the whitepaper on IPv6 in AWS. Support for IPv6 on IAM Access Analyzer is available in the AWS Commercial Regions, the AWS GovCloud (US) Regions, and the China Regions. To get started with using IAM Access Analyzer to continuously monitor access to your resources and remove unused permissions, visit our documentation.
 

​AWS Identity and Access Manager (IAM) Access Analyzer now supports Internet Protocol version 6 (IPv6) addresses via our new dual-stack endpoints. The existing IAM Access Analyzer endpoints supporting IPv4 will remain available for backwards compatibility. The new dual-stack domains are available either from the internet or from within an Amazon Virtual Private Cloud (VPC) using AWS PrivateLink. To learn more on best practices for configuring IPv6 in your environment, visit the whitepaper on IPv6 in AWS. Support for IPv6 on IAM Access Analyzer is available in the AWS Commercial Regions, the AWS GovCloud (US) Regions, and the China Regions. To get started with using IAM Access Analyzer to continuously monitor access to your resources and remove unused permissions, visit our documentation.    

Starting March 5, 2025, Amazon FSx for NetApp ONTAP eliminates SnapLock licensing fees for data stored in SnapLock volumes, making it more cost-effective for customers to protect their business-critical data from ransomware, unauthorized deletions, and malicious modifications.

SnapLock is an ONTAP feature that offers Write Once, Read Many (WORM) protection to prevent alteration or deletion of data for specified retention periods, enabling customers to meet regulatory compliance and improve data protection. After this billing change, volumes with SnapLock enabled will no longer incur licensing charges. This license removal requires no changes to customer applications and takes effect automatically for both new and existing SnapLock volumes.

The removal of SnapLock licensing fees applies to all FSx for ONTAP file systems across all AWS Regions where they are available. To learn more, visit the product page and SnapLock in the user guide.
 

​Starting March 5, 2025, Amazon FSx for NetApp ONTAP eliminates SnapLock licensing fees for data stored in SnapLock volumes, making it more cost-effective for customers to protect their business-critical data from ransomware, unauthorized deletions, and malicious modifications. SnapLock is an ONTAP feature that offers Write Once, Read Many (WORM) protection to prevent alteration or deletion of data for specified retention periods, enabling customers to meet regulatory compliance and improve data protection. After this billing change, volumes with SnapLock enabled will no longer incur licensing charges. This license removal requires no changes to customer applications and takes effect automatically for both new and existing SnapLock volumes. The removal of SnapLock licensing fees applies to all FSx for ONTAP file systems across all AWS Regions where they are available. To learn more, visit the product page and SnapLock in the user guide.    

The post Los nuevos agentes de ventas accesibles en Microsoft 365 Copilot ayudan a los equipos a cerrar más acuerdos más rápido appeared first on Source LATAM.

​The post Los nuevos agentes de ventas accesibles en Microsoft 365 Copilot ayudan a los equipos a cerrar más acuerdos más rápido appeared first on Source LATAM.  

Today, we are excited to announce that Amazon Q Business now supports the ingestion of audio and video data. This new feature enables Amazon Q customers to search through ingested audio and video content, allowing them to ask questions based on the information contained within these media files.

This enhancement significantly expands the capabilities of Amazon Q Business, making it an even more powerful tool for organizations to access and utilize their multimedia content. Customers can unlock valuable insights from their audio and video resources. Users can now easily search for specific information within recorded meetings, training videos, podcasts, or any other audio or video content ingested into Amazon Q Business. This capability streamlines information retrieval, enhances knowledge sharing, and improves decision-making processes by making multimedia content as searchable and accessible as text-based documents.

The audio and video ingestion feature uses the Bedrock Data Automation feature to process customer’s multimodal assets.The feature for Amazon Q Business is available in US East (N. Virginia) and US West (Oregon) AWS Regions. Customers can start using this feature in supported regions to enhance their organization’s knowledge management and information discovery processes. To get started with ingesting audio and video data in Amazon Q Business, visit the Amazon Q console or refer to the documentation. For more information about Amazon Q Business and its features, please visit the Amazon Q product page.

​Today, we are excited to announce that Amazon Q Business now supports the ingestion of audio and video data. This new feature enables Amazon Q customers to search through ingested audio and video content, allowing them to ask questions based on the information contained within these media files. This enhancement significantly expands the capabilities of Amazon Q Business, making it an even more powerful tool for organizations to access and utilize their multimedia content. Customers can unlock valuable insights from their audio and video resources. Users can now easily search for specific information within recorded meetings, training videos, podcasts, or any other audio or video content ingested into Amazon Q Business. This capability streamlines information retrieval, enhances knowledge sharing, and improves decision-making processes by making multimedia content as searchable and accessible as text-based documents. The audio and video ingestion feature uses the Bedrock Data Automation feature to process customer’s multimodal assets.The feature for Amazon Q Business is available in US East (N. Virginia) and US West (Oregon) AWS Regions. Customers can start using this feature in supported regions to enhance their organization’s knowledge management and information discovery processes. To get started with ingesting audio and video data in Amazon Q Business, visit the Amazon Q console or refer to the documentation. For more information about Amazon Q Business and its features, please visit the Amazon Q product page.  

Amazon S3 Tables are now available in three additional AWS Regions: Asia Pacific (Seoul), Asia Pacific (Singapore), and Asia Pacific (Sydney).

S3 Tables deliver the first cloud object store with built-in Apache Iceberg support, and the easiest way to store tabular data at scale. S3 Tables are specifically optimized for analytics workloads, resulting in up to 3x faster query performance through continual table optimization compared to unmanaged Iceberg tables, and up to 10x higher transactions per second compared to Iceberg tables stored in general purpose S3 buckets.

You can use S3 Tables with AWS analytics services through the preview integration with Amazon SageMaker Lakehouse, as well as Apache Iceberg-compatible open source engines like Apache Spark and Apache Flink. Additionally, S3 Tables perform continual table maintenance to automatically expire old snapshots and related data files to reduce storage cost over time.

S3 Tables are now generally available in eleven AWS Regions. For pricing details, visit the S3 pricing page. To learn more, visit the product page, documentation, and AWS News Blog.
 

​Amazon S3 Tables are now available in three additional AWS Regions: Asia Pacific (Seoul), Asia Pacific (Singapore), and Asia Pacific (Sydney). S3 Tables deliver the first cloud object store with built-in Apache Iceberg support, and the easiest way to store tabular data at scale. S3 Tables are specifically optimized for analytics workloads, resulting in up to 3x faster query performance through continual table optimization compared to unmanaged Iceberg tables, and up to 10x higher transactions per second compared to Iceberg tables stored in general purpose S3 buckets. You can use S3 Tables with AWS analytics services through the preview integration with Amazon SageMaker Lakehouse, as well as Apache Iceberg-compatible open source engines like Apache Spark and Apache Flink. Additionally, S3 Tables perform continual table maintenance to automatically expire old snapshots and related data files to reduce storage cost over time. S3 Tables are now generally available in eleven AWS Regions. For pricing details, visit the S3 pricing page. To learn more, visit the product page, documentation, and AWS News Blog.