Today, AWS announces the general availability of Custom Instructions for Q&A topics in Amazon Q in QuickSight.

Custom Instructions enables Author Pros to curate Amazon Q’s responses to questions by adding domain-specific knowledge that can’t be captured through a topic’s metadata settings, such as synonyms or semantic types. By providing these metadata descriptions or custom instructions, Authors can guide Amazon Q to align its responses with distinct definitions, preferences, and expert knowledge—ensuring more accurate, relevant, and tailored answers that are better suited for their business needs.

Custom Instructions are available to Amazon Q in QuickSight Pro Author and Pro Admin users in all supported regions.

To learn more, visit Amazon Q in QuickSight and explore the documentation.

 

​Today, AWS announces the general availability of Custom Instructions for Q&A topics in Amazon Q in QuickSight.
Custom Instructions enables Author Pros to curate Amazon Q’s responses to questions by adding domain-specific knowledge that can’t be captured through a topic’s metadata settings, such as synonyms or semantic types. By providing these metadata descriptions or custom instructions, Authors can guide Amazon Q to align its responses with distinct definitions, preferences, and expert knowledge—ensuring more accurate, relevant, and tailored answers that are better suited for their business needs.
Custom Instructions are available to Amazon Q in QuickSight Pro Author and Pro Admin users in all supported regions.
To learn more, visit Amazon Q in QuickSight and explore the documentation.  

AWS announces the release of AWS IoT Greengrass v2.15, introducing significant updates to both nucleus and nucleus lite core components. AWS IoT Greengrass is an Internet of Things (IoT) edge runtime and cloud service that helps customers build, deploy, and manage device software at the edge. The latest release, version 2.15, strengthens core capabilities with enhanced secret and log management, advancing both security posture and troubleshooting efficiency for IoT applications running at the edge.

The new release also offers updates for AWS IoT Greengrass nucleus lite, a lightweight, open-source edge runtime, specifically designed for resource-constrained devices with minimal footprint (5MB RAM). The new nucleus lite release introduces Docker containers management, expanding capabilities of lightweight IoT deployments and delivering containerized applications support in resource-constrained environments.

AWS IoT Greengrass v2.15 is available in all AWS Regions where AWS IoT Greengrass is offered. To learn more about AWS IoT Greengrass v2.15 and its new features, visit the AWS IoT Greengrass documentation. Follow the Getting Started guide for a quick introduction to AWS IoT Greengrass.

 

​AWS announces the release of AWS IoT Greengrass v2.15, introducing significant updates to both nucleus and nucleus lite core components. AWS IoT Greengrass is an Internet of Things (IoT) edge runtime and cloud service that helps customers build, deploy, and manage device software at the edge. The latest release, version 2.15, strengthens core capabilities with enhanced secret and log management, advancing both security posture and troubleshooting efficiency for IoT applications running at the edge. The new release also offers updates for AWS IoT Greengrass nucleus lite, a lightweight, open-source edge runtime, specifically designed for resource-constrained devices with minimal footprint (5MB RAM). The new nucleus lite release introduces Docker containers management, expanding capabilities of lightweight IoT deployments and delivering containerized applications support in resource-constrained environments. AWS IoT Greengrass v2.15 is available in all AWS Regions where AWS IoT Greengrass is offered. To learn more about AWS IoT Greengrass v2.15 and its new features, visit the AWS IoT Greengrass documentation. Follow the Getting Started guide for a quick introduction to AWS IoT Greengrass.  

AWS is pleased to announce a significant enhancement to the AWS Specialization Programs Badge, which is available now. This enhancement will enable AWS Specialization Partners to showcase badges that display both their specific specialization and its corresponding category, addressing frequent feedback from our partners and customers.

In today’s competitive cloud marketplace, AWS Specializations have become instrumental in partner selection. According to recent Canalys research, 87% of customers consider AWS Specializations among their top three selection criteria, with 60% citing it as their primary factor when choosing an AWS Partner.

The enhanced badges will be prominently featured in partners’ marketing materials, event displays, social media presence, and customer-facing collateral. This update provides several key benefits:

• Improved visibility of specialized expertise
• Enhanced differentiation in the marketplace
• Stronger alignment between partner marketing and validated capabilities

All current AWS Specialization Programs with categories are supported by this enhancement. Partners can access this new feature by logging into Partner Central, navigating to the «Market» tab, and selecting «Badge Manager.»

This update represents our ongoing commitment to helping partners showcase their expertise and connect more effectively with customers.

For more information, visit the AWS Partner Programs webpage.

 

​AWS is pleased to announce a significant enhancement to the AWS Specialization Programs Badge, which is available now. This enhancement will enable AWS Specialization Partners to showcase badges that display both their specific specialization and its corresponding category, addressing frequent feedback from our partners and customers. In today’s competitive cloud marketplace, AWS Specializations have become instrumental in partner selection. According to recent Canalys research, 87% of customers consider AWS Specializations among their top three selection criteria, with 60% citing it as their primary factor when choosing an AWS Partner. The enhanced badges will be prominently featured in partners’ marketing materials, event displays, social media presence, and customer-facing collateral. This update provides several key benefits:

Improved visibility of specialized expertise
Enhanced differentiation in the marketplace
Stronger alignment between partner marketing and validated capabilities

All current AWS Specialization Programs with categories are supported by this enhancement. Partners can access this new feature by logging into Partner Central, navigating to the «Market» tab, and selecting «Badge Manager.» This update represents our ongoing commitment to helping partners showcase their expertise and connect more effectively with customers. For more information, visit the AWS Partner Programs webpage.  

Customers can now create Amazon FSx for NetApp ONTAP file systems in the AWS Asia Pacific (Taipei) Region, providing fully managed shared storage in the cloud with the data access and management capabilities of ONTAP.

Amazon FSx makes it easier and more cost effective to launch, run, and scale feature-rich, high-performance file systems in the cloud. It supports a wide range of workloads with its reliability, security, scalability, and broad set of capabilities. Amazon FSx for NetApp ONTAP provides the first and only complete, fully managed NetApp ONTAP file systems in the cloud. It offers the familiar features, performance, capabilities, and APIs of ONTAP with the agility, scalability, and simplicity of an AWS service.

To learn more about Amazon FSx for NetApp ONTAP, visit our product page, and see the AWS Region Table for complete regional availability information.

 

​Customers can now create Amazon FSx for NetApp ONTAP file systems in the AWS Asia Pacific (Taipei) Region, providing fully managed shared storage in the cloud with the data access and management capabilities of ONTAP. Amazon FSx makes it easier and more cost effective to launch, run, and scale feature-rich, high-performance file systems in the cloud. It supports a wide range of workloads with its reliability, security, scalability, and broad set of capabilities. Amazon FSx for NetApp ONTAP provides the first and only complete, fully managed NetApp ONTAP file systems in the cloud. It offers the familiar features, performance, capabilities, and APIs of ONTAP with the agility, scalability, and simplicity of an AWS service. To learn more about Amazon FSx for NetApp ONTAP, visit our product page, and see the AWS Region Table for complete regional availability information.  

Customers can now create Amazon FSx for OpenZFS file systems in the AWS Asia Pacific (Taipei) Region, providing fully managed shared file storage built on the OpenZFS file system.

Amazon FSx makes it easier and more cost effective to launch, run, and scale feature-rich, high-performance file systems in the cloud. It supports a wide range of workloads with its reliability, security, scalability, and broad set of capabilities. Amazon FSx for OpenZFS provides fully managed, cost-effective, shared file storage powered by the popular OpenZFS file system, and is designed to deliver sub-millisecond latencies and multi-GB/s throughput along with rich ZFS-powered data management capabilities (like snapshots, data cloning, and compression).

To learn more about Amazon FSx for OpenZFS, visit our product page, and see the AWS Region Table for complete regional availability information.

 

​Customers can now create Amazon FSx for OpenZFS file systems in the AWS Asia Pacific (Taipei) Region, providing fully managed shared file storage built on the OpenZFS file system. Amazon FSx makes it easier and more cost effective to launch, run, and scale feature-rich, high-performance file systems in the cloud. It supports a wide range of workloads with its reliability, security, scalability, and broad set of capabilities. Amazon FSx for OpenZFS provides fully managed, cost-effective, shared file storage powered by the popular OpenZFS file system, and is designed to deliver sub-millisecond latencies and multi-GB/s throughput along with rich ZFS-powered data management capabilities (like snapshots, data cloning, and compression). To learn more about Amazon FSx for OpenZFS, visit our product page, and see the AWS Region Table for complete regional availability information.  

Customers can now create Amazon FSx for Windows File Server file systems in the AWS Asia Pacific (Taipei) Region, providing fully managed shared storage built on Windows Server.

Amazon FSx makes it easier and more cost effective to launch, run, and scale feature-rich, high-performance file systems in the cloud. It supports a wide range of workloads with its reliability, security, scalability, and broad set of capabilities. Amazon FSx for Windows File Server provides fully managed, highly reliable file storage built on Windows Server and can be accessed via the industry-standard Server Message Block (SMB) protocol.

To learn more about Amazon FSx for Windows File Server, visit our product page, and see the AWS Region Table for complete regional availability information.

 

​Customers can now create Amazon FSx for Windows File Server file systems in the AWS Asia Pacific (Taipei) Region, providing fully managed shared storage built on Windows Server. Amazon FSx makes it easier and more cost effective to launch, run, and scale feature-rich, high-performance file systems in the cloud. It supports a wide range of workloads with its reliability, security, scalability, and broad set of capabilities. Amazon FSx for Windows File Server provides fully managed, highly reliable file storage built on Windows Server and can be accessed via the industry-standard Server Message Block (SMB) protocol. To learn more about Amazon FSx for Windows File Server, visit our product page, and see the AWS Region Table for complete regional availability information.  

Customers can now create Amazon FSx for Lustre file systems in the AWS Asia Pacific (Taipei) Region, providing fully managed shared storage with the scalability and performance of the popular Lustre file system.

Amazon FSx makes it easier and more cost effective to launch, run, and scale feature-rich, high-performance file systems in the cloud. It supports a wide range of workloads with its reliability, security, scalability, and broad set of capabilities. Amazon FSx for Lustre provides fully managed shared storage built on the world’s most popular high-performance file system, designed for fast processing of workloads such as machine learning, high performance computing (HPC), video processing, financial modeling, and electronic design automation (EDA).

To learn more about Amazon FSx for Lustre, visit our product page, and see the AWS Region Table for complete regional availability information

 

​Customers can now create Amazon FSx for Lustre file systems in the AWS Asia Pacific (Taipei) Region, providing fully managed shared storage with the scalability and performance of the popular Lustre file system. Amazon FSx makes it easier and more cost effective to launch, run, and scale feature-rich, high-performance file systems in the cloud. It supports a wide range of workloads with its reliability, security, scalability, and broad set of capabilities. Amazon FSx for Lustre provides fully managed shared storage built on the world’s most popular high-performance file system, designed for fast processing of workloads such as machine learning, high performance computing (HPC), video processing, financial modeling, and electronic design automation (EDA). To learn more about Amazon FSx for Lustre, visit our product page, and see the AWS Region Table for complete regional availability information  

Today, AWS announces the general availability of Model Context Protocol (MCP) Server for Amazon S3 Tables as a part of AWS MCP Servers. Now, you can use natural language to interact with S3 Tables through your preferred large language model (LLM), eliminating the need to write SQL queries.

With the MCP Server for Amazon S3 Tables, you can safely create, populate, and query S3 Tables with natural language. The MCP Server provides AWS tools, resources, and contextual information that your AI assistants can use to operate on S3 Tables. To get started, install the latest version of AWS MCP Servers with an AI client software like Cline, Claude Code, or Cursor and configure your AWS account and permissions to start operating on S3 Tables.

To learn more about MCP Server for Amazon S3 Tables, read our blog. To download and try out MCP Server for Amazon S3 Tables, visit the aws-labs GitHub repository.

 

​Today, AWS announces the general availability of Model Context Protocol (MCP) Server for Amazon S3 Tables as a part of AWS MCP Servers. Now, you can use natural language to interact with S3 Tables through your preferred large language model (LLM), eliminating the need to write SQL queries. With the MCP Server for Amazon S3 Tables, you can safely create, populate, and query S3 Tables with natural language. The MCP Server provides AWS tools, resources, and contextual information that your AI assistants can use to operate on S3 Tables. To get started, install the latest version of AWS MCP Servers with an AI client software like Cline, Claude Code, or Cursor and configure your AWS account and permissions to start operating on S3 Tables. To learn more about MCP Server for Amazon S3 Tables, read our blog. To download and try out MCP Server for Amazon S3 Tables, visit the aws-labs GitHub repository.  

We are excited to announce the general availability of the Amazon SageMaker HyperPod Command Line Interface (CLI) and Software Development Kit (SDK). These tools make it easier for developers and ML practitioners to build, train, and deploy large-scale AI models on SageMaker HyperPod.

SageMaker HyperPod CLI offers a simple, consistent command-line experience for managing HyperPod clusters and quick experimentation. The SDK offers intuitive programmatic access to HyperPod’s distributed training and inference capabilities and enables developers to have granular control over their workload configurations. With these tools, data scientists and ML engineers can easily launch training jobs, deploy scalable inference endpoints, and monitor cluster performance. Using simple commands, customers can access system logs and HyperPod observability dashboards, enabling them to debug issues and accelerate model development. These new developer interfaces enable customers to build and deploy production generative AI models faster on SageMaker HyperPod.

The HyperPod CLI and SDK are available in all AWS commercial regions where SageMaker HyperPod is supported. To get started with the SageMaker HyperPod CLI and SDK, visit the SageMaker HyperPod Developer Guide. 

 

​We are excited to announce the general availability of the Amazon SageMaker HyperPod Command Line Interface (CLI) and Software Development Kit (SDK). These tools make it easier for developers and ML practitioners to build, train, and deploy large-scale AI models on SageMaker HyperPod. SageMaker HyperPod CLI offers a simple, consistent command-line experience for managing HyperPod clusters and quick experimentation. The SDK offers intuitive programmatic access to HyperPod’s distributed training and inference capabilities and enables developers to have granular control over their workload configurations. With these tools, data scientists and ML engineers can easily launch training jobs, deploy scalable inference endpoints, and monitor cluster performance. Using simple commands, customers can access system logs and HyperPod observability dashboards, enabling them to debug issues and accelerate model development. These new developer interfaces enable customers to build and deploy production generative AI models faster on SageMaker HyperPod. The HyperPod CLI and SDK are available in all AWS commercial regions where SageMaker HyperPod is supported. To get started with the SageMaker HyperPod CLI and SDK, visit the SageMaker HyperPod Developer Guide.   

Today, AWS announced the expansion of 100 Gbps dedicated connections at the AWS Direct Connect location in the STT Kolkata, DC1 data center center near Kolkata, India. You can now establish private, direct network access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones from this location. This is the third AWS Direct Connect location in India to provide 100 Gbps connections with MACsec encryption capabilities.

The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet.

For more information on the over 142 Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect.

 

​Today, AWS announced the expansion of 100 Gbps dedicated connections at the AWS Direct Connect location in the STT Kolkata, DC1 data center center near Kolkata, India. You can now establish private, direct network access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones from this location. This is the third AWS Direct Connect location in India to provide 100 Gbps connections with MACsec encryption capabilities. The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet. For more information on the over 142 Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect.