Category: AWS GovCloud (US)

In this post, we show you how you can push or pull your security telemetry data to the National Cybersecurity Protection System (NCPS) Cloud Log Aggregation Warehouse (CLAW) using Amazon Web Services (AWS) Simple Storage Service (Amazon S3) or third-party solutions.

Numerous US government agencies operate missions outside of the United States. However, they often encounter challenges with limited network bandwidth and unreliable connections from these overseas locations, making it difficult to efficiently use workloads deployed on US soil. To enhance the customer experience and ensure secure access to these workloads, the overseas postings are now exploring hybrid distributed solutions that run closer to the edge. This post delves into the details of these solutions and their potential benefits for federal agencies.

Government agencies are increasingly using large language models (LLMs) powered by generative artificial intelligence (AI) to extract valuable insights from their data in the Amazon Web Services (AWS) GovCloud (US) Regions. In this guide, we walk you through the process of adapting LLMs to specific domains with parameter efficient fine-tuning techniques made accessible through Amazon SageMaker integrations with Hugging Face.

Amazon SageMaker is a fully managed machine learning (ML) service that provides various capabilities, including Jupyter Notebook instances. While RStudio, a popular integrated development environment (IDE) for R, is available as a managed service in Amazon Web Services (AWS) commercial Regions, it’s currently not offered in AWS GovCloud (US) Regions. Read this post, however, to learn how you can use SageMaker notebook instances with the R kernel to perform data analytics tasks in AWS GovCloud (US) Regions.

Amazon Web Services (AWS) customers, technology leaders, and government agency CIOs continually balance risk and reward to accomplish many things by using AWS GovCloud (US). They work to transform citizen experiences, save taxpayers money, support sustainable growth, expand market presence, modernize legacy systems, increase security, drive efficiencies, strengthen brand equity, and reduce environmental impact.

Government agencies are increasingly using large language models (LLMs) powered by generative artificial intelligence (AI) to extract valuable insights from their data in the Amazon Web Services (AWS) GovCloud (US) Regions. In this guide, we walk you through the process of hosting LLMs on Amazon Elastic Compute Cloud (Amazon EC2) instances, using the Hugging Face Text Generation Inference (TGI) Container (TGI) for serving custom LLMs.

AWS GovCloud (US) was architected to have isolation (both physically and logically) from other AWS partitions for compliance. For this reason, AWS services, used to privately interconnect virtual private cloud (VPC) hosted resources within the same partition like AWS PrivateLink, Amazon Virtual Private Cloud (Amazon VPC) peering, or AWS Transit Gateway peering, cannot span from AWS GovCloud (US) to commercial Regions natively by design. In this post, we will highlight four connectivity patterns customers can use to interconnect VPC hosted systems cross partition.

The US Air Force (USAF) is responsible for more than 5,400 aircraft with an average age of 28 years. Read this blog post to learn how USAF employs predictive maintenance solutions, powered by Amazon Web Services (AWS), to predict when aircraft need to be grounded for repairs or updates, which helps maintain mission readiness while lowering maintenance costs.

Justice and public safety agencies and their solution providers are building highly available, resilient, and secure applications on AWS at a rapid pace. As these solutions are built, AWS’s innovative features and security controls can help customers comply with the latest Federal Bureau of Investigation (FBI) Criminal Justice Information Services (CJIS) Security Policy updates, and align with CJIS compliance not only in AWS GovCloud (US), but also in AWS (US) Commercial regions. Customers can confidently deploy CJIS workloads in either AWS (US) Region, while maintaining access to simple and powerful cloud native tools to manage the full lifecycle of sensitive data.

Many public sector customers are interested in building secure, cost-effective, reliable, and highly performant applications. Technologies like containerization and serverless help customers migrate and modernize their applications. In this blog post, learn how public sector customers use offerings from AWS like AWS Lambda, Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Elastic Container Service (Amazon ECS) to build modern applications supporting diverse use cases, including those driven by machine learning (ML) and generative artificial intelligence (AI). If you want to learn more on this topic, please register to attend the webinar series, Build Modern Applications on AWS.