Tag: AWS GovCloud (US)

The Amazon Web Services (AWS) Modular Data Center (MDC) is a service that enables rapid deployment of AWS managed data centers for running location- or latency-sensitive applications in locations with limited infrastructure. It reduces deployment time in remote areas and supports up to five racks of AWS Outposts or AWS Snow Family devices. In this post, we guide you through the end-to-end process of deploying the MDC at your site.

How can technology leaders rapidly deliver responsible artificial intelligence-based innovation while aligning with the broad spectrum of strict regulatory requirements? The answer is simple: Amazon Web Services (AWS) GovCloud (US) provides the technology that underpins a solid foundation for securely and compliantly building and deploying AI capabilities. Read this post to learn more.

Peraton is a mission capability integrator and delivers enterprise IT around the world. They are also an Amazon Web Services (AWS) Premier Tier Services Partner with competencies in government, DevOps, and migration. Peraton’s IT infrastructure and technology strategy are designed to support the delivery of mission-critical services and solutions to its customers at a global scale. In this post, we explore how Peraton used AWS to migrate and build out a virtual data center in AWS GovCloud (US) Regions within a six-month time frame with an advanced and secure end-state architecture.

Anduril Industries, a defense technology company, has launched Alfred, an internal enterprise search chatbot powered by cutting-edge Retrieval-Augmented Generation (RAG) architecture. By using Amazon Web Services (AWS) services, such as Amazon SageMaker, Amazon Kendra, and Amazon DynamoDB, on the secure AWS GovCloud (US) Regions, Anduril has built a robust and scalable data infrastructure that can support Alfred’s growing knowledge needs.

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.

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.

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.