Category: Defense

Digital engineering fundamentally relies on integrating data across model structures by using a digital thread – an underlying framework for integrating data from across traditionally siloed functions that create a consolidated view of the system’s data throughout its lifecycle. The cloud is integral to digital engineering by supporting collaboration across geographically dispersed organizations, automating workflows for data connectivity and trade space analysis in a reliable, scalable, and cost-effective manner. This post describes how Amazon Web Services (AWS) Partner General Dynamics Information Technology (GDIT) has used digital engineering in combination with secure and scalable AWS services, to deliver secure IT systems to a large defense program.

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.

Last month, Amazon Web Services (AWS) hosted its fourth Gov2Gov event: Responsible AI Implementation at the Planet Word Museum in Washington, DC. The event convened senior public sector leaders and decision-makers from across the US Government (USG) to hear from White House officials and chief AI officers from federal government agencies. Read this blog post for a recap of the event and the main takeaways.

Amazon Web Services (AWS) hosted its first Federal Executive Forum at Amazon HQ2 in National Landing in February, 2024. Forward-thinking leaders from across the US federal government working in civilian, financials, defense, and national security gathered to discuss emerging technologies, and share best practices and ways to use the cloud to advance their missions.

Amazon Web Services is proud to join senior decision-makers and thought leaders from around the world at the Munich Security Conference (MSC) from February 16-18. At MSC 2024, we’re restating our commitment to protecting the defense and national security of the US, its closest allies, and other like-minded countries around the world.

When it comes to messaging, government users often default to apps already loaded on their phones—whether their devices are personal or government-issued and whether the apps are approved or not. This blog post will explain why consumer messaging apps are a bad choice and why Amazon Web Services (AWS) Wickr is an appropriate solution for US government customers.

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.

Jeff Kratz, vice president of worldwide public sector channels and alliances at Amazon Web Services (AWS), has attended 11 re:Invent conferences and continues to be awestruck by the innovative ideas and value that AWS Partners bring to customers. For those who were unable to attend or watch virtually, Jeff summarizes some of re:Invent 2023’s key partner highlights in this blog post.

Amazon Web Services (AWS) developed the Data Fabric Security (DFS) on AWS solution to support the identity and access needs of a multi-organization system. With DFS on AWS, federal customers can accelerate joint interoperability, modernization, and data-driven decision making in the cloud by removing barriers that prevent systems and users from communicating while still strengthening security via Zero Trust principles.