Amazon Web Services Commits $50 Billion to Build AI Infrastructure for U.S. Government

AWS is spending $50B build AI infrastructure for the US government

Amazon Web Services is making a sizable new investment in infrastructure designed to boost AI capabilities for U.S. government organizations. AWS announced Monday it is investing $50 billion to build AI "high-performance computing infrastructure" purposefully built for the U.S. government. The buildout is meant to expand federal government agencies' access to AWS AI services. The project will add 1.3 gigawatts of compute and will expand government access to AWS products, including Amazon SageMaker AI, model customization, Amazon Bedrock, model deployment, and Anthropic's Claude chatbot, among others, according to the company. AWS expects to break ground on these data center projects in 2026. "Our investment in purpose-built government AI and cloud infrastructure will fundamentally transform how federal agencies leverage supercomputing," AWS CEO Matt Garman said in the company's press release. "We're giving agencies expanded access to advanced AI capabilities that will enable them to accelerate critical missions from cybersecurity to drug discovery. This investment removes the technology barriers that have held government back and further positions America to lead in the AI era." AWS is no stranger to working with the U.S. government. The entity began building cloud infrastructure for the U.S. government back in 2011. Three years later it launched AWS Top Secret-East, the first air-gapped commercial cloud to work with classified workloads. AWS introduced AWS Secret Region in 2017, which has accredited access to all levels of security classification. Tech giants have increasingly pitched their AI services to the U.S. government over the past year. OpenAI launched a version of ChatGPT designed exclusively for federal U.S. government agencies in January. OpenAI announced a deal in August that gave government agencies access to the enterprise tier of ChatGPT for just $1 a year. That same month, Anthropic announced it was also giving the U.S. Government access to the enterprise tiers of its Claude chatbot for $1. Google announced "Google for Government" for even less, charging 47 cents for the first year, shortly after.

Amazon to spend up to $50 billion on AI infrastructure for U.S. government

Amazon said Monday it will invest as much as $50 billion to expand its capacity to provide artificial intelligence and high-performance computing capabilities for its cloud unit's U.S. government customers. The project is slated to break ground in 2026 and will add nearly 1.3 gigawatts of capacity through new data centers designed for federal agencies, the company said in a blog. As part of the investment, agencies will have access to Amazon Web Services' AI tools, Anthropic's Claude family of models and Nvidia chips as well as Amazon's custom Trainium AI chips. The move follows similar announcements from Anthropic and Meta to expand AI data centers in the U.S. Oracle, OpenAI and SoftBank announced their Stargate joint venture in January, which aims to invest up to $500 billion in AI infrastructure in the U.S. over the next four years. AWS said the project will enable agencies to develop custom AI solutions, optimize datasets and "enhance workforce productivity." AWS serves more than 11,000 government agencies, Amazon said Monday. "This investment removes the technology barriers that have held government back and further positions America to lead in the AI era," AWS CEO Matt Garman said in a statement. Tech companies have earmarked billions of dollars in a race to build out enough capacity to power AI services. Amazon in October boosted its forecast for capital expenditures this year, saying it now expects to spend $125 billion in 2025, up from an earlier estimate of $118 billion.

Amazon to invest $50B to expand AI infrastructure for U.S. government agencies

Amazon plans to invest up to $50 billion to expand AI and advanced computing infrastructure for U.S. government agencies, the company announced Monday. The investment, set to break ground in 2026, will add nearly 1.3 gigawatts of data center capacity to the Amazon Web Services regions Top Secret, AWS Secret, and AWS GovCloud (US) -- locations specifically designed for classified and sensitive workloads. Amazon said federal agencies will gain access to AI tools such as Amazon SageMaker for custom model training and Amazon Bedrock for deploying AI models and building agents. The centers will be equipped with AWS's own Trainium AI chips and NVIDIA hardware. The intent is to accelerate discovery and decision-making across government missions, which could mean faster modeling for scientific research, quicker threat analysis for intelligence agencies, or more accurate forecasting for disaster response and climate modeling, according to Amazon. "Our investment in purpose-built government AI and cloud infrastructure will fundamentally transform how federal agencies leverage supercomputing," AWS CEO Matt Garman said in a statement. "This investment removes the technology barriers that have held government back and further positions America to lead in the AI era." Amazon first launched government-specific cloud infrastructure in 2011. Today the company says it supports more than 11,000 government agencies.

Amazon announces $50B investment to expand AI and supercomputing capabilities for US government - SiliconANGLE

Amazon announces $50B investment to expand AI and supercomputing capabilities for US government Amazon.com Inc. today announced it plans to invest up to $50 billion to expand artificial intelligence and high-performance supercomputing infrastructure for the United States government. The massive investment will add nearly 1.3 gigawatts of AI and supercomputing power across Amazon Web Services' Top Secret, AWS Secret and AWS GovCloud through the construction and expansion of data centers with advanced compute and networking capabilities. "We're at such a critical point in AI, where it's imperative for our country and the national security to have a great industry-leading infrastructure to drive AI and HPC research inside the government," AWS Chief Executive Matt Garman said on theCUBE, SiliconANGLE Media's livestreaming studio. AWS Secret and Top Secret are part of the company's highly secure cloud capabilities for government agencies. These infrastructures provide secure and scalable cloud services for U.S. intelligence communities, the Department of Defense, federal agencies and defense industrial companies. Both maintain the accreditations needed to process highly sensitive classifications and maintain security compliance for those roles. Amazon said the investment is aimed at supporting U.S. government priorities outlined in the recent AI Action Plan, which promotes the development of AI infrastructure and facilitates increased access to energy. Under the same plan, federal initiatives are being implemented to provide researchers with more compute infrastructure and technical resources to support U.S. dominance in the AI model race. Transformation in the public sector depends heavily on how governments and cloud providers align, especially in AI policy and energy availability. Earlier this year, Shannon Kellogg, Amazon's vice president of public policy for the Americas, stated that AWS has been making strategic investments in regions like North Carolina and Pennsylvania to capitalize on regulatory support and access to power. The company committed about $30 billion across both states. Through the company's expanded government AI and HPC infrastructure investments, federal agencies will gain access to AWS' variety of AI services, including SageMaker AI for model training and customization and Bedrock for model and agent deployment. Advanced AI models such as Amazon Nova and Anthropic PBC's Claude, along with leading open-weight foundation models, will be available alongside AWS Trainium AI chips and Nvidia Corp.'s AI infrastructure. Garnman said that using this infrastructure, federal customers and the supporting industrial base will be able to process massive datasets of global security data across hundreds of variables in record time. The availability of advanced computing will allow the acceleration of programs related to defense and intelligence workflows, reducing what traditionally takes weeks of manual analysis to just hours. Government-supported industry missions, from national security to scientific research and innovation, will also benefit. This includes autonomous systems for cybersecurity, energy innovation and healthcare research. "AI is going to help the government slim down, reduce costs and provide better service to our citizens," added Garman. "So, I think it's a win."

Amazon pledges up to $50 billion to expand AI, supercomputing for US government

The project, expected to break ground in 2026, will add nearly 1.3 gigawatts of new AI and high-performance computing capacity across AWS Top Secret, AWS Secret and AWS GovCloud regions through new data centers equipped with advanced compute and networking systems. Amazon said on Monday it would invest up to $50 billion to expand artificial intelligence and supercomputing capacity for US government customers, in one of the largest cloud infrastructure commitments targeted at the public sector. The project, expected to break ground in 2026, will add nearly 1.3 gigawatts of new AI and high-performance computing capacity across AWS Top Secret, AWS Secret and AWS GovCloud regions through new data centers equipped with advanced compute and networking systems. One gigawatt of computing power is roughly enough to power about 750,000 US households on average. "This investment removes the technology barriers that have held government back," Amazon Web Services CEO Matt Garman said. AWS is already a major cloud provider to the US government, serving more than 11,000 government agencies. Tech companies, including OpenAI, Alphabet and Microsoft, are pouring billions of dollars to build out AI infrastructure, boosting demand for computing power required to support the services. Amazon's initiative aims to provide federal agencies with enhanced access to a comprehensive suite of AWS AI services. These include Amazon SageMaker for model training and customization, Amazon Bedrock for deploying AI models and agents and foundational models such as Amazon Nova and Anthropic Claude.

Amazon Investing $50 Billion in Government AI Infrastructure Efforts | PYMNTS.com

By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions. The project, announced Monday (Nov. 24) will see Amazon Web Services (AWS) invest at least $50 billion as it works to build and deploy what it said is the first-ever artificial intelligence (AI) and high-performance computing (HPC) purpose-built infrastructure for the U.S. government. This investment, Amazon said in a news release, is aimed at adding close to 1.3 gigawatts of compute capacity across AWS Top Secret, AWS Secret, and AWS GovCloud (US) Regions "across all classification levels." It also expands access to AWS's infrastructure and AI services to help government agencies "advance America's AI leadership," the release added. "Our investment in purpose-built government AI and cloud infrastructure will fundamentally transform how federal agencies leverage supercomputing," said AWS CEO Matt Garman. "We're giving agencies expanded access to advanced AI capabilities that will enable them to accelerate critical missions from cybersecurity to drug discovery. This investment removes the technology barriers that have held government back and further positions America to lead in the AI era." The release argued this investment underlines the importance of AI and supercomputing in upholding technological superiority, protecting critical infrastructure, and promoting industrial innovation. "Federal customers and the supporting industrial base share a vision of AI and HPC convergence," the company said. "This includes orchestrating expert AI models, agents, and natural language interfaces to enable researchers and engineers to explore complex problems through conversational interaction." That marks a shift from traditional HPC workflows to "AI-accelerated discovery," in which scientists can specify challenges and get back AI-driven recommendations supported "by high-fidelity simulations and analysis," the release continued. In other Amazon AI news, PYMNTS wrote last week about the company's Vulcan robot as an example of the way physical AI is moving from research to frontline operations. "Earlier robots followed fixed commands and worked only in predictable environments, struggling with the unpredictability found in everyday operations such as shifting layouts, varying item shapes, mixed lighting, and human movement," that report added. "That is beginning to change as research groups show how simulation, digital twins and multimodal learning pipelines enable robots to learn adaptive behaviors and carry those behaviors into real facilities with minimal retraining."

Amazon pledges up to US$50 billion to expand AI, supercomputing for U.S. government

Amazon.com said on Monday it would invest up to US$50 billion to expand AI and supercomputing capabilities for Amazon Web Services U.S. government customers, in one of the largest cloud infrastructure commitments targeted at the public sector. The project, expected to break ground in 2026, will add nearly 1.3 gigawatts of artificial intelligence and high-performance computing capacity across AWS Top Secret, AWS Secret and AWS GovCloud regions by building data centers equipped with advanced compute and networking technologies. AWS cloud regions for U.S. government are based on increasing levels of data sensitivity. The cloud unit currently serves more than 11,000 U.S. government agencies. "While Amazon still leads the cloud market, it has lost ground on AI-related cloud growth as Google and Oracle speed up, making large-scale infrastructure commitments necessary strategies," said Emarketer analyst Jacob Bourne. Tech companies, including OpenAI, Alphabet GOOGL.O and Microsoft MSFT.O, are pouring billions of dollars to develop AI infrastructure, boosting demand for computing power required to support the services. One gigawatt of computing power is roughly enough to power about 750,000 U.S. households on average. "This investment removes the technology barriers that have held government back," AWS Chief Executive Matt Garman said. Amazon did not disclose the timeline for the spending. Under the latest initiative, federal agencies will gain access to AWS' comprehensive suite of AI services, including Amazon SageMaker for model training and customization, Amazon Bedrock for deploying models and agents, as well as foundation models such as Amazon Nova and Anthropic Claude. The federal government seeks to develop tailored AI solutions and drive cost-savings by leveraging AWS' dedicated and expanded capacity. The U.S. is in an AI arms race with China and will significantly increase its AI compute capacity to maintain its lead, said D.A. Davidson analyst Gil Luria. The White House did not immediately respond to a Reuters request for comment.

Amazon commits $50 billion to expand government AI capacity; shares up By Investing.com

Investing.com -- Amazon (NASDAQ:AMZN) Web Services (AWS) announced plans to invest up to $50 billion to expand artificial intelligence (AI) and high-performance computing (HPC) infrastructure for U.S. government agencies on Monday. The multiyear initiative represents one of the company's largest federal cloud expansions and comes as government demand for secure AI capabilities continues to grow. Amazon shares ticked up 2% in afternoon trade on Monday following the announcement. The investment will support the development of approximately 1.3 gigawatts of new compute capacity across AWS Top Secret, AWS Secret, and AWS GovCloud (US) Regions. According to the company, this will be the first purpose-built AI and HPC infrastructure designed specifically for U.S. government workloads across all classification levels. AWS said the new data centers are expected to break ground in 2026 and will incorporate advanced compute and networking technologies. The facilities will be constructed to handle large-scale model training, complex analytics, and other data-intensive operations that federal agencies are increasingly adopting. As part of the expansion, government customers will gain access to a broader suite of AWS AI services, including Amazon SageMaker for model training and customization, Amazon Bedrock for deploying foundation models, and options spanning Amazon Nova, Anthropic Claude, and leading open-weights models. The company's Trainium chips and NVIDIA-based systems will also be available across regions. AWS said these capabilities are intended to support agencies in developing custom AI tools, improving data processing workflows, and enhancing employee productivity. Federal customers currently use AWS infrastructure for missions ranging from national security to public services, and the company noted that demand for more scalable AI environments has accelerated over the past two years. The initiative also expands the availability of AWS's secure cloud environments, which are designed to meet federal compliance and security requirements. Access to these regions allows agencies to run classified and unclassified workloads while maintaining data isolation and regulatory controls. Amazon said the investment will be available to both existing and future U.S. government clients, though specific contract values and agency commitments were not disclosed. The company also did not provide a timeline for when the new capacity will be fully operational.

Amazon to Invest $50 Billion Building Data Centers to Support U.S. Government

Amazon.com said it will invest $50 billion to expand artificial intelligence and high-performance computing capabilities for its cloud business' U.S. government customers. The investment will add nearly 1.3 gigawatts of capacity through the build-out of data centers with advanced compute and networking technologies, enabling government agencies to accelerate discovery and decision-making, the company said Monday. With the investment, government customers across Amazon Web Services will gain access to a broad set of AI tools, as well as hardware from AWS and Nvidia. The company said this access will help customers build their own AI systems, more easily handle large amounts of data and increase efficiencies. "Our investment in purpose-built government AI and cloud infrastructure will fundamentally transform how federal agencies leverage supercomputing," AWS Chief Execuitve Matt Garman said. "We're giving agencies expanded access to advanced AI capabilities that will enable them to accelerate critical missions from cybersecurity to drug discovery." Amazon has sought to bolster its standings within the fast-moving AI race by rapidly adding to its cloud-computing infrastructure. Chief Executive Andy Jassy said last month during the company's third-quarter earnings call that Amazon added 3.8 gigawatts of data-center capacity over the past 12 months--a vast number of power for AI chips that the company said was more than any of its rivals over that period. Looking forward, the company isn't putting on the brakes. Chief Financial Officer Brian Olsavsky said last month that capital spending would come in at around $34.2 billion in the current quarter and reach $125 billion this year before increasing in 2026.