Amazon announced plans to spend up to $50 billion on new AI and supercomputing capacity for its United States government clients. The company said this will start in 2026 and will add nearly 1.3 gigawatts of power across its Top Secret, Secret and GovCloud regions. Amazon said this will help federal teams work with faster AI systems, more modelling tools and high speed data analysis.
Amazon explained that agencies will gain access to services such as Amazon SageMaker for training, Amazon Bedrock for model deployment and Amazon Nova. The company also said the new sites will support Anthropics Claude models and a range of open weights systems. Amazon added that its Trainium chips and Nvidia technology will run across these facilities to speed up data work.
Experts who work across research and defence are expected to use these tools to turn long tasks into shorter sessions. Amazon said teams that used to wait weeks for simulation can run these sessions within hours. The company added that the same systems can help read large collections of security records fast enough for quicker responses. The update also covers projects such as energy, healthcare and advanced modelling inside federal labs.
Amazon said this plan supports the United States Administration’s AI Action Plan. The company added that its cloud history for public bodies stretches back to 2011 when it launched GovCloud West. Amazon said it later brought in Top Secret East, Secret Region and other secure sites between 2014 and 2025. The group said this long record means agencies can focus on outcomes instead of keeping on site hardware running.
How Does This Relate To The Wider AI Investment Trend?
The Forbes list of top AI commitments shows a wave of billion dollar spending across the United States. The highest figure came from President Donald Trump, who announced OpenAI, SoftBank and Oracle would form a new firm named Stargate. Trump said the companies will invest up to $500 billion into United States AI infrastructure and create around 100,000 jobs.
OpenAI agreed to buy $300 billion in computing power from Oracle, as reported by the Wall Street Journal. People familiar with the plan said Oracle will supply roughly 4.5 gigawatts of power capacity. OpenAI also secured a $100 billion partnership with Nvidia. Nvidia said it will supply at least 10 gigawatts of systems for training.
Anthropic set out a $50 billion build for sites in Texas and New York. The company said this will bring 800 permanent posts and more than 2,000 construction roles. Oracle confirmed a $40 billion purchase of Nvidia chips for an OpenAI site in Texas. Google said it plans to spend $25 billion on United States data centres to support AI work across the next two years.
Other deals continue across cloud and chip partners. OpenAI and Amazon agreed to a $38 billion cloud arrangement over seven years. CoreWeave said its connection to OpenAI grew to $22.4 billion. Oracle confirmed a $20 billion cloud deal with Meta. The Energy Department and AMD struck a $1 billion plan for two AI powered supercomputers that AMD said will serve science, energy and national security work.
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What Are The Top Amazon Deals Listed By Forbes?
Forbes also reflected on Amazon’s big deals so far…
First is this recent £50 billion, of course: Amazon’s AI and supercomputing expansion for United States government clients, adding nearly 1.3 gigawatts of capacity.
£38 billion: OpenAI’s cloud arrangement with Amazon across seven years.
£25 billion: Google’s United States data centre plan that Forbes placed in the top group of cloud and AI investments.
£6.3 billion: Nvidia’s cloud services agreement with CoreWeave, covering use through 2032.
£1 billion: The Energy Department’s partnership with AMD for AI powered supercomputers named Lux and Discovery.
“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.”
