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Home Cloud Computing

AWS Expands AI and Supercomputing for US Government

Sam Marten – Tech & AI Writer by Sam Marten – Tech & AI Writer
November 25, 2025
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Introduction to AWS Expansion

The US government is set to gain access to new AI and high-performance computing tools as AWS prepares a major expansion of its secure cloud systems. The company plans to invest up to $50 billion starting in 2026 to build out AI and supercomputing capacity in its Top Secret, Secret, and GovCloud regions.

What the Expansion Entails

The buildout will add nearly 1.3 gigawatts of power for advanced compute workloads, supported by new data centres that use updated chips and networking hardware. AWS says the investment will give federal agencies a wider set of AI tools and speed up the work they already do with large datasets. Agencies will also be able to use hardware from AWS and Nvidia to train models, run predictions, and support specialised research.

Benefits of the Expansion

“Our investment in purpose-built government AI and cloud infrastructure will fundamentally transform how federal agencies use supercomputing,” AWS CEO Matt Garman said. “We’re giving agencies expanded access to advanced AI capabilities that will enable them to accelerate important missions from cybersecurity to drug discovery.” The investment removes the technology barriers that have held government back and further positions America to lead in the AI era.

Amazon’s Cloud Infrastructure Expansion

Amazon has been expanding its cloud infrastructure as demand for AI systems grows. CEO Andy Jassy noted in last quarter’s earnings call that Amazon added 3.8 gigawatts of data-centre capacity in the past year, which the company says outpaced its competitors. Under the new plan, federal customers will gain access to AWS’s full range of AI services. These include Amazon SageMaker for model development, Amazon Bedrock for model and agent deployment, Anthropic Claude, Amazon Nova, AWS Trainium chips, and Nvidia’s AI hardware.

Impact on Research and Decision-Making

AWS says the added capacity should help agencies speed up research and decision-making. For example, teams studying global security issues could process decades of data in real time and spot patterns that once took months to review. Defence and intelligence groups could also automate parts of their analysis by running satellite images, sensor data, and historical records through large-scale computing systems.

Alignment with Federal Efforts

The company says the investment aligns with the White House’s AI Action Plan and other federal efforts to build secure domestic AI infrastructure. AWS now supports more than 11,000 government customers since launching GovCloud in 2011.

Industry Context

The wider tech sector has also been pouring money into AI infrastructure. Companies like OpenAI, Alphabet, and Microsoft continue to spend heavily on the compute power needed to train and run large models. One gigawatt of power – the scale AWS is adding – is roughly equal to the average electricity use of about 750,000 US homes.

AWS’ Government-Focused Cloud

AWS’ government-focused cloud has grown through several milestones over the past decade. It introduced GovCloud (US-West) in 2011 to meet federal security rules, launched the first air-gapped commercial cloud for classified workloads in 2014, and became the first cloud provider cleared to offer unclassified, secret, and top-secret regions in 2017.

Future Plans

Amazon is also planning another large expansion in Indiana. The company expects to invest about $15 billion to build new data centre campuses that support AI and cloud systems, in addition to the $11 billion announced last year in St. Joseph County. The new sites will add 2.4 gigawatts of capacity and bring the same type of advanced infrastructure used in Project Rainier, which Amazon describes as the world’s largest AI supercomputer.

Job Creation

The Indiana project is expected to create more than 1,100 technical jobs in data centre operations, networking, engineering, and security. It will also support thousands of roles in the supply chain, including construction, electrical work, and fibre installation.

Conclusion

In conclusion, AWS’ expansion of its secure cloud systems is set to revolutionize the way federal agencies use supercomputing and AI. With a planned investment of up to $50 billion, AWS is poised to provide federal agencies with a wider set of AI tools and speed up their work with large datasets. This expansion aligns with the White House’s AI Action Plan and is expected to create thousands of jobs in the tech industry.

FAQs

Q: What is the purpose of AWS’ expansion of its secure cloud systems?
A: The purpose is to provide federal agencies with a wider set of AI tools and speed up their work with large datasets.
Q: How much is AWS planning to invest in the expansion?
A: AWS is planning to invest up to $50 billion starting in 2026.
Q: What will the expansion add in terms of power for advanced compute workloads?
A: The expansion will add nearly 1.3 gigawatts of power for advanced compute workloads.
Q: What kind of jobs will the expansion create?
A: The expansion is expected to create over 1,100 technical jobs in data centre operations, networking, engineering, and security, as well as thousands of roles in the supply chain.

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Sam Marten – Tech & AI Writer

Sam Marten – Tech & AI Writer

Sam Marten is a skilled technology writer with a strong focus on artificial intelligence, emerging tech trends, and digital innovation. With years of experience in tech journalism, he has written in-depth articles for leading tech blogs and publications, breaking down complex AI concepts into engaging and accessible content. His expertise includes machine learning, automation, cybersecurity, and the impact of AI on various industries. Passionate about exploring the future of technology, Sam stays up to date with the latest advancements, providing insightful analysis and practical insights for tech enthusiasts and professionals alike. Beyond writing, he enjoys testing AI-powered tools, reviewing new software, and discussing the ethical implications of artificial intelligence in modern society.

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