What AWS is — and why it matters for AI
Amazon Web Services is Amazon's cloud computing division: it rents computing power, storage, and software services to businesses over the internet. For most of its history, AWS was best known as the place companies host websites and run databases. Today, it has become something more specific and more consequential — the primary infrastructure layer on which the AI industry's largest bets are being built.
If you've used an AI assistant, there's a reasonable chance the model behind it was trained on AWS hardware, is served through AWS data centers, or reached you through an AWS-managed service called Amazon Bedrock.
The two services you need to know
Amazon Bedrock is AWS's AI model marketplace and managed hosting service. Think of it as a single storefront where a company can access AI models from multiple providers — Anthropic's Claude, OpenAI's GPT models, Hugging Face's open-source models — without buying servers or managing infrastructure. Bedrock also handles the compliance paperwork that regulated industries require, which is a big deal for hospitals, banks, and government agencies.
Amazon SageMaker is AWS's older, more hands-on platform for teams that want to build and fine-tune their own AI models. Hugging Face's tools and model library are deeply integrated here, making it a popular choice for data science teams working with open-source AI.
The Anthropic relationship: AWS as primary AI partner
The most significant AI relationship AWS has built is with Anthropic, the company behind the Claude family of models. What started as a $4 billion investment in late 2023 has grown into one of the largest commercial agreements in tech history: a commitment of over $100 billion to AWS technologies over ten years, securing up to 5 gigawatts of computing capacity for training and running Claude models.
To put that in perspective: a gigawatt is roughly the output of a large nuclear power plant. Anthropic is reserving up to five of those, running on Amazon's custom Trainium chips (purpose-built for AI training), to power the next generation of Claude models.
Amazon has also invested up to $25 billion in Anthropic directly, making it one of Anthropic's largest backers. In return, AWS is Anthropic's primary cloud and training partner — meaning the models that power Claude are predominantly trained on Amazon hardware.
Claude is also available to U.S. government customers through AWS GovCloud, with approval for FedRAMP High and Department of Defense Impact Level 4 and 5 workloads. That means federal agencies handling sensitive but unclassified information — and defense organizations — can use Claude through the same AWS infrastructure they already trust.
OpenAI joins the platform too
AWS isn't exclusive to Anthropic. In a separate deal worth $38 billion over multiple years, OpenAI made AWS the exclusive third-party cloud provider for its Frontier platform. OpenAI's GPT models, Codex, and Managed Agents are now available through Amazon Bedrock, and AWS is building a special "stateful runtime environment" for AI agents — a system that lets AI agents remember what they've done across long, multi-step tasks, rather than starting fresh each time.
This means AWS is now simultaneously hosting the two leading AI model families — Claude and GPT — on the same platform, competing for the same enterprise customers.
Hugging Face: open-source AI on AWS
For teams that prefer open-source models over proprietary ones, AWS has partnered with Hugging Face since 2021. Hugging Face's vast library of open-weight models is accessible through SageMaker and the Bedrock Marketplace. AWS's custom Inferentia2 chips — designed for cost-efficient AI inference (running models, as opposed to training them) — are supported by Hugging Face's deployment tools, giving enterprises a cheaper alternative to GPU-based serving.
When the infrastructure became a target
In early 2026, the strategic importance of AWS infrastructure became starkly visible. Iranian drone strikes damaged at least three AWS data centers in Bahrain and the UAE, disrupting cloud services across the region. The attacks coincided with revelations that AI models running on AWS infrastructure — including Anthropic's Claude — were being used in U.S. military targeting operations. It was the first known instance of commercial cloud infrastructure being physically attacked during active armed conflict, underscoring how deeply AI and cloud computing have become entangled with geopolitical risk.
Where AWS fits in the bigger picture
AWS is not an AI lab — it doesn't build frontier models itself. Its role is to be the ground on which those models are trained, hosted, and delivered to the world. As AI models have grown larger and more power-hungry, that role has become harder to replicate and more strategically valuable. The multi-billion-dollar deals flowing to AWS from Anthropic, OpenAI, and others reflect a simple reality: building and running frontier AI at scale requires infrastructure that only a handful of organizations on Earth can provide.
