Nearly six years ago Walmart sent 500 shelf-scanning robots home after concluding that workers picking online orders could see the
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July 20, 2026
Amazon Web Services will become a central hub for OpenAI’s expanding compute needs. Under the deal, AWS will provide cloud infrastructure to run and scale OpenAI’s most advanced AI workloads, beginning immediately and extending over the next seven years.
The arrangement gives OpenAI access to hundreds of thousands of Nvidia GPUs hosted on AWS, with room to expand into millions of CPUs by 2027. The goal is to ensure the performance and reliability required to operate agentic AI systems—tools capable of autonomous reasoning, problem-solving, and collaboration across tasks.
AWS CEO Matt Garman called the agreement a validation of the company’s ability to deliver large-scale, low-latency infrastructure that can keep up with OpenAI’s pace of innovation. “AWS is uniquely positioned to support OpenAI’s vast AI workloads,” he said, citing the immediate availability of its optimized compute network.
For Amazon, this deal reinforces its strategy to be the foundational provider of choice for companies building generative and agentic AI.
OpenAI CEO Sam Altman described the partnership as critical to “scaling frontier AI,” noting that massive, reliable compute power is essential to advancing the next wave of models. The infrastructure will use AWS’s EC2 UltraServers, which cluster Nvidia GB200 and GB300 GPUs on a shared network to reduce latency and improve coordination across large-scale systems.
The technical design is not just about speed. It reflects a broader ambition: to support workloads that evolve dynamically, allowing OpenAI to experiment, retrain, and deploy increasingly complex systems without disrupting performance.
The agreement also builds on OpenAI’s presence within Amazon’s Bedrock platform, where select OpenAI foundation models are available to developers. The arrangement is notable given that Bedrock already hosts competing AI systems such as Anthropic’s Claude and Amazon’s own Titan family of models.
The OpenAI partnership is only the latest example of Amazon’s deepening commitment to AI. In 2024, the company invested a total of $8 billion in Anthropic, making it one of the startup’s largest outside investors. Anthropic named AWS as its primary cloud provider and training partner, using Amazon’s Trainium and Inferentia chips to develop future generations of foundation models.
Earlier this year, Amazon and Nvidia jointly introduced new AI-powered tools designed to improve e-commerce experiences. These include automatic content optimization for product listings and features that help fashion shoppers find personalized size recommendations. AWS has also integrated Nvidia’s latest Blackwell GPU platform to accelerate large language model training and inference at lower costs.
Each of these initiatives points to a consistent theme. Amazon wants to own the infrastructure layer of the AI revolution—providing the compute, chips, and tools that power the world’s most demanding AI workloads.
The partnership also places Amazon in more direct competition with Microsoft, which has long served as OpenAI’s exclusive cloud partner through Azure. While the companies have not announced any changes to that arrangement, the scale of this AWS deal suggests a diversification of OpenAI’s infrastructure strategy.
By expanding its reliance beyond Azure, OpenAI gains additional compute capacity and redundancy, while Amazon gains prestige and a stronger foothold in the AI platform ecosystem. Analysts say the deal could reshape the balance of power in enterprise AI, influencing which cloud providers become the default partners for next-generation workloads.
For Amazon, the move underscores an effort to ensure that no single competitor dominates access to AI infrastructure. For OpenAI, it secures the massive processing resources required to keep pace with the growing complexity of large models and agentic systems.
While the partnership centers on infrastructure, its impact will likely extend into retail, logistics, and customer experience. Amazon’s long-term goal is to infuse AI into every layer of its operations—from product search and recommendation to supply chain optimization and content creation.
The same technology that powers OpenAI’s next models could one day enhance the algorithms that drive Amazon’s marketplace and fulfillment networks. By deepening its connection to foundational AI development, Amazon is effectively building the engine that could define the future of both cloud computing and commerce.
The $38 billion agreement represents one of the largest infrastructure partnerships in AI history. It positions Amazon not only as a service provider but as an essential collaborator in the evolution of artificial intelligence itself.
As OpenAI continues to develop more capable models, and as the boundaries between AI research and commercial application blur, Amazon’s role in the ecosystem becomes clearer. The company is not merely reacting to the AI boom—it is helping to build the framework that will sustain it.
In this sense, the partnership is less about one company powering another and more about two forces aligning to shape how intelligence, at scale, will serve industries, businesses, and everyday life in the years ahead.