Amazon Web Services (AWS) and OpenAI have signed a strategic seven-year agreement worth $38 billion. The collaboration aims to significantly expand computing power for the development of artificial intelligence.
This is reported by Finway
OpenAI to Gain Access to AWS Capabilities
Under the agreement, OpenAI will gain direct access to the latest AWS clusters, including Amazon EC2 UltraServers equipped with hundreds of thousands of modern NVIDIA graphics processors. In the future, the infrastructure will be able to scale to tens of millions of processors to ensure the effective operation of generative artificial intelligence. All computing capabilities are planned to be deployed by the end of 2026, with potential further expansion in 2027.
“Scaling advanced AI models requires colossal and reliable computing. Our partnership with AWS strengthens the broad ecosystem that will enable the next era of artificial intelligence development and make it accessible to everyone.”
New Opportunities for Automation and AI Development
The infrastructure emerging from this agreement is characterized by high efficiency and minimal latency between systems. This will allow OpenAI not only to train next-generation models but also to process requests promptly, including in the ChatGPT service.
The current partnership is a continuation of previous collaboration: earlier, OpenAI Foundation models became available on the Amazon Bedrock platform. Among AWS clients already using these models for automation, coding, and scientific research are Peloton, Thomson Reuters, Comscore, and Verana Health.
OpenAI is demonstrating rapid growth: according to Reuters, the company is considering going public, and its potential valuation could reach $1 trillion. Additionally, Sam Altman reported that OpenAI’s annual revenue significantly exceeds $13 billion.
At the same time, Amazon is actively implementing automation in its own processes. By 2027, the company plans to replace over 600,000 workers with robots to automate 75% of operations and create “robotic warehouses of the future.” This strategy will help reduce costs and increase business efficiency.