Snowflake has announced a collaboration with AWS to accelerate enterprise adoption of agentic AI, helping joint customers worldwide build and deploy AI faster and more securely. As part of the expanded collaboration, Snowflake is making a $6 billion multi-year infrastructure commitment to AWS, its largest to date, reflecting the accelerating enterprise demand for AI and data workloads running on AWS.
Snowflake was founded on AWS eleven years ago, and that foundation has grown into one of the broadest and deepest collaborations in enterprise software. The majority of Snowflake’s customers run on AWS today, with AWS recognizing Snowflake as a leading partner driving global customer adoption.The latest agreement builds on this momentum with deeper product integrations across generative AI and agentic AI, expanded go-to-market through AWS Marketplace, and joint investments in customer success programs, workload migrations, and strategic industry solutions designed to help enterprises move from AI experimentation to production-scale outcomes.
“AI has generated enormous excitement, but for enterprises, the real challenge and opportunity is turning intelligence into action,” said Sridhar Ramaswamy, CEO of Snowflake. “We are moving into the era of the agentic enterprise, where AI systems don’t just answer questions, but help organizations reason over trusted data, coordinate workflows, and drive real business outcomes. With AWS, we are making it easier for enterprises to bring AI directly to governed data, so they can move faster, operate with greater clarity, and create measurable impact at scale.”
“Enterprises are rapidly moving from experimenting with AI to putting intelligent agents to work that drive real business outcomes,” said Matt Garman, CEO of AWS. “Snowflake has built on AWS since day one, and their deepened commitment to run on Graviton delivers the world-class performance, flexibility, and cost savings customers need to run data warehousing and AI workloads at scale.”
The expanded collaboration is anchored in a technical architecture that brings foundation models directly to governed enterprise data, eliminating the complexity and risk of moving sensitive information between systems.
Snowflake Cortex AI enables customers to build and deploy AI applications for text-to-SQL, summarization, sentiment analysis, and entity extraction directly within their Snowflake environment. Enterprises are rapidly adopting these capabilities to run AI on trusted, governed data without moving it outside their secure perimeter. Snowflake leverages AWS Graviton processors, delivering significant price-performance improvements for customers, and utilizing high-performance, GPU-accelerated Amazon EC2 instances for AI model training and inference.
