United States – Snowflake has announced a multi-year strategic collaboration agreement with Amazon Web Services aimed at accelerating enterprise adoption of agentic artificial intelligence (AI) technologies.
As part of the expanded collaboration, Snowflake said it will make a $6b multi-year infrastructure commitment to AWS, marking the company’s largest commitment to the cloud provider to date. The company said the investment reflects growing enterprise demand for AI and data workloads running on AWS infrastructure.
Snowflake, which was founded on AWS 11 years ago, said the agreement expands product integrations across generative AI and agentic AI technologies, while also broadening joint go-to-market initiatives through AWS Marketplace. The collaboration will also include investments in customer success programs, workload migrations, and industry-specific solutions intended to help enterprises transition AI projects from experimentation into production use.
“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.”
Matt Garman, CEO of AWS, said enterprises are increasingly moving beyond AI experimentation toward operational deployment.
“Enterprises are rapidly moving from experimenting with AI to putting intelligent agents to work that drive real business outcomes. 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,” he said.
The companies said the collaboration focuses on enabling enterprises to run AI models directly on governed enterprise data without moving sensitive information across systems. Snowflake said its Cortex AI platform allows customers to develop AI applications for functions such as text-to-SQL, summarization, sentiment analysis, and entity extraction within their Snowflake environments.
Snowflake added that it leverages AWS Graviton processors and GPU-accelerated Amazon EC2 instances to support AI model training and inference workloads.
The company also highlighted growth through AWS Marketplace, where Snowflake said lifetime sales have surpassed $7b. According to Snowflake, sales through the marketplace exceeded $2b in 2025, more than doubling year-over-year transaction growth.
In addition, Snowflake said it is expanding its global AWS footprint with launches completed or underway in 10 new regions, including Auckland in New Zealand, Cape Town in South Africa, Bangkok in Thailand, and the AWS European Sovereign Cloud.
Several customers are already using Snowflake’s AI capabilities on AWS, according to the company.
“AI is deeply embedded in how Fetch builds and operates every day, and our work with Snowflake and AWS is strengthening that foundation,” said Daniel Block, General Manager of Revenue and Partnerships, Fetch. “With Snowflake Cortex AI, we’ve deployed a semantic agent that allows our sales teams to query campaign data in natural language and get instant insights. This enables faster, more informed decision-making across our business to deliver more value for our brand partners.”
“Snowflake on AWS is the foundation that many of our customers rely on to move fast with data,” said Caitlin Colgrove, Co-Founder and CTO, Hex. “For teams using Hex to explore, analyze, and build with AI, having that layer be secure, governed, and performant isn’t a nice-to-have — it’s what makes enterprise AI adoption real.”
