Snowflake, the AI Data Cloud company, today announced that it has signed a multi-year strategic collaboration agreement (SCA) with Amazon Web Services (AWS) to accelerate enterprise agentic AI adoption to help 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 commits $6 billion over five years to AWS for Graviton compute and AI spend.
Snowflake surpasses 7billioninlifetimeAWSMarketplacesales;exceeded2 billion in calendar year 2025.
Majority of Snowflake customers run on AWS today.
Snowflake Cortex AI enables text-to-SQL, summarization, sentiment analysis, and entity extraction.
AWS Graviton processors deliver price-performance improvements; GPU-accelerated EC2 instances for AI training/inference.
New regions launched or underway in New Zealand, South Africa, Thailand, and AWS European Sovereign Cloud.
"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.
Since Snowflake first became available in AWS Marketplace, customers have embraced it as the fastest path to procure and deploy Snowflake's AI and data capabilities - surpassing 2 billion in calendar year sales in 2025, more than doubling transaction growth year-over-year. The expanded SCA builds on that trajectory, scaling joint initiatives to help even more customers discover, procure, and deploy AI and data solutions through AWS Marketplace with simplified contracting, faster procurement.
Snowflake has also continued expanding its global footprint on AWS, with launches completed or underway in 10 new regions including New Zealand (Auckland), South Africa (Cape Town), Thailand (Bangkok), AWS European Sovereign Cloud, and others to help customers meet data residency requirements and deploy AI closer to where their business operates.
From startups to global enterprises, customers including Fetch and Hex use Snowflake on AWS to unify data, eliminate silos, and deploy AI applications and agents on governed data to drive measurable business impact.
"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."
About Snowflake
Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 13,900 customers around the globe, including hundreds of the world's largest companies, use Snowflake's AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone.
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