Snowflake locks in $6 billion AWS commitment as agentic AI moves from experiment to enterprise infrastructure
Snowflake locks in $6 billion AWS commitment as agentic AI moves from experiment to enterprise infrastructure

Snowflake locks in $6 billion AWS commitment as agentic AI moves from experiment to enterprise infrastructure

The announcement, made 28 May, extends what Snowflake calls enterprise software's broadest cloud partnership. The company was founded on AWS eleven years ago and has now surpassed $7 billion in lifetime AWS Marketplace sales, with more than $2 billion transacted in calendar year 2025 alone.

At the commercial level, the expanded strategic collaboration agreement deepens Snowflake's use of AWS Graviton processors for data warehousing workloads and GPU-accelerated EC2 instances for AI model training and inference. It also extends joint go-to-market activity through AWS Marketplace and expands a customer success programme targeting workload migrations.

The technical centrepiece is Snowflake Cortex AI, which lets enterprises run text-to-SQL queries, summarisation, sentiment analysis, and entity extraction directly within their Snowflake environment, without moving data outside a governed perimeter. The architecture is designed to close a gap that has slowed enterprise AI deployments: the difficulty of running foundation models on production data without loosening security controls.

"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."

AI has generated enormous excitement, but for enterprises, the real challenge and opportunity is turning intelligence into action

Sridhar Ramaswamy (CEO, Snowflake)

Matt Garman, CEO of AWS, framed the same shift in operational terms: "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."

Fetch, the consumer rewards platform, has deployed a Cortex AI semantic agent that lets sales teams query campaign data in plain language, getting instant insights without waiting for analyst turnaround. Hex, the analytics notebook company, pointed to the security and governance layer as the difference between enterprise AI adoption being real versus theoretical.

Snowflake's regional footprint on AWS is also expanding, with launches completed or underway in ten new regions including New Zealand, South Africa, Thailand, and the AWS European Sovereign Cloud — addressing the data residency requirements increasingly imposed by regulators in those markets.

The deal lands as Snowflake's latest quarterly results show sustained demand for its data and AI platform, and as the company separately announced its intent to acquire Natoma to extend secure connectivity for agentic workloads.

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