A broad, multi-year strategic collaboration with AWS strengthens Snowflake’s established AWS relationship, as most Snowflake customers are on AWS and AWS views Snowflake as a leading partner driving global adoption.

The partnership aims to accelerate enterprise agentic AI adoption, helping customers build and deploy AI faster and more securely within Snowflake’s ecosystem.

Snowflake Cortex AI enables developers to build and deploy AI applications inside Snowflake, including text-to-SQL, summarization, sentiment analysis, and entity extraction, all while keeping data within governed perimeters.

Snowflake leverages AWS Graviton processors for price-performance gains and uses high-performance GPU-accelerated EC2 instances to train and run AI models.

Customers like Fetch and Hex are deploying Snowflake on AWS to unify data and deploy AI applications on governed data, driving measurable business impact.

Since its availability on AWS Marketplace, Snowflake has surpassed $7 billion in lifetime sales and more than $2 billion in calendar-year 2025 sales, with growth expected to continue under the expanded collaboration.

Snowflake is expanding its global AWS footprint with launches in 10 new regions, including Auckland, Cape Town, Bangkok, and AWS European Sovereign Cloud, addressing data residency needs and bringing AI closer to operations.

Snowflake CEO Sridhar Ramaswamy frames the move toward agentic enterprises where AI reasoning and workflow coordination over trusted data deliver measurable outcomes, while AWS CEO Matt Garman touts performance, flexibility, and cost savings from Graviton and GPU-enabled instances.

Snowflake commits $6 billion in multi-year infrastructure investments to AWS, the largest such commitment to date, signaling rising demand for AI and data workloads on AWS.

The collaboration deepens product integrations across generative and agentic AI, expands AWS Marketplace go-to-market efforts, and funds joint customer success programs, migrations, and industry-specific solutions to scale from AI experimentation to production.