In a significant move for enterprise AI, Snowflake announced on May 27, 2026, a multi‑year strategic collaboration agreement (SCA) with Amazon Web Services (AWS), backed by a $6 billion infrastructure commitment. This marks Snowflake’s largest investment to date in AWS infrastructure, aimed at accelerating the adoption of agentic AI across enterprises. The deal underscores the growing demand for robust, scalable infrastructure to support AI agents in production environments. (crn.com)
Simultaneously, Snowflake disclosed its definitive agreement to acquire Natoma, a company specializing in Model Context Protocol (MCP) platforms for AI agents. This acquisition is designed to extend Snowflake’s governance perimeter beyond traditional data assets to include AI actions and interactions across the enterprise. By integrating Natoma’s capabilities, Snowflake aims to provide enterprises with a unified, secure, and governed environment for managing AI agents alongside their data infrastructure. (crn.com)
This dual announcement positions Snowflake as a central control plane for the agentic enterprise—combining data, governance, and AI agent orchestration under one roof. The strategic alignment with AWS ensures the necessary compute and infrastructure scale, while the Natoma acquisition addresses the critical need for governance and context-aware control over AI agents. Together, these moves reflect a maturation in enterprise AI strategy, where infrastructure and governance are becoming as important as the AI models themselves.