Snowflake announced a multi-year, $6 billion commitment to Amazon Web Services (AWS) for compute and AI infrastructure,...

Snowflake announced a multi-year, $6 billion commitment to Amazon Web Services (AWS) for compute and AI infrastructure, including significant use of AWS Graviton processors and GPU capacity for AI training and inference. The deal was disclosed alongside Snowflake's strong Q1 FY2027 earnings, where product revenue grew 26% YoY to $996.8 million. Jim Cramer highlighted the deal as a validation of AWS's custom chip strategy, noting it reinforces confidence in Amazon's growing custom chip business (CNBC). The commitment signals a shift from experimental AI pilots to persistent, production-grade workloads, as noted by IDC and ISG analysts (Data Center Knowledge). Snowflake's expanded use of AWS infrastructure for AI, including custom silicon, strengthens AWS's position in enterprise AI and drives demand for both AWS services and the underlying semiconductor supply chain, including NVIDIA GPUs, Marvell networking, and TSMC manufacturing. The deal also supports Snowflake's AI monetization, with AI tools like Cortex Code driving a 'step function change' in revenue (CNBC). This partnership is a positive signal for AMZN's cloud and AI infrastructure business, indicating sustained, long-duration compute demand.