Why it matters
The strategic read
Adds a large enterprise AI-demand commitment to the AWS custom-silicon lane. Snowflake is not just reselling software here; it is reserving a multi-billion-dollar cloud infrastructure path tied to Graviton processors, GPU-accelerated EC2, model training, inference, and agentic AI workloads that run close to governed enterprise data.
Source-supported terms
What was disclosed
- 01
Snowflake signed a multi-year strategic collaboration agreement with AWS to accelerate enterprise agentic AI adoption.
- 02
Snowflake committed $6B in Graviton compute and AI spend on AWS over five years.
- 03
The companies described it as Snowflake’s largest AWS infrastructure commitment to date.
- 04
Snowflake said the expanded collaboration includes deeper generative AI and agentic AI integrations, AWS Marketplace go-to-market, workload migrations and customer success programs.
- 05
Snowflake uses AWS Graviton processors and high-performance GPU-accelerated Amazon EC2 instances for AI model training and inference.
- 06
Snowflake said launches are completed or underway in 10 new AWS regions, including Auckland, Cape Town, Bangkok and the AWS European Sovereign Cloud, to support data residency and bring AI deployment closer to customers.
Disclosure boundary
What is known—and what is not
Primary company announcement; full SCA contract, spend ramp, reserved-capacity mechanics, region-by-region allocation, AWS chip mix, pricing terms, termination rights, and customer workload allocation are not public.