Snowflake signs US$6bn AWS deal for enterprise AI workloads

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Product revenue rose to US$1.33 billion, representing 33.9% year-over-year growth.Its shares rose 36% in extended trading after the forecast update.AWS deal covers US$6bn infrastructure commitmentAlongside the earnings update, Snowflake announced a five-year agreement with AWS valued at US$6 billion.The agreement is tied to a multi-year infrastructure commitment to AWS, which Snowflake described as its largest to date.Snowflake said it was founded on AWS 11 years ago, and most of its customers run on AWS today.

The new agreement covers the use of AWS Graviton processors and AI infrastructure, as well as deeper product integrations between the two companies.The agreement covers enterprise cloud workloads beyond Snowflake’s data warehousing business.It includes integrations for generative AI and agentic AI, broader use of AWS Marketplace, and support for workload migrations.The companies said the arrangement is aimed at helping enterprise customers move AI projects from experimentation into regular use.The migration work applies to Snowflake’s data platform, where customers manage and process enterprise data.Snowflake said the expanded agreement is built around bringing AI models closer to governed enterprise data, rather than requiring customers to move sensitive information between systems.

Its Cortex AI tools support text-to-SQL, summarisation, sentiment analysis, and entity extraction within the Snowflake environment.AWS is also providing the compute infrastructure behind the workloads covered by the agreement.Snowflake said it uses AWS Graviton processors for cloud workloads and GPU-accelerated Amazon EC2 instances for AI model training and inference.Snowflake CEO Sridhar Ramaswamy said on a post-earnings call that the revised fiscal 2027 outlook reflected strength in the company’s core data platform business and additional contribution from AI capabilities.Snowflake has reported demand for its data warehousing products as companies move workloads from older systems to cloud-based platforms.The company has also cited adoption of tools such as Cortex Code and Snowpark, which support development, data processing, and machine learning use cases on its platform.AWS Graviton processors are Amazon-designed processors for cloud workloads running on EC2.

GPU-accelerated EC2 instances are used for more compute-heavy AI tasks, including model training and inference.Under the agreement, Snowflake will use AWS compute infrastructure for enterprise data and AI workloads.Marketplace sales pass US$7bnThe agreement also includes expanded activity through AWS Marketplace, where enterprise customers can buy and deploy cloud software and services.Snowflake said its AWS Marketplace sales have surpassed US$7 billion over time.

It also said sales exceeded US$2 billion in calendar 2025, more than doubling year over year.Snowflake is also expanding its AWS footprint across 10 new regions, including Auckland, Cape Town, Bangkok, and the AWS European Sovereign Cloud.The company said the regional expansion is intended to support data residency requirements and local deployment needs.Gartner has forecast public cloud services growth of 21.3% in 2026, with the market projected to reach US$1.48 trillion by 2029.Gil Luria, managing director at D.A.Davidson, said the AWS agreement aligns Snowflake more closely with its largest partner.

He also said it gives Snowflake a larger role in customers’ transition to AI.See also: AWS expands Anthropic partnership with Claude Platform launchWant to learn more about Cloud Computing from industry leaders? Check out Cyber Security & Cloud Expo taking place in Amsterdam, California, and London.The comprehensive event is part of TechEx and is co-located with other leading technology events, click here for more information.Cloud Computing News is powered by TechForge Media.Explore other upcoming enterprise technology events and webinars here.About the Author Muhammad ZulhusniJournalist As a tech journalist, Zul focuses on topics including cloud computing, cybersecurity, and disruptive technology in the enterprise industry.

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