Snowflake Commits $6 Billion to AWS in Expanded Strategic Partnership to Accelerate Enterprise AI Adoption
Snowflake has announced a new multi-year Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS), marking a major expansion of their long-standing partnership to accelerate enterprise adoption of agentic artificial intelligence.
As part of the agreement, Snowflake will make a US$6 billion multi-year infrastructure commitment to AWS—its largest infrastructure investment to date—reflecting the rapid growth in enterprise demand for AI, analytics and cloud-based data workloads.
The collaboration aims to help organisations worldwide build, deploy and scale AI applications more quickly and securely while enabling businesses to unlock greater value from their governed enterprise data.
Strengthening an Eleven-Year Partnership
Snowflake was founded on AWS more than a decade ago, and the relationship has since grown into one of the cloud industry’s most significant strategic partnerships.
Today, the majority of Snowflake customers operate their workloads on AWS, with the cloud provider recognising Snowflake as one of its leading technology partners driving enterprise cloud adoption globally.
The latest agreement deepens collaboration across several strategic areas, including generative AI, agentic AI, customer success initiatives, workload migrations and industry-specific solutions designed to help organisations move beyond AI experimentation into large-scale production deployments.
The partnership also expands joint go-to-market initiatives through AWS Marketplace, simplifying procurement while making Snowflake’s AI and data services more accessible to enterprise customers worldwide.
Driving the Next Generation of Enterprise AI
As businesses increasingly integrate artificial intelligence into their operations, the focus is shifting from experimentation to deploying AI systems capable of delivering measurable business outcomes.
According to Snowflake CEO Sridhar Ramaswamy, the next phase of enterprise AI will be driven by intelligent systems capable of reasoning over trusted enterprise data, coordinating workflows and supporting business decision-making.
The expanded partnership with AWS is intended to make it easier for organisations to bring AI directly to governed enterprise data while maintaining security, compliance and operational control.
Rather than moving sensitive information between multiple environments, enterprises can develop AI applications where their data already resides, reducing complexity and improving data governance.
Bringing AI Closer to Enterprise Data
A central component of the collaboration is the continued expansion of Snowflake Cortex AI, the company’s integrated artificial intelligence platform.
Snowflake Cortex AI enables organisations to build and deploy AI-powered capabilities including text-to-SQL, document summarisation, sentiment analysis and entity extraction directly within their Snowflake environments.
Running AI models against governed enterprise data allows organisations to improve security while reducing operational overhead associated with moving sensitive datasets across multiple platforms.
The platform also leverages AWS infrastructure, including AWS Graviton processors for improved price-performance and Amazon EC2 GPU-accelerated instances for AI model training and inference.
This combination provides enterprises with scalable computing resources capable of supporting increasingly sophisticated AI workloads.
Expanding Enterprise Adoption Through AWS Marketplace
Snowflake’s presence on AWS Marketplace continues to expand as organisations increasingly adopt cloud-native procurement models.
Since becoming available on AWS Marketplace, Snowflake has generated more than US$7 billion in lifetime marketplace sales, including over US$2 billion in calendar year 2025 alone.
The expanded Strategic Collaboration Agreement builds on this momentum by simplifying procurement processes, expanding marketplace availability and supporting faster deployment of enterprise AI and data solutions.
The companies also plan to invest jointly in customer success programmes and migration initiatives to help organisations modernise legacy systems and accelerate digital transformation.
Growing Global Infrastructure
Snowflake continues expanding its global infrastructure footprint on AWS to support customers operating in multiple regions while meeting local data residency requirements.
New AWS regions launched or currently under development include Auckland in New Zealand, Cape Town in South Africa, Bangkok in Thailand and the AWS European Sovereign Cloud.
The expanded regional presence allows customers to deploy AI applications closer to where their businesses operate while supporting regulatory compliance and improving application performance.
Supporting Real-World AI Deployments
Organisations across multiple industries are already using Snowflake on AWS to develop AI-powered applications built on trusted enterprise data.
Customers including Fetch and Hex are leveraging Snowflake Cortex AI to eliminate data silos, improve analytics and deploy intelligent applications that support business operations.
These implementations demonstrate how organisations are moving beyond proof-of-concept projects towards practical AI deployments capable of generating measurable business value.
By combining secure cloud infrastructure with governed enterprise data and advanced AI capabilities, Snowflake and AWS aim to help businesses accelerate innovation while maintaining strong security and compliance standards.
With a US$6 billion infrastructure commitment and deeper technical integration, the expanded partnership reinforces both companies’ long-term commitment to enabling enterprise AI adoption at global scale.
