Snowflake, a prominent cloud data storage enterprise, has formalized a new five-year agreement valued at $6 billion with a leading cloud service provider, as jointly announced on Wednesday.
Historically reliant on Amazon Web Services (AWS), Snowflake's platform is now also accessible through Microsoft Azure and Google Cloud. To contextualize the scale of this new commitment, AWS reports that Snowflake has generated a cumulative $7 billion in service sales through the AWS Marketplace since its inception in 2012. This new $6 billion expenditure therefore represents a sum nearly equivalent to Snowflake's total historical earnings from its AWS operations.
This substantial investment is underpinned by a significant acceleration in Snowflake customers' expenditure on AWS, with Snowflake projecting a doubling of this spending to $2 billion for the calendar year 2025.
The primary catalyst for this expansion is, predictably, artificial intelligence. Snowflake has been providing its AI development utility, Cortex AI, for several years. This tool is strategically positioned, given that Snowflake serves as the repository for a substantial portion of enterprise data. Cortex AI offers functionalities such as natural language text interfaces for database queries and automated summary reports.
A notable aspect of this agreement is Snowflake's increased access to AWS's proprietary ARM-based CPU chip, Graviton.
As AI applications evolve from initial training phases to daily operational usage and advanced automation through agents, there is a dramatic surge in CPU utilization. While Graphics Processing Units (GPUs) are crucial for training and complex reasoning, Central Processing Units (CPUs) manage the majority of other AI-related tasks, particularly those involving agents.
Last month, Amazon CEO Andy Jassy highlighted that Amazon's internally developed AI chips deliver "better price-performance" compared to Nvidia's solutions, even as AWS continues to integrate Nvidia's chips into its cloud infrastructure. The intense demand for AI processing has led hyperscale providers like AWS to deploy these chips with maximum speed. It's also worth noting that leading AI model developers and numerous other AI service providers have specifically optimized their applications for Nvidia's chip architecture.
Nevertheless, Amazon's proprietary chips present a more cost-effective deployment option for the cloud giant. Amazon, known for its focus on affordability, asserts that it extends these cost efficiencies to its clientele.
As a result, these chips are attracting significant multi-billion-dollar contracts. For example, AWS recently secured an agreement to supply Meta with millions of Graviton chips to meet its expanding AI computing requirements. This represented a notable triumph for AWS, particularly as Meta had previously committed to a $10 billion agreement with Google Cloud just a few months prior.
Beyond their direct financial implications, these agreements also signal to Nvidia that rival CPUs developed by cloud industry titans are emerging as formidable competitors. Google, for its part, has been developing its own AI chips for several years, while Microsoft unveiled its Maia AI chip as recently as January.
Unsurprisingly, Nvidia CEO Jensen Huang stated last week that his company is fully prepared to defend and expand its market position. Following another quarter of record-breaking results, Huang declared that Nvidia's newly developed AI-specific CPU, named Vera, signifies a "brand new" $200 billion market opportunity for the company, with $20 billion already sold.
While Nvidia is unlikely to cede market share to Amazon or any other cloud provider without a robust defense, AWS's multi-billion-dollar cloud agreements clearly illustrate how the proliferation of AI is significantly bolstering its business. Regardless of which entities ultimately reap the greatest rewards from AI's increasing integration into professional and personal spheres, cloud service providers are undoubtedly securing a substantial portion of this burgeoning market.
The Editorial Staff at AIChief is a team of professional content writers with extensive experience in AI and marketing. Founded in 2025, AIChief has quickly grown into the largest free AI resource hub in the industry.