In a significant development for the cloud computing landscape, data warehousing giant Snowflake has inked a monumental $6 billion, five-year agreement with Amazon Web Services (AWS). This deal, announced recently, underscores the escalating demand for robust cloud infrastructure, primarily fueled by the explosive growth of artificial intelligence applications. It’s a clear signal of where the industry is heading and the immense value being placed on powerful, scalable cloud solutions.
For context, this new contract is remarkably close to the total $7 billion worth of Snowflake services sold via the AWS Marketplace since the company’s inception in 2012. While Snowflake now also operates on Microsoft Azure and Google Cloud, its foundational relationship with AWS remains incredibly strong. This massive commitment highlights the deepening strategic partnership between the two tech titans and the accelerated adoption of Snowflake’s offerings on AWS.
A Landmark Deal for Cloud Data and AI
The impetus behind this multi-billion-dollar commitment is clear: Snowflake’s customers are rapidly increasing their investment in AWS, with spending on the platform doubling in 2025 alone to an impressive $2 billion. This surge is, unsurprisingly, attributed to the burgeoning field of artificial intelligence. Enterprises are leveraging Snowflake’s cloud data platform as the foundational layer for their AI initiatives, recognizing its capability to manage and process vast amounts of data.
A key enabler of this growth is Snowflake’s Cortex AI, an AI building tool launched a couple of years ago. Given that Snowflake houses much of an enterprise’s critical data, Cortex AI provides invaluable features for turning raw data into actionable insights. Imagine querying your database using simple, natural language or generating comprehensive summary reports with minimal effort – these are just some of the powerful capabilities Cortex AI brings to the table.
The Rise of Graviton: AWS’s AI Advantage
Perhaps one of the most intriguing aspects of this new agreement is Snowflake’s specific desire for greater access to AWS’s proprietary ARM-based CPU chip, Graviton. As AI transitions from intensive training phases to widespread daily usage and the deployment of intelligent agents, the demand for CPU power skyrockets. While Graphics Processing Units (GPUs) are essential for training complex models and advanced reasoning, CPUs handle the vast majority of other AI-related tasks, particularly those associated with agents orchestrating various processes.
Amazon CEO Andy Jassy proudly stated last month that AWS’s homegrown AI chips offer “better price-performance” compared to alternatives, including offerings from Nvidia. Although AWS continues to integrate Nvidia’s leading GPUs into its cloud to meet insatiable demand, Graviton presents a compelling, more cost-effective option for many workloads. This strategic investment in proprietary hardware allows Amazon, ever the price-conscious provider, to pass those significant savings directly onto its customers, making advanced AI compute more accessible.
The success of Graviton is not limited to Snowflake. Just last month, AWS secured another massive deal to supply millions of Graviton chips to Meta, powering the social media giant’s expanding AI compute infrastructure. This was a significant win for AWS, especially considering Meta had previously signed a $10 billion agreement with Google Cloud for similar needs, underscoring Graviton’s growing competitive edge.
Intensifying Competition in the AI Chip Arena
These multi-billion-dollar deals featuring Graviton chips serve as a clear notice to market leader Nvidia: competition in the AI chip space is rapidly intensifying. Cloud giants are not content to merely resell third-party hardware; they are actively developing their own custom silicon to optimize performance and reduce costs. Google has been designing its own AI chips for years, and Microsoft recently unveiled its Maia AI chip in January, further diversifying the landscape.
Unsurprisingly, Nvidia CEO Jensen Huang remains steadfast in his commitment to defend and expand his company’s dominant position. Last week, following another quarter of record-breaking earnings, Huang announced Nvidia’s new AI-specific CPU, Vera. He boldly proclaimed that Vera represents a “brand new” $200 billion market opportunity for Nvidia, stating that the company has already secured $20 billion in sales for the new chip.
While Nvidia is undoubtedly a formidable force and won’t cede market share easily, the massive cloud deals like the one between Snowflake and AWS clearly demonstrate how the AI revolution is lifting all boats, especially for cloud providers. Regardless of which specific chip manufacturer ultimately dominates, it’s evident that cloud infrastructure providers are securing their substantial share of the immense value generated by the integration of AI into our daily work and personal lives.
Source: TechCrunch – AI
