Amazon Web Services (AWS) has secured a $6 billion, five-year cloud spending commitment from data-warehousing provider Snowflake Inc., a substantial expansion of a long-standing alliance in an increasingly artificial intelligence (AI)-driven tech landscape.
The mega-deal, announced Wednesday, underscores surging momentum for Amazon’s proprietary custom silicon. Snowflake plans to significantly ramp up its usage of AWS’s Graviton general-purpose central processing units (CPUs), alongside cloud-based graphics processing units (GPUs) tailored for AI.
The agreement places Snowflake among AWS’s premier customers for CPU-based computing, joining tech giants Meta Platforms Inc. and Apple Inc.
Industry experts note the proliferation of AI agents has triggered unprecedented demand for robust CPUs to orchestrate background computing workloads. Unlike Amazon’s recent blockbuster AI collaborations with Anthropic and OpenAI, the Snowflake deal does not involve an equity stake.
“Hyperscalers are competing to own the compute substrate beneath AI and data workloads, and proprietary silicon is the instrument. Snowflake’s $6 billion, five-year commitment to Graviton CPUs and AWS GPUs anchors its architecture to AWS hardware,” said Mitch Ashley, vice president and practice lead for Software Lifecycle Engineering and AI-Native Software Engineering at The Futurum Group.
“The implication for buyers is clear,” Ashley said. “Committing to custom silicon at this scale is an architecture decision that narrows portability for years. Procurement teams evaluating AI infrastructure must price silicon-level lock-in against the cost advantage that wins the deal.”
The new arrangement marks a dramatic escalation in the tech partnership. When Snowflake went public in 2020, it disclosed a five-year, $1.2 billion commitment to an unnamed cloud vendor, later revealed to be AWS. That figure climbed to $2.5 billion in 2023, before more than doubling to the current $6 billion package, which reflects an average annual expenditure of $1.2 billion.
News of the expanded partnership coincided with Snowflake delivering a blowout fiscal first-quarter earnings report. For the period ending April 30, Snowflake posted adjusted earnings of 39 cents per share on $1.39 billion in revenue, up 33% year-over-year. The figures handily beat Wall Street projections of 32 cents per share on $1.32 billion in revenue.
Snowflake’s financial outlook also outpaced expectations. Management projected fiscal second-quarter product revenue between $1.415 billion and $1.420 billion, with an adjusted operating margin of 12.5%, surpassing consensus estimates of $1.37 billion and 11.9% respectively. Bolstering its artificial intelligence roadmap, Snowflake further announced the acquisition of AI startup Natoma for an undisclosed sum.
Investors reacted with euphoria, sending Snowflake shares surging as much as 36% in extended trading.
Founded on AWS infrastructure in 2015, Snowflake has expanded its footprint to nearly 14,000 customers, including startups Fetch and Hex. The aggressive hardware expansion positions Snowflake to compete vigorously as enterprises shift from basic data storage to deploying highly complex AI agents.
For Amazon, the multibillion-dollar commitment validates its heavy investments in custom silicon, reinforcing its market-leading position against cloud rivals in the generative AI arms race.
Originally published by Techstrong.IT. Republished with attribution.
