CoreWeave has completed one of the more striking pivots in the technology sector, transforming itself from a cryptocurrency mining operation into a major supplier of computing power for artificial intelligence—an evolution its chief executive says was rooted in technical curiosity as much as timing.
Michael Intrator, the company’s cofounder and CEO, traced that transition to its early immersion in crypto infrastructure, where mastering graphics processing units, or GPUs, became a necessity rather than a strategic choice.
“We’re pretty nerdy, we dig under the hood,” Intrator said in an interview recorded at Nvidia GTC.
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That hands-on familiarity with GPUs would later prove decisive. CoreWeave began as an Ethereum mining operation, building out large-scale compute clusters during a period when digital assets drove demand for parallel processing power. The company endured repeated downturns in the sector, including the 2018 crash in Bitcoin, when prices fell from nearly $20,000 to around $3,000 within a year.
“We weathered crypto winter really well and immediately started to look for other use cases,” Intrator said.
That search for alternative applications led to a broader shift in how the company viewed its infrastructure. Rather than tying its business model to a single asset class, CoreWeave began treating compute capacity as a flexible resource that could be redirected as demand evolved. When generative AI surged following the release of ChatGPT in 2022, the company was already positioned to supply the most critical input: GPU power.
Today, CoreWeave provides large-scale computing infrastructure to AI developers and cloud platforms, including relationships with Nvidia and Microsoft. The company has described itself as the “first true hyperscaler,” an assertion that places it in competition with established cloud providers while also signaling its focus on AI-specific workloads rather than general-purpose computing.
The scale of that ambition is reflected in its valuation. CoreWeave’s market capitalization stood at about $43.6 billion as of Tuesday, underscoring investor appetite for companies positioned at the center of the AI infrastructure buildout.
Scrutinizing the Growth
Yet the model is drawing scrutiny. Unlike traditional cloud providers that built infrastructure over decades, CoreWeave has expanded rapidly through aggressive financing, raising tens of billions of dollars—much of it debt—to fund data centers and GPU acquisitions. That approach has prompted questions about sustainability, particularly if demand growth slows or pricing power weakens.
Kerrisdale Capital, which disclosed a short position in the company, argued that CoreWeave “isn’t pioneering the future of AI—it’s a debt-fueled GPU rental business with no moat.” The critique centers on the idea that access to GPUs, while currently scarce, may not constitute a durable competitive advantage as more capacity enters the market.
But Intrator rejected that characterization, pointing instead to what he describes as innovation in financial engineering as well as infrastructure deployment. In the interview, he outlined a model that bundles customer contracts, hardware assets, and data center agreements into a single structure designed to manage cash flow and de-risk investment.
“It’s called a box,” he said, describing an arrangement in which payments from customers are used to service debt, cover operating costs, and generate returns. “What’s important to understand is the economics in this box are such that within 2.5 years of a five-year deal, we have paid for everything.”
That structure effectively front-loads risk while aiming to accelerate cost recovery, a strategy that depends heavily on stable, long-term contracts with major clients. It is also seen as a part of a broader shift in the AI economy, where access to compute has become as critical—and as capital-intensive—as the development of the models themselves.
CoreWeave has also moved to shape its public image, launching an advertising campaign featuring Chance the Rapper as it seeks to position itself as a foundational player in the AI ecosystem rather than a transitional beneficiary of GPU scarcity.
The company’s trajectory illustrates a defining feature of the current technology cycle: the reallocation of infrastructure built for one digital boom into the backbone of another. Crypto mining, once seen as a niche and volatile industry, has in this case served as a proving ground for expertise that is now being redeployed at a far greater scale.