Coreweave stock analyst makes huge change to price target

CoreWeave  (CRWV) is arguably 2025’s headline stock.

The Nvidia  (NVDA) -backed AI-infrastructure pure-play went public at $40 on Mar. 28, 2025. Its shares have more than tripled since the IPO, and at points even quadrupled.

Under the hood, its growth isn’t just a promise.

In Q2 2025, CoreWeave posted a whopping $1.21 billion in sales (compared with $395 million a year ago), with its management leaning into GPU-first, bare-metal capacity for model training and inference.

Moreover, the demand outlook is essentially underwritten by massive contracts and backstops. For perspective, CoreWeave boasts a whopping $11.9 billion OpenAI capacity deal (plus up to $4 billion more through 2029), along with a $6.3 billion Nvidia agreement to layer in unused capacity through 2032.

That robust combination of hypergrowth sales, marquee customers, and a safety net from Nvidia has made CoreWeave a key proxy for the AI buildout.

That’s exactly why Wall Street’s antennae went up again this week, with top Wells Fargo analyst Michael Turrin revamping his CoreWeave price target in a big way. The reset is massive enough to make even seasoned AI bulls’ heads turn.

CEO Michael Intrator leads CoreWeave, a GPU-first hyperscaler that serves as an “express lane for AI.”

Image source: Nagle/Bloomberg via Getty Images

Wells Fargo boosts CoreWeave on surging AI demand

Wells Fargo just gave CoreWeave a massive vote of confidence, upgrading the stock to overweight from equal weight, while hiking its price target to $170 from $105

Simply put, analysts, led by Michael Turrin, say “demand signals are growing too strong to ignore.” Moreover, Turrin argues that the setup is mighty compelling:

While the rest of software is stuck waiting for AI monetization to surface, CRWV stands to benefit from the elevated build cycle today and persistent industry shortages into 2026.

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The analysts pointed to multiple reasons for the price target bump, led by stronger-than-expected AI demand and improved unit economics:

  • Hyperscaler momentum: Cloud giants continue shelling out billions in boosting computing capacity, positioning CoreWeave to keep expanding into the largest buyers.
  • Improved economics: Wells Fargo lifted its GPU-hour pricing assumption to $2.50 from $2.00, underscoring stronger price capture. Nvidia has also been contractually backstopping unused compute at favorable terms, creating a utilization floor.
  • Margin upside: Analysts flagged CoreWeave’s potent vertically integrated stack and lower-than-expected financing rates as critical levers that could grow its bottom line.
  • Deepening partnerships: CoreWeave has been embedding further with marquee clients like Microsoft, OpenAI, and Google.
  • Lock-up expiration: With its IPO lock-up now expired, Wells Fargo expects lower volatility in the stock going forward.

CoreWeave, Nebius, and the rise of the AI hyperscalers

CoreWeave isn’t your typical AI cloud provider.

Think of it as an express lane for AI, where it’s a GPU-first hyperscaler that’s built to train and run models at speed. 

Instead of offering general-purpose compute like AWS or Azure, it provides its clients bare-metal access to Nvidia’s latest chip with an infrastructure stack tailored specifically for training and inference.

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Moreover, with big clouds juggling storage, networking, and enterprise software, CoreWeave’s clusters are customized to handle AI workloads. The result is swifter provisioning, better throughput, and, by its own benchmarks, a superb 20% higher cluster performance on large-model training.

It’s not alone, though.

Nebius, which spun out of Yandex and is now EU-based, is another emerging AI hyperscaler, having recently inked a multi-billion-dollar AI deal with Microsoft, pushing the same thesis as CoreWeave.

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Collectively, these enterprises are efficiently bridging the gap between runaway AI demand and scarce compute supply, evolving into dedicated power plants that keep the grid running.

Quick takeaways

  • CoreWeave is an express lane for AI: GPU-first, tailor-made for training and inference.
  • Performance edge: Purpose-built clusters offer a stellar 20% better throughput.
  • Nebius rising: EU-based “neocloud,” partnered with Microsoft on a massive multi-billion-dollar AI deal.
  • Big picture: These players act like specialized power plants, keeping AI’s growth engine running as hyperscalers face bottlenecks.

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