NewsStocksWhat Is a Neocloud? The GPU Cloud Specialists Powering the AI Boom

What Is a Neocloud? The GPU Cloud Specialists Powering the AI Boom

Author: Decrypt·

Key Takeaways

  • •Neoclouds are AI-focused providers that rent large clusters of Nvidia GPUs for training and inference, with CoreWeave and Nebius among the best-known listed players.
  • •CoreWeave was founded in 2017 to mine Ethereum, and many Bitcoin miners have since converted their power sites into AI data centers under hosting deals worth billions.
  • •Gartner predicted in October 2026 that more than 80% of neocloud providers will stop operating independently by 2030, triggering a sharp selloff across the sector's shares.
  • •Big Technology firms have locked in long-term capacity agreements, including Microsoft's roughly $9.7 billion five-year contract with IREN and TeraWulf's 20-year, approximately $19 billion lease with Anthropic.
  • •CoreWeave's unsecured debt yielded about 15% by late October 2026 and its shares fell 29% for the month, though the company says nearly all of its 2027 capacity is already sold.
What Is a Neocloud? The GPU Cloud Specialists Powering the AI Boom

Neoclouds are specialist cloud providers—CoreWeave and Nebius among the best known—that rent out clusters of Nvidia GPUs to AI labs, startups, and Big Tech firms.

Many have deep roots in crypto: CoreWeave began life mining Ethereum, and Bitcoin miners have signed AI hosting deals worth billions of dollars with Microsoft, Amazon, and Anthropic.

The sector's shares sold off hard in October 2026 after research firm Gartner predicted that more than 80% of neocloud providers will stop operating independently by 2030.

Training and running modern AI models demands enormous computing power, almost all of it supplied by graphics processing units (GPUs). For most of the past decade, renting servers meant turning to one of the "hyperscalers": Amazon Web Services, Microsoft Azure, or Google Cloud. When the ChatGPT boom set off a global scramble for GPUs, a new kind of company stepped in to meet the demand. These are the neoclouds.

A neocloud does one thing: rent out GPU capacity for AI training and inference (running a trained model to answer requests). In a few short years, these companies have gone from unknown startups to listed players with contracts worth billions of dollars, and their crypto lineage runs deep. CoreWeave started out as an Ethereum miner, and a wave of Bitcoin miners is now converting its power-hungry sites into AI data centers.

This guide explains what neoclouds are, how they work, who the main players are, and why their shares sold off so sharply in October 2026.

What Is a Neocloud?

A neocloud is an AI-focused infrastructure-as-a-service (IaaS) provider. Where a hyperscaler sells hundreds of services, from databases to email hosting, a neocloud primarily sells access to large clusters of high-end GPUs, plus the networking, storage, and software required to run AI workloads on them. CNBC has described such firms as businesses that offer access to the GPUs powering artificial intelligence as a service.

The best-known neoclouds include:

  • CoreWeave (Nasdaq: CRWV): Backed by Nvidia and the largest pure-play neocloud, it listed in March 2025.
  • Nebius Group (Nasdaq: NBIS): An Amsterdam-based company formed from the international business of Russian tech giant Yandex.
  • Lambda, Crusoe, and Fluidstack: Privately held GPU cloud providers, though Lambda is raising a final funding round ahead of a planned IPO.
  • IREN: A Bitcoin miner turned AI host that now runs its own AI cloud.

Neoclouds are companies, not blockchains, so they do not issue a native token. Their shares trade on traditional stock exchanges.

CoreWeave was founded in 2017 to mine Ethereum with GPUs. Ethereum's 2022 switch to proof of stake ended GPU mining on the network, and CoreWeave moved its hardware over to AI and cloud work.

How Does a Neocloud Work?

The neocloud model comes down to three scarce resources: chips, power, and capital.

  • Chips. Neoclouds buy large numbers of Nvidia GPUs and network them into clusters purpose-built for AI. Being first in line for new Nvidia systems is a major selling point.
  • Power and space. AI clusters need hundreds of megawatts of electricity plus liquid cooling. Neoclouds either build their own data centers or lease "powered shells" from site owners, including Bitcoin miners turned AI hosts.
  • Capital. GPUs are expensive and lose value quickly. Neoclouds usually pay for them with debt, often backed by the chips themselves and by long-term customer contracts.

Customers—AI labs, Big Tech firms, and startups—sign multi-year agreements for reserved capacity or pay by the hour on demand. The neocloud earns the difference between what the GPUs bring in and what they cost to buy, power, and finance.

The weak point is depreciation. In its second-quarter 2026 results, CoreWeave reported depreciation and amortization of nearly $1.4 billion against revenue of about $2.6 billion, while Nebius booked about $260 million against revenue of $582 million.

What Makes Neoclouds Different?

Neoclouds compete on speed and focus. Hyperscalers split their GPUs across many services, including their own AI products. Neoclouds can deliver large, dedicated clusters quickly, and they tune their software for AI rather than general-purpose computing. Some of their biggest customers are the hyperscalers themselves, which rent neocloud capacity when their own data centers cannot keep up. That overlap is one reason the sector's financing conditions are watched so closely: some of the computing behind modern AI now runs on hardware bought with borrowed money.

The sector has also given Bitcoin miners a second life. In the two years to July 2026, miners contracted roughly 7 gigawatts of power capacity across 19 deals worth more than $135 billion with hyperscalers, neoclouds, and chipmakers, according to Bernstein. That is less than a quarter of the 30 GW the miners hold in their planned power pipeline. The asset that matters is power: miners already had land, grid connections, and permits, which can take years to obtain.

One standout deal: TeraWulf signed a 20-year lease with Anthropic for its Kentucky campus. The deal is expected to bring in about $19 billion—more than TeraWulf's entire market value at the time.

Who Works With Neoclouds?

  • Microsoft: A major buyer of neocloud capacity, including a roughly $9.7 billion, five-year GPU cloud contract with IREN.
  • Amazon Web Services: Signed a 15-year, roughly $5.5 billion lease with Cipher, a Bitcoin miner turned AI host, for AI capacity.
  • Google: Guarantees Fluidstack's lease payments on sites run by TeraWulf and Cipher.
  • Anthropic: The AI lab leases capacity from TeraWulf and, via Fluidstack, from Hut 8.
  • Nvidia: The main chip supplier to neoclouds, and an investor in CoreWeave.

Taken together, the roster shows how deeply neocloud capacity is now woven into the AI plans of Big Tech and AI labs alike.

Is There a Neocloud?

No. Neoclouds are conventional companies. The closest crypto equivalent is decentralized physical infrastructure networks (DePIN) such as Render, Akash, and io.net. These projects use tokens to pay for GPU compute and to reward the people who provide it. They target the same market but run on a peer-to-peer model instead of company-owned data centers.

Where to Buy Neocloud Stocks

CoreWeave (CRWV), Nebius (NBIS), and IREN (IREN) trade on the Nasdaq and are available through mainstream brokerages. Several other listed Bitcoin miners turned AI hosts—including TeraWulf, Cipher, Hut 8, and Core Scientific—offer exposure to the AI hosting side of the business. Crypto-native compute tokens such as Render (RENDER) trade on major exchanges. All of these should be treated as high-risk, volatile assets.

The Future of Neoclouds

The sector is under heavy pressure. On October 14, 2026, Gartner predicted that "cost pressure and a lack of a differentiating business model" will force more than 80% of neocloud providers to stop operating independently by 2030. The research firm also estimated that more than $3.5 trillion of AI infrastructure spending could be exposed to impairment by the end of 2030 if AI providers keep spending at their current pace.

Credit markets have grown nervous as well. By October 21, 2026, CoreWeave's unsecured debt was yielding about 15%, and the cost of insuring its bonds against default had risen 30% in a month, according to CNBC. Its shares were down 29% for October, leaving the company valued at about $34 billion—against a peak of about $90 billion in 2025. Nebius fell 27% over the same period, even though it carries far less net debt, and IREN fell 32%.

The bull case is still alive. CoreWeave co-founder Brannin McBee has said nearly all of the company's 2027 capacity is already sold, with contracts running into 2028 and beyond. Whether neoclouds stay independent or end up owned by bigger players, demand for AI compute remains high. The open question is whether these companies can earn enough from that demand to pay back their debts.

From here, the markers to watch include Lambda's planned IPO, quarterly disclosures on how much future capacity is contracted, and further readings on the sector's borrowing costs—all set against a Gartner horizon that runs to 2030.

Disclaimer: This article is for informational purposes only and is not financial advice.