$30bn went to OpenAI; the rest is spread across CoreWeave, IREN, Corning, Nebius, and roughly two dozen private rounds. The pattern is closer to vertical integration than to venture investing, and is starting to draw the inevitable circular-deal questions.
NVIDIA has committed more than $40 billion to AI equity investments in the first four months of 2026, CNBC reported, citing public filings and corporate disclosures.
The single largest line in that total is the $30 billion the chipmaker put into OpenAI in late February. The remaining $10 billion-plus is spread across seven multi-billion-dollar deals in publicly traded companies, plus roughly two dozen private startup rounds.
On the public side, the disclosed cheques include up to $3.2 billion in Corning, the optical-fibre and ceramics maker that supplies AI-data-centre fabric, and up to $2.1 billion in IREN, the data-centre operator that is converting from Bitcoin mining toward GPU compute.
Both took the form of warrants or structured commitments rather than straight equity, with cash outflow timed at Nvidia’s discretion. The chipmaker also added to its CoreWeave and Nebius positions during the period.
The CoreWeave stake, $2 billion last January, is now valued at roughly $4.4 billion and represents about 28% of Nvidia’s listed equity portfolio.
The $2bn Nebius investment in March is smaller in dollar terms but carries an explicit five-gigawatt deployment commitment; the new $2.1bn warrant on IREN sits on a similar logic.
The pattern across these is consistent: capital flows to companies that buy Nvidia GPUs at scale and re-rent them to hyperscalers and frontier-model builders, a structure the industry now calls a neocloud.
NVIDIA’s own framing of the strategy is straightforward. CFO Colette Kress said on the most recent earnings call that the company invests where it sees a need to ensure that compute capacity is being built around its hardware.
Last fiscal year, the company put $17.5 billion into private companies and infrastructure funds, primarily early-stage startups, according to its 10-K. The 2026 pace already exceeds the previous full year.
The investments themselves are mostly small relative to Nvidia’s roughly $200 billion in cash and equivalents, which means they do not strain the balance sheet; what matters is what they signal about how the chipmaker views its place in the AI value chain.
That place is increasingly upstream and downstream of the chip itself. The OpenAI investment is not a standalone bet; it is paired with multi-year compute commitments and silicon roadmap alignment.
The CoreWeave and Nebius positions come with capacity reservations and joint-architecture agreements. The Corning investment supports the optical-interconnect supply chain Nvidia depends on for next-generation data-centre fabrics.
Looked at end-to-end, Nvidia is buying influence over how its silicon is paid for, deployed, and connected. Some analysts call this vertical integration; others call it circular financing.
The circular-deal critique has gained traction over the past two quarters. NVIDIA takes a position in a company; that company then signs a long-term GPU purchase commitment with NVIDIA; some of the GPU revenue flowing back to NVIDIA could be characterised as a return on the same equity it just invested.
Oracle’s $300bn OpenAI deal and the concentration concerns it has triggered is the most-cited example of the broader problem; concentration of revenue counterparties was one of the reasons analysts have been more cautious on Oracle even as headline numbers grow.
The pattern with Nvidia’s smaller portfolio companies is the same shape, just with more counterparties.
There are reasons the comparison is partly unfair. Nvidia’s investments are usually minority positions in companies that have plenty of other customers; Meta’s $21bn add-on with CoreWeave demonstrates that CoreWeave’s customer base is broader than Nvidia.
Mistral AI, Wayve, Lambda Labs, Genesis Therapeutics, Recraft and JetBrains are all customers or investments that have independent commercial logic.
The criticism applies more sharply to deals where Nvidia is both a meaningful equity investor and a contractually committed customer of the same company; CoreWeave’s $6.3 billion capacity-purchase agreement with Nvidia is the most-cited case of that.
The bigger question is what happens to the portfolio when AI compute demand normalises. Most of Nvidia’s bets are financially small relative to the parent’s revenue and cash position, so a write-down event would not impair the core business.
The more important risk is reputational. Each new deal that looks structurally similar to a previous one adds to the perception that Nvidia is bankrolling its own demand curve.
Both Wall Street and the SEC are starting to ask whether the disclosure regime around these arrangements is keeping pace with their scale.
For now, the strategy is producing the outcome Nvidia wants. AI infrastructure capacity is being built where Nvidia silicon runs, model providers are securing compute they could not otherwise have built independently, and the chipmaker’s data-centre revenue is growing accordingly.
The 2026 pace of equity commitments suggests Nvidia intends to keep writing the same kind of cheque for as long as the demand-supply mismatch persists.
CNBC’s count of seven public-market multi-billion deals plus 24 or so private rounds is, on its own terms, a record-setting tempo. It also positions Nvidia as the largest single source of AI infrastructure financing in the market, alongside the major hyperscalers.
The role suits Jensen Huang’s narrative about being the platform of the AI era. Whether it suits the auditors and the regulators is the next question.
Stephan is the sports journalist for the Maple Grove Report.
