> ## Content Index > Fetch the complete content index at: https://bytevyte.com/llms.txt > Use this file to discover other available public pages before exploring further. # Nvidia circles a $2.5 billion stake as Thinking Machines Lab funding talks target a $40 billion valuation - URL: https://bytevyte.com/nvidia-circles-a-2-5-billion-stake-as-thinking-machines-lab-funding-talks-target-a-40-billion-valuation/ - Published: 2026-09-04T15:11:29.000Z - Updated: 2026-09-04T15:11:29.000Z - Description: Nvidia is in talks on a $2.5B Thinking Machines Lab funding round that would value the AI startup near $40 billion, with Accel in line to lead. - Author: Bytevyte Editorial - Tags: ai-beats Nvidia is in talks to invest about $2.5 billion in Thinking Machines Lab, the AI startup founded by Mira Murati after she left her post as chief technology officer at OpenAI. The Thinking Machines Lab funding talks surfaced in early September 2026 and, if they close, would value the company near $40 billion. Neither side has confirmed the figures, and the deal is not guaranteed. Negotiations are described as running on two tracks. Venture firm Accel is in discussions to lead a primary raise of at least $1 billion, while Nvidia's potential contribution is negotiated either inside that event or alongside it, depending on which account of the talks proves accurate. The distinction matters because the combined total decides how much capital the lab can commit to compute and hiring. If both pieces close, the raise would exceed $3 billion at a valuation near $40 billion. On post-money terms, Nvidia's check would translate into roughly a 6 percent stake before accounting for other participants, with Accel's $1 billion adding about 2.5 percent more. The descriptions of the talks differ in one telling way, with one framing the valuation as roughly $40 billion and the other as at least that level. The gap signals that the final number may land above the reported mark if demand for the round runs hot. Anchor rounds of this kind often expand, so the $1 billion attached to the Accel tranche could turn out to be an opening figure rather than the final one. ## Inside the Thinking Machines Lab funding talks A valuation near $40 billion reveals what the market believes the lab's assets are worth. Two stand out: the founder's record running frontier AI development at OpenAI, and guaranteed access to next-generation Nvidia systems at gigawatt scale. Committed high-end compute on that level is scarcer than capital in the current cycle, and the price tag appears to treat the supply agreement as a core asset rather than a footnote. The arithmetic carries a second signal. Nvidia's prospective check is more than double the size of the primary round that Accel is said to lead, which suggests the real raise is larger than the headline figure, or that the strategic investment runs outside the round entirely. A single-investor position of $2.5 billion gives Nvidia real influence over future financing decisions and major strategic turns without making it a controlling owner. The valuation is also a bet on founder pedigree. Murati held the top technical role at OpenAI before founding the lab, and investors are effectively testing whether that experience transfers to a new organization. For a company whose public milestones are still measured in months, a mark near $40 billion says the market weights proven frontier-AI leadership more heavily than an established revenue record. A venture lead alongside a strategic investor also implies the pricing was set by broader market demand rather than by Nvidia alone. ## Why Nvidia is buying into the customer that buys from it The equity talks extend a relationship that was already financial. In March 2026, Thinking Machines Lab signed a partnership with Nvidia that included a commitment to supply 1 gigawatt of next-generation AI systems, and that agreement positioned Nvidia as both an investor and the startup's infrastructure supplier. A new stake would deepen that bond rather than create it, and six months is a short window between the two milestones. The earlier holding also means the $2.5 billion would layer onto ownership Nvidia already controls, so the supplier's combined influence would exceed what the fresh check alone suggests, even though the size of that first position has never been disclosed. The strategic logic runs in both directions, with the supply deal as the hinge. A $2.5 billion equity check written into a customer committed to buying 1 gigawatt of Nvidia systems is money that largely returns to Nvidia's order book as the hardware ships. If the lab succeeds, Nvidia collects on the hardware margin and on the appreciation of its stake at the same time. A defensive motive sits under that arithmetic. Frontier labs count among the largest buyers of Nvidia's most advanced systems, and each one has a commercial reason to diversify its silicon sources over time. Ownership does not stop a customer from switching suppliers, but it gives Nvidia a reason to stay close to its biggest accounts and softens the financial impact if procurement choices shift. Since Nvidia sells to the lab's competitors as well, those customers will watch the arrangement closely. The concentration risk sits on the startup's side. Taking $2.5 billion from the company that provides your most critical input puts capital structure and compute access in the same hands. If Thinking Machines Lab later wants to renegotiate pricing, change architecture, or source accelerators elsewhere, it would be pushing against a shareholder with deep visibility into its plans. The counterweight is the bundle itself. One signature secures cash and guaranteed compute at gigawatt scale, which is the main reason a founder would accept that concentration. Nothing is signed, and the talks may still end without a deal. If they do, Thinking Machines Lab still has the Accel-led round at the same valuation, while Nvidia keeps its existing stake and its March supply agreement, a fallback that limits the downside for both sides. The asymmetry in that outcome favors the startup, which loses no access to capital or compute even if the strategic check never arrives. The scale of the raise is a statement about frontier AI economics. Even a lab that locked in a gigawatt-scale supply commitment in March needs billions more in cash by September to fund the training runs that hardware will power, which makes the compute bill the industry's dominant cost center. Companies that buy frontier models will feel that cost structure through pricing, because every one of these rounds is eventually repaid by the customers of the models the lab ships. For strategists watching the sector, the open questions are the final ownership percentages, whether Nvidia takes a seat on the board, and the delivery schedule behind the gigawatt commitment. Those details will determine how much influence the supplier actually gains over a customer it already sells to. ## Why this matters When the largest seller of AI hardware holds a meaningful ownership position in its biggest customers, procurement stops being a purely commercial conversation. A closed deal would hand Thinking Machines Lab the capital and the compute position to scale quickly, raising the competitive pressure on other labs and giving enterprise buyers one more reason to track who finances the models they depend on. The six-month path from a supply agreement to a multi-billion-dollar equity stake is the part worth remembering. Photo by [Brecht Corbeel](https://unsplash.com/@brechtcorbeel?utm%5Fsource=bytevyte&utm%5Fmedium=referral) on [Unsplash](https://unsplash.com/?utm%5Fsource=bytevyte&utm%5Fmedium=referral) ## Related Articles - [Nvidia Hugging Face Acquisition: What $12.93B Buys at the Open Model Hub](https://bytevyte.com/nvidia-hugging-face-acquisition-what-12-93b-buys-at-the-open-model-hub/) - [Nvidia Hugging Face Acquisition: A $12.9B Power Shift That Outruns the Evidence \[Update\]](https://bytevyte.com/nvidia-hugging-face-acquisition-a-12-9b-power-shift-that-outruns-the-evidence-update/) - [Nvidia Hugging Face Acquisition: A $12.9B Open-Source Test \[Update\]](https://bytevyte.com/nvidia-hugging-face-acquisition-a-12-9b-open-source-test-update/) ✔Human Verified --- *Researched and cross-referenced against primary sources by the Bytevyte editorial team. This article was generated with the assistance of artificial intelligence and reviewed by the Bytevyte editorial team.*