Nvidia is turning cash into influence across AI. Its equity holdings swelled to $99 billion as of July 26, compared with about $7 billion a year before and approximately $2.2 billion two years earlier. The company has been more active in funding rounds across the AI landscape over the past 12 months, and it has more than $40 billion earmarked for 2026.
In August, Nvidia rolled out partnerships with large investment firms intended to mobilize over $500 billion to finance Nvidia GPUs. The company also pledged up to $105 billion in conditional credit to back an OpenAI data center in Ohio. On Thursday, the company said it intends to buy Hugging Face, the AI startup, for $12.9 billion.
The check-writing is specific. In January, Nvidia invested $2 billion in CoreWeave. In March, Nebius was reported to have secured a $2 billion investment. Colette Kress, Nvidia's Chief Financial Officer, told analysts the company had invested "nearly $50 billion in the frontier AI labs." In February, Nvidia most recently said it planned to put $30 billion into OpenAI within the company's $110 billion funding round.
Recipients range from frontier labs to neoclouds and makers of new AI software and hardware in both public and private markets, with Nvidia also leaning into optics. Since March, it has committed at least $6.5 billion to photonics and optical firms, including $2 billion each for Lumentum, Coherent and Marvell.
"By injecting capital directly into AI infrastructure financiers, specialized cloud providers and foundation model labs, Nvidia provides these startups with the balance sheet strength to purchase tens of thousands of Nvidia GPUs," said Naveen Chhabra, principal analyst at Forrester. He added, "Optics/networking specialists, like Coherent, receive investments to ensure their tooling, NVLink protocols and design engines remain strictly optimized for Nvidia's architecture," which "creates high switching costs and protects the CUDA software moat against competing accelerators from AMD or internal custom chips from cloud providers."
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Neoclouds such as Nebius and CoreWeave buy Nvidia GPUs and rent out access. Beyond cloud, Nvidia's $5 billion stake in Intel has climbed in value to $30 billion, and as of June, its SpaceX stake carried a valuation of $21 billion. According to Ian Fogg of CCS Insight, where he is the research director, "Nvidia has a clear interest in ensuring that its customers and partners prosper to provide future business for Nvidia," "Equity investments help companies to innovate, but also give Nvidia a degree of control to encourage companies to take a Nvidia-related innovation path." Fogg also noted, "In its most recent quarter, $48.7bn of $96.2bn revenue came from the Hyperscale segment which includes the largest cloud players," and pointed to moves like the $1bn Nokia equity investment as examples of nurturing new markets such as telecom.
Nvidia still rules the market for the high-end GPUs that power AI, and that dominance shows up in the numbers. Over the past 12 months, the stock rose 33 percent, and in its fiscal second quarter revenue jumped 106 percent to $96.2 billion. "Nvidia is needed to help power this flywheel," Kress said, explaining that frontier labs have "extraordinary" compute demand but are expanding faster than their balance sheets and credit ratings can support, making it hard to build AI factory infrastructure on their own. Chhabra said that as AI chip demand bumps into constraints around high-bandwidth memory and advanced packaging, Nvidia's strategic stakes, including in Intel, help secure manufacturing priority, reduce reliance on Asian foundries and steady key component supplies.
The run up in tech valuations has also lifted Nvidia's portfolio. That puts it among the world's heftiest strategic investors in tech, though it still sits behind longer-established giants like Alphabet and Amazon, which reported equity investments above $100 billion. Bottom line for your money: Nvidia is not just selling the shovels of the AI gold rush. It is buying into the mines, the railways and the power lines that feed them - from GPU financing and neoclouds to optics and chip manufacturing - all to widen growth paths, deepen its ecosystem and shore up its edge.
