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Nvidia’s next deals are most likely to support the infrastructure behind AI: computing capacity, data centers, power, networking, optics and the companies that need those resources. That is a forecast from its disclosed partnerships and investments, not a confirmed list of future targets. The headline’s $100 billion refers to a 2025 intention tied to deploying systems for OpenAI—not a completed investment.
What the $100 billion figure actually means
On September 22, 2025, Nvidia and OpenAI announced a letter of intent covering at least 10 gigawatts of Nvidia systems. Nvidia said it intended to invest up to $100 billion progressively as each gigawatt was deployed, with the first phase targeted for the second half of 2026. A letter of intent and a deployment-linked intention are not proof that the full amount was invested.
That arrangement should also be kept separate from OpenAI’s February 2026 funding round. The Associated Press reported that Nvidia committed $30 billion to that round. On October 2, Cinco Días, citing The Information, reported that Nvidia and SoftBank each paid the remaining $10 billion of their respective $30 billion round commitments. That payment update is secondary reporting; Nvidia’s latest quarterly filing available here, dated July 26, does not confirm it. The status of the original deployment milestones is likewise not established by that filing.
Where Nvidia’s next deals are most likely to go
Financing and operating AI infrastructure
Nvidia’s August 10, 2026 announcement of preliminary memoranda with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR points to a role in helping bring more financing to AI infrastructure. The stated aim is to mobilize more than $500 billion in third-party capital over time. That is a capital-mobilization target, not money Nvidia says it will invest, and the SEC filing cautions that the preliminary arrangements may not lead to definitive agreements.
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The company’s AI-cloud arrangements offer another clue. In this model, selected cloud providers buy Nvidia infrastructure while Nvidia makes commitments to buy cloud services. As of July 26, 2026, Nvidia reported $36 billion in these service commitments, typically running for six years. The filing says the commitments decline as third-party customers or Nvidia use the capacity; some arrangements may include revenue sharing. This kind of commercial support can help an operator secure financing, but it is not the same as Nvidia taking an equity stake.
Components that ease hardware bottlenecks
Nvidia’s disclosed deals point beyond AI-model companies and cloud operators. It announced a $2 billion investment in Coherent alongside a multiyear agreement involving optics research, manufacturing capacity, purchase commitments and future capacity rights. It also announced a $2 billion investment in Marvell, with collaboration on custom XPUs, NVLink Fusion, networking, silicon photonics and AI-RAN.
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Those moves make suppliers of optics, networking and custom silicon plausible areas for further strategic activity. They do not establish that Nvidia has selected additional targets. The logic is that scaling AI systems requires more than processors: the components that connect and move data through those systems can also constrain deployment.
AI clouds, model developers and specialized compute
Nvidia’s fiscal 2026 results described an investment and technology partnership with Anthropic, a non-exclusive Groq licensing agreement, expanded work with AWS and plans with CoreWeave to build AI-factory capacity. Taken together, these examples show a range of approaches—equity, licensing and commercial collaboration—rather than one uniform acquisition strategy.
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Further support for AI clouds, model developers and inference providers would fit Nvidia’s interest in growing demand for its platforms. But customer relationships are not a guarantee of lasting hardware dependence: some customers are also developing alternatives to Nvidia hardware.
Sites, power and data-center capacity
Nvidia’s filing identifies land, power, data-center shells and capital as essential to infrastructure expansion, and warns that shortages can affect revenue and performance. That makes site development and access to power plausible strategic priorities. It also means the opportunity depends on practical execution: a financed project cannot deliver computing capacity until sites are built, powered and brought into service.
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How to read Nvidia’s reported commitments
The company’s July 26, 2026 filing reports several measures that describe different kinds of exposure. They should not be added together as though each were cash already invested.
| Reported item | Amount and status | What it represents |
|---|---|---|
| Equity investments | $99 billion as of July 26, 2026 | Nvidia’s company-wide reported equity investments; not an OpenAI-only subtotal. |
| Equity investment commitments | $25 billion as of July 26, 2026 | A separate company-wide commitments measure, not the same as completed investments. |
| AI-cloud service commitments | $36 billion as of July 26, 2026; typically six-year commitments | Commitments to buy cloud services under arrangements with selected AI-cloud partners. |
| OpenAI campus guarantees | Up to $105 billion in aggregate, subject to conditions | Contingent guarantees for a specific campus. Exposure rises as facilities enter service and falls as OpenAI fulfills lease payments; this is not equity or an automatic cash outlay. |
| AI infrastructure financing platform | More than $500 billion in third-party capital targeted for mobilization over time | A goal attached to preliminary MOUs announced August 10, 2026—not Nvidia investment. |
These categories carry different cash-flow and risk profiles. Equity can rise or fall in value; a service commitment depends on future use and customer demand; a guarantee is contingent on its terms; and an MOU may never become a definitive agreement.
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What this forecast means for Nvidia investors
The clearest signal is strategic, not predictive: Nvidia is using multiple forms of capital and partnership to expand the ecosystem around its hardware. That can support demand and address constraints in compute deployment, but it also links the company more closely to counterparties, infrastructure projects and financing conditions.
- Track the instrument, not just the headline amount. Ask whether a disclosure is an equity investment, a commitment, a supplier purchase arrangement, a service contract, a guarantee or a preliminary agreement.
- Separate Nvidia’s money from other investors’ money. A capital-mobilization target says something different from a company-funded investment.
- Watch execution and customer demand. Construction, power access, capacity utilization and counterparties’ ability to meet obligations affect whether infrastructure plans translate into operating capacity.
For personal investors, the scale of Nvidia’s dealmaking does not by itself establish that a deal will earn an attractive return or that the stock is fairly valued. A forecast about where the company may deploy capital is not a substitute for assessing its financial results, valuation and risk tolerance.
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