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Repair Windows errors before they cause bigger problemsFix Now →Scan for outdated or missing drivers - takes under a minuteDriver Scan →Clear out junk files and repair common Windows errorsFree Scan →Short answer: NVIDIA has not publicly transferred $100 billion to OpenAI. On September 22, 2025, the companies announced a letter of intent under which NVIDIA said it intended to invest up to $100 billion in OpenAI progressively as OpenAI deployed at least 10 gigawatts of NVIDIA systems. The announcement was not a completed investment, a binding final contract, or proof that one 10-gigawatt data center already exists.
What NVIDIA and OpenAI actually announced
The original announcement came on September 22, 2025. OpenAI and NVIDIA described a strategic partnership and letter of intent covering at least 10 gigawatts of NVIDIA systems for OpenAI’s training and inference workloads. NVIDIA said it intended to invest up to $100 billion in OpenAI as those systems were deployed.
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The first gigawatt was targeted for the second half of 2026 and was expected to use NVIDIA’s Vera Rubin platform. The companies’ announcements are available from OpenAI and NVIDIA.
| Term | What it means |
|---|---|
| “Up to $100 billion” | A maximum proposed investment, not an unconditional payment. |
| “At least 10 gigawatts” | A minimum planned scale for NVIDIA-powered systems and related infrastructure. |
| “Progressively” | Funding was described as occurring as deployment milestones were reached. |
| “Letter of intent” | A preliminary strategic framework, not the same as a fully disclosed definitive investment agreement. |
The public announcement did not disclose a final valuation, NVIDIA’s ownership percentage, a complete deployment timetable, or a site-by-site list. It also did not say that NVIDIA would pay the entire cost of land, buildings, power, financing, cooling, networking, and operations.
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Is NVIDIA investing $100 billion or paying for data centers?
The proposed $100 billion was described as an equity investment in OpenAI. That is different from NVIDIA directly funding every dollar of a data-center construction program.
OpenAI would still need infrastructure developers, landlords, utilities, lenders, cloud and colocation partners, and other suppliers. OpenAI could use new equity capital to buy NVIDIA systems, lease capacity, and arrange additional debt or project financing. In that structure, NVIDIA supplies capital to a major customer that may then purchase NVIDIA hardware—a commercially powerful loop, but not the same as NVIDIA writing a $100 billion construction check.
NVIDIA’s October 2025 investor presentation characterized the arrangement as up to $100 billion of equity invested as each gigawatt was built out and said OpenAI would buy directly from NVIDIA under the proposed structure. See the NVIDIA non-deal roadshow presentation.
What 10 gigawatts means
A gigawatt measures power capacity, not a number of chips and not a guaranteed amount of computing performance. In this context, 10 gigawatts describes the enormous electrical and computing infrastructure needed to operate the planned NVIDIA systems. NVIDIA and OpenAI said the buildout would represent millions of GPUs.
Several different power numbers can be involved
- Generation capacity: power produced by a gas, nuclear, renewable, or other source.
- Grid or utility capacity: what the transmission and distribution system can deliver.
- Facility capacity: the electrical capacity of a data-center campus.
- IT load: power available to servers, GPUs, storage, and networking.
- System power: electricity consumed by the NVIDIA equipment itself.
Those figures are related but interchangeable only with clearly stated assumptions. The original announcement did not provide a definitive site-by-site breakdown or establish whether the 10 gigawatts refers to one campus, several campuses, or multiple phases. It is therefore misleading to call it one completed 10-gigawatt building.
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How large could the capital requirement be?
Reuters analysis reported that NVIDIA CEO Jensen Huang had previously put the cost of building one gigawatt of AI data-center capacity at about $50 billion, including roughly $35 billion for NVIDIA chips and systems. Applied to 10 gigawatts, that would imply hundreds of billions of dollars in total infrastructure spending. It is an industry estimate, not a disclosed budget for the OpenAI project; the figures were discussed by Reuters, republished by Investing.com.
Under that estimate, a $100 billion NVIDIA equity commitment would be one financing component among many. Actual cost will depend on land, construction, transformers, networking, cooling, energy contracts, interest rates, equipment prices, and how much capacity is leased rather than owned.
How the plan relates to Stargate
OpenAI separately announced Stargate infrastructure work with Oracle, SoftBank, Microsoft, and other partners. The NVIDIA partnership is complementary to that wider ecosystem, but the announcements do not establish that every Stargate gigawatt is additional to every gigawatt in the NVIDIA plan.
Capacity should not be double-counted without a project-level allocation. OpenAI’s Stargate site announcement is at openai.com/index/five-new-stargate-sites/. A reported project can be part of several commercial relationships at once: an OpenAI workload, a SoftBank development, an Oracle or Microsoft service, and an NVIDIA hardware deployment are not automatically separate facilities.
What changed after the 2025 announcement?
September 22, 2025: preliminary partnership
The companies announced the letter of intent, the up-to-$100-billion progressive equity proposal, the at-least-10-gigawatt target, and a first-phase goal for the second half of 2026.
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October 2025: more detail on the proposed mechanics
NVIDIA’s investor presentation described equity investment occurring as each gigawatt was built out. It still did not disclose final ownership or valuation terms.
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Reuters reported that NVIDIA was in talks to provide a roughly $250 billion financing backstop for a SoftBank subsidiary’s proposed project in southern Ohio that OpenAI might lease. The report described a guarantee or backstop connected with project and lease financing, not a completed $100 billion equity investment in OpenAI. See the Investing.com-republished Reuters report and the Yahoo Finance version.
August 15–16, 2026: unconfirmed reports of a smaller backstop
Reports circulating on those dates said the possible guarantee may have been reduced to less than $120 billion and that OpenAI was still discussing a binding lease for the 10-gigawatt Ohio project. The available evidence for that update was secondary and did not include a confirmed primary filing, so it should be treated as reported negotiations rather than an executed agreement. A lead report was surfaced at Reddit.
Separately, February 2026 coverage questioned whether the original arrangement had materialized in its initially discussed form. That claim is consequential and should not be treated as settled without a company statement or primary filing; see Ars Technica for the secondary discussion.
Why would NVIDIA finance a major customer?
Potential strategic benefits
- Accelerating construction can bring GPU, CPU, networking, rack, and software sales forward.
- NVIDIA can help design facilities around its systems, interconnects, and power requirements.
- A large OpenAI deployment could reinforce NVIDIA’s ecosystem and increase switching costs.
- Equity exposure could give NVIDIA upside if OpenAI’s valuation and usage grow.
Financial and competitive risks
- NVIDIA could be financing demand for its own products, creating circular-financing concerns.
- A delayed or uneconomic build could hurt both the investment and expected hardware sales.
- A guarantee can create contingent liabilities without being an immediate cash outlay.
- NVIDIA would increase exposure to one customer, one model provider, and one AI-demand thesis.
- Competitors could argue that vendor-backed financing makes headline demand look stronger than end-user cash demand.
An equity investment is not automatically chip revenue. Hardware revenue would depend on orders, delivery, customer acceptance, and deployment. NVIDIA’s announcement also warned that investment amounts, product availability, timing, and deployment expectations are forward-looking and subject to risks.
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What the plan means for OpenAI
- Capacity: more assured access to advanced NVIDIA systems for training and inference.
- Planning: greater ability to coordinate power, facilities, networking, and model expansion.
- Financing: potentially lower financing friction for large projects.
- Dilution: an equity investment could reduce existing holders’ percentage ownership, depending on final terms.
- Dependence: OpenAI could become more reliant on one accelerator supplier and long-term infrastructure obligations.
- Technology risk: future accelerators may be more efficient or alternatives may become more competitive before all 10 gigawatts are deployed.
Infrastructure constraints that can delay the headline
Announced capacity becomes useful capacity only after a long chain of dependencies:
- Land acquisition, environmental review, local approvals, and building permits.
- Utility interconnection, transmission upgrades, transformers, switchgear, and power contracts.
- Cooling systems, water availability or alternative cooling, and heat-rejection infrastructure.
- Construction labor, semiconductor supply, racks, storage, optical links, and network equipment.
- Debt, leases, guarantees, tenant credit, interest costs, and insurance.
- Installation, testing, model deployment, and sustained operation at acceptable utilization.
A useful status ladder is: announced → financed → contracted → under construction → powered → accepting hardware → operational → revenue-producing. The 2025 announcement established an ambition, not completion on every rung.
What it means for NVIDIA, competitors, and investors
NVIDIA could gain incremental sales across GPUs, CPUs, networking, racks, and software while strengthening its position against AMD, Google’s TPUs, AWS Trainium and Inferentia, Microsoft’s Maia efforts, Broadcom custom-chip programs, and specialist cloud providers. OpenAI still has incentives to diversify suppliers to control cost, availability, and bargaining power; the NVIDIA partnership does not prove that OpenAI will use only NVIDIA hardware.
For investors, the key questions are whether a definitive investment agreement was signed, whether any equity closing occurred, what valuation and ownership resulted, and whether hardware purchase commitments are binding. A headline commitment is not the same as recognized revenue, operating data-center capacity, or a guaranteed return on NVIDIA’s investment.
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What to watch next
- A definitive investment agreement and the first equity closing.
- Public disclosure of valuation, ownership, dilution, and milestone triggers.
- Binding OpenAI purchase orders or long-term NVIDIA supply agreements.
- A signed Ohio lease, project-finance commitments, and permits.
- Utility interconnection approvals and construction commencement.
- The first energized megawatt, installed cluster, and revenue-producing workload.
How the commercial options differ for ordinary businesses
The proposed buildout concerns utility-scale infrastructure, not a consumer workstation. Organizations with smaller workloads generally choose among:
| Need | Typical option | Main trade-off |
|---|---|---|
| Occasional experimentation | Public cloud or notebook-style GPU service | Easy to start, but usage pricing and quotas can vary. |
| Recurring inference | Reserved cloud capacity or a specialist GPU provider | More predictable capacity, with contract and regional constraints. |
| Heavy training | Negotiated cloud contract, dedicated cluster, or owned infrastructure | Higher commitment and operational complexity. |
| Hardware diversification | Google TPU, AWS Trainium/Inferentia, or AMD Instinct | Potential savings or supply flexibility, but software migration may be required. |
Current prices for these services are region-, accelerator-, contract-, and availability-dependent. The available announcements do not establish a reliable 2026 hourly price, so a specific price should not be inferred from the OpenAI-NVIDIA figures.
The Bottom Line
Bottom line: The September 2025 announcement was a landmark proposal: NVIDIA intended to invest up to $100 billion in OpenAI progressively as OpenAI deployed at least 10 gigawatts of NVIDIA systems. It was not proof of a completed $100 billion transfer or one operating 10-gigawatt data center. Later Ohio financing reports involve a different, much larger proposed backstop and remain reported negotiations unless confirmed by definitive company filings.
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