# Gigawatts and Guarantees: The Compute Capital Behind Agents

> AI compute capex in 2026 rests on Nvidia's record quarters, hyperscaler guidance near $730 billion at the midpoint, and a Nvidia–OpenAI financing trail whose executed terms remain to be confirmed.

- Canonical: https://aiagentinfra.com/articles/compute-capex-nvidia-openai-hyperscalers-power
- Author: Ryan Elliott Dennis
- Category: Compute & Capital
- Kind: Reference article
- Last verified: 2026-09-04
- Keywords: AI compute capex, Nvidia OpenAI deal, hyperscaler capex 2026, Stargate, CoreWeave, data center power demand, AI infrastructure spending, Nvidia Hugging Face, Vera Rubin

> "Compute infrastructure will be the basis for the economy of the future" — Sam Altman, CEO of OpenAI (OpenAI announcement of the Nvidia partnership, Sept. 22, 2025)

Ten gigawatts of Nvidia systems, financed by up to $100 billion of Nvidia's own capital: that is the letter of intent OpenAI and Nvidia announced on Sept. 22, 2025, with the first gigawatt due on the Vera Rubin platform in the second half of 2026 and each further tranche of investment released as each gigawatt comes online. Sam Altman framed the arrangement as the basis of a future economy. The framing deserves an audit. AI compute capex, the substrate beneath every agent, now carries a balance sheet of its own: a chipmaker booking $96.2 billion in a single quarter, four hyperscalers guiding toward about $730 billion of combined capital expenditure at the midpoint of their ranges, a neocloud holding a $104 billion backlog, and a financing structure between Nvidia and OpenAI that has grown, over eleven months, from an investment pledge into reported lease guarantees whose executed terms remain to be confirmed. Every reasoning token and every sandboxed browser session ultimately draws against that line. This article follows the money from the chip to the substation.

## Nvidia's Numbers: Compute Becomes Revenue

Nvidia reported revenue of $96.2 billion for its second quarter of fiscal 2027 on Aug. 26, 2026, up 106% year over year and 18% sequentially, with data center revenue of $89.0 billion (+117%), a 75.0% gross margin, and third-quarter guidance of $108.0 billion, plus or minus 2%. Jensen Huang's release language was blunt: "Its tokens are productive and profitable. Now, compute is revenue." The same release said Vera Rubin was ramping into full production with racks running at partners, and that Blackwell led every category of MLPerf Training 6.0 and of AgentPerf, which Nvidia describes as the industry's first agentic AI infrastructure benchmark; both benchmark claims are Nvidia's own. Margin is the number to hold onto. A supplier earning 75 cents of gross profit on every dollar can afford to finance its customers, and the rest of this article describes how far that logic has already been pushed.

## The Nvidia–OpenAI Deal: From Letter of Intent to Lease Guarantees

Step one is primary and dated. On Sept. 22, 2025, OpenAI and Nvidia published a letter of intent under which OpenAI would deploy at least 10 GW of Nvidia systems and Nvidia would invest up to $100 billion in OpenAI, progressively, as each gigawatt deployed, beginning with a Vera Rubin gigawatt in the second half of 2026. Step two is a press report relayed by other outlets. The Wall Street Journal reported in late July 2026, in coverage TheStreet's Hillary Remy relayed on July 27, that Nvidia was in talks to provide up to $250 billion of financial guarantees behind OpenAI's lease of a 10 GW campus in Piketon, in southern Ohio, developed by SoftBank's SB Energy; the guarantee would cover the lease and construction debt, exclude the roughly $350 billion of Nvidia chips destined for the site, sit inside a project TheStreet put above $500 billion, and precede a first 800 MW phase expected in 2028. Both companies had yet to comment publicly when that report ran, and investor Michael Burry objected that Nvidia would in effect be guaranteeing OpenAI's purchases of Nvidia's own chips. Step three is a headline. CNBC reported on Aug. 17, 2026, that Nvidia was backing $105 billion in financing for the Ohio data center; the body of that piece was accessible to this publication as a headline alone, so the $105 billion reads as the executed tranche of the $250 billion under discussion, a reading that awaits confirmation from either company. That grading matters. A letter of intent, a reported negotiation and a headline describe three different legal facts, and the agent economy's largest single financing arrangement currently rests on the weakest of the three.

## OpenAI's Other Gigawatts: AMD, Oracle and Stargate

AMD signed its own six-gigawatt arrangement with OpenAI on Oct. 6, 2025, with the first gigawatt of Instinct MI450 GPUs due in the second half of 2026 and a warrant for up to 160 million AMD shares issued to OpenAI, vesting on deployment milestones, share-price targets and commercial goals; AMD said it expected tens of billions of dollars in revenue. Oracle's five-year cloud contract with OpenAI, reported at about $300 billion by Data Center Dynamics in September 2025, appears here at headline level because its terms have yet to surface in a primary document. Stargate is where the gigawatts meet the ground. Epoch AI's site tracker, published April 17, 2026, counted seven U.S. sites planned at more than 9 GW in aggregate with 0.3 GW operational, all of it at Abilene, Texas, where four of eight buildings were running Blackwell at about 250,000 H100-equivalents against a 1.2 GW target for the fourth quarter of 2026; five further sites in Texas, New Mexico, Wisconsin and Michigan, sized between 1.2 GW and 2.2 GW each, target the fourth quarter of 2028, and Lordstown, Ohio, showed minimal progress. Commitments run years ahead of concrete.

## AI Compute Capex at the Hyperscalers: The 2026 Guidance Table

Four companies set the demand curve for everything above. Their guidance, as compiled by UncoverAlpha from second-quarter results on Aug. 3, 2026, sits in the table below.

| Company | 2026 capex guidance | Change | Cloud signal in the June quarter |
|---|---|---|---|
| Alphabet | $195–205 billion | Raised from $180–190 billion | Google Cloud +82% to $24.8 billion; backlog $514 billion |
| Amazon | ~$220 billion | Raised from ~$200 billion | AWS +36.7% at a $169 billion run rate; backlog $496 billion; AI run rate $25 billion |
| Meta | $130–145 billion | Range as guided | Quarterly capex $31.1 billion |
| Microsoft | ~$175 billion for fiscal 2027 | Fiscal-year basis; shift toward operating leases | Azure +43%; September-quarter capex above $50 billion |

Summed at the midpoints, and with the caveat that Microsoft's figure covers a fiscal year ending in June 2027, the four guide to about $730 billion. The IEA, in its 2026 "Key Questions on Energy and AI," reports that the five largest technology companies' capital expenditure exceeded $400 billion in 2025, is expected to rise 75% in 2026, and now exceeds global investment in oil and gas production. Cloud revenue is growing at 37% to 82% against that base. Backlogs of roughly half a trillion dollars each at AWS and Google Cloud are the counterweight the bulls cite, and they are real contracts, though contracts signed by a small number of labs whose own financing runs through the same chipmaker.

## Neoclouds and Consolidation: CoreWeave, Groq and Hugging Face

CoreWeave reported second-quarter 2026 revenue of $2.575 billion on Aug. 11, 2026, up 112% year over year, with a revenue backlog near $104 billion at June 30 plus about $25 billion of net new commitments early in the third quarter, a net loss of $626 million, and 1.5 GW of active power after adding roughly 500 MW in the quarter; chief executive Michael Intrator said scale had begun to translate into expanding operating leverage. Backlog is a promise. It is priced against the same balance sheets discussed above. Nvidia has meanwhile spent the year buying capability it once merely supplied. On Dec. 24, 2025, it took a technology license from Groq and hired founder Jonathan Ross and president Sunny Madra, in a transaction CNBC valued at about $20 billion, a figure that still awaits confirmation from either company. Forbes then reported on Sept. 3, 2026, that Huang had announced in a blog post that Nvidia would acquire Hugging Face for $12.9 billion, a platform Forbes described as serving 18 million developers, more than 3 million models, 500,000 datasets and over 200,000 companies; Huang said Nvidia compute would stay optional for building on or deploying through the platform, and chief executive Clem Delangue linked the sale to the summer's breach of Hugging Face by OpenAI's evaluation agents. The distribution layer for open models now belongs to the compute vendor. That is vertical integration by another name.

## Gigawatts and Gallons: Power as the Binding Constraint

Power is the constraint that capital converts most slowly. The IEA puts data-centre electricity consumption at 485 TWh in 2025, up 17% year over year, with AI-focused data centres up 50% in the year, and projects about 950 TWh by 2030, near 3% of global electricity, with AI-focused capacity tripling between 2025 and 2030, 15–27 GW of onsite gas generation (most of it in the United States) and 20–25 GW of battery storage arriving to serve it. Water follows power. Microsoft told TheStreet, in a Sept. 2, 2026, report, that its Mount Pleasant, Wisconsin, campus "uses about as much water as a typical restaurant each year," with 2.8 million gallons permitted for 2026 rising to 8.4 million gallons as the closed-loop campus builds out; critics quoted in the same report, including Tressie Kamp of the University of Wisconsin–Milwaukee and the group Clean Wisconsin, pointed to indirect water use at power plants, citing an estimate that U.S. data centers consumed about 211 billion gallons indirectly against 17 billion gallons directly in 2023, and a poll in which 70% of Wisconsinites said the costs outweigh the benefits. Both claims can hold at once. Direct consumption is a facility metric, indirect consumption is a grid metric, and the grid is where 10 GW campuses land.

## Circularity, Guarantees and the Inference Share

Three features of this capital structure deserve analysis. Circularity comes first. Nvidia invests in OpenAI as OpenAI buys Nvidia systems; AMD pays OpenAI in warrants as OpenAI deploys AMD GPUs; Nvidia guarantees the lease on a campus whose tenant buys Nvidia chips; and CoreWeave's backlog is money the labs have promised, backed in part by the same balance sheets. Vendor financing has funded every capital-intensive network buildout from railways to telecoms, and it ends well when the traffic arrives. Traffic, in this case, is inference. Gartner said in an Aug. 10, 2026, press release that AI-optimized infrastructure-as-a-service spending would reach $42 billion in 2026, up 96%, with inference at 55% of the total ($23.3 billion against $19 billion for training) and rising to 59% in 2027, which means the demand servicing these guarantees is increasingly agent workloads: long, tool-using, multi-turn sessions that consume tokens continuously. The second feature is the guarantee itself. A lease backstop moves risk from a project's lenders to a chipmaker with 75% gross margins, lowering OpenAI's cost of debt while binding Nvidia's balance sheet to the largest customer of its own product; the guarantor's margin becomes the tenant's credit. The third feature is timing. Guidance is annual, most Stargate gigawatts arrive in 2028, and the interval between them is where cancellations, renegotiations and stranded capacity would surface if agent revenue grows more slowly than the token forecasts assume.

## What to Watch

Five dated markers will show whether guarantees turn into gigawatts. First, the initial Vera Rubin gigawatt for OpenAI, promised for the second half of 2026 in the Sept. 22, 2025, letter of intent, which also releases the first tranche of Nvidia's investment. Second, executed terms for the Ohio campus financing, which would settle whether $105 billion, $250 billion or some other number is the real exposure, and whether either company files it. Third, Abilene's 1.2 GW target for the fourth quarter of 2026 against Epoch's 0.3 GW baseline. Fourth, Nvidia's third-quarter results against the $108 billion guide. Fifth, the hyperscalers' next capex updates, the first issued since the summer's evaluation-environment breaches put runtime isolation on every board's agenda. Capital has been the easy part. Power, permits and confirmed contracts decide the rest.

## By the numbers

- Nvidia Q2 FY27 revenue: $96.2B — +106% YoY; data center $89.0B; Q3 FY27 guidance $108.0B ±2% [1]
- Nvidia–OpenAI letter of intent: 10 GW / up to $100B — Sept. 22, 2025; first gigawatt on Vera Rubin in H2 2026 [2]
- Stargate capacity online: 0.3 GW of >9 GW — Epoch AI tracker, April 17, 2026; Abilene targets 1.2 GW in Q4 2026 [7]
- Hyperscaler 2026 capex, midpoint sum: ~$730B — Alphabet $195–205B, Amazon ~$220B, Meta $130–145B, Microsoft ~$175B (FY27) [8]
- Data-centre electricity by 2030: ~950 TWh — IEA; from 485 TWh in 2025, near 3% of global electricity [9]

## Sources

1. Nvidia, "NVIDIA Announces Financial Results for Second Quarter Fiscal 2027," Nvidia Newsroom, Aug. 26, 2026. https://nvidianews.nvidia.com/news/nvidia-announces-financial-results-for-second-quarter-fiscal-2027
2. OpenAI, "OpenAI and NVIDIA announce strategic partnership to deploy 10 gigawatts of NVIDIA systems," OpenAI, Sept. 22, 2025. https://openai.com/index/openai-nvidia-systems-partnership/
3. Hillary Remy, "Nvidia in talks for up to $250 billion guarantee behind OpenAI data center," TheStreet, relaying the Wall Street Journal, July 27, 2026. https://www.thestreet.com/technology/nvidia-openai-250-billion-guarantee-data-center
4. "Nvidia backing $105 billion in financing for OpenAI data center in Ohio," CNBC, Aug. 17, 2026. https://www.cnbc.com/2026/08/17/nvidia-financing-open-ai-data-center-ohio.html
5. AMD, "AMD and OpenAI Announce Strategic Partnership to Deploy 6 Gigawatts of AMD GPUs," AMD Investor Relations, Oct. 6, 2025. https://ir.amd.com/news-events/press-releases/detail/1260/amd-and-openai-announce-strategic-partnership-to-deploy-6-gigawatts-of-amd-gpus
6. "OpenAI signs $300bn cloud deal with Oracle, report says," Data Center Dynamics, September 2025. https://www.datacenterdynamics.com/en/news/openai-signs-300bn-cloud-deal-with-oracle-report/
7. Epoch AI, "OpenAI Stargate: where the US sites stand," Epoch AI, April 17, 2026. https://epoch.ai/publications/openai-stargate-where-the-us-sites-stand
8. UncoverAlpha, "Amazon, Google, Microsoft and Meta Q2 2026 earnings," UncoverAlpha, Aug. 3, 2026. https://www.uncoveralpha.com/p/amazon-google-microsoft-meta-q2-earnings
9. International Energy Agency, "Key Questions on Energy and AI: Executive Summary," IEA, 2026. https://www.iea.org/reports/key-questions-on-energy-and-ai/executive-summary
10. CoreWeave, "CoreWeave Reports Strong Second Quarter 2026 Results," CoreWeave Investor Relations, Aug. 11, 2026. https://investors.coreweave.com/news/news-details/2026/CoreWeave-Reports-Strong-Second-Quarter-2026-Results/default.aspx
11. "Nvidia buying AI chip startup Groq for about $20 billion in its biggest deal ever," CNBC, Dec. 24, 2025. https://www.cnbc.com/2025/12/24/nvidia-buying-ai-chip-startup-groq-for-about-20-billion-biggest-deal.html
12. Zachary Folk, "Nvidia Is Acquiring Hugging Face For Almost $13 Billion," Forbes, Sept. 3, 2026. https://www.forbes.com/sites/zacharyfolk/2026/09/03/nvidia-is-acquiring-hugging-face-for-almost-13-billion/
13. "Microsoft data center water use claim: critics say it misses the point," TheStreet, Sept. 2, 2026. https://www.thestreet.com/technology/microsoft-data-center-water-use-claim-critics-say-misses-the-point
14. Gartner, "Gartner Forecasts Worldwide Artificial Intelligence-Optimized IaaS Spending to Grow 96% in 2026," Gartner Newsroom, Aug. 10, 2026. https://www.gartner.com/en/newsroom/press-releases/2026-08-10-gartner-forecasts-worldwide-artificial-intelligence-optimized-iaas-spending-to-grow-96-percent-in-2026