Analyst(s): Brendan Burke
Publication Date: August 20, 2026
NVIDIA will provide credit support for the land, power, and shell buildout at SB Energy’s PORTS-Pike Technology Campus in Ohio, where OpenAI will lease 8 IT-GW of AI factory capacity for 20 years. NVIDIA will also invest $1.5 billion in SB Energy and deploy its full-stack DSX platform at the site. Futurum sizes the unstated backstop from NVIDIA’s own per-gigawatt revenue math and examines what exclusivity bought.
What Is Covered in This Article:
- The August 17 announcement: NVIDIA secured land, power, and shell (LPS) capacity at SB Energy’s PORTS-Pike Technology Campus in Pike County, Ohio, which will exclusively host NVIDIA AI compute, with OpenAI as the customer for 8 IT-GW under a 20-year lease.
- NVIDIA provides credit support on the initial 4.25 IT-GW with an option on the remaining 3.75 IT-GW and invests $1.5 billion in SB Energy.
- NVIDIA’s guarantee closes the largest single campus in OpenAI’s pipeline to both AMD and Broadcom.
- The campus will run NVIDIA’s full-stack DSX AI factory platform only one week after NVIDIA’s $500 billion compute financing platforms positioned DSX reference designs as underwriting infrastructure, a confirmation Futurum flagged as a watch item.
- SB Energy and SoftBank will build at least 10 GW of new generation and invest at least $4.2 billion in regional grid infrastructure with AEP Ohio, with capacity phasing in from 2028 and an $80 million community benefits fund.
The News: NVIDIA announced on August 17 that it has secured land, power, and shell (LPS) capacity through a partnership with SB Energy at the PORTS-Pike Technology Campus in Pike County, Ohio, which will exclusively host NVIDIA AI compute. OpenAI will be the customer for 8 IT-GW of AI factory capacity, and SB Energy will build, own, and operate the data center under a 20-year lease to OpenAI. NVIDIA will provide credit support on the land, power, and shell buildout to secure the initial 4.25 IT-GW, with an option to take the remaining 3.75 IT-GW, and will invest $1.5 billion in SB Energy, joining existing investors SoftBank Group and OpenAI. The campus, which is reindustrializing the decommissioned Portsmouth Gaseous Diffusion Plant in collaboration with AEP Ohio, the US Department of Energy, and the US Department of Commerce, is expected to come online in phases beginning in 2028. The site will deploy NVIDIA’s full-stack DSX AI factory platform, including GPUs, CPUs, and networking.
“We are securing long-lived infrastructure for NVIDIA compute so OpenAI can deploy the most productive AI factories that can be upgraded repeatedly with each new generation delivering more intelligence and better economics,” said Jensen Huang, Founder and CEO of NVIDIA. “This is going to be a huge site, with enough computing power to help millions of people use AI to do things we can only start to imagine today, from finding new medicines to starting businesses and solving hard problems,” said Sam Altman, CEO of OpenAI. Goldman Sachs and JP Morgan advised SB Energy; Morgan Stanley advised NVIDIA.
NVIDIA’s Credit Support Buys Exclusivity at OpenAI’s Ohio Data Center
Analyst Take: Futurum ended our analysis of NVIDIA’s $500 billion compute financing platforms with a specific watch item: confirmation of the reported backstop for an OpenAI facility in Ohio, a question Jensen Huang had declined to answer on August 10. Confirmation arrived in 7 days. NVIDIA will guarantee the land, power, and shell buildout for OpenAI’s Ohio data center at PORTS-Pike, backing the initial 4.25 IT-GW with an option on the remaining 3.75. Futurum views the deal as a purchase of exclusivity. OpenAI spent the past year diversifying its silicon suppliers across AMD, Broadcom, and its own designs, and NVIDIA has now closed the largest announced campus in that pipeline to every one of them. The financing platforms announced on August 10 turned NVIDIA’s cost of capital into a product. PORTS-Pike shows what that product buys when NVIDIA is the customer for its own credit.
Credit Support Wins Sockets Over Benchmarks
The exclusivity clause becomes the headline when considering OpenAI’s compute commitments. OpenAI has agreed to deploy 6 GW of AMD Instinct GPUs under a partnership that includes warrants for up to 160 million AMD shares, has commissioned roughly 10 GW of co-designed custom accelerators with Broadcom, and continues to build Stargate sites with Oracle and SoftBank. Against that field, NVIDIA secured a contractual guarantee that all 8 IT-GW at PORTS-Pike will run NVIDIA silicon for the life of a 20-year lease. AMD’s Helios racks compete on memory capacity and on equity-linked deal terms. Broadcom competes on cost per token for inference at scale. Neither structure blocks NVIDIA from the biggest deal. Credit support on real estate and power creates an instrument that no competing chipmaker has offered at this scale. AMD lacks a similar third-party financing platform, and Broadcom leaves facility financing to its customers. OpenAI’s silicon allocation is now decided partly in the credit market, where NVIDIA’s over $100 billion in annual free cash flow prices everyone else out. The counter-move to watch is whether AMD converts its OpenAI warrant relationship into a comparable guarantee vehicle, because the warrant aligns equity upside without solving OpenAI’s financing problem, and financing is the constraint that this deal just proved matters most.
The Guarantee Shifts from GPU Residuals to Assets Banks Already Understand
Futurum argued last week that NVIDIA’s financing platforms exist to solve a collateral problem, since GPU depreciation follows a roadmap only NVIDIA controls. PORTS-Pike extends the logic to the other side of the balance sheet. Land, shell buildings, and grid interconnection are assets lenders can underwrite over 30 years with actuarial confidence. The tenant risk sitting on top of them is the hard part, and that is precisely what NVIDIA absorbed. Jensen Huang detailed the structure in a companion essay. The commitment covers defined portions of lease and power payments along with a specified residual value commitment, not the full cost of the site, phases in as data centers deploy from 2028 through 2030, and declines as OpenAI makes its payments. His fungibility argument solves the collateral problem, since CUDA compatibility means another tenant could take over the systems if circumstances change, which is the remarketing story every lender asks for. This is demand insurance for a tenant whose obligations dwarf its income. A 20-year lease on 8 IT-GW rests on OpenAI revenue growth that remains a projection. The DSX platform closes the loop: PORTS-Pike becomes the flagship reference-design build, the standardized, upgradeable AI factory Futurum described as underwriting infrastructure, where the 20-year site outlives 5 or more generations of silicon inside it.
The Backstop Covers Roughly a Quarter of Capex
Huang’s post supplies enough math to size the exposure that neither announcement quantifies. He writes that each GPU generation at the initial 4.25 IT-GW deployment means roughly 1.5 million NVIDIA GPUs and $150 billion to $200 billion in NVIDIA revenue, which works out to $35 billion to $47 billion of NVIDIA content per gigawatt. His separate figure of roughly $600 billion of NVIDIA compute across OpenAI’s 12 GW to 16 GW pipeline through 2030 lands in the same band, at $37.5 billion to $50 billion per gigawatt. Set those against the $50 billion to $60 billion Huang has cited for a full gigawatt of AI factory, a range that prices the 8 IT-GW campus at $400 billion to $480 billion, and the land, power, and shell layer NVIDIA is guaranteeing backs out to roughly $10 billion to $20 billion per gigawatt, near 25% of total capex at the midpoints.
That fraction should sound familiar. NVIDIA offered its 6 financing platform partners (Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR) residual value insurance of up to 25% of collateral value. At PORTS-Pike, it is backstopping roughly 25% of the capex stack; its own silicon does not consume. In both structures, NVIDIA retains about a quarter of the asset risk, which is enough to mollify a credit committee yet small enough to repay in one product cycle. Applied to the initial 4.25 IT-GW, the derived guarantee base runs roughly $42 billion to $85 billion, against $150 billion to $200 billion of NVIDIA revenue per GPU generation at the site, so a single generation returns roughly 2x to 5x the exposure. Every input here is a vendor-supplied figure from Huang’s essay and public remarks; the bands are wide, and the derived range is a Futurum estimate rather than a disclosed number. The test arrives when contingent liabilities surface in NVIDIA’s filings.
Power-First Development Becomes the Procurement Template
The supply-side architecture may prove more durable than any single guarantee. SB Energy and SoftBank will build at least 10 GW of new generation to yield 8 IT-GW of AI factory capacity, an implied 20% overhead between grid power and IT load, and will invest at least $4.2 billion in regional grid infrastructure with AEP Ohio. Generation and interconnection come first, silicon arrives in phases from 2028, and the federal land partnership with the Department of Energy and Department of Commerce recycles a decommissioned uranium enrichment site into compute. Futurum’s capex research identified power as the binding constraint on the 2026 buildout, and PORTS-Pike is the clearest answer yet. A chip vendor guarantees land, power, and shell, a developer owns and operates, and a frontier lab leases for 20 years. If the template works, expect sovereign AI programs and neocloud operators to demand the same structure, and expect NVIDIA to decide which of them gets it. Exclusivity granted at one campus can be offered at the next, which turns credit support into an allocation weapon NVIDIA can point wherever competitive pressure appears.
What to Watch:
- NVIDIA’s next quarterly filing should quantify the contingent liability, its triggers, and whether coverage applies to original cost or marked value.
- Exercise of the 3.75 IT-GW option within the next 12 months would signal that OpenAI demand is running ahead of plan.
- Whether AMD or Broadcom will provide credit support within 2 quarters.
- Power delivery milestones, including AEP Ohio interconnection filings and generation groundbreaking dates.
- Whether debt from the Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR platforms funds PORTS-Pike.
Read the full announcement available on the NVIDIA newsroom.
Disclosure: Futurum is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of Futurum as a whole.
Other Insights From Futurum:
Is the NVIDIA DSX Reference Design the Real Collateral for $500B in Financing?
NVIDIA DSX Promises More Revenue per Gigawatt. Who Actually Captures It?
AI Capex 2026: The $690B Infrastructure Sprint
Featured Image: NVIDIA
Author Information
Brendan is Research Director, Semiconductors, Supply Chain, and Emerging Tech. He advises clients on strategic initiatives and leads the Futurum Semiconductors Practice. He is an experienced tech industry analyst who has guided tech leaders in identifying market opportunities spanning edge processors, generative AI applications, and hyperscale data centers.
Before joining Futurum, Brendan consulted with global AI leaders and served as a Senior Analyst in Emerging Technology Research at PitchBook. At PitchBook, he developed market intelligence tools for AI, highlighted by one of the industry’s most comprehensive AI semiconductor market landscapes encompassing both public and private companies. He has advised Fortune 100 tech giants, growth-stage innovators, global investors, and leading market research firms. Before PitchBook, he led research teams in tech investment banking and market research.
Brendan is based in Seattle, Washington. He has a Bachelor of Arts Degree from Amherst College.
