Tag: SB Energy

  • NVIDIA’s $279B Supply Commitments Show AI’s Build-Out Risk Is Becoming NVIDIA’s Own

    NVIDIA’s $279B Supply Commitments Show AI’s Build-Out Risk Is Becoming NVIDIA’s Own

    TL;DR · 30-second read

    The Short Version

    NVIDIA, whose chips run many artificial intelligence systems, took in $96 billion in three months, more than double a year earlier.

    The surprise is what it has signed up for. It promised $279 billion to suppliers, up from $119 billion three months ago, largely to lock in memory chips. It also agreed to cover up to $105 billion if OpenAI, the company behind ChatGPT, fails to pay for a giant Ohio computer campus planned to use about as much electricity as four large nuclear plants produce.

    NVIDIA is no longer just selling chips. It is taking on the risk that the boom runs short of parts, power or money.

    NVIDIA reported record revenue of $96.2 billion on August 26, 2026, for its second quarter of fiscal 2027, which ended July 26. Revenue rose 18% from the prior quarter and 106% from a year earlier. Data center revenue reached $89.0 billion, up 18% and 117% on the same comparisons. NVIDIA guided to third-quarter revenue of $108.0 billion, plus or minus 2%, with no data center compute revenue from China assumed.

    CFO Colette Kress’s commentary, filed with an 8-K the same day, put supply commitments at $279 billion, up from $119 billion a quarter earlier and primarily tied to memory procurement. An 8-K filed August 17 disclosed guarantees capped at $105 billion covering about 4.25 gigawatts of computing load at SB Energy’s PORTS-Pike campus in Ohio, with an OpenAI affiliate as tenant.

    Executive Summary

    The headline figures point to strong demand. NVIDIA’s data center business added roughly $13.5 billion of revenue in a single quarter, gross margin (the share of sales left after direct production costs) held at 75.0%, and the outlook calls for about $11.8 billion more in the third quarter. Nothing in those results indicates that shortages of memory or power stopped NVIDIA from shipping this quarter.

    The commitments tell a different part of the story. In 13 weeks NVIDIA added $160 billion in supply obligations and agreed to backstop a data center campus whose first capacity is expected in 2028. Its CFO commentary says securing land, power and shell “has become the next critical phase in the AI infrastructure buildout” and that many AI clouds and model makers “are growing faster than their balance sheets and long-term credit profiles can support.”

    That matters to anyone who builds, powers or finances AI capacity. The company at the center of the build-out is using its financial strength to secure memory supply and data center sites before they become constraints, and in doing so it is taking on exposure that would traditionally sit with suppliers, tenants and lenders.

    Demand Is Strong, but the Breadth Claim Needs Context

    Jensen Huang said in the release that where one lab once drove the build-out, multiple frontier labs now scale in parallel, alongside startups and open-model developers. The segment data offers some support. Revenue from ACIE (AI Clouds, Industrial and Enterprise) rose 138% from a year earlier and 25% sequentially, while Hyperscale, the category for the largest cloud operators, more than doubled year over year and grew 13% sequentially.

    Two details limit how far that evidence goes. CFO Colette Kress attributes ACIE growth partly to “hyperscalers utilizing AI clouds,” so some of that revenue traces back to the largest buyers. NVIDIA also moved one unnamed company from ACIE to Hyperscale this quarter and recast prior periods. And the campus NVIDIA chose to backstop has a single named customer, OpenAI, for up to 8 gigawatts.

    The outlook implies slower sequential growth: $108.0 billion would be about 12% above the second quarter, compared with 18% just reported. In dollars, that is about $11.8 billion of added revenue versus $14.6 billion. Guidance is a forecast rather than a result, and it excludes China data center compute, where Hopper product shipments were already under 1% of data center revenue. It should not be read as evidence of a demand or supply ceiling on its own.

    The $279 Billion Line Is Where Risk Changes Hands

    The most consequential number in the quarter may be the rise in supply commitments from $119 billion to $279 billion. The $160 billion increase equals about 1.7 times the quarter’s revenue, and the total equals more than 11 quarters of NVIDIA’s current $24.1 billion cost of revenue. NVIDIA says the commitments secure critical components “for the next several years” and that they relate primarily to memory.

    This is the mechanism behind the headline. A supplier that receives a long-term commitment has more certainty about selling its output, while the buyer takes on more of the risk that future demand, pricing or product needs turn out differently. NVIDIA is making that trade at very large scale, alongside a multiyear technology partnership with SK hynix on next-generation memory. Inventories also rose to $31.6 billion from $21.4 billion in January. Memory makers gain visibility from this kind of arrangement. Other buyers, if supply stays finite, may find less uncommitted output to compete for.

    The results show memory pressure directly in only one place, and it is outside the data center. Kress says slower consumer PC sales were “tempered by elevated memory and systems prices,” even as Edge Computing revenue grew on workstation demand. So the answer to whether memory is limiting the AI build-out is nuanced: the data center numbers do not show a cap, but NVIDIA’s purchasing suggests it takes the possibility seriously enough to commit a sum far larger than a quarter’s revenue.

    Power and Land Have Become a Credit Problem

    The Ohio transaction shows the same pattern in physical infrastructure. Under the August 17 8-K, NVIDIA entered residual value guaranties with SB Energy for leases covering about 4.25 gigawatts of IT load, meaning the power used by the computing equipment itself. Its obligation is capped at $105 billion for the initial commitment. It also holds an option to support roughly 3.75 gigawatts more, a figure the 8-K rounds to about 3.8. In return, the campus will exclusively host NVIDIA infrastructure, subject to limited exceptions, and NVIDIA is separately investing $1.5 billion in SB Energy.

    The structure turns a site-and-power problem into a credit solution. If OpenAI becomes insolvent and defaults, or fails to make lease payments, NVIDIA pays any shortfall between a guaranteed minimum lease value and what can be recovered through re-leasing or sale. The cap is therefore a ceiling, not an expected loss. OpenAI has agreed to reimburse NVIDIA, although the events that trigger the guarantee are also those in which a tenant’s capacity to reimburse could be most in question. The obligations end after 20 years or earlier on certain events, including OpenAI achieving a satisfactory credit rating.

    Scale helps put this in perspective. NVIDIA earned $63.7 billion in GAAP operating income in the quarter and held about $99.4 billion in cash and marketable securities at quarter-end, so the $105 billion cap, which phases in and could only be called under specific conditions, does not present an immediate solvency question. The point is the change in role. With ready-for-service conditions expected beginning in 2028, the guarantee does not address near-term capacity. It is a long-dated effort to ensure future sites exist for future NVIDIA hardware, and a further $3.5 billion of maximum gross exposure covers other AI cloud partners’ lease obligations.

    Reading Revenue When the Seller Also Helps Finance the Buyers

    NVIDIA’s support for its ecosystem now extends across several channels. Its equity investments focus on AI model makers, infrastructure financiers and other private companies. Non-marketable securities on its balance sheet rose to $51.2 billion from $22.3 billion in January. It has announced partnerships with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR intended to mobilize over $500 billion of third-party capital over time, subject to definitive agreements. Some AI cloud agreements also let NVIDIA share in revenue if certain criteria are met.

    None of this means the demand is not real, and CFO commentary describes extraordinary demand from customers constrained by their credit profiles. But it does complicate using NVIDIA’s revenue as a clean measure of independent end demand, because some buyers’ access to capacity increasingly depends on NVIDIA’s own support. Investors can see a related effect in earnings: GAAP net income rose only 2% sequentially, against 18% on a non-GAAP basis, because equity gains swing the GAAP figure. Net equity gains were $7.8 billion in the quarter.

    For data center operators and enterprise buyers, the practical takeaway is that access to future capacity may increasingly come packaged with a specific vendor stack and financing structure. Long-term debt, meanwhile, rose to $32.4 billion from $7.5 billion in January, which adds another figure to monitor as these commitments mature.

    Background

    NVIDIA reports through two markets, Data Center and Edge Computing, and sells complete computing platforms that combine processors, networking, systems and software. Its fiscal year runs well ahead of the calendar, so fiscal 2027’s second quarter ended in July 2026. Blackwell is the architecture generating most current revenue, and Vera Rubin is its successor platform, now ramping. Within Data Center, Hyperscale covers the largest cloud operators, while ACIE covers AI clouds, industrial and enterprise customers.

    AI data centers require far more than chips: advanced memory, high-speed networking, buildings and large amounts of electricity must all arrive on compatible schedules. SB Energy is the developer, owner and operator of the PORTS-Pike campus in Pike County, Ohio, where NVIDIA’s credit support and OpenAI’s tenancy link the chip supplier, the customer and the developer in one long-term structure.

    Sources

    Source: NVIDIA Announces Financial Results for Second Quarter Fiscal 2027, NVIDIA Newsroom’s report of quarterly results, outlook and business highlights.

    Primary sources: NVIDIA 10-Q filed 2026-08-26; NVIDIA 8-K filed 2026-08-26; NVIDIA Announces Financial Results for Second Quarter Fiscal 2027 (Exhibit 99.1 to 8-K filed 2026-08-26); CFO Commentary on Second Quarter Fiscal 2027 Results (Exhibit 99.2 to 8-K filed 2026-08-26); NVIDIA 8-K filed 2026-08-17; NVIDIA Guarantees SB Energy’s PORTS-Pike Technology Campus in Ohio to Exclusively Host NVIDIA AI Compute (Exhibit 99.1 to 8-K filed 2026-08-17).

  • OpenAI’s 8 GW Ohio Campus: Legacy Grid Covers 800 MW, New Power Plants Gate the Rest

    OpenAI’s 8 GW Ohio Campus: Legacy Grid Covers 800 MW, New Power Plants Gate the Rest

    TL;DR · 30-second read

    The Short Version

    • OpenAI, the maker of ChatGPT, will rent space in a huge computer campus planned on the grounds of an old Cold War uranium plant in rural southern Ohio.
    • At full size, the campus would use about as much electricity as eight large nuclear reactors produce.
    • Only about a tenth of that can come from today’s power lines, starting in 2028. The rest needs new power plants, including gas-fired ones, that have not been built yet.
    • The developer promises to pay for the grid upgrades itself, so local electric bills do not cover them.

    OpenAI announced on August 17 that it has agreed to secure approximately 8 gigawatts of IT capacity at the PORTS-Pike Technology Campus in Pike County, Ohio, working with developer SB Energy, NVIDIA and the U.S. Department of Energy. The campus is being developed on private land and on remediated federal land at the former Portsmouth Gaseous Diffusion Plant. SB Energy will build, own and operate the data center under a 20-year lease to OpenAI, and the site will exclusively host NVIDIA AI computing hardware.

    The first 800 megawatts are expected to be available in 2028, largely using existing AEP infrastructure. Later phases will require new grid-connected power plants, including natural gas generation, plus new transmission lines. NVIDIA will invest $1.5 billion in SB Energy and provide credit support for the land, power and shell buildout of the initial 4.25 gigawatts. The companies project 35,000 construction jobs over a six-year buildout through 2032 and 2,500 long-term operating jobs.

    Executive Summary

    The PORTS-Pike agreement is one of the largest single-site AI capacity commitments announced to date: roughly 8 gigawatts of power delivered to computing equipment, on a former uranium enrichment site in southern Ohio. OpenAI is the tenant, SB Energy is the developer and owner, NVIDIA is both the exclusive hardware supplier and a financial backer, and the Department of Energy is contributing federal land and an existing onsite water system.

    The more telling number is the smaller one. Only the first 800 megawatts, about a tenth of the headline figure, is expected to come online in 2028 on largely existing grid infrastructure. Everything after that depends on new power plants and new transmission lines, along with permits, environmental reviews and financing that the companies say must still be in place. In practice, this is a power-development project with a data center attached, and its pace will be set by generation and wires rather than by chips.

    The package also includes a pledge that SB Energy will pay the full cost of grid upgrades and new transmission rather than passing them to Ohio ratepayers, a closed-loop cooling design meant to limit ongoing water use, and more than $160 million in community grants and student software credits.

    Nine-Tenths of the Campus Waits on Power That Does Not Yet Exist

    The headline figure is 8 gigawatts-IT, a measure of the electricity delivered to servers and networking gear rather than the site’s total draw, which is higher once cooling and power conversion are counted. Against that, the companies say the first 800 megawatts should be available in 2028 “largely using existing AEP infrastructure,” meaning the transmission and substation capacity American Electric Power already has in the area. That is roughly 10% of the campus. The remaining 7 gigawatts or so, per OpenAI’s announcement, “will require new power plants connected to the grid, including natural gas generation, as well as new transmission lines and associated infrastructure.”

    That split is the operational core of the deal. Existing wires are the fastest path to power for any large data center, because new generation and new high-voltage lines each require siting, permitting, interconnection studies and equipment procurement before a single rack can be energised. Gas turbines, transformers and high-voltage switchgear have all been in heavy demand as utilities and data center developers compete for the same supply chains. The six-year buildout window through 2032 signals that the companies expect most of the capacity to arrive only as that new infrastructure is completed.

    The parties most exposed to this sequencing are OpenAI, whose compute roadmap depends on the later phases; SB Energy, which carries the development risk; AEP and PJM, the regional grid operator covering Ohio, which must study and integrate the new plants and lines; and NVIDIA, whose hardware sales at the site scale with each tranche of power that comes online.

    Why a Former Uranium Plant Works as a Power-First AI Site

    The Portsmouth Gaseous Diffusion Plant was built in the 1950s to enrich uranium, a process that consumed enormous amounts of electricity. That history left the area with heavy grid infrastructure, a large industrial footprint and federal land that has been under cleanup for years. For an AI campus, those legacy assets matter more than proximity to cities or fiber hubs: they are what allows the first 800 megawatts to arrive in 2028 instead of later.

    The Department of Energy’s role extends beyond land. PORTS-Pike is working with DOE to use the site’s existing onsite water system, and the data center will use closed-loop, air-cooled systems that recirculate water rather than evaporative cooling towers, which continuously consume water. OpenAI says ongoing water use, once the system is filled, should be comparable to an office building supporting a similar number of people, and well below what the enrichment plant historically used. It has committed to publish expected water use once the design is final.

    The model is replicable only where similar conditions exist: large parcels of already-disturbed land, legacy high-voltage infrastructure, and a federal owner willing to redevelop. Retired industrial and federal sites with those traits are a finite set, which is why they are becoming contested real estate for AI developers.

    Who Carries the Financial Risk

    The deal is structured to keep capital off OpenAI’s balance sheet up front. SB Energy builds and owns the facility, and OpenAI begins paying only as completed capacity becomes available for lease, funding those payments from revenue, cash flow and investor capital. That protects OpenAI from paying for capacity that is delayed, but it shifts construction and power-development risk to SB Energy and its financiers.

    NVIDIA fills part of that gap. Its $1.5 billion investment in SB Energy and its credit support, a guarantee-like backing that lowers borrowing costs, cover land, power and shell buildout for the initial 4.25 gigawatts. Because the site will exclusively host NVIDIA hardware, the chipmaker is effectively helping finance demand for its own products. That aligns incentives among the three companies, but it also concentrates exposure: the project’s financing, customer and supplier are tightly linked, and the backing described covers just over half of the 8 gigawatts.

    The Ratepayer Pledge Addresses the Biggest Local Objection

    Data center growth has become a flashpoint over whether households end up paying for grid expansion that serves large corporate loads. SB Energy’s commitment to pay the full cost of grid upgrades and new transmission lines, without shifting those costs to Ohio ratepayers, speaks directly to that concern, and the companies argue the new lines will also strengthen regional reliability.

    The community package, which includes $40 million from OpenAI on top of SB Energy’s earlier $40 million and $84 million in Codex credits for about 844,000 Ohio students, adds up to more than $160 million by OpenAI’s count. Alongside a union memorandum of understanding and annual public reporting on hiring, water and energy use, it is designed to build local consent for a project whose largest phases will require new permits and reviews over the coming years.

    Background

    The Portsmouth Gaseous Diffusion Plant near Piketon, Ohio, was built in the 1950s to enrich uranium for national defense and later for nuclear power fuel. Gaseous diffusion was extremely electricity-intensive, which left the region with substantial grid infrastructure. Enrichment ended in the early 2000s, and the Department of Energy has since overseen decontamination and cleanup, with parts of the site now available for redevelopment.

    SB Energy, a SoftBank-backed energy and infrastructure developer, is leading development of the PORTS-Pike campus. OpenAI has been expanding its computing capacity through long-term agreements with developers and hardware partners to support training of frontier AI models and growing demand for products such as ChatGPT and Codex.

    Sources

    Source: OpenAI joins PORTS-Pike project, OpenAI’s announcement of an approximately 8 gigawatt capacity agreement with SB Energy, NVIDIA and the U.S. Department of Energy in Pike County, Ohio.

  • Nvidia’s 4.25-GW Ohio Guarantee Puts Chipmaker Credit Behind AI Land and Power

    Nvidia’s 4.25-GW Ohio Guarantee Puts Chipmaker Credit Behind AI Land and Power

    TL;DR · 30-second read

    The Short Version

    Nvidia, the company whose chips run most of today’s artificial intelligence, has agreed to financially vouch for the land, power and buildings of a huge computing campus in southern Ohio. The campus is on the site of a closed Cold War uranium plant.

    In return, only Nvidia’s equipment can go inside. OpenAI, the maker of ChatGPT, has signed a 20-year lease to use it.

    At full size, the computers would use roughly the output of eight large nuclear reactors. The first sections are due in 2028. The unusual part is the financing: a chip seller is helping pay for the buildings its chips will sit in.

    Nvidia announced on August 17, 2026 that it will provide credit support for the land, power and shell buildout at SB Energy’s PORTS-Pike Technology Campus in Pike County, Ohio. In this context, credit support means Nvidia’s financial backing stands behind the project’s obligations. The support secures an initial 4.25 gigawatts of IT capacity, meaning power delivered to computing equipment, and Nvidia holds an option on the remaining 3.75 IT-GW. In exchange, Nvidia will be the exclusive AI compute provider on the site. OpenAI will be the customer for the full 8 IT-GW. SB Energy will build, own and operate the data center under a 20-year lease to OpenAI.

    Nvidia will also invest $1.5 billion in SB Energy, joining existing investors SoftBank Group and OpenAI. SB Energy and SoftBank committed to build at least 10 gigawatts of new generation and to invest at least $4.2 billion in regional grid infrastructure with AEP Ohio. Capacity is expected to come online in phases beginning in 2028.

    Executive Summary

    The headline numbers are 8 gigawatts of AI capacity, a 20-year lease and a $1.5 billion equity check. The structural news is who is standing behind the real estate. Data center developers typically finance land, power hookups and building shells against the creditworthiness of the tenant. At PORTS-Pike, Nvidia is supplying credit support for the first 4.25 IT-GW. That makes the chipmaker a financial backer of the physical site as well as the vendor of the hardware inside it.

    What Nvidia gets in return is explicit: exclusivity. Every AI system on the campus will be Nvidia’s, deployed on its DSX AI factory platform of GPUs, CPUs and networking. Jensen Huang framed it as securing “long-lived infrastructure for NVIDIA compute” that can be upgraded with each new chip generation. That implies a site designed to take several future Nvidia generations over the life of the lease.

    The deal matters beyond Ohio for a simple reason. If a chip supplier’s balance sheet can make a gigawatt-scale site financeable, then access to land, power and shells becomes something hardware vendors compete for directly, not just something their customers arrange.

    Why a Chipmaker Is Backing Buildings

    A data center campus has three expensive layers that come before any chip is installed: land, power (generation, substations and grid connections) and the shell, meaning the building, cooling plant and electrical rooms. The industry abbreviates these as LPS. Whoever finances that layer wants confidence that someone creditworthy will keep paying for the space for the life of the investment. At PORTS-Pike, SB Energy owns the asset and OpenAI is the 20-year tenant. Nvidia is adding a third layer of assurance: credit support on the LPS buildout covering the first 4.25 IT-GW.

    That is the mechanism behind the headline. Nvidia is using its own credit to reduce the financing risk of a site it does not own. In return, it gets a guaranteed home for its hardware at a scale of more than four gigawatts, with an option on 3.75 more. Nvidia’s statement makes the logic explicit: “land, power and shell have become vital in the age of AI.” A supplier that is worried about customers finding buildings and electricity for its systems fast enough is now helping underwrite the buildings and electricity itself.

    Several groups are affected. Developers gain a new kind of counterparty whose backing may unlock project finance. Lenders get another large name standing behind the obligations. Competing accelerator vendors face a campus that is closed to them by contract. For OpenAI, the arrangement ties a very large block of future capacity to a single supplier’s roadmap. This is one deal, not yet a market pattern. It does show that chipmaker credit can serve as a financing input for AI sites, and other developers will take note.

    Exclusivity, Upgrades and Concentration

    The exclusivity clause is the price of the guarantee, and it cuts both ways. Nvidia describes the site as upgradeable “with each new generation delivering more intelligence and better economics.” A 20-year lease spans many hardware cycles, so the value to Nvidia is not a single sale. It is a standing claim on refresh after refresh. For OpenAI, a site built around one vendor’s full stack can simplify design and speed deployment. It also narrows negotiating leverage over future generations at this location.

    A fair question is how tightly interlinked the parties now are. SoftBank Group and OpenAI were already investors in SB Energy. Nvidia is now investing $1.5 billion and backing the site’s buildout. OpenAI is the tenant and will run Nvidia hardware. Arrangements like this are not unusual in early infrastructure markets, and nothing in the announcement suggests anything improper. Still, it means the campus’s economics rest on a small group of counterparties whose fortunes are correlated with continued AI demand. The announcement asserts that demand is “growing at an extraordinary pace.” Investors will want to see it in contracted revenue as phases come online.

    Power-First, With Overhead Built In

    SB Energy and SoftBank committed to at least 10 gigawatts of new generation to support 8 IT-GW of AI capacity. The gap between those numbers is instructive. Roughly a fifth of the generation is not delivered to computing equipment. It covers cooling, power conversion and other facility overhead, plus any margin the developers are holding. That is a useful reminder that AI capacity figures quoted in IT-GW understate the electricity a campus actually requires.

    The grid commitment is at least $4.2 billion in regional infrastructure through a partnership with AEP Ohio that the companies say is “designed to protect ratepayers.” The release does not explain how that protection works: who pays for which upgrades, and what happens to those costs if demand falls short. Those questions matter to Ohio households as much as to investors. Reusing the decommissioned Portsmouth Gaseous Diffusion Plant site, with the Department of Energy and Department of Commerce involved, may offer existing industrial land and transmission advantages. Spanning federal and private land also adds approval steps that the companies have not detailed.

    Background

    SB Energy describes itself as an integrated data center and power infrastructure company that develops, builds and operates gigawatt-scale data center campuses and utility-scale power generation. Its investors before this deal included SoftBank Group and OpenAI. Its pitch is a “power-first” model: securing electricity before building compute, on the view that power is the industry’s primary bottleneck.

    The PORTS-Pike site sits on the former Portsmouth Gaseous Diffusion Plant in Appalachian Ohio. The plant was a Cold War-era uranium enrichment facility that has since been decommissioned. Redeveloping it as an AI campus places some of the country’s largest planned computing capacity in a region that SB Energy says has long shaped American industry, and it involves both federal and private land.

    Sources

    Source: NVIDIA Guarantees SB Energy’s PORTS-Pike Technology Campus in Ohio to Exclusively Host NVIDIA AI Compute. Nvidia Newsroom, August 17, 2026: Nvidia’s announcement of credit support, exclusivity and a $1.5 billion investment in SB Energy for OpenAI’s 8 IT-GW Ohio campus.

  • Nvidia’s $105B Ohio Guarantee Backstops OpenAI’s Lease, Not AI Power Delivery

    Nvidia’s $105B Ohio Guarantee Backstops OpenAI’s Lease, Not AI Power Delivery

    TL;DR · 30-second read

    The Short Version

    Nvidia, which makes the chips behind many AI systems, has promised to cover up to $105 billion if OpenAI, the maker of ChatGPT, cannot pay for a giant computing site in Ohio. Think of a parent co-signing a very large lease.

    The first stage is planned around as much electricity as four large nuclear reactors produce. Nvidia’s promise applies only once the site is ready, so late buildings or late power are largely the developer’s risk.

    If the AI boom cools, this deal shows who is on the hook, and for what.

    Nvidia disclosed in an 8-K filed August 17, 2026 that it has entered residual value guaranties, a form of financial backstop, on leases for approximately 4.25 gigawatts of IT load at SB Energy’s PORTS-Pike Technology Campus in Pike County, Ohio. An OpenAI affiliate will be the tenant, and Nvidia’s aggregate payment obligation for this initial commitment is capped at $105 billion.

    Nvidia’s press release says it will also invest $1.5 billion in SB Energy, will be the exclusive AI compute provider at the site, and holds an option on the remaining 3.75 gigawatts of the planned 8-gigawatt campus. Capacity is expected to come online in phases beginning in 2028.

    Executive Summary

    Nvidia has agreed to stand behind OpenAI’s lease obligations at one of the largest AI campuses announced to date, using its credit to secure land, power and shell capacity, meaning the site, its electricity and the building, for its own computing systems. SB Energy will build, own and operate the data center under a 20-year lease to OpenAI.

    The $105 billion figure is a ceiling on a contingent obligation, not money spent. Nvidia pays only if OpenAI becomes insolvent and defaults or fails to make lease payments, and then generally only the shortfall between a guaranteed minimum lease value and what a replacement lease or sale recovers.

    The structure matters because of what it covers and what it does not. As described in the 8-K, the guarantee addresses tenant credit risk once premises meet ready-for-service conditions. The earlier risks, including whether buildings and power arrive on schedule, sit mainly with SB Energy, SoftBank and whoever finances the build.

    A $105 Billion Cap Is Not $105 Billion in Cash

    Reuters described the commitment as a guarantee of up to $105 billion, CNBC as backing for financing, and Yahoo Finance as an investment of up to that amount. Nvidia’s 8-K defines the number precisely: it is the cumulative cap on Nvidia’s payment obligation for its initial commitment under residual value guaranties. A residual value guaranty promises a landlord that an asset, here a lease, will hold a minimum value. If it does not, the guarantor makes up the difference.

    The cash Nvidia has said it will commit now is the separate $1.5 billion investment in SB Energy. The guarantee is contingent. After a trigger event, Nvidia may assume the lease, require the lessor to seek a new tenant, start a sale process, allow the lease to terminate, or defer those choices for up to one year while paying specified project costs. Its payment is generally the shortfall left after a replacement lease or sale, so the real exposure depends on what the campus is worth to someone else at that moment.

    Dividing the cap by the 4.25 gigawatts it covers gives about $24.7 billion per gigawatt of IT load, the power used by the computing equipment itself. That is a measure of the guarantee ceiling rather than a construction cost, since the guaranteed minimum lease values have not been published. It is still a useful yardstick for the scale of the lease obligations Nvidia is prepared to stand behind.

    Where the Guarantee Stops: Power and Construction Timing

    The most consequential line in the 8-K may be the condition on payment. An agreement generally becomes effective when the applicable lease commences, and Nvidia’s obligations are subject to specified conditions, including that the lessor has met ready-for-service conditions for the relevant premises, expected beginning in 2028. In plain terms, the facility has to be delivered before the guarantee can be called on.

    That points to a split in risk. If OpenAI cannot pay for a finished facility, Nvidia is exposed up to the cap. If the buildings or electricity arrive late, the guarantee as described does not appear to respond, and the delay falls first on the parties responsible for delivery. SB Energy will build, own and operate the data center. SB Energy and SoftBank have also committed to at least 10 gigawatts of new generation and at least $4.2 billion in regional grid infrastructure through a partnership with AEP Ohio, the local utility. Those are large obligations to carry before a guarantee of this kind becomes relevant.

    Two qualifications apply. The press release describes Nvidia’s support as covering the land, power and shell buildout, and the full agreements will not be available until their form is filed with Nvidia’s quarterly report, so details could refine this reading. Nvidia is also not indifferent to delay: its $1.5 billion stake in SB Energy and the planned deployment of its systems both depend on the campus being delivered. But that is commercial exposure, not a payment obligation under the guaranties.

    A Chipmaker’s Balance Sheet Standing In for a Credit Rating

    Among the events that end Nvidia’s obligations is OpenAI achieving a satisfactory credit rating, alongside the 20th anniversary of the lease, OpenAI’s termination of the lease in accordance with its terms, and other customary events. That clause suggests the guarantee is bridging a gap between OpenAI’s current credit standing and the level the agreements treat as sufficient. Nvidia is lending its credit to its customer’s lease, and in return it secures capacity that will exclusively host its compute.

    The arrangement gives Nvidia something concrete. OpenAI will use the 4.25 gigawatts to deploy Nvidia’s full-stack DSX platform, including GPUs, CPUs and networking, subject to limited exceptions. CEO Jensen Huang frames the campus as “long-lived infrastructure” that can be upgraded with each hardware generation, which is the core argument that the site could retain value beyond any single chip cycle.

    The question for investors is how independent the protections are. OpenAI has agreed to reimburse and indemnify Nvidia for amounts paid, but that promise would be tested in exactly the scenario in which OpenAI has failed to pay. A broad fall in AI demand could also weaken the replacement-tenant market and Nvidia’s hardware sales at the same time. This is one deal, and it does not by itself establish an industry pattern, but it does show that chipmaker credit can sit at the center of a gigawatt-scale build.

    Reading the Campus Claims

    Some figures are firmer than others. The 4.25 gigawatts, the $105 billion cap and the payment triggers are set out in a securities filing. The further capacity is conditional: Nvidia can provide credit support for roughly 3.8 gigawatts more, as the 8-K puts it, or 3.75 gigawatts in the press release, exercisable in its sole discretion. The full 8-gigawatt campus therefore depends on a later decision, even though the release names OpenAI as the customer for all of it.

    The release’s 10 gigawatts of generation for 8 gigawatts of IT load implies 1.25 gigawatts of generation per gigawatt of computing load. That leaves room for cooling and other needs, though the companies have not itemized the difference. Community claims are less specific: the $80 million benefits fund is a defined amount, made up of $40 million from SB Energy and $40 million from OpenAI, while “tens of thousands” of jobs and protection for ratepayers are stated without a published breakdown or mechanism.

    Background

    SB Energy is an AI infrastructure developer whose existing investors include SoftBank Group and OpenAI, and Nvidia is now joining them. Its PORTS-Pike Technology Campus is redeveloping the decommissioned Portsmouth Gaseous Diffusion Plant and surrounding land in Appalachian Ohio, across both private and federal property.

    AI data centers depend on more than chips. Developers must also secure land, electricity and the physical building, often shortened to “land, power and shell”, and those long-term commitments can require a tenant with strong credit. Nvidia, best known for its AI processors, is using its own credit in this deal to secure that capacity for its systems.

    Sources

    Source: Nvidia backing $105 billion in financing for OpenAI data center in Ohio, CNBC’s report on Nvidia’s support for OpenAI’s Ohio campus.

    Primary sources: Nvidia 8-K filed 2026-08-17; NVIDIA Guarantees SB Energy’s PORTS-Pike Technology Campus in Ohio to Exclusively Host NVIDIA AI Compute (Exhibit 99.1 to 8-K); Nvidia backing $105 billion in financing for OpenAI data center in Ohio – CNBC; Nvidia to provide up to $105 billion guarantee for OpenAI’s Ohio data center – Reuters; Nvidia to Invest Up to $105 Billion for OpenAI Data Center – Yahoo Finance.