Product2 publishers3 min readPublished
The contract value is public and the size of Nscale's stake in Figure is not, which leaves anyone reading a $51bn backlog ahead of a US listing unable to tell how much of that line the seller helped pay for.
The Product Desk · Product desk

Compiled by The Product DeskSomething wrong?How this is made
Somewhere in Nscale's data room there is a line that reads Figure, $3.5bn. Anyone pricing it needs two numbers the announcement does not carry: the length of the term, and the size of the cheque Nscale wrote back the other way.
Start with the disclosed figures. Spread $3.5bn across up to 100,000 Vera Rubin GPUs [1][2] and you get $35,000 per GPU for the whole multi-year term, or $60,000 at the $6bn ambition [1]. Without a term length, neither number tells you what an hour of Barstow capacity costs. Against Nscale's stated backlog of around $51bn [17], the initial commitment is about 6.9 percent, rising to roughly 11.8 percent if the larger version signs [2]. The rest of that backlog may be plain arm's-length business; this portion is not, because the buyer is now part-owned by the seller [4].
The direction of the money is what makes it hard to read. Nscale sends Figure an undisclosed sum and takes shares, and Figure commits at least $3.5bn back over a period nobody has specified [1][4]. Bloomberg's Lynn Doan described this as the playbook Nvidia has run for two years, and noted that some on Wall Street treat circular arrangements as a way of making demand look larger than it is [7]. Nvidia's own version of it is a $99bn equity portfolio built largely on positions in the labs and clouds that buy its chips [8]. Here Nvidia has money in Nscale and money in Figure [9], which puts it on both sides of a contract for its own hardware.
The pitch is easy to separate from the work. The pitch is Jensen Huang's robotics flywheel: Figure's models train on Vera Rubin through Nscale's cloud, get validated in Nvidia's Isaac Sim, then run on Nvidia GPUs inside the robots [10]. The work is duller and more real. Brett Adcock has said Figure's constraint is data and compute rather than money [12], and the money part checks out, given a round above $1bn at a $39bn valuation in September 2025 [14]. The data part is already running: Figure's Index programme ingests thirty minutes of human training video every second from paid creators using a phone app [13], which is 1,800 times real time, or about 43,200 hours of footage a day [3]. Figure says the sustained runs needed to turn that footage into a robot that can work a full shift were beyond the scale it could reach [18]. That is a genuine constraint, and Barstow capacity is a genuine answer to it, though the first systems are not due until the second half of 2027 [3].
One line in the release has no number and no date attached: the two companies say they will explore scaling Nscale's supply chain with humanoids [11]. Read plainly, that is Figure robots working shifts in the buildings that train Figure robots. Barstow is a 234MW site Nscale leases from Bitcoin miner Ionic Digital, where it is also deploying infrastructure for Microsoft [6], so the staffing question in that building is real even if the humanoid answer stays an ambition.
The forcing function, for anyone handed a vendor backlog before a listing: sort each large contract on two axes. Does the seller hold equity in the buyer, and does delivery start before the seller's next capital event? The Figure line answers yes to the first and no to the second [4][3][16]. Contracts in that box cannot be netted out by anyone outside the deal, which is why the undisclosed investment matters more to a stranger than the $3.5bn does. Until Nscale puts a figure on its stake, the accurate way to read that backlog line is as a commitment from a company Nscale part-owns, priced in a currency only the two signatories can see.
Ranked by verification strength, evidence, and original report placement.
Nscale agreed to sell Figure at least $3.5bn of computing power, described as an initial commitment of $3.5bn with an intent to scale past $6bn over time.
The agreement covers up to 100,000 Nvidia GPUs running the Vera Rubin platform, deployed at Nscale's data centre in Barstow, Texas.
Nscale is making an undisclosed strategic investment in Figure, becoming a shareholder and Figure's preferred compute provider, powering Figure's Helix models.
Jensen Huang, Nvidia's founder and CEO, said Nscale and Figure have activated the robotics flywheel: training Figure's models on Nvidia Vera Rubin through Nscale's AI cloud, validating them in Nvidia Isaac Sim, and deploying them on Nvidia GPUs in Figure's robots.
Bloomberg reported that Nscale is seeking up to $3bn in a US IPO, possibly as soon as September.
The first systems arrive in the second half of 2027, at Nscale's Barstow, Texas site.
Follow any of these and your For You feed starts watching them — no settings page required.
Evidence-backed comparisons of source perspectives and observed adoption signals. Read the methodology
Which Builder, Operator, and Investor concerns the observed source mix emphasized—not a truth score.
Evidence, demonstrated adoption, hype gap, incentives, and confidence are assessed independently, each on its own current evidence. How these are measured.
One release, relayed twice
Every figure that matters traces to Nscale's own 3 September statement. DCD reproduces it near-verbatim and The Next Web adds numbers it did not gather, crediting Bloomberg for the backlog and the IPO. The one quantity that would let a reader price the arrangement, the size of Nscale's stake in Figure, is withheld by the parties and left unpressed by both publishers, and no source here speaks to anyone outside the deal.
Signed, nothing running until 2027
What exists today is a signature and a building. Barstow is real and already carries Nscale's Microsoft work, and Figure's Index pipeline is genuinely ingesting video at 1,800 times real time. The Vera Rubin systems Figure would train on are not due until the second half of 2027, so no GPU-hours have been consumed against the $3.5bn and no Helix run has been improved by it.
Sold on a 2027 delivery
The $6bn ceiling and the release line about humanoids staffing Nscale's own supply chain both describe things due well after the first rack arrives, and Huang's flywheel is accurate as a description of Nvidia silicon at each stage while being a closed loop rather than an outcome. The arithmetic underneath is plainer: $35,000 per GPU across a multi-year term, 6.9 percent of a backlog whose customer the seller now part-owns. The Next Web marks that gap; DCD reports the announcement at face value.
Seller, shareholder and chip vendor aligned
Nscale wrote the announcement, books the revenue, owns equity in the buyer and is weeks from asking public markets for up to $3bn against a $51bn backlog. Nvidia holds stakes in both parties and supplies the training silicon, the simulator and the chips in the robot. Figure, valued at $39bn, gains a preferred provider that has just become a shareholder. Every named voice in the coverage profits if the number is believed.
One and a half independent accounts
The publisher count flatters the sourcing: DCD's piece arrives twice as the same copy, leaving one release plus one independent write-up. Where the two do overlap, on the $3.5bn value, the GPU ceiling, the shareholder terms and Huang's quote, they agree exactly and specifically enough to be checked against filings later. The undisclosed stake and the unverified backlog are what hold the assessment below the level the specificity would otherwise earn.
build
Figure sizes its humanoid training run at up to 1,389 Vera Rubin racks1 publisher
build
Figure is buying its data moat by the minute, and it just published the price1 publisher
build
Nscale's $3.05bn unlocks one qualifying project expense at a time1 publisher
product
Nscale's IPO asks public markets to fund a 13x jump in megawatts2 publishers
Publishers with included, body-backed reporting in this cluster.
2 articles · September 4, 2026
1 article · September 6, 2026