Nvidias, Quantum

Nvidia's Quantum Layer and the Doubling Bet: Two Sides of the Same Infrastructure Play

Published on 09/18/2026 at 09:11 | Editorial boerse-global.de

Nvidia adds CUDA-Q Logical for quantum computing and a Palantir-built sovereign AI stack, as Q3 FY2027 guidance targets $108 billion in revenue.

Fotorealistische Nahaufnahme einer generischen Grafikkarte mit schwarzem PCB, Kupfer-Kühlrippen und elektronischen Bauteilen auf dunklem Hintergrund
Nvidia US67066G1040 zeigt eine generische GPU-Platine mit Kupfer-Kühlkörper und elektronischen Bauteilen im Studi??icht Illustration mit AI erstellt.

Nvidia spent years being defined by what it sold — first graphics chips, then AI accelerators. The more telling story now is what it is quietly becoming: the connective software tissue underneath computing problems that have not yet arrived.

On September 14, the company extended its open-source CUDA-Q framework with a new orchestration layer called CUDA-Q Logical, aimed at enabling fault-tolerant quantum computing. The Sandia National Laboratories QUOPS benchmark was folded into the platform at the same time, and a growing roster of quantum firms is now building CUDA-Q into their own development work. It reads like a niche footnote. Strategically, it is something else entirely: Nvidia staking out the software layer that sits between conventional GPU clusters and the still-experimental quantum processors of the industry. Whoever eventually wins the race toward practical quantum machines, the surrounding workload — simulation, error correction, orchestration — would likely run across Nvidia infrastructure.

That same week brought a sovereign AI stack for supply-chain management, developed with Palantir Technologies and built on Nemotron models for automated decision-making in critical logistics. Taken together with the quantum initiative, a pattern emerges. Nvidia is no longer chasing only horizontal scale in its existing AI chip business; it is anchoring itself vertically across as many future value chains as it can reach — from software platforms for governments to the compute logic inside quantum labs.

The balance sheet that pays for the bets

None of this diversification would matter without the earnings engine behind it. For the third quarter of fiscal 2027, Nvidia is guiding to revenue of $108.0 billion, plus or minus 2 percent, with a gross margin of 74.0 percent, plus or minus 50 basis points. That scale is what allows the company to fund a quantum platform or multibillion-dollar acquisitions without straining its core.

The Hugging Face deal, slated to close in the first half of fiscal 2027, carries $11.9 billion for shareholders along with $1 billion in equity for employees. The market has grown accustomed to Nvidia adding new pieces to its ecosystem almost weekly, without every individual step producing a share-price jolt.

Should investors sell immediately? Or is it worth buying Nvidia?

Huang's doubling pledge meets measured benchmarks

A single sentence from Jensen Huang was enough to lift the stock 2.6 percent to EUR 191.16. At a summit in Scotland, the Nvidia chief said the company would sell twice as many chips next year as this year. Longtime Huang watchers know his appetite for big numbers, but this time the claim rests on a dense web of operational progress.

Days earlier, Nvidia published preliminary MLPerf results showing the new Vera Rubin NVL72 system delivering up to 3.7 times the inference throughput of its GB300 predecessor on the Qwen3-VL test. That is a measured benchmark, not a marketing promise — and it forms the real foundation under the doubling claim. Lift compute performance that far, and raising unit volumes without alienating customers becomes plausible.

The partner map is widening too. In Australia, Nvidia is expanding land, power, and building capacity alongside a growing circle of cloud partners — a reminder that more chips require data centers, energy, and floor space to exist at all. The company also took the stage at Salesforce Dreamforce alongside Marc Benioff, timed with the launch of Koa, Salesforce's first CRM product of its kind. Such appearances look like PR stops, yet they demonstrate how deeply Nvidia hardware has penetrated other companies' software ecosystems.

What the tape and the analysts say

Piper Sandler initiated coverage roughly a week ago with an Overweight rating and a $300 price target — a clear signal that at least part of Wall Street shares the growth thesis. Price targets are opinions, not guarantees.

The market's reaction has been sober rather than euphoric. The shares trade at EUR 192.50 premarket, 4.9 percent below the 52-week high of EUR 202.50 set in mid-May, and about 13 percent above the 200-day moving average — evidence that the medium-term trend holds even if near-term headroom is limited. An RSI of 53.1 points to no overheating, leaving room to run should the growth story confirm over coming quarters. The stock has already added a third since its March low and sits roughly 12 percent above its 200-day line.

The flip side deserves equal billing. Annualized volatility of 39 percent shows how jittery the market is around every Nvidia headline. Promising to double sales raises the bar sharply — missing that target would hit the stock harder than an ordinary profit warning would hit most other companies.

Whether Nvidia risks spreading itself too thin across chips, software, acquisitions, and quantum research remains an open question. The share price so far suggests the opposite: the market rewards breadth as long as the core keeps delivering. That verdict will be tested the moment one of these many wagers comes due.

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