Yesterday this brief was about a number nobody had yet. Today we have it. Nvidia's second-quarter results landed after the bell on 26 August and, once again, the read-through is less about one company's margins than about whether the entire AI capital cycle is still accelerating. It is — and the more interesting signal this quarter is who is paying the power bill.
Nvidia's quarter: compute is now revenue, and China is off the map
Nvidia reported $96.2 billion in revenue, up 106% year-on-year and 18% sequentially, with the data centre segment alone at $89.0 billion — up 117% from a year ago. Gross margin held at 75.0% and GAAP diluted EPS came in at $2.46. The line that will get quoted is Jensen Huang's: “compute is revenue.” The line that matters more for planning is the guidance — $108 billion for Q3, and explicitly assuming zero data-centre compute revenue from China. Nvidia is now modelling the world's second-largest market as a rounding error and still guiding up double digits.
Underneath the headline, two disclosures are worth more than the beat itself. Nvidia said it is standing up third-party financing vehicles with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to mobilise over $500 billion for AI-infrastructure buildout over time — the capital cycle is being moved off balance sheets and onto Wall Street's. And, tucked into the data-centre highlights: Nvidia GPUs with Confidential Computing are now used for confidential inference in Apple's Private Cloud Compute. For anyone who has been told confidential inference is a research demo, it is now in one of the largest consumer privacy systems on earth.
Emerald AI raises $150M to make data centres flex
The binding constraint on all of the above is not chips — it is electricity, and that is where the week's most telling raise landed. Emerald AI closed a $150 million Series A at a $1.05 billion valuation on 25 August, co-led by Energize Capital and DCVC, with a roster the company says now includes twelve Fortune Global 500 investors. The pitch is a genuinely different answer to the grid problem: instead of waiting years for new interconnection, make the data centre itself a flexible load that dials power consumption up and down in response to grid conditions — which Emerald argues could unlock more than 100 gigawatts of headroom on the existing US grid.
It is not a slide deck. Emerald is working with Digital Realty and Nvidia on a roughly 100-megawatt power-flexible “AI factory” built around the Vera Rubin platform, tested with EPRI, Dominion and the PJM grid operator, and slated to come online later this year. Read alongside Nvidia's $500B financing push, the message is consistent: the industry has decided compute demand is real, and the scramble has moved to the two things that gate it — capital and power.
The trust layer goes mainstream
The most under-discussed line in Nvidia's print is a sovereignty story. Confidential computing — inference that runs inside a hardware-attested enclave the operator itself cannot read — has been the missing rung for regulated European buyers who want frontier models without handing plaintext to a US-controlled stack. Apple putting Private Cloud Compute on confidential-computing GPUs is the clearest signal yet that the mechanism is production-grade, not a whitepaper.
Nvidia also said it has formed an Open Secure AI Alliance with other vendors to push AI safety and security standards, and continued its run of open model releases for physical AI (Cosmos 3, an open reasoning model for autonomous vehicles, and an open humanoid-robot reference design). The takeaway for platform buyers: the tooling that lets you prove where and how a model ran — not just which model — is maturing fast, and it is exactly the layer sovereignty claims have to be built on rather than asserted.
Quick hits
- Europe's compute sovereignty push has a deadline. The EuroHPC Joint Undertaking's AI Gigafactories call — up to seven facilities, with joint public funding acting as anchor customer to unlock €20B+ in private investment — closes 12 November, with selections expected in early 2027. Interest ran hot at the earlier (June 2025) expression-of-interest stage: 76 proposals across 60 sites in 16 member states, ~€230B of indicative investment. (Regulation / Sovereignty)
- Autonomy keeps raising. Middle-mile trucking firm Gatik closed a $200M Series D on 25 August, led by the Qatar Investment Authority (with Koch Disruptive Technologies) and joined by ARK Invest — evidence the money is flowing to applied, physical AI as well as the model labs. (Enterprise AI)