Product & chips · Aug 28, 2026

NVIDIA's CFO gave two numbers, one supporting the case that compute is concentrating into two labs, one arguing against it.

Chips & semiconductors · This week (earnings reported August 27)

From the Aug 28, 2026 daily brief

NVIDIA's latest quarter came in at US$96.2B of revenue, up 106% year over year, with US$89B from the data centre segment and a company-wide gross margin of 75% (data centre trade outlet DCD, 08-27). CFO Colette Kress gave two figures that map directly onto today's main line. Supporting concentration: "we expect demand from the AI labs for which we expect to leverage our balance sheet to contribute toward roughly a quarter of our business next year." Arguing against it: hyperscaler revenue was US$49B, up 13%, while the separately reported "AI clouds, industrial and enterprise" segment was US$40B, up 25%, growing faster than the hyperscalers. CEO Jensen Huang makes the same point: "This time last year, one lab alone was driving the buildout; today, we have a golden age of new AI labs and startups, multiple frontier labs scaling in parallel, a thriving open-model ecosystem and physical AI coming online."

⚠️ Three definitions to pin down first. One, that 75% is the company-wide gross margin, not the data centre segment's. Two, her separate line about revenue from each GW of data centre rising from US$30B to US$60B over five years measures NVIDIA's full-stack take from one build-out, and it is not the same ruler as the revenue-per-MW-per-year figure in item 2 of today's main line; the two cannot be set side by side and subtracted. Three, the "next year" she refers to is NVIDIA's own fiscal year, which does not line up with the calendar year, and we have not worked out the mapping. ⚠️ There is an interest here too: a seller financing its buyers decouples the demand reading from real end demand, and that is precisely what "leverage our balance sheet" means.

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NVIDIA's CFO gave two numbers, one supporting the case that compute is concentrating into two labs, one arguing against it.

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The new flagship's enterprise edition went live with its first published prices, and its own account of the mechanism doubles as an audit cost.

OpenAI says its first in-house inference chip delivers 1.5 to 1.9 times the throughput per watt of "the commercial systems tested" — and does not say which systems those were.

Meta launched a personal AI agent called Muse, and the part worth recording is not what it does but that a payment network has written terms for a non-human buyer for the first time.