The demand side of the chip spend — a ~$1T Blackwell+Rubin book (a management aggregate, not audited backlog); the $100B OpenAI deal is dead, and the constraint has shifted to supply (HBM4). Watch the per- customer concentration and the circular-financing stakes (Nvidia's 10-Q investments in its own buyers).
Summary
Nvidia shares fell 4% and its credit-default swaps widened after reports it may guarantee up to $500 billion of OpenAI's data-center financing.
Per-customer concentration in Nvidia's roughly $1 trillion order book, and its circular-financing stakes in its own buyers, remain the open questions to track.
CNBC, citing a person familiar, reported that Nvidia has AGREED to acquire Hugging Face for about $12.9B — an escalation from the previous evening’s “in talks.” Reporting notes an earlier $500M offer was rejected and that Hugging Face was valued at $4.5B in 2023. It would be Nvidia’s largest acquisition ever, against $7B for Mellanox. ⚠️ Still unconfirmed by either company, sourced entirely to people familiar, and the original reporting said it could fall through. (CNBC, The Information)
Nvidia rose roughly 7-8% in Thursday’s regular session, pulling Marvell (+5.8%) and Micron (+4.5%) with it. The precise intraday figure varies by source and sampling minute and is not asserted. (CNBC)
Nvidia reported Q2 FY2027 revenue of $96.2B (+106% YoY) with data-centre revenue of $89.0B (+117%), beating the $91-95bn consensus, and guided Q3 to $108.0B ±2% — while assuming zero China data-centre compute revenue. GAAP EPS $2.46, non-GAAP $2.22, gross margin 75.0%; Q3 margin guided to 74.0% ±50bps on rising HBM and DRAM costs. The demand side of this thread has run for months on Huang’s own ~$1T aggregate; this is the first quarter where the guide alone clears $100B. ⚠️ Naming correction carried across the record: this was Nvidia’s fiscal 2027 Q2, not FY2026 — a label wrong in every digest since 08-20. (SEC 8-K, NVIDIA IR)
The 10-Q filed the same day disclosed guarantees capped at $105B tied to an affiliate of OpenAI Group PBC, $3.5B more in lease guarantees for AI cloud partners, and a $25B committed equity pool for AI labs and infrastructure financiers. The call added $500bn+ of planned third-party capital through financing platforms with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR. This thread’s circular-financing angle stops being an inference here — it is now filed, dated and capped in a document with liability attached. (SEC EDGAR, NVDA 10-Q)
Receivables concentration widened to five customers at 72% of the balance (22/14/13/11/10%), from three at 56% (25/18/13%) two quarters earlier. More names carrying large balances, only modestly less concentration overall — and one of those counterparties is the affiliate the $105B of guarantees is written to. (SEC EDGAR, NVDA 10-Q)
Bloomberg reported at 20:56 ET that Nvidia is in talks to buy Hugging Face for roughly $13B. Unconfirmed by either company. Noted here because this thread tracks what Nvidia sells rather than what it buys — the acquisition belongs to a thread that does not exist yet, offered as a candidate 08-27. (Bloomberg)
Morgan Stanley estimates Nvidia’s new Vera Rubin chips could contribute nearly $9B in sales in the fiscal third quarter ending October, the first analyst dollar figure attached to the Blackwell-to-Rubin transition this thread has recorded. Wall Street consensus separately expects Nvidia to guide third-quarter revenue up 82.8% year-on-year to $104.2B when it reports Wednesday. The order book’s demand side has run for months on Huang’s own ~$1T aggregate figure; this is the first outside, per-product estimate of how much of it Rubin specifically is expected to deliver in the near term. (Reuters, via Yahoo Finance)
OpenAI and Broadcom published Jalapeño’s first performance benchmarks at Hot Chips 2026, claiming better performance-per-watt than Nvidia’s flagship. The inference ASIC the two announced in June was disclosed at 700W TDP, with a 128-chip pod at 1.7 exaflops in 4-bit and 27.5TB of HBM4, and claimed advantages up to 1.9x throughput-per-kilowatt and 3.6x lower latency on SemiAnalysis’s InferenceX benchmark; small-scale deployment inside OpenAI is targeted for end-2026, broader rollout 2027. The June item was a partnership announcement — this is the first evidence the silicon works. (OpenAI, TechCrunch)