Stanphyl Capital
Managing Member & Portfolio Manager at Stanphyl Capital, Value Investor
Nvidia's neocloud orders increasingly require its own credit support. Per The Information, it is in talks to guarantee billions of Nscale debt for a 460MW data center; Nscale needs an IPO to fund $24B in Nvidia systems committed for 2026-27. Separately, a quoted article says US officials identified Alice Huang, scrutinized for possibly routing Nvidia chips to China, as a Chinese intelligence asset with direct access to Jensen Huang. This is just the tip of a very big iceberg. x.com x.com x.comÂ
Nvidia could become the weakest link in AI's circular financing economy as it takes on more customer risk. It is turning to insurers to cover customers' GPU debt, and if insurers require Nvidia to keep backstopping deals, its liabilities will keep growing on top of $245B of supply chain commitments and prepayments as of last quarter. Such large counterparty conflicts are unwise. Amazon is also looking to move $8B of Nvidia Blackwell GPUs into an SPV to take on more debt for its AI buildout. … Show more
Nvidia's capacity commitments argue against AI orders drying up soon. Its filings show mostly memory and manufacturing commitments rising from $119 billion to $279 billion in one quarter, with about $175 billion covering 2027-28. Fewer new data-center projects could reflect power, land and building bottlenecks rather than weaker demand; a mid-teens multiple still reflects a fair worry that profits may not last. x.comÂ
Lenders committing billions to neoclouds weaken the case that expansion will be starved of affordable capital. IREN secured $363M of GPU-backed financing and Nebius a $3.5B credit facility. Longer-lived, redeployable Nvidia GPUs are becoming more acceptable collateral; customer prepayments and cash flow from new contracts offer other funding sources as compute demand outpaces supply. x.comÂ
Nvidia's margins are effectively fake because it round-trips its revenue, and its reported $250B financing guarantee for OpenAI's Ohio data center looks one-sided and independent of chip sales. That $250B exceeds all of Nvidia's lifetime AI profits, as Dr_Gingerballs pointed out, and its downstream entanglements mean its true margins are lower. x.comÂ
Nvidia's hardware demand depends on customers raising capital, putting real-money chip sales at risk. Last September Nvidia signed a letter of intent to invest up to $100 billion in OpenAI in stages as OpenAI buys its systems. The toll collector is lending the driver money for the toll. Stephen Witt credits Nvidia's CUDA moat to labs' reluctance to rewrite their code. x.com x.com x.com x.comÂ
Nvidia's need for neoclouds to survive underpins the case for Nebius despite financing fears. Elon Musk says debt markets have almost entirely shut off companies without substantial revenue outside AI data centers and expects most neoclouds to fail or consolidate; SpaceX competes with them. x.comÂ
Nvidia faces risks on both sides of the AI cycle. Vendor financing is a concern at the center of the buildout: strong AI sentiment brings competition, while weaker sentiment brings a slowdown. That makes it the largest holding of greatest concern. x.comÂ
Nvidia retains pricing power if its full system keeps reducing customers' cost per effective AI task. Strong AI demand alone does not ensure profits across the chain: rising chip, memory and optical costs burden buyers, while tighter financing and slow collections threaten operators. Large customers developing their own chips could pressure Nvidia's margins even as the market grows. x.comÂ
Nvidia's ballooning future commitments relative to its revenue evoke Enron. Per Gary Marcus, citing Fortune and Nvidia's 10-Q, second-quarter revenue was $96 billion while future commitments total $366 billion, led by $279 billion of supply and capacity commitments, up from $119 billion a quarter earlier, plus cloud service agreements, data-center leases, equity investments and capex commitments. x.comÂ