Charlie Garcia
Founder & Managing Partner of R360, Entrepreneur/Author, Veteran
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 gets paid no matter which AI lab builds the smartest model, just as the mills that sold track got paid on every mile even when the railroads went bankrupt, and the cable laid by failed dot-coms still carries traffic. After this week's results, the forecast for NVIDIA's coming quarter is higher, and it is in print to be graded in ninety days. 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 gets paid for AI infrastructure while the companies funding AI buildouts bear the spending. Alongside Apple's edge hardware business, Nvidia's position as a supplier distinguishes it from the AI spenders that are losing to companies collecting the cash. x.comÂ
Guaranteeing AI data-center debt could eventually leave Nvidia unable to obtain financing. Per The Information, Nvidia is in talks to provide billions in guarantees on Nscale debt to develop a 460-megawatt data center; one day, its card may read "Denied!" 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
Demand for Nvidia chips remains robust, and the stock could rally to a $273 technical target, where this rally would match the last one in size. SpaceX reportedly raising $40 billion through loans and bonds to buy Nvidia chips has helped bring it close to a first-ever $6 trillion value. The multi-model signal is a mixed long. The risk is that customers are taking on heavy debt to pay, feeding Michael Burry's demand-whip theory and raising credit risk if end demand falls short. x.comÂ
Nvidia's AI profits are real, but its compute demand depends heavily on fragile venture funding. Per Chamath, 1% of firms account for 90% of AI spending, and 72 cents of each dollar comes from unprofitable VC-backed firms. Venture money passes through startups to Nvidia and cloud suppliers; if the next raises fail, concentrated orders could contract together. x.com x.com x.comÂ
NVIDIA's Apple-like ecosystem moat lets it charge for software as well as hardware while still offering customers the best value per dollar. Jensen Huang said, via Tom's Hardware, that AI-factory agent software could cost about $2,000 per GPU annually; on a potential 5 million GPUs, that would be $10B a year. If that fee does not make NVIDIA uncompetitive, it likely has more than a $2,000 annual per-GPU total-cost advantage over AMD. The licensing model itself is unappealing. x.comÂ
CoreWeave, Nebius, Oracle and IREN cannot count on Nvidia to absorb their debt risk because its AI funding creates no obligation to rescue them. If the AI trade unwinds and they become desperate for cash, their assets could become acquisition targets at a fraction of peak valuations; Nvidia might acquire them cheaply instead of bailing them out. x.com x.comÂ
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's free-model plan could defend chip demand as the two largest AI labs cut reliance on its hardware. OpenAI is building a chip with Broadcom; Anthropic mostly uses Google and Amazon chips. NVIDIA is putting together Reflection AI (in talks), Hugging Face and Groq for free models and paid chips. At 11x expected 2029 earnings versus ~19x for Microsoft, Alphabet and Amazon and 32x for Apple, its price reflects fears of slower AI spending and lost customers. NVIDIA is a 'Maximum Opportunity'. … Show more
