Rihard Jarc
Co-Founder & CIO of New Era Funds, AI/Cloud/Semiconductor Research
Nvidia's reported hyperscale revenue share overstates demand from the largest cloud companies, leaving it more exposed to SpaceX and neoclouds. Jensen Huang confirmed SpaceX was moved into the hyperscale category; excluding it, Amazon, Meta, Alphabet and Microsoft account for less than the headline 55% share. That makes it seem those four have shifted more demand to their own ASICs than previously thought. x.com
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.com
SpaceX's exclusive use of Nvidia GPUs and other supply constraints make Musk's 13-20 GW operational compute forecast for end-2027 too high. A substantial buildout is still incredibly enticing, but reaching that scale likely requires cheap capacity from struggling neoclouds, mostly through capacity deals and some acquisitions. Its attractive $40B off-balance-sheet GPU lease deal is only a drop in the bucket of the debt needed. Capacity can still grow quickly over time. x.com x.com x.com x.com … Show more
Nvidia's shares remain pressured because neoclouds have yet to show demand revenue can cover debt service even at higher rates. CoreWeave and Nebius are dragging the shares, though that concern is being priced in and digested. Reuters reports ByteDance, Alibaba and Tencent ordered $35B in Nvidia chips; Elon Musk says SpaceX is on track to bring roughly 200,000 GB300 GPUs online per month through end-2026. Nvidia made a higher low, and the next higher-high target is $256. x.com x.com x.com x.com
A rising value of compute per watt should benefit AI cloud, chip, connectivity and power suppliers. Elon Musk says that value will rise over time. Nebius has Microsoft and Meta deals; Marvell benefits from custom silicon demand; Credo connects GPUs; Vistra has long-term nuclear supply deals with Amazon and Meta; Nokia's Nvidia partnership could help it capture data-center networking growth. x.com x.com
AMD could see much more accelerator demand as OpenAI and Anthropic allegedly increase their orders by multiple gigawatts. Nvidia's only real edge over AMD may soon be its size and resources; Lisa Su is a master operator. x.com
Anthropic's customer spending and compute buildout show AI monetizing at scale, a bullish read-through for Nvidia, Broadcom, Alphabet, Amazon, Microsoft, Nebius, CoreWeave and Hut 8. Its IPO filing reports H1 revenue up 14-fold to $16.3B, 11,900+ customers spending $100K+ annually and 1,900+ spending $1M+, alongside $9B in H1 infrastructure spending and about $430B in future compute commitments. x.com
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.com
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.com
Anthropic's customer growth gives AI compute suppliers firmer demand evidence than capacity plans. Its S-1 reports $16.3B in H1 2026 revenue and about 900% net retention as of September 30, the strongest evidence yet of adoption. Over $500B in commitments include a roughly $125B five-year Broadcom equipment lease plus Amazon, Google and Microsoft arrangements; Nvidia GPUs are in its mix. Long-term obligations could outlast usage revenue. x.com
Low Anthropic spending relative to customer expenses points to an enterprise AI adoption gap that leaves Nvidia reliant on intermediaries able to build their own chips. Anthropic's S-1 says over half the Fortune 500 were $100k+ annual customers as of September, yet spending among its publicly traded customers averaged under 0.1% of expenses in Q3 2026. That measures one provider and cannot show whether AI deployments succeed; Nvidia needs more enterprises buying its compute directly. x.com
