Rittenhouse Research
AI Infrastructure, Data Centers, Neoclouds, Software & Fintech Research
NVIDIA is steering toward highly diversified revenue, with enterprises and neoclouds a growing share, reducing its concentration in the largest hyperscalers and frontier AI labs. Law firm Latham & Watkins is buying NVIDIA servers and having its engineers fine-tune Nemotron 3 open-weight models in-house. NVIDIA's open-source push, including the Poolside and Hugging Face acquisitions, accelerates that diversification. x.comÂ
NVIDIA's direct leasing of data centers is a savvy move that supports its neoclouds, keeps capacity flexible and handicaps rivals. Neoclouds that would struggle to secure their own 300 MW+, 15-year leases can sublease from NVIDIA, which can later reclaim the space for its own open-source models such as Nemotron. Taking megawatts off the market also hurts Google, which can't sell TPUs to customers without power; Hut 8, NVIDIA's first direct lessor, had ties to Google and Anthropic. x.comÂ
Enterprise agents widen NVIDIA's opportunity beyond inference because reasoning, tool use and company-data workflows need infrastructure and controls outside the model. Satya Nadella describes those needs; Vera CPUs, OpenShell and Sentry on BlueField are the NVIDIA read-through. x.comÂ
Nvidia's CUDA retains developers, putting it among 12 stocks that could dominate the decade ahead. Nebius's GPU rental price rise signals demand; Fabrinet and Credo supply AI connectivity. DraftKings has betting scale; Microsoft has Azure and an OpenAI partnership; Figma anchors design work; Shopify powers stores. TeraWulf pivots power sites to AI leases; Constellation, the largest US nuclear operator, signs big-tech power deals; Meta spends on AI; Uber has autonomous-vehicle partnerships. x.com … Show more
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
Enterprise and neocloud demand is creating a second wave of AI infrastructure spending, with tailwinds for Nvidia and Super Micro. Dell forecasts 200 GW of AI data center growth through 2030, half driven by these customers, and estimates a $1 trillion AI infrastructure opportunity over the next four years. AI servers could enter a new growth phase in 2027, with higher shipment volumes and more revenue per deployment. x.comÂ
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.comÂ
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.comÂ
Nvidia's Hugging Face acquisition is underappreciated by a market that treats it as marginal insurance. Big players are likely soon to move beyond using open models to cut costs and start investing in their development, to keep those models at the frontier, partly because AI labs compete with their own customers. Nvidia looks well ahead of the curve in understanding this dynamic. x.comÂ
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.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 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
