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.com 

Nvidia's monster quarter shows the AI boom continuing, with revenue growth accelerating to over 100%. Per the reported results, Q2 revenue was $96.2B, up 106%, data center revenue $89.0B, up 117%, and Q3 guidance $108B. 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 

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.com 

Nvidia's demand no longer rests only on the big cloud companies, so it is too early to say AI spending is ending. Hyperscale revenue was $48.7 billion, up 13% quarter over quarter, while the ACIE segment reached $40.3 billion, up 25% sequentially and 138% year over year. Demand from neoclouds, enterprises and governments is growing fast. x.com 

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.com 

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.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 

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.com 

Nvidia's Q2 shows AI infrastructure demand still accelerating, making it a company you simply have to own if the AI revolution is as big as believed. Revenue reached $96.2B, up 106% y/y and 18% q/q, with data center revenue at $89.0B, up 117%, and gross margin steady at 75%. Q3 guidance of $108B assumes zero China data-center compute revenue, which may change. Vera Rubin is in full production. The after-hours dip is irrelevant next to these figures. x.com  x.com