Here we go again with Nvidia falling on earnings. What the sellers are missing

An important development from the financial markets: At this point, it's undeniable that the issue with Nvidia stock is sentiment, or rather disbelief. There's no other way to explain the muted stock reaction to Nvidia's quarterly report — not only after Wednesday night's blowout, but over the past several quarters. "Demand has gone parabolic," CEO Jensen Huang said to close out the call.

Last quarter, he said demand was "skyrocketing. " You almost feel bad for him. He's going to run out of words soon to describe the demand.

Economic Details

Arguably, the most interesting part of Nvidia's report is its new reporting framework — specifically, breaking down its data center business by the hyperscalers ( Amazon , Alphabet , Meta , and Microsoft ) and non-hyperscale customers. Listen, the hyperscalers are important. They're spending hundreds of billions on capital expenditures to build new data centers.

They've been the main course for the last $200 worth of Nvidia stock gains. But what if they were only the appetizer? On the call, Huang said Nvidia revenue will grow faster than the growth of hyperscale capex.

So, if hyperscale capex is what got us here, and Huang expects Nvidia revenue to outpace future hyperscale capex growth going forward, where does the upside come from? Everyone and everywhere else. We covered this in our earnings analysis Wednesday night.

Analyst Views

But let's spend a minute going deeper into these non-hyperscalers. That group consists of purpose-built AI computing providers called neoclouds (think CoreWeave , Nebius , and Iren ). It also includes industrial companies and other enterprises with on-premise computing infrastructure; countries building out their own AI infrastructure in what Nvidia calls sovereign AI; and other smaller AI players.

Nvidia's official name for this sub-segment is AI Clouds, Industrial and Enterprise (ACIE). Huand said the customers in the ACIE cohort are "fairly poorly understood," attributing that in part to how fragmented the market is. This may work in Nvidia's favor over the long run, helping to address one of the biggest fundamental concerns held by some investors: hyperscalers developing their own custom AI chips.

Huang said that because this ACIE opportunity is an amalgamation of so many smaller AI players, there is no real demand for custom semiconductor solutions. He said these AI native neoclouds don't want to deal with the complexities of designing a chip — it takes years and lots of money — or ensuring all parts of a data center work together as they should. What they want is to be up and running as fast as possible with as high a utilization rate as possible.

Financial markets are tracking the development closely as investors assess the likely impact.