Nvidia: Still the King! - 08/26/26 — TraderMerlin

If there were any doubts about who's wearing the crown in the AI revolution...

Nvidia just delivered another monster quarter.

In today's episode, we're breaking down the latest earnings from Nvidia—and these aren't numbers that matter only to NVDA shareholders.

Nvidia reported $96.2 BILLION in quarterly revenue, up an incredible 106% from a year ago. Even more impressive, its Data Center business generated $89 billion, up 117% year over year.

Think about that for a moment.

Nvidia isn't just growing.

A company of this size just more than DOUBLED its revenue in one year.

So the big question for today's show isn't simply whether Nvidia had a good quarter.

It's:

Can Nvidia—and the AI boom—keep this going?

We'll dive into the numbers and look at what Nvidia's results tell us about the entire artificial-intelligence ecosystem.

We'll discuss:

Nvidia's latest earnings – What jumped out from the report and where the growth is coming from.
Data Center dominance – What $89 billion in quarterly Data Center revenue tells us about global AI infrastructure spending.
The AI spending boom – Are Microsoft, Meta, Amazon, Alphabet and other hyperscalers still willing to spend enormous amounts of money building AI infrastructure?
Semiconductors – What Nvidia's results could mean for AMD, Broadcom, Micron and the rest of the chip sector.
Memory – More AI computing means enormous demand for high-performance memory. Does Nvidia's growth strengthen the case for DRAM and HBM?
Energy & infrastructure – All those GPUs have to go somewhere—and they require data centers, electricity, cooling, networking and an enormous infrastructure buildout.
Valuation – At some point, even incredible growth can become fully priced in. Has Nvidia reached that point?
The broader market – Nvidia has become so large and influential that its results can impact the Nasdaq, S&P 500 and overall investor sentiment.

That's what makes this earnings report so important.

Nvidia is no longer simply a semiconductor company investors watch four times a year.

It's become one of the market's primary gauges of the entire AI investment cycle. </st