Veteran analyst delivers surprise post-Q3 verdict on Nvidia | Official Website of Louis Velazquez, entrepreneur, finance guy and tech innovator

Nvidia’s Q3 earnings print left almost no room for debate.

The AI bellwether posted $57 billion in sales, handily beating earnings estimates again, while delivering $51.2 billion in data-center sales.

What’s even more impressive is perhaps what lies ahead, with Nvidia projecting a jaw-dropping $65 billion for the January quarter, numbers that sent its stock up over 5% after hours.

Still, the loudest reaction just came from veteran tech analyst Daniel Ives, who feels that Nvidia’s print proves we’re nowhere near “peak AI.”

For perspective, investors have spent the bulk of the past few weeks fretting that the AI wave will finally be slowing, and that even a blowout quarter might not be enough to reignite momentum.

However, Nvidia’s Q3 showing makes all that hand-wringing feel silly.

Daniel Ives says Nvidia’s big beat signals far more ahead.

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Nvidia’s Q3 results quiet the skeptics

That’s exactly where the story starts shifting.

Once we effectively get past the market’s jitters and the whole “is AI slowing?” debate, Nvidia’s actual numbers offer a much simpler tale: Demand is far from cooling; it’s accelerating.

Nvidia surged past expectations, widening the gap.

More Nvidia:

Here’s how the results stacked up once the dust settled with Nvidia’s presser highlighting virtually no room for interpretation:

Earnings power stays sharp: Non-GAAP EPS struck $1.30, beating estimates by 4 cents, another clean beat in a long string of them.
Revenue surged: The company posted $57 billion, up 62.5% year over year and nearly $1.9 billion above expectations.
The big engine keeps roaring: Data-center sales struck $51.2 billion, up 25% from last quarter and 66% from a year ago, while surging past estimates by a superb $2 billion.
Looking ahead: Nvidia guided $65 billion for next quarter compared with Wall Street’s $61.8 billion, with gross margins skyrocketing over 74.8% to 75%, clearly elite territory.

Daniel Ives says this is just the beginning for Nvidia

Nvidia sent a clear message to Wall Street that the AI train isn’t slowing down anytime soon, not even a little.

Also, if the numbers didn’t make that clear, Ives certainly did.

The Wedbush analyst wasted no time in rolling out his trademark enthusiasm, hailing the quarter as a full-on “validation point” for the AI revolution.

Ives feels all the AI bubble chatter is “way overstated,” arguing that Mr. Market continues to miss how massive Nvidia’s trajectory really is.

His biggest tell is that for every dollar that’s spent on Nvidia hardware, it typically sparks another $8 to $10 across hyperscalers, cloud providers, and software players.

That tremendous multiplier effect, he feels, is the defining force for Nvidia. Then throw in the booming Blackwell demand, Rubin on deck, and hyperscalers racing for compute. Ives’ view is simple, and we’re only in the third inning of a very long game.

Huang dismisses “bubble” fears, says AI demand has far more runway

CEO Jensen Huang was naturally in high spirits following Nvidia’s massive Q3 showing.

Right off the bat, he dismissed the idea that the AI boom is some passing frenzy.

Huang acknowledged the chatter, though.

“There’s been a lot of talk about an AI bubble,” he said, but made it clear that Nvidia is seeing something remarkably different in the real world. Blackwell sales, he said, felt “off the charts,” while cloud GPUs are “sold out,” and demand is being driven by actual spending, not hype.

Huang pointed out that AI is quickly evolving from mere chatbots into self-driving cars, robotics, medical tech, and smart factories that can efficiently learn on the fly.

On top of that, cloud providers, government agencies, and new AI startups continue to place massive orders that are outpacing supply.

Additionally, CFO Colette Kress feels the company now has clear “visibility to $0.5 trillion in Blackwell and Rubin revenue” through 2026, with breakneck demand so huge that “the clouds are sold out,” with every GPU generation being fully utilized.

Additionally, partnerships are scaling.

AWS and HUMAIN will be deploying nearly 150,000 AI accelerators, while xAI and HUMAIN plan a 500-megawatt data center network. At the same time, Blackwell continues accelerating, with GB300 now “roughly two-thirds” of Blackwell sales, and Vera Rubin preps for its 2026 ramp.