Nvidia’s Blackwell Bonanza: 3.6 Million GPUs Sold, and Meta’s Not Even in the Count!

A Bombshell from Jensen: Nvidia’s Blackwell Bonanza

Okay, let’s get this straight—today, March 19, 2025, Nvidia’s CEO Jensen Huang dropped a bombshell that’s got everyone in tech doing a double-take. During a Q&A with financial analysts at Nvidia’s annual software developer conference in San Jose, California, he casually revealed that the top four cloud service providers have snapped up a staggering 3.6 million Blackwell GPUs.

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Yep, you heard that right—3.6 million. And here’s the kicker: that number doesn’t even include Meta, one of Nvidia’s biggest AI-hungry partners. My jaw’s still on the floor, and I’m betting yours is too. So, what’s going on here? Let’s dive in.


Blackwell: The AI Chip Everyone Wants

Nvidia’s Blackwell Bonanza: 3.6 Million GPUs Sold, and Meta’s Not Even in the Count!
Nvidia’s Blackwell Bonanza: 3.6 Million GPUs Sold

If you’re not already in the loop, Nvidia’s Blackwell GPUs are the shiny new toys in the AI world. Launched last year at GTC 2024, these bad boys are built to power the next wave of artificial intelligence—think trillion-parameter language models, real-time generative AI, and all the sci-fi stuff we used to dream about.

They’re faster, more energy-efficient, and apparently so in demand that Nvidia can’t churn them out fast enough. Huang said it himself: those 3.6 million orders from the big four—think Amazon Web Services, Microsoft Azure, Google Cloud, and maybe Oracle—are just the tip of the iceberg. Meta’s sitting this tally out, along with smaller cloud players and a swarm of startups. If that’s not a flex, I don’t know what is.


Why Meta’s Exclusion Matters

Now, let’s talk about Meta for a sec. This isn’t some random sideliner—Meta’s been gobbling up Nvidia chips like they’re candy. Last year, they reportedly ordered hundreds of thousands of H100 GPUs (Blackwell’s predecessor) to train their Llama models and power their AI ambitions.

So, when Huang says these 3.6 million Blackwell orders “under-represent the demand” because Meta’s not included, it’s like saying, “Oh, we sold out the stadium, but the VIP section’s still uncounted.”

Analysts are buzzing that Meta’s likely got its own massive batch on the way—possibly later this year, per hints from Nvidia’s CFO Colette Kress. Add in the smaller fry and startups, and we’re looking at demand that could make your head spin.


The Big Four and the AI Arms Race

Who are these top four cloud giants scooping up millions of Blackwell GPUs? While Huang didn’t name-drop, it’s not hard to guess.

  • AWS, Microsoft Azure, and Google Cloud are locks—those three have been neck-deep in AI for years, powering everything from chatbots to cloud AI services.
  • The fourth? Could be Oracle, which has been cozying up to Nvidia lately, or maybe a dark horse like IBM.

Either way, these heavyweights aren’t just buying chips—they’re stockpiling them for an AI arms race that’s heating up fast. With Blackwell’s promise of 25x lower costs and energy use compared to older models, they’re betting big on staying ahead of the curve.


Nvidia’s Golden Moment

Let’s zoom out. Nvidia’s riding an AI wave that’s turned it into a $2 trillion-plus juggernaut, trailing only Microsoft and Apple in market cap.

The Blackwell hype is next-level—posts on X today are calling it a “monster hit”, with some saying it could be Nvidia’s “most successful product ever”, echoing Huang’s own boasts from last year.

And get this: those 3.6 million GPUs? At $30,000 to $40,000 a pop (per Huang’s 2024 CNBC chat), that’s upwards of $108 billion in revenue from just this chunk of orders. Toss in Meta and the rest, and Nvidia’s laughing all the way to the bank.

No wonder Huang’s grinning ear-to-ear in San Jose.


What’s Missing from the Picture?

But hold up—there’s more to chew on. Huang’s line about “under-represented demand” hints at a supply crunch. Blackwell’s rollout hit a snag last year with a design flaw (which Huang owned up to as “100% Nvidia’s fault”), pushing mass shipments into 2025.

They’ve fixed it with TSMC’s help, and Q4 2024 saw “several billion dollars” in Blackwell revenue, per Kress. Still, with 3.6 million already spoken for—and that’s not even the full picturenew buyers might be waiting until late 2025. That’s a headache for startups or smaller firms who can’t elbow their way to the front of the line.


Why This Hits Different

For us regular folks, this isn’t just tech nerd news. More Blackwell GPUs in the wild mean AI’s about to get a whole lot smarter, faster.

Picture:
Doctors using AI to spot diseases in seconds
Cities optimizing traffic on the fly
Your phone’s assistant finally understanding you

Sure, there’s the usual “AI taking jobs” chatter, but the upside’s hard to ignore. And with Meta likely training its next-gen Llama models on Blackwell, your Instagram or WhatsApp could soon feel like they’ve got a brain upgrade.


The Buzz Is Electric

X is on fire with this today—users are tossing around phrases like “staggering demand” and “Nvidia’s killing it.”

One post I saw pegged it as “AI’s iPhone moment,” and honestly, it’s not far off. The vibe’s a mix of awe and impatience—people want these chips now.

Meanwhile, the conference crowd’s eating it up, with analysts scribbling notes faster than Huang can talk. It’s a flex, a promise, and a tease all rolled into one.


Where’s This Headed?

So, what’s next? Nvidia’s not stopping here—they’re already shipping Blackwell-powered servers to Microsoft Azure, with Google and others in line.

Meta’s order could drop any day, pushing that demand number into the stratosphere. And with Huang hinting at “plenty of visibility” on demand this time (unlike the H100 frenzy), they’re playing it smart—building fast and big.For us watching from the sidelines, it’s like seeing the future get built in real-time.

Will Nvidia keep this crown?
With Blackwell selling like hotcakes—and Meta still to comeI wouldn’t bet against them.This is AI’s big league, and Nvidia’s swinging for the fences. 🚀

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Shivam Namdeo is a passionate writer and researcher specializing in geopolitics, world affairs, technology, and personal development. With a keen analytical approach, he delves into the complexities of global events, historical narratives, and technological advancements, presenting well-researched insights that engage and inform readers.

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