Colossus 2
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What is the background of Elon Musk’s Colossus data center project and why does it matter?
Hi, I'm PJ Vote. This is Search Engine. This is episode two of our story Colossus. If you haven't heard episode one, please go back and listen. In episode one, we learned about how data centers have evolved in the AI era, how they become more expensive, less a shared resource in tech, more like weapons being hoarded in an arms race. We began the story of one particular data center, Colossus, Elon Musk's ambitious project in the city of Memphis, which would end up causing a huge fight between the people in the city and XAI. Musk has made his career on big promises and risky bets. It's left him in control of one of the world's most popular social media platforms and the world's most valuable car company.
But XAI really looks to me like the riskiest bet Elon's made. And in part two of our story, we're going to look at why winning this bet is so important to Musk, what he believes the world will look like after he's won the AI race, and how far he's financially extended X AI to try to make that bet pay off. Here's Shorty.
Chapter six Collateral damage. Just two years after creating XAI, Elon Musk had proven many of the experts wrong. He was no longer a have not. With Colossus, he now really did command one of the most powerful data centers on Earth. Colossus was training Grok, Elon's steadily improving chatbot. And this year, XAI absorbed X, Elon's social media platform, and Grok was integrated into X.com. You could begin to see a grander vision emerging. XAI would be the brain running the rest of Elon's operations. As Garok grew more intelligent, it would one day power his Optimus robots, support operations at SpaceX, be the driver in self-driving Teslas. That was the dream. But for all of that to happen, Grok would need much more compute.
And so XAI announced it was scaling up yet again, now to a million GPUs. The company made a new purchase, another piece of land in Memphis. This one a warehouse, larger than the oven factory. It would be anointed colossus too. Elon, of course, was not the only mogul trying to move at hyperspeed. OpenAI's Sam Altman announced Stargate, which would also scale up to a million GPUs. Mark Zuckerberg was also talking about his giant supercomputer, Prometheus, followed immediately by an even bigger project, Hyperion. Watching all this, you had to wonder: as the spend got bigger and the energy needs ballooned, Did the contestants in this race even know what the finish line was? This September I got one answer.
On stage at a conference, the hosts of the All In podcast interviewed Elon.
You're scaling up your supercluster in Colossus in Memphis. Can also now Yeah, can you could you give us an update?
And Elon was asked the question: At what point in the GPU frenzy might enough be enough?
Is there a point of diminishing returns or Like how much more compute if you throw twice as much compute at it, do you get a ten percent better model? Do you get a hundred percent better model? Like is it log linear? Great question.
I guess Elon responds, more GPUs will always mean better AI. Like say for argument's sake, like tenx more compute will double the intelligence. Maybe that's that that might be a rough rule of thumb. And for him, any increase in intelligence, obviously, is worth the investment. And then he says. I think we'll see intelligence continue to scale all the way up to where You know, most of the power of the sun is harnessed for compute, and then ultimately most of the power of the galaxy. Most of the power of the sun, and ultimately, most of the power of the galaxy. That phrase stuck with me because it crystallized an essential truth about this AI race. For Elon, and maybe for the other CEOs he's racing, there is no finish line.
It's not that we reach AGI and then we just get to stop. There is no limit to intelligence, which means there's no limit to the number of GPUs we will need. This partly explains the ravenous hunger driving this AI fight, its infinite quality. And to feed that hunger, tech companies are doing a lot of borrowing. Take XAI, for instance.
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Chapters
3 chapters
1
What is the background of Elon Musk’s Colossus data center project and why does it matter?
0:25–17:05
2
How does Elon Musk’s XAI plan to scale to a million GPUs and what does that mean for AI performance?
17:05–33:56
3
Why are investors financing XAI with massive debt and how are the loans structured?
33:56–43:01