Hyperbolic raises $30M to aggregate the world's heterogeneous GPU compute into one unified platform

Speaker 2: You gotta head to the New York Stock Exchange. Our next guest is Jasper Jong from Hyperbolic, cofounder and CEO. His first appearance on here. Jasper, how are doing? Welcome to the show. Hey. How's it going? Sorry for keeping you here, guys. Thank you so much for hopping on. Please introduce yourself and the company.

Speaker 5: Hey, everyone. I'm Jasper. I'm the CEO of Hyperbolic. I grew up doing math competitions and won a Fugal medals at Chinese Math Olympiad, Alibaba Global Math Competitions. I finished my math PhD at UC Berkeley in two years, which made me the fastest person to finish a PhD in official Berkeley.

Speaker 1: What stopped you from doing it in... What stopped you, just out of curiosity, from doing it in one year? Like Oh, Berkeley has a residency requirement. Oh. Technically, I need two years. Hands retired. That's hands retired. So without that requirement, you think you could have done it in a couple months? Maybe a month?

Speaker 5: With AI now, I think so. Yeah. Oh, really? Okay. Okay.

Speaker 1: Did you... Have you ever faced Scott Wu? Oh. Yeah. Oh, yeah. I mean, I heard about him. Yeah. Haven't haven't met him in person. No. No. I meant, like... But you guys were kind of competing in different Yeah. Regions, it sounds like. I was hoping that we could find a video of you guys, like Going head to head. Yeah. Like like old LeBron videos. Yeah. Exactly. High school. Sparring. Yeah.

Speaker 2: That'd be great. But tell us about the company. What are you what are you building? How how how has it been going?

Speaker 5: Yeah. It's been pretty great. I mean, I have a Bolic where aggregate and turn heterogeneous compute Mhmm. Into one unified platform. Okay. So it's a platform where people can just come access compute in a very flexible way. Yeah. They can manage and orchestrate the compute globally and then sell the compute back Yeah. When they don't need it. How heterogeneous are we talking about? Because we saw a

Speaker 2: a cluster of 9,000 a one hundreds on eBay earlier today for something like $60,000,000. Then, you know, you got people with a gaming PC that might have a, you know, $50.90 NVIDIA card in it. How low can you go? What is the practical scale to that heterogeneity?

Speaker 5: Yeah. Totally. So our technology support any kinds of, GPU chips. Mhmm. But then, technically, I think most customers want at least the the a 100 plus Okay. Chips. We're also starting seeing people using Pro 6,000 for inference as well. Right. We can go as high as to Blackwell and Bariupi.

Speaker 2: Yeah. How much spare compute is out there? Because you you you you... It feels like every day there's a new story about, like, oh, there's such a compute shortage. Like, tokens are selling. Like, you know, the the the the spot market is in Contango and, like, the... There's so much AI demand, and yet you're still finding folks out there that have spare capacity to bring on the platform. Is that correct?

Speaker 5: Yeah. I would say we're not just tackling spare capacity. Even for, like, a big cluster, our goal is to maximize the revenue per GB hour. Right? Like, technically, you can sell off take for b 300, $445, $5. Mhmm. But it's, like, very low margin business. Mhmm. If everyone... Even if you're on Neo Cloud, you want, like, to maximize the revenue to $10, $20 per GP hour. Sure. You can work with us. Yeah. And so are you seeing... Like, what is driving

Speaker 2: that incremental offtake? Is it that there's a company that is renting a cluster and they're rent... Doing a training run, then they pause for a little bit to review the results, and so you can go do some inference right there? Or is it you're doing stuff on the other side of the world when everyone's working with the big models during their workday, but then there may be the GPUs aren't on fire in the middle of the night so you can sell inference somewhere else? Like, what are the use cases that are... That that your customers are coming to you for specifically?

Speaker 5: Yeah. So I would say what are the other cases I mentioned are valid for us. Mhmm. And I would say we start with first helping customers to get access to compute first. So, you know, like, there are more than 300 plus neo clouds. The market is super fragmented. Yeah. And it's the first time that technology company, founder, need to start worrying about sourcing procurement, but also the cash flow, the capital, the hedging, and risk management. Yeah. And so what we do is that we kind of have, like, the system, which is called Forge, which is a unified control plan that allow us to take any bare metal cluster, attach it to our platform, and now it can be shared globally with different customers in a very flexible way. So they will start using the compute from our platform. And then let's say if they lock in for three year contract or, like, a few a few year contract Yeah. Then like what you said, if they are doing training run after the training run, they don't need that. They can also sell it back to the market and the same for Visa, Inference too. So Intel's CEO, Lip Buuton, is backing up the truck for this company.

Speaker 2: What is your interaction with him and Intel? He's backing up the truck investing. But, you you you know, obviously, he's, you know, an incredibly important CEO in the AI world, but it's not like he's running a neo cloud that needs offtake capacity necessarily. Like, there's not a super logical business relationship that I can think of. But do you see this growing into a strategic relationship, or is it just you're... You got along great and he had the capital to invest?

Speaker 5: Yeah. I would say, fundamentally, like, he's... Outside of Intel, he's a VC. Right? He he he founded World and Catalyst, which is the best semiconductor Yeah. VC in the Silicon Valley. Yeah. And so, yeah, like, the business ran very well, and I I think he see the upside of building this aggregation layer, orchestration layer. Yeah. But then our goal is, like, we're trying to aggregate the world's compute. We want to put the world's compute behind the people who are bold enough to change the world. Yep. Right? So naturally,

Speaker 2: there's a potentially strategic angle here to leverage other kind of chips. Yeah. Well, you raised $30,000,000. I'm gonna hit the gong for you. Congratulations and thanks. Thanks. Because

Speaker 1: you guys called this the a one, I feel like you might be back on in, like, a week or so for the a two. So For

Speaker 5: sure.

Speaker 2: It's an exciting time. Have investors putting money for the next round. So There we go. There we go. We go. Breaking news. A call when you're when you're ready to come back on to announce the the second tranche. Have a great rest of the second tranche, but And thank you so much Nice to meet you. For coming on TBP. Thanks. Have a great rest of day. Talk soon. Goodbye. And that is our show, folks. We will be back tomorrow at 11AM Pacific. What did that have to do with what I said? Show's over. Rip the coffee. You can take off your headset. Because normally I think about this, like, I heard something I didn't like, but I understand. Well, some people might be Nuance. Yeah. Pissed off that the show shows over. I can't deal with no show. Yeah. That makes sense. Okay. Got it. Well, thank you so much for tuning in to TBPN, and we will see you tomorrow at 11AM Pacific. An honor. It's an honor. Privilege. Privilege. Have a blessed Wednesday of your life. Of your entire life. Leave us five stars on Apple Podcast and Spotify. Sign up for our newsletter at tbpn.com.

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