00:07:00 · Molly O'Shea, Philip Johnston
[00:07:00] S0: It's a great point because Starcloud, you guys went from founding to in orbit in twenty one months. [00:07:06] S1: Yeah. Which is a record. I think the fastest anybody did that before us was four years. And that was basically because Adi and Ezra built the satellite by hand. Yeah. We'll speak with Adi in a minute. But [00:07:16] S0: Oh my god. And so I know this is something that might surprise people. It definitely surprised me because now I'm doing more of these tours, and the locations, like, it's not El Segundo. It's not down in Long Beach, but you guys are up here in the Seattle region. So why Seattle? [00:07:37] S1: Yeah. So people... No. People don't realize this, but, 90% of all satellites launched in the last few years by mass were designed, built, and tested in Redmond, Washington, which is exactly where we are now. Me and Ezra were sitting in El Segundo for the first month of the company, and we were typing into LinkedIn like, okay, spacecraft thermal engineer. And it was literally going like Redmond, Redmond, Redmond, Bellevue, Seattle, Redmond, Redmond, and we were like, okay, shit, I guess we have to move up. Yeah, so about half our team actually formerly worked at SpaceX. The other half were the hyperscalers, so we have AWS and Azure down the road. So for doing data centers in space, this is literally the best place in the world you could be. [00:08:17] S0: Okay. So we're also joined by another co founder of Starcloud, Adi. So Adi, tell us a little bit about your background and how did you end up here?
00:08:17 · Molly O'Shea, Adi Oltean
[00:08:17] S0: Okay. So we're also joined by another co founder of Starcloud, Adi. So Adi, tell us a little bit about your background and how did you end up here? [00:08:26] S3: Yeah. Before Starcloud, I was at SpaceX for about two years. I was a responsible engineer for a feature called Tracking Beams, which essentially gives Starlink to all the in motion vehicles, including aviation, cruise ships, and even the Starship. So if you've ever seen those cool Starship videos Yeah. I help pull that. Before Star... Before SpaceX, I was at Microsoft for about two decades. And in the last couple of years or so, I was working on a GPU, large scale GPU deployments in production. We onboarded the very first large Zacchaeus models before they were called LLMs in a bunch of data centers and working very closely with NVIDIA on that. And it was, like, really rewarding to be part of two keynotes in GTC, one in 2019 where Jensen talked about conversational AI. That was what it was called back then. And our demo was part of that keynote. And then later this year, part of the same GTC keynote in in San Jose just introduced Space one, which is one... The very first GPU designed to work in space. [00:09:39] S0: Damn. Yeah. Philip was telling me you've been mentioned in GTC talks multiple times. [00:09:44] S3: Not me personally, but our team. Yes. [00:09:47] S0: That's incredible. [00:09:48] S3: I helped build the demo. [00:09:49] S0: Yeah. So we're standing in front of Starcloud 2. Do you wanna give us a little rundown on it?
00:09:49 · Molly O'Shea, Adi Oltean, Philip Johnston
[00:09:49] S0: Yeah. So we're standing in front of Starcloud 2. Do you wanna give us a little rundown on it? [00:09:54] S3: Yeah. So people are busy at the moment. They are about to fire the HDRM, which is essentially a latch that will deploy the solar panels on each side of the spacecraft. And if you hear a loud pop, that's it. So we are testing the satellite actively. We are testing various systems. [00:10:15] S1: There you go. As long I as know. I was was like, something's been [00:10:21] S3: Maybe not as climactic as just wanted, but this is actually the most important deployment event that happens in orbit. We use that to kick off the deployment of both solar panels in orbit and make sure we can get kilowatts of power to all our compete. [00:10:42] S0: So I know this is a very new facility, but where does that get made? Like, where are all these components coming from? Is it vertically integrated? How do you think about engineering? [00:10:54] S3: We try to vertically integrate as much as possible. Obviously, we are not manufacturing the NVIDIA boards or other high level compute systems, but we integrate everything here and we manufactured our radiators. We put together the solar panels. So a lot of the cooling system is being built internally here. So which is kind of our secret sauce, if you will, another HDRM filing. And, yeah, we try to integrate as much as possible in house. [00:11:27] S0: What's been the biggest technical challenge coming over to Starcloud?
00:11:27 · Molly O'Shea, Adi Oltean
[00:11:27] S0: What's been the biggest technical challenge coming over to Starcloud? [00:11:33] S3: I think the cooling system and the radiators are the... By far the largest technical challenge, and I think we are very proud of what we did and and how it works and how compact the whole thing is. It's mostly focused on engineering, costs rather than is this possible or not. We know it's possible, but the question is how do you make it super cheap and how you make it manufacturable at scale? [00:11:55] S0: Yeah. I mean, that's a big point. I was interviewing Sean McGuire and he was talking about data centers in space, and he was like, I did the math on it, and it makes sense. The math, maths. And so a large component of that is energy transfer and, like, how much energy is used on Earth for Earth data centers versus in space. And so in space, this is gonna be a little bit of a different environment. It is very, very cold, but you still need radiators. You need cooling, all that kind of stuff. So could you explain that out a little bit more?
00:11:55 · Molly O'Shea, Adi Oltean
[00:11:55] S0: Yeah. I mean, that's a big point. I was interviewing Sean McGuire and he was talking about data centers in space, and he was like, I did the math on it, and it makes sense. The math, maths. And so a large component of that is energy transfer and, like, how much energy is used on Earth for Earth data centers versus in space. And so in space, this is gonna be a little bit of a different environment. It is very, very cold, but you still need radiators. You need cooling, all that kind of stuff. So could you explain that out a little bit more? [00:12:25] S3: Well, it's basically the engineering math is hard, but economic math is the one that truly matters in orbit. So you... What you want to dissipate every single watt you're receiving from the sun. So that that is the hard part. How you make it very efficiently? How do you essentially emulate a cooling system that mimics the one in data centers today on on Earth? As probably people know, 2025 was the year of liquid cooling in all the data centers. So people have to switch to liquid cooling because that's the only way to achieve the incredible densities of compute in next range of data centers. And we are capitalizing on that and using the same thing, the same technology in space as well. [00:13:11] S0: Mhmm. For those who don't know about the Fermi Explorer mission, can you explain that and why it's significant for you?
00:13:11 · Molly O'Shea, Philip Johnston
[00:13:11] S0: Mhmm. For those who don't know about the Fermi Explorer mission, can you explain that and why it's significant for you? [00:13:17] S1: Yeah. So my cofounder, Adi Ezra, and I have created a nonprofit, with a few others, Camilo Lopez and others. We created a nonprofit to send the first spacecraft to the nearest star. So the nearest star system to us is Alpha Centauri. It's about four light years away, and we realized after doing Starcloud one that you can do things very cheaply. Like, for example, Starcloud one, we had a quote from one of the primes. They told us it would cost 75,000,000 to a $100,000,000 to do Starcloud one. We did it for about $2,500,000. No way. So we realized you can do things very cheaply, and we [00:13:50] S0: You just found put things in space?