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Gavin on SpaceX’s compute ambitions: “A Substack writer, FUNDA, thinks that SpaceX is going to bring on eight gigawatts of compute over the next 18 months. I will never bet against Elon. But I mean, that would be a truly incredible feat. And rates have gone up since they...

60,259 views • 19 hours ago •via X (Twitter)

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A single gigawatt of orbital compute requires roughly 200 Starship launches and Elon Musk is not satisfied with gigawatts (Save this). The target is 100 gigawatts of orbital compute per year which means SpaceX is staring down a launch requirement that no organization in human history has ever attempted at anything close to that scale. He acknowledges that scaling to gigawatts per year in orbit is a very hard challenge, but then points to something most people have missed entirely, SpaceX has already demonstrated the foundational capability, because building and launching thousands of Starlink satellites per year is the same industrial problem applied to a different payload. When you understand the orbital compute satellite as a larger version of Starlink V3 with an Nvidia GPU rack at the center instead of a communications payload, the manufacturing and launch scaling challenge stops looking like science fiction and starts looking like a production ramp. The infrastructure to support that ramp is already being built. SpaceX is currently capacitizing for thousands of launches per year, two launch towers and pads in South Texas are operational, the first pad at Cape Canaveral is nearly complete, a second is on the way at Launch Complex 37, and additional locations are already in discussion. As the CFO says it "You need to have those cost curves as you ramp up in volume and time, your costs go down." The vision he describes for what this eventually enables is striking in its specificity. He imagines asking Grok a question on his phone, the inference running on an orbital compute satellite, and the answer coming back down through Starlink direct-to-cell, a complete AI query processed entirely in space, from prompt to response, without touching a single terrestrial data center. That moment, he says, is closer than the industry thinks, with initial capability demonstrations possible as soon as next year. The bottleneck that stands between now and that moment is not the satellite design, the cooling physics, or the silicon, all of which SpaceX has already worked through.

Milk Road AI

67,791 views • 1 month ago

SpaceX is about to shatter the largest IPO record in history. Not by a little. By more than double. The previous record was $29 billion. SpaceX is targeting $75 billion. Two months ago the number was $50 billion. Last week it was $70 billion. Now $75 billion. The filing has not even happened yet. Every time the market recalculates what SpaceX actually is, the answer gets bigger. Goldman Sachs. JPMorgan. Bank of America. Morgan Stanley. All lined up as underwriters. Target date: mid-June 2026. Target valuation: $1.75 trillion. That would make SpaceX larger than Meta. Larger than Tesla. Larger than every company on Earth except five. This is not some startup bleeding cash and calling it strategy. SpaceX made $8 billion in profit last year on $16 billion in revenue. They do not need the money. They are raising it because what comes next costs more than profit can fund at the speed they intend to move. Musk: “There just is no way to do a terawatt per year on Earth.” He ran the math on stage with Jensen Huang. Three hundred gigawatts of AI compute per year would consume two-thirds of all US electricity production. Not total energy. Just electricity. And three hundred gigawatts is not even the target. A terawatt is. More than three times that. Building enough power plants is not difficult. It is not expensive. It is physically impossible. Musk: “You have to do that in space.” Not should. Not could. Have to. Earth does not have the power. Cannot build it fast enough. Cannot cool the hardware. Not within a decade. Not at all. The bottleneck is not silicon. Not software. Not data. It is the planet itself. Musk: “You don’t actually need batteries because it’s always sunny in space. And the solar panels become cheaper because you don’t need glass or framing. And the cooling is just radiative.” No batteries. No night cycle. No weather. Just uninterrupted solar hitting bare panels in a vacuum. Heat dissipates on its own. Huang: “Each one of these GB300 racks is two tons. 1.95 of it is probably for cooling.” Ninety-seven percent of the weight of a supercomputer rack exists to keep it from overheating. Move it to space and that weight vanishes. The machine shrinks to something small enough to launch by the thousands. Running on free energy. Cooled by nothing. Musk: “I think even perhaps in the four or five year time frame, the lowest cost way to do AI compute will be with solar-powered AI satellites.” Not fifty years. Not twenty. Five. The cheapest AI compute on Earth will not be on Earth. It will be in orbit. And only one company can put it there at the cost and cadence required. That is what the market is pricing. Not a rocket company. The only organization on Earth capable of moving intelligence infrastructure off of it. Huang heard the pitch. The math. The timeline. Huang: “That’s the dream.” Musk: “Yes.” A trillion watts of compute. Powered by the Sun. Cooled by space. Launched by SpaceX. Every company building AI on the ground is building under the same ceiling. The atmosphere.

Dustin

44,710 views • 4 months ago

“There's nobody better on planet Earth than Elon at converting electrons to tokens. He was building EWS all along.” - Brad Gerstner on how becoming a hyperscaler impacts SpaceX’s outlook Brad Gerstner on Elon Musk's cloud strategy: “It's a critically important evolution to the story. SpaceX has this five-layer cake: launch, connectivity, compute, hyperscalers, space datacenters, and then applications and models, and then other bets. And now we see the ace card that Elon's playing. He was building EWS all along, and so I estimate that this is going to generate, in this year, an incremental $4 to $5B of revenue on top of what analysts estimate is in the mid-20s. That's a material amount of incremental revenue to offset the cost of the investments that he's made here, and that will subsidize, to Chamath's point, all that he's investing to build the next generation of Grok. Remember, too, that he has three facilities, Colossus, Macro Hard, and Macro Harder. 1.2 gigawatts in Macro Hard and Macro Harder in Blackwell. So he's given the one that's kind of less connected, H100's great for inference, to Anthropic. He's monetizing it in a big way. It's terrific for Anthropic, and it solves what I think was the biggest question in the valuation story, which is what if he spends ahead of xAI's revenue? It takes the pressure off xAI delivering immediate revenue. Now he becomes an immediate competitor in the hyperscalers. I don't think this is the last announcement. And I would just say finally, everybody has talked about how we don't have enough power, how we don't have enough compute, how the revenues would not show up this year, but the chaos that is American capitalism somehow finds a way.”

The All-In Podcast

62,278 views • 2 months ago