For the very first time Elon Musk explains the "space data center plan" of @SpaceX in detail and its AI1 orbital AI data center satellite - and suddenly it looks so much closer than I thought.

He says "There’s not some magic necessary that doesn’t exist for AI satellites. As Ian said this is a lot of this is technology we’ve already made for the… we basically don’t think this is a super hard problem compared to things that we already do."

📌 Power and compute capacity: - 150 kW peak power - ~120 kW sustained/average compute power - Roughly equivalent to one full NVIDIA GB300 (or upcoming Rubin) rack in a typical data-center operating envelope (~140 kW peak is possible but 120 kW average is more realistic for sustained workloads).

📌 Solar array: - Assumed efficiency: 250 W/m² (expected to improve beyond this). - Large, deployable solar panels (evolutions of the solar arrays already flying on Starlink V3 satellites).

📌 Radiators (thermal management): - Double-sided design, oriented “knife-edge” to the Sun to minimize solar heating. - Heat rejection: ~1,400 W/m² (expected to improve). - Radiator panels are roughly the same size/scale as the Starlink V3 solar arrays (~70 m wingspan class).

📌 Design philosophy: - Significantly simpler than a Starlink satellite — no massive phased-array antennas or complex communications hardware. - Core elements: solar panels + radiators + compute chips + laser links. - Larger overall than Starlink sats but described as “the easier one to design for.”

📌 Connectivity: - ~1 terabit/s via inter-satellite laser links. - Can mesh with the existing Starlink constellation or link directly to ground. - Low latency: satellites planned for ~600–800 km altitude → light-travel time yields only ~6–8 ms round-trip (light travels ~300 km per millisecond).

📌 Deployment and operations: - Launched by Starship (the only vehicle capable of the required millions-of-tons-to-orbit scale). - Part of a future large constellation (potentially up to ~1 million satellites). - Orbital data centers can be networked together or routed through Starlink for terrestrial users.

📌 Manufacturing and timeline: - Production in Bastrop, Texas. - Solar manufacturing facility already under construction. - Dedicated AI satellite production building to follow. - Reasonable-volume production targeted by end of next year (2027). - Initial chips will use existing NVIDIA GB300/Rubin designs with SpaceX reference hardware; future scaling via a new “Terra Fab” chip factory (~100 million sq ft, 10× the size of Tesla Giga Texas).

📌 Scalability notes: - Near-term goal: gigawatt-scale orbital AI compute. - Longer-term: terawatt-scale and beyond, eventually using lunar mass drivers (electromagnetic rail-gun style) to launch photovoltaics and radiators from the Moon (no atmosphere + 1/6 g makes this feasible). - Starship is expected to increase annual mass-to-orbit from today’s ~2,500 tons to millions of tons per year within a few years.

At Rackspace, before I was employed there, a truck hit our datacenter taking it down for a day (Rackspace was one of the big datacenter companies of the day about 15 years ago). Costing millions of dollars and taking down a good chunk of the Internet. (I was its main evangelist for seven years).

Today community after community is blocking datacenter building.

And even if we could build all the datacenters we want, getting the power for them, is a real problem.

Finally, how do you connect earth-bound datacenters to humans?

Fiber.

But anyone with a boat and anchor could dig those up, taking many services with it.

All these problems are solved by putting datacenters in space.

Putting datacenters overhead ensures we get the AI compute that we need.

And makes it far more resilient against nation-state meddling.

One last thing, these datacenters will be small compared to the ones here on earth, but would be spread around the earth.

SpaceX laid out the pattern, by putting 10,000 Starlink satellites up. These would hook up to Starlink via lasers, and would build a decentralized grid.

If one, or even 10, failed, everything would just route around the damage.

I once spent a lot of time in a Google datacenter. Surrounded by stacks and stacks of computers. Many of them were unplugged. "Why are they unplugged?"

"Oh, those are ones that no longer work, we just unplug them and leave them there until enough fail that we put in a new rack."

We want lots of startups building cool things, like robots to do lots of things? We need reliable datacenters to run them.

Bullish.

And, another Rackspace lesson: when it went IPO it went up, but then went down for months before heading back up again.

If you are investing in SpaceX (I'm not, I don't do IPOs, too risky for my risk profile, especially on such a highly valued stock) have a long term conviction, and stick in even if stock goes down, which is probably will.

I'll jump in on dips.

We are at the very beginning of putting these things in space. Eventually the exponents kick in and things will go back up. But might be a few years.

But I know plenty who have already invested, most of them are staying in because they see the long game. And I know others who are buying this week.

Either way, this IPO is gonna be quite something to watch.

Out of all the IPOs coming this year I'm most bullish on the long term.

And I'm most bullish on X, see many things it can do to improve its stance in the world, and it will make the "brains" of @Tesla_Optimus. Many people don't get that either. But in five years when you are talking to an Optimus you will be talking to Grok, from SpaceX.

So I see many reasons that SpaceX will see increases in business over the next decade and we haven't even talked about the government contracts that are coming that I keep hearing about from space entrepreneurs in San Francisco.

I wish my dad were alive to see this. He built military satellites for Lockheed Martin for decades. He'd flip out about what SpaceX is planning.

Elon Musk on the economics of space data centers.

In space, it's "always sunny", satellites get constant, high-intensity solar power with no night, clouds, or atmospheric loss, so solar arrays deliver near-continuous energy at virtually zero marginal cost.

Cooling is trivial: waste heat is simply radiated away into the vacuum of space (no fans, water, or energy needed, unlike power-hungry Earth data centers).

Combined with Starship’s cheap mass-to-orbit launches, this avoids building massive terrestrial power plants or fighting grid/land/cooling constraints.

Elon estimates that within 2–3 years, the lowest-cost way to generate AI compute will be in space.

Result: orbital racks of chips can scale to terawatts far more economically than on Earth.

Full video from @SpaceX

"Getting to 1% of the sun’s energy… that civilization is going to be vastly more powerful than us, to say the least.”