AI companies have announced roughly 96 gigawatts of data center capacity. About 15 gigawatts run today. Mach33 tracks the gap facility by facility: ~240 sites and 65 supply deals, each project discounted by how likely it is to get built, against a price tape that turned in early 2026 and now sits ~40% above its October 2025 low. Six buyers have signed build programs that together exceed the entire installed base operating today.

The sharpest technical objection to SpaceX's orbital AI plan is not power or heat. It is that modern AI models are designed to run across hundreds of interconnected chips... so we model how a typical 72 GPU NVDA rack would perform as a node in comparison. Forcing a frontier model into one satellite forgoes up to 44% of achievable output. The penalty is real but not permanent, better software, slimmer models, and models designed to fit the satellite could reduce it to near parity over time.

The sharpest technical objection to SpaceX's orbital AI plan is not power or heat. It is that modern AI models are designed to run across hundreds of interconnected chips... so we model how a typical 72 GPU NVDA rack would perform as a node in comparison. Forcing a frontier model into one satellite forgoes up to 44% of achievable output. The penalty is real but not permanent, better software, slimmer models, and models designed to fit the satellite could reduce it to near parity over time.

SpaceXAi's S-1 names Terafab, its partners, and the terawatt compute ambition, but avoids the cost question. The press has filled the void with figures of $55B, $119B and, at the top end, $5T; none of which come from SpaceXAi. We built the bottom-up model the filing leaves out, and the bottlenecks we found look different from the ones the press keeps chasing.