SpaceX's push into AI compute infrastructure

The most striking feature of SpaceX's compute business is who is paying for it. Anthropic, a direct competitor of Musk's own xAI, has agreed to lease the entire ~300 megawatts of the Colossus 1 data center for roughly $1.25 billion per month through May 2029 ^[2]. Google, another AI rival, committed $920 million per month from October 2026 through June 2029 for about 110,000 Nvidia GPUs ^[3]. The latest entrant, the Nvidia-backed open-source lab Reflection AI, signed on for up to $6.3 billion, paying $150 million per month for GB300 access at Colossus 2 ^[1].

The irony runs deeper than competitors writing checks to Musk. Reflection is itself backed by Nvidia, which invested in the lab; Reflection then rents GB300 chips that SpaceX bought from Nvidia — a tight circular loop that analysts and YouTube commentators have flagged as the defining financial pattern of this AI buildout. On X, the reaction to the Reflection deal was broadly bullish, with the VanEck analyst framing Reflection as America's open-source answer to DeepSeek and several voices dissecting the Nvidia financing circularity rather than the rocketry. The takeaway: SpaceX has positioned itself as neutral infrastructure that even its fiercest model-layer rivals depend on.

The scale of the leasing business now rivals SpaceX's core launch revenue. Stacked together, the three disclosed contracts represent enormous recurring monthly cash flows: Anthropic at roughly $1.25 billion per month ^[2], Google at $920 million per month ^[3], and Reflection at $150 million per month toward a $6.3 billion total ^[1]. The underlying asset is dense — Colossus houses on the order of 555,000 Nvidia GPUs across about 2 gigawatts.

The trajectory is what makes this a structural shift rather than a side business. One Evercore ISI projection cited in analysis of SpaceX's pivot sees AI reaching 74% of company revenue by 2031, with space revenue shrinking to roughly 1% ^[8]. That would invert the identity of a company still best known for reusable rockets. The terrestrial leasing book, not the speculative orbital vision, is what could make AI compute SpaceX's largest revenue driver as soon as next year.

SpaceX did not set out to be a compute landlord — it backed into the role. Reporting on the Anthropic arrangement indicates SpaceX rented out Colossus 1 partly because it could not make the Memphis site work for its own Grok and xAI models, hitting latency issues connecting the campus to two other sites more than ten miles away ^[4]. Rather than leave expensive GPUs underused, SpaceX converted inherited capacity from the xAI merger into a commercial, cloud-style platform with recurring monthly leases ^[1].

This origin story reframes the headline deals. What looks like a bold strategic land grab is, at the asset level, monetization of surplus and partly stranded capacity. That has implications for durability: a business built on reselling capacity the owner couldn't fully use itself is a strong cash engine, but it is a different proposition than purpose-built, vertically integrated AI infrastructure.

The Starmind vision — up to one million solar-powered AI satellites, each operating as an in-orbit server rather than a relay, with two AI1 prototypes targeted for early 2027 ^[6]— splits experts sharply. Optimists at satellite-industry firms call it feasible: one CEO framed it as "the opportunity of the century," and another argued the engineering is "a known known" gated only by time and capital ^[5]. The bull case rests on continuous solar power and vacuum radiator cooling that sidesteps Earth's water and grid constraints ^[7].

Reddit, even within pro-SpaceX communities, is far more cynical, and its objections sharpen the skeptics' case. The most-discussed thread argues a single AI1 satellite is essentially one ~120-150 kW GPU rack rather than a data center, implying roughly 6,700 satellites per gigawatt; that vacuum thermal limits force radiators on the order of a tennis court per rack; and that GPUs going obsolete every few years would mean rebuilding and relaunching the entire fleet each chip cycle. That maps directly onto the strongest expert critique: one security analyst notes Nvidia interconnects a single GPU at about 7.2 terabits per second, one to two orders of magnitude beyond what space links can provide ^[5]. The split is clean — terrestrial leasing is a present-tense business, while orbital compute remains a physics-and-economics argument.

Beneath the eye-catching totals sit terms that make the revenue less certain than it looks. Either party can terminate the Reflection contract on 90 days' notice after the first three months ^[1], a clause that turns a headline $6.3 billion figure into a stream that can be switched off quickly. With a handful of large customers concentrated on a few campuses, that flexibility creates real revenue-volatility risk.

There are also questions about whether stated capacity matches reality: reporting noted that Colossus 2 came online but that satellite imagery suggested cooling capable of around 350 MW rather than the claimed gigawatt scale ^[1]. The skeptical read surfaced on r/wallstreetbets captured the market's ambivalence — the Reflection deal was framed as SpaceX reselling underused capacity, with commenters pointing to the cancellation clause and noting the stock barely moved. For a company leaning on these contracts in its IPO narrative, the gap between announced commitments and cancellable, possibly overstated capacity is the quiet risk.