Beijing wants to put a gigawatt of computing in orbit by 2035. The physics is hard. The economics is harder. The credit lines say they're going anyway.
Orbital Chenguang, a Beijing-based startup incubated inside the city's Zhongguancun Science Park, announced April 20 it has secured 57.7 billion yuan (roughly $8.4 billion) in strategic credit lines from twelve Chinese state banks, including the Bank of China, Agricultural Bank of China, and CITIC Bank. The equity round, led by Haisong Capital and CITIC Construction Investment Capital among others, was disclosed but not priced. What makes this worth noticing isn't the dollar figure. It's what the institutional structure says about Beijing's intent: this isn't a startup running a pitch. It's a commercial node inside a state-backed industrial program.
Zhang Shancong, who sits as both chief scientist at Orbital Chenguang and director of the Beijing Astro-future Institute of Space Technology, laid out the logic last November. "Large-scale data centers have expanded rapidly worldwide," he told China Daily, "but further growth faces major obstacles, including heavy land use, soaring energy consumption and limits on atmospheric cooling." The pitch is straightforward: in Sun-synchronous dawn-dusk orbit, 700 to 800 kilometers up, solar panels produce roughly five to seven times more power than the same panels on the ground. The ambient temperature of deep space is minus 270 Celsius. Passive radiative cooling, in theory, handles the heat rejection that ground-based data centers burn water and electricity to solve.
The roadmap splits into two phases. Between 2025 and 2027, the company targets a first computing constellation launch, tackling core thermal and transmission challenges. Between 2028 and 2030, it wants to integrate ground-based data processing with orbital compute. The goal is a constellation exceeding one gigawatt of power capacity by 2035. That scale implies thousands of satellites, depending on individual bus power output.
There's a gap between plan and hardware. Chenguang-1, the experimental satellite, was supposed to launch in late 2025 or early 2026. As of this month, it has not appeared in public launch records. Meanwhile, a number of undisclosed satellites were lost on the debut flights of the Ceres-2 and Tianlong-3 rockets this year. This is not unusual for early-stage commercial payloads on new launch vehicles. It is worth noting when the pitch depends on reaching orbit cheaply.
CASC, China's main state space contractor, published its own five-year plan in December citing alignment with the 15th Five-Year Plan. It proposed gigawatt-class space-based computing infrastructure with an integrated cloud-edge-terminal architecture. The language is careful: "proposed," "aligned with." But the signal is not ambiguous. Orbital Chenguang is one commercial actor in a program that has ministerial backing. The Beijing Astro-future Institute leads a consortium of 24 organizations across the industrial chain.
This is happening inside a global race. SpaceX has said it plans solar-powered orbital AI data centers within two to three years, with Elon Musk telling the World Economic Forum in Davos that "the lowest-cost place to put AI will be space." Google has Project Suncatcher. A company called Starcloud recently put an Nvidia H100 GPU on orbit and ran Gemma in space, Google's open-weight model that runs on commodity hardware. None of these are delusions, exactly. None of them are close to proven at commercial scale either.
The engineering problem is real and it is thermal. Silicon processors have safe operating temperatures. In vacuum, heat cannot be conducted or convected away. Only radiated. That requires large radiator surfaces, which add mass, which increase launch cost. Andrew McCalip, an engineer who built a widely referenced economic model for orbital data centers, puts the levelized cost of energy from a gigawatt orbital installation at roughly $891 per megawatt-hour. His comparable terrestrial installation comes in around $398 per megawatt-hour. You are paying more than double for the privilege of being above the weather. The argument only works if land use, permitting, water rights, and grid constraints make ground-based expansion genuinely difficult. In certain markets, it increasingly does.
The launch cost question is the crux. McCalip's model requires Starship or an equivalent vehicle operating below $1,000 per kilogram to orbit. SpaceX's Falcon 9 charges roughly $2,700 to $3,600 per kilogram for commercial payload. Starship has not yet demonstrated rapid reusability. China's launch fleet is improving (93 launches last year) but does not have an equivalent reusable heavy-lift vehicle. If you're building thousands of satellites and launching them on expendable rockets, the arithmetic changes fast.
The credit lines themselves are not cash in hand. "Strategic credit lines" typically represent potential financing, contingent on terms, milestones, and continued political support. The fact that twelve state banks extended them is a signal of institutional alignment, not a bank statement. The Pre-A1 round amount was not disclosed. The gap between announced ambition and verified hardware is, for now, large.
What Orbital Chenguang does have is structure. State incubation, ministerial backing, a consortium of 24 companies, a named roadmap, and access to state capital. Whether that is sufficient to bridge the thermal and economic gaps is the real question. Not for the investors who just placed their bet. For everyone watching to see whether orbital compute is infrastructure or spectacle.
The satellite hasn't launched yet. The thermal math is unfavorable. And $8.4 billion in credit lines is not the same as $8.4 billion in servers.