Nvidia-backed startup Starcloud will put Bitcoin mining ASICs on its second satellite when it reaches orbit later this year, marking the first attempt to validate blocks from space. Chief executive Philip Johnston told Documenting Bitcoin the company intends to be the first to mine the cryptocurrency outside the atmosphere, a claim that arrives alongside a mission profile that until now emphasized AI compute rather than proof-of-work.
The pivot appears in an interview not a filing
Starcloud was founded in 2024 with a white paper arguing that falling launch costs make orbital data centers viable for AI training, citing continuous solar power and radiative cooling as advantages over terrestrial sites constrained by permitting. The official Starcloud-2 project page describes a GPU cluster for commercial workloads and makes no mention of ASICs or Bitcoin. Johnston’s disclosure came in a recent interview segment, not in a regulatory filing or technical specification, leaving the mining payload unconfirmed by any independent source.
ASIC economics drive the side mission
Johnston framed the addition as a financial decision. He told the host that ASICs cost roughly thirty times less per kilowatt than GPUs, citing a 1 kW Nvidia B200 at thirty thousand dollars versus a comparable ASIC at one thousand dollars. At the time of the interview Bitcoin traded around eighty-six thousand dollars, well below its peak several months earlier. Johnston said solving the energy supply for either chip type in space is not the bottleneck for the business, a remark that puts the startup’s primary backer in an awkward position.
Orbital constraints remain untested at scale
The company acknowledges that satellites cannot be serviced once deployed and that convection cooling does not function in a vacuum. Starcloud-2 is the second of four planned launches and the first designated as commercial. The spacecraft is bound for a sun-synchronous orbit, not low Earth orbit. Commercial space-based data centers are new enough that the full set of thermal and reliability problems will only become clear after pioneering deployments like this one.