Starcloud raises $170 million to build AI data centers in space, reaching unicorn status

Reviewed byNidhi Govil

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Starcloud has raised $170 million at a $1.1 billion valuation to build orbital data centers powered by solar energy. The startup already launched the first Nvidia H100 chip in space and demonstrated AI model training in orbit. But the business model depends on unproven technology and SpaceX's Starship rocket, which isn't flying commercially yet.

Starcloud Reaches Unicorn Status with $170 Million Series A

Starcloud has secured $170 million in Series A funding at a $1.1 billion valuation, making it the fastest Y Combinator graduate to reach unicorn status—just 17 months after its demo day presentation

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. The Series A round was led by Benchmark and EQT Ventures, with participation from Macquarie Capital, NFX, Nebular, Y Combinator, and others

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. This brings Starcloud's total funding to $200 million, including an earlier $34 million raise from investors like Andreessen Horowitz and In-Q-Tel, the CIA's venture capital arm

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Source: Observer

Source: Observer

The Redmond, Washington-based company is building AI data centers in low Earth orbit to address the mounting terrestrial energy demands and land constraints facing the AI industry. CEO Philip Johnston told Reuters that "the main customer contracts that are committed are for other spacecraft, particularly Earth Observation and DOW satellites," while the company is also working on binding energy offtake agreements with hyperscalers to be announced soon

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First to Deploy Nvidia H100 in Orbit

Starcloud launched its first satellite in November 2025, becoming the first company to deploy an Nvidia H100 GPU in space

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. The 130-pound satellite successfully demonstrated AI model training in orbit, an industry first, and ran a version of Google's Gemini

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. Johnston acknowledged that "an H100 is probably not the best chip for space, to be honest, but the reason we did it is we wanted to prove that we could run state of the art terrestrial chips in space"

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Source: GeekWire

Source: GeekWire

The satellite currently analyzes data collected by Capella Space's radar spacecraft, demonstrating one of Starcloud's two business models: selling processing power to other spacecraft on orbit

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. Starcloud-2, scheduled for launch in October 2026, will feature 100 times the power generation capacity of its predecessor and include Nvidia's Blackwell B200 chip, an AWS server blade, and even a bitcoin mining computer

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. The satellite will also feature the largest deployable radiator flown on a private satellite to address cooling challenges

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Space Based Computing Depends on Starship Economics

The long-term viability of orbital data centers hinges on dramatically reduced launch costs. Starcloud is developing Starcloud-3, a 200-kilowatt, three-ton spacecraft designed to launch from SpaceX's Starship rocket using the "pez dispenser" system built for Starlink satellites

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. Johnston expects this will be the first orbital data center cost-competitive with terrestrial facilities, achieving approximately $0.05 per kilowatt-hour—if commercial launch costs reach around $500 per kilogram

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Source: SiliconANGLE

Source: SiliconANGLE

The problem is timing. Johnston anticipates commercial access to Starship won't open until 2028 or 2029, and the rocket isn't flying yet

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. "We're not going to be competitive on energy costs until Starship is flying frequently," he told TechCrunch, adding that if delayed, the company will continue launching smaller versions on Falcon 9

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. This reality faces all major space data center projects: powerful space computers will remain cost-prohibitive until a new generation of rockets launches at high operational cadence, which might not happen until the 2030s

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Technical Challenges and High-Performance Computing Workloads

Running high-performance computing workloads in space presents formidable technical obstacles. Nvidia CEO Jensen Huang cautioned that operating AI in a vacuum poses challenges that will "take years" to solve, noting that cooling requires radiation instead of conduction or convection, demanding very large surfaces

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. Starcloud has already experienced these difficulties firsthand—an Nvidia A6000 GPU failed during launch

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Synchronization presents another hurdle. The largest datacenter workloads for AI model training in orbit require hundreds or thousands of GPUs working in tandem, which will demand either massive spacecraft or powerful laser links between satellites flying in formation

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. Most companies expect these workloads to come long after simpler inference tasks operate on orbit. Johnston expects less than 1% of new compute capacity to be in orbit within three to five years, but projects a tipping point about a decade out when satellite data centers "will be by far the fastest growing segment"

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Competition Intensifies as Elon Musk and Others Enter

Starcloud faces growing competition in the orbital data center market. In February, Elon Musk's SpaceX acquired his AI startup xAI and revealed plans for a million-satellite orbital data center network

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. Jeff Bezos's Blue Origin has expressed similar ambitions

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. Other players include Aetherflux, led by Robinhood co-founder Baiju Bhatt, which is reportedly in discussions to raise as much as $300 million at a $2 billion valuation

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. Aethero launched Nvidia's first space-based Jetson GPU in 2025, while Google's Project Suncatcher is also developing the technology

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Johnston maintains Starcloud has a significant advantage. "We have a huge edge by being first," he said. "We've got the best team in the world for this. We're moving incredibly quickly. We're two years ahead in terms of having any kind of data and telemetry from how these chips perform on orbit"

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. The company is already working with partners including Nvidia and the cloud units of Amazon and Google

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Solar Power in Orbit Versus Terrestrial Constraints

The investment surge reflects growing concerns about terrestrial energy demands for AI infrastructure. Data centers with more than 25 gigawatts of power are currently under construction in the U.S., according to Cushman and Wakefield

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. By comparison, SpaceX's Starlink network—the largest satellite constellation with 10,000 spacecraft—produces around 200 megawatts

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. The number of advanced GPUs on orbit is numbered in the dozens, while Nvidia sold nearly 4 million to terrestrial hyperscalers in 2025

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Chetan Puttagunta, a partner at Benchmark joining Starcloud's board, said an acute shortage of energy on Earth to power AI computing demands demonstrates a "pretty big market need for new ways to approach the problem"

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. Johnston emphasized that "by moving AI compute to space, we unlock access to unlimited solar power and completely remove the energy bottleneck"

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. Terrestrial data centers also face growing "not in my backyard" opposition from communities concerned about electricity rates and water consumption

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. Starcloud has long-term plans for an 88,000-satellite data center constellation

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