Starcloud Successfully Operates First AI Model in Space With Nvidia GPU

TLDR

• Washington-based Starcloud successfully operated Google’s Gemma AI model in space using an Nvidia H100 GPU in November 2025
• The satellite chip is 100 times more powerful than any previous GPU sent to orbit and also trained NanoGPT on Shakespeare’s works
• Company aims to build 5-gigawatt orbital data center using constant solar power to address Earth’s growing energy demands
• Next satellite launch scheduled for October 2026 will feature multiple H100 chips and Nvidia’s Blackwell platform
• Competitors including Google, Lonestar Data Holdings, and Aetherflux have announced similar space data center initiatives

A Washington-based startup has achieved a first in artificial intelligence by training and operating an AI model in space. Starcloud launched its satellite in early November 2025 with an Nvidia H100 graphics processing unit onboard.

The Starcloud-1 satellite is now running Google’s Gemma large language model in orbit. This represents the first time such a model has operated on a high-powered GPU beyond Earth’s atmosphere.

Starcloud CEO Philip Johnston said the achievement proves space can support data center operations. The company trained NanoGPT, created by OpenAI founding member Andrej Karpathy, using Shakespeare’s complete works on the orbital chip.

Addressing Data Center Energy Crisis

Data centers on Earth consume massive amounts of energy and water while producing greenhouse gas emissions. The International Energy Agency projects data center electricity consumption will more than double by 2030.

Johnston said Starcloud’s orbital facilities will have energy costs 10 times lower than Earth-based data centers. The company plans to build a 5-gigawatt orbital data center with solar panels measuring approximately 4 kilometers in width and height.

The satellites will have a five-year operational lifespan based on the Nvidia chips’ expected lifetime. Starcloud is a member of the Nvidia Inception program and graduated from Y Combinator and Google for Startups Cloud AI Accelerator.

Real-World Applications and Future Plans

Starcloud is developing customer applications using satellite imagery from Capella Space. The system could identify lifeboats from capsized vessels at sea and detect wildfires the moment they start.

Johnston said these capabilities would enable real-time intelligence for first responders. The company integrated the satellite’s telemetry to provide information about altitude, orientation, location, and speed.

The next Starcloud launch is scheduled for October 2026. It will include multiple Nvidia H100 chips and integrate Nvidia’s Blackwell platform for enhanced AI performance.

Growing Competition in Space Data Centers

Several companies have announced plans for orbital data centers. Google revealed Project Suncatcher on November 4, aiming to deploy solar-powered satellites with tensor processing units.

Lonestar Data Holdings is developing a commercial lunar data center for the moon’s surface. Aetherflux announced plans to launch an orbital data center satellite in the first quarter of 2027.

Morgan Stanley analysts identified potential challenges including radiation exposure, maintenance difficulties, space debris, and data governance regulations. Tech companies continue pursuing the technology for access to unlimited solar power and expanded operations.

The October 2026 Starcloud satellite will feature a cloud platform module from Crusoe, enabling customers to deploy and operate AI workloads directly from space.

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