SUMMARYAstrolab’s FLIP lunar rover is scheduled to launch as early as November 2026 with a high-performance HPE computer designed to run large language models on the moon for the first time. The system will test whether AI can help with navigation and onboard analysis in the harsh lunar environment, including near the south pole, where temperatures and radiation are extreme. The mission builds on HPE’s earlier Spaceborne computers tested on the International Space Station.
Large language models are set to go lunar. A computer capable of running AI software is one of the payloads aboard Astrolab’s FLIP lunar rover, which is slated to head to Earth’s celestial companion as early as November 2026.
The 480-kilogram FLIP rover, short for “FLEX Lunar Innovation Platform,” is the first in a series of vehicles NASA has contracted from Astrolab, including future buggies that will move Artemis astronauts across the moon’s surface. Fitted with deformable wheels engineered for the rugged terrain and designed to survive at least 150 hours of the frigid lunar night, FLIP will carry 20 scientific payloads, including a lidar 3D mapper and a sensor to measure concentrations of the isotope helium-3 in lunar regolith.
The rover will also carry a high-performance computer made by HPE that will be the first to run LLMs on the moon’s surface. Such software could ultimately help enable greater autonomy and real-time intelligent decision-making in space on future missions, eliminating the time delays and limited bandwidth that often plague long-distance communications between ground control on Earth and robots elsewhere in the solar system.
“The time delay, for example, on Mars can be up to 20 minutes,” Mark Fernandez, the chief scientist and principal investigator at HPE, said during a press conference introducing the project. “On the moon it’s reduced, but still, you are looking at stale data. In fact, the Soviets lost two rovers in the past because of operator errors caused by the time delay.”
During FLIP’s mission, specialized custom-built LLMs will run a series of experiments to prove that the technology can operate reliably in the extreme environment of the moon. They will analyze data from the onboard cameras and the lidar mapper to aid with safe navigation in the lunar terrain and distill insights it gleans from the gathered data, reducing the amount of information the rover needs to transmit back home.
Surviving the extreme
China’s Chang’e-6 rover, which landed on the far side of the moon in 2024, used basic AI algorithms and neural networks for autonomous navigation. Similarly, NASA’s Mars rovers Curiosity and Perseverance have been driving semiautonomously using pre-programmed paths for years, but the space-hardened computer brains these rovers rely on are remarkably weak, comparable to late 1990s laptops. FLIP’s HPE Spaceborne-4 edge computer, on the other hand, consists of a high-performance 64-bit CPU combined with a GPU that can run large numbers of computational tasks in parallel, just like advanced edge computers on Earth.
HPE has previously sent three Spaceborne computers to the International Space Station to test the technology in the milder and more controlled environment of low Earth orbit. The Spaceborne-2 and Spaceborne-3 computers, launched in 2021 and 2024, respectively, ran Meta’s Llama 3.2 LLM aboard the ISS as part of the “Space Llama” initiative in 2025, helping astronauts to streamline research tasks and speed up crew’s decision-making.
“As humans we have our physical limitations, especially in environments like space,” Francisco Cordova, the chief operating officer for the International Space Station (ISS) National Laboratory, said during the press conference. “As we venture further and further out into space, I believe that we’re going to rely more on AI for space exploration, for making smarter and better decisions, but more importantly, working in those environments where humans simply cannot.”
Instead of spending years going through the standard process of creating specialized space-hardened hardware, HPE used software that monitors the system and detects upsets caused by charged cosmic particles. When radiation spikes, the software can lower the computer’s power and speed to reduce risk to the electronics, ensuring that the system remains reliable for extensive periods of time.
“In space, we don’t have the redundancy, we don’t have the repairman, we don’t have the spare parts,” Fernandez said, “so we spent a lot of time, a lot of CPU cycles, checking everything out and making sure that everything is working out right.”
Contrary to initial expectations, the computers each successfully completed a run of more than two years on the ISS. With the moon, however, HPE has signed up for an entirely new level of challenge. “The ISS is an extreme environment, but it’s relatively controlled in comparison to what we’re going to get on the moon,” Cordova said.
Inside the space station, the Spaceborne computers operate in relative comfort. While temperatures aboard the ISS hover around 20 °C, FLIP will land near the lunar south pole, where temperatures can swing between scorching 80 °C in sunlit areas and frigid -200 °C in shaded regions, which FLIP will search for the presence of water ice. The cosmic radiation lashing the moon’s surface is almost three times as intense as that inside the shielded space station, which also benefits from the protection of Earth’s magnetic field.
Yet FLIP’s Spaceborne-4 computer remains remarkably simple. It features the same software-protected architecture and uses the rover’s radiators to shed excess heat. “Our expectation is that the computer is going to last for the life of the mission,” said Scott Wiest, HPE’s chief technology officer, of the rover’s planned 10 days on the moon.
Roser Almenar, an AI and space law researcher at the University of Valencia in Spain, said that LLMs have “an enormous potential, in particular for future missions to Mars and beyond, where communication delays will make it increasingly difficult to rely on immediate assistance from Earth.” But she notes it’s still early days. “These systems can produce inaccurate or misleading information,” she says, “and in space, even a seemingly small error can have serious consequences.”