Starcloud trains the first AI model in space

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Training the first AI model in space opens up new directions and could become an energy solution in the future.

A new race outside the track

A little-known startup called Starcloud is attracting the attention of the technology world when it announced that it has successfully trained the first AI model in space.

This achievement is not only symbolic but can also open a new era, where data centers are no longer dependent on the ground, which is under great pressure on energy, water and emissions.

The Starcloud-1 satellite was launched into low-altitude Earth orbit last month, carrying the Nvidia H100 GPU, a chip line specializing in AI.

On this platform, Starcloud refines Gemma, Google's open source code model, while integrating remote metering data so that the model can respond to information in real time.

Underground users can even ask the satellite: Where are you? and receive a chatbot response like: Im in the sky of Africa, Ill be in the Middle East in 20 minutes.

Not stopping there, Starcloud also experimented with NanoGPT training, a model developed by renowned artificial intelligence expert Andrej Karpathy on all of expressed expressed.

These studies aim to demonstrate that space can be a suitable environment for large-scale AI operation and training.

Traditional data centers are consuming huge amounts of energy. The IEA forecasts that their electricity demand could double by 2026.

Although renewable energy is a priority, dependence on weather, limited electricity storage and operating costs make the goal of "net zero emissions" of many companies almost distant.

Google and Microsoft have considered purchasing electricity from nuclear power plants, but it will take many years for these plants to operate.

Meanwhile, an orbit data center can exploit solar energy continuously, without the influence of day or night or weather.

Starcloud CEO Philip Johnston said the cost of energy could be up to 10 times less than on-duty data centers.

The signal transmission in space is also 35% faster than in fiber optic cables, giving them the advantage in speed.

Although Starcloud was founded in 2024, it has been backed by Nvidia, Sequoia and Andreessen Horowitz.

The company plans to build a 5GW rotation data center, which requires nearly 100 SpaceX rocket launches.

Many other giants are also participating such as Google with the Suncatcher project, Lonestar testing a mini data center on the Moon, Aetherflux planning to launch a data center in 2027. Sam altman is even said to be negotiating to buy a missile company.

The challenge is still huge

Despite the wide outlook, space data centers face many risks such as ionized radiation, space debris, operating costs and difficulties in upgrading hardware.

Starcloud admits that the GPU life may only be about 5 years. ISRO also warned of the need for deeper research on radiation-resistant technology and security.

The future of off-orbit data centers depends largely on the explosive speed of AI. But clearly, Starcloud has shown that what was once science fiction-only is now becoming a viable option.

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