cluster

For years, talk of data centers in space sounded like the kind of idea that always seemed a few years away. The conversation existed, of course, but almost always supported by long-term plans, ambitious announcements and an industry that had not yet shown much real muscle in orbit. That is why what has just emerged deserves attention. TechCrunch explains that Kepler Communications has already launched the largest computing cluster currently operating in space, a sign that this race is beginning to leave the field of promise to enter, little by little, the field of infrastructure. What has Kepler put into orbit. It is not a large facility suspended above our heads, but rather a distributed cluster made up of 10 operational satellites. Together they add up to around 40 Nvidia Orin processors aimed at Edge Computingconnected to each other by laser links. That set, launched in January of this year, as we say, is today the largest active computing cluster in orbit. The company itself also frames this network as a constellation designed to move data in space almost in real time. What it really is. So we are not facing a massive orbital data center that replicates the Earth model, but rather a distributed architecture that combines connectivity and processing in the full space environment. This difference matters because it allows us to separate two plans that are often mixed: one thing is the large-scale vision defended by actors like SpaceX or Blue Origin, and quite another is this first step, much more attached to immediate uses and specific needs of missions in orbit. The immediate business. If this orbital computing is starting to be interesting, it is because it addresses a fairly clear problem: it does not always make sense to send all the data to Earth to process it later. The initial value of these systems is in working with the information right where it is generated, something especially useful for more advanced sensors and for applications that require a faster response. Kepler also maintains that its network can serve as a basis for future processing and connectivity services between different space assets, and the media adds that the company already transports and processes data uploaded from the ground, as well as information collected by payloads hosted on its own satellites. Sophia Space. Here a startup comes into the picture that wants to upload its proprietary operating system to one of the satellites in the constellation and try to deploy and configure it on six GPUs spread over two ships. In a terrestrial data center that would be almost routine, but it would be the first time we would see something like this in orbit. For Sophia, in addition, the test has a clear risk reduction value before its first launch scheduled for the end of 2027. And we are not talking about a minor detail: the company is developing space computers with passive cooling, a way with which it seeks to attack one of the big problems in this sector: avoiding overheating. Kepler doesn’t want to be that. In the midst of so much noise around orbital data centers, the company itself is trying to position itself in a somewhat different place on the map. Your corporate presentation insists in a mission much more linked to communications, with a hybrid optical constellation designed to modernize the flow of data in low orbit and beyond. In this sense, it does not define itself as a data center company, but as infrastructure for space applications. The journey has begun. If this step by Kepler makes anything clear, it is that orbital computing no longer belongs only to the realm of great presentations. SpaceX wants to deploy a massive network of satellites for AI, Google prepares in-orbit tests with solar-powered chips and Blue Origin has announced a constellation of more than 5,000 satellites. In parallel, starcloud already launched a satellite in 2025 with an Nvidia H100 GPU and Aetherflux targets 2027 for its first node. Images | Kepler Communications | Sophia Space In Xataka | The mystery of the misinflated balloon: the more we calculate the size of the Universe, the less sense it all makes