Kepler Communications is now running what they're calling the largest orbital compute cluster, with 40 GPUs circling the planet. And they've just signed up Sophia Space as a customer, proving there's actual demand for processing power in orbit.
This isn't just a tech demo anymore. Companies are starting to pay for compute time in space, which opens up some interesting possibilities for AI workloads that need to process satellite data without the latency of beaming everything back to Earth first.
The use case makes sense when you think about it. If you're running computer vision models on satellite imagery or doing real-time analysis of Earth observation data, processing it right there in orbit could be way more efficient than the traditional download-then-process approach.
For anyone working with geospatial AI or satellite data pipelines, this is worth watching. The infrastructure for space-based inference is actually becoming available, not just theoretical.
Kepler's betting that as more satellites go up and more companies want to run AI models on that data, orbital compute will become a standard part of the stack. With 40 GPUs already up there and paying customers signing on, they might be right.
