Usually you move the computation to the location of the data and not the other way around. That's the basic premise of Hadoop/Spark and many similar big data to

Usually you move the computation to the location of the data and not the other way around. That's the basic premise of Hadoop/Spark and many similar big data tools. GAIA-X self-descriptions give visibility on whether your data is (would be) in a data center that also has GPU-capacities. And if not, what you would have to pay for interconnection. See this demo for the basic idea of the self-description graph: https://www.youtube.com/watch?v=f17c3Vpi3rA https://www.youtube.com/watch?v=f17c3Vpi3rA