Compute-To-Data

Compute-to-data is a relatively new and widely adopted approach for training artificial intelligence (AI) models. It involves running algorithms on the location where the data resides, rather than transferring the data to the algorithm. This model aims to enhance data security by keeping the data securely stored on-site while still enabling third parties to leverage and benefit from the data. Compute-to-data is particularly valuable for data-intensive workloads, which are common in cutting-edge industries like AI.