Compute-to-data is a relatively new and popular method of training artificial intelligence (AI) models characterized by running an algorithm where a set of data exists, rather than the traditional method of sending the data to where the algorithm runs. This model exists to preserve data security — by keeping data securely onsite — while still allowing third parties to use and benefit from the data. Compute-to-data is especially useful with data-intensive workloads, the likes of which are common with cutting-edge industries like AI.
Share this news and win 10 USDT with daily contest on CryptoFingers Telegram.