Organizations developing artificial intelligence (AI) or machine learning (ML) models typically work with massive data sets. This means deploying a significant number of servers equipped with powerful CPU processors, GPU graphics cards, or dedicated AI accelerators – resources that are critical to achieving accelerated computing. Vast amounts of disk space for data storage and powerful telecommunications solutions are also required.
Because of the demands and scale of such IT infrastructure, the challenge is to find a data center that has the appropriate colocation space and can provide servers with secure working conditions.