A compute cluster is a group of connected computers that work together to perform data processing tasks faster and more efficiently than a single computer. In the context of artificial intelligence and machine learning, compute clusters are used to run machine learning and deep learning algorithms on large data sets. By distributing the workload across multiple computers, compute clusters can significantly reduce the time needed to train complex models and perform advanced data analysis. In addition, compute clusters can also provide redundancy and fault tolerance to ensure that critical artificial intelligence systems continue to function even if one or more computers fail.
Leading AI applications such as most apps are within the reach of many companies and allow large amounts of data to be analyzed and analyzed in a very [...]
Read More »Artificial Intelligence (AI) technologies are currently being used in companies to transform business processes, drive innovation and improve the quality of life of their [...]
Read More »In the previous articles ("Basic concepts to build a commercial software with artificial intelligence" and "How to materialize the opportun [...]
Read More »Once the basic concepts for building a commercial software with artificial intelligence are clear, where it is defined to whom to dedicate effort and [...]
Read More »