Machine learning (ML) operations rely on effective data processing and storage in the rapidly developing fields of artificial intelligence (AI) and big data. With its many advantages in performance, scalability, and cost-effectiveness, Direct-Attached Storage (DAS) has quickly become a favorite among AI and big data experts. To help data scientists and AI professionals improve outcomes and speed processes, this article will examine how DAS storage may optimize data processing and increase machine learning workflows.
