Five Reasons Why IBM Spectrum Scale Can’t Cut IT for AI
Data is the core of artificial intelligence; without data there is no learning and the more data available to the training systems the better the accuracy. Customers have been utilizing high-performance storage solutions that were originally built for HPC environments to address the data challenges of machine learning. One of the more prominent high-performance storage solutions is IBM’s Spectrum Scale file system.
In this blog post, I outline five specific shortfalls of Spectrum Scale that limit its ability to meet the demands of AI systems.