5 Reasons Why IBM Spectrum Scale is Ill-suited for AI WekaIO

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 data 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. IBM Spectrum Scale (aka IBM GPFS) was developed 25 years ago to support the high throughput needs of multimedia applications.