HPC and AI have changed data processing and analysis for organisations, enabling them tackle difficult problems quicker and more correctly
Legacy Hyperscale NAS systems fail to support commercial AI, machine learning, deep learning, and GPU computing on-premises and in the cloud
They require the adaptability to feed GPU-powered compute clusters for AI/DL workflows with any or all of the data from several, incompatible storage silos
The core issue is that data access is always routed through a file system at some point, for both human users and AI/DL applications
The problem is that file systems are now integrated into every vendor’s storage infrastructure with the advent of network-attached storage (NAS)
A new class of NAS architecture known as hyperscale NAS is built on open standards that are included in all common Linux distributions now in use in the business
Hyperscale NAS is unique not only in its performance but also in its architecture, which can boost the performance of current NAS systems without the need for changes