High-Performance NFS Storage

To read this white paper from IDC sponsored by Vast Data, click on:
High-Performance NFS Storage for HPC-AI

Digital transformation is leading to rapid proliferation of use cases that rely on performance-intensive workloads. These workloads – which were once exclusive to academia and government institutions – are now going mainstream, thanks to an urgent need for gaining insights from accelerated analysis of diverse data sets.

A recent IDC survey found that more than half of organizations indicate data growth rates from 20% to 50% in 2022, and a 3rd expect them to go as high as 99%. 80% of this data will be unstructured in nature with a heavy emphasis on iterative, time-to-value insights. Workloads that deliver such insights make use of algorithmic approaches and workflows such as modeling and simulation (also known as HPC), training and inferencing (used in AI and ML), and (high-performance) data analytics. Traditional approaches to compute and storage – which are rooted in a general-purpose infrastructure architecture – fall short of the performance and scalability demands of such approaches.