In today’s data-driven landscape, organizations require a scalable, unified, and high-performance data platform to seamlessly manage diverse datasets across enterprise workloads such as AI/ML, Big Data analytics, HPC and business applications. This abstract outlines the design of an Enterprise Data Platform (EDP) delivering breakthrough data architecture for the modern enterprise. We will discuss customer benefits for use cases for AI/ML Model training and inference, Big Data Analytics and building Multi-Cloud strategy.

AI/ML Model Training and Inference: High-speed access to datasets accelerates AI pipelines, making VAST Data ideal for training large language models and visual AI solutions.
Big Data Analytics: Enables real-time analytics for financial institutions, retailers, and enterprises, delivering insights from vast amounts of data. Hybrid Cloud and Multi-Cloud Strategy: Seamlessly supports data mobility between edge, core, and cloud environments for global businesses.