VAST Data Platform Overview and Architecture

This white paper presents the VAST Data Platform, which serves as a comprehensive software infrastructure designed for data-intensive computing. It outlines the platform's capabilities to capture, catalog, refine, enrich, and preserve data through real-time deep data analysis and deep learning. The document describes the platform's architecture, emphasizing its ability to provide seamless data access and computing from edge to cloud. It introduces a new distributed systems architecture called DASE, which eliminates interdependencies between machines, allowing for scalable parallel read and write operations. The paper also discusses the platform's approach to marrying unstructured and structured data, achieving high performance and capacity, and ensuring global consistency with local performance. Furthermore, it highlights the platform's resilience and uptime capabilities, making it suitable for enterprise and cloud service providers. The VAST Data Platform aims to bridge the gap between traditional data platforms and the requirements of modern deep learning applications.