A Graphics Processing Unit (GPU) is a specialized hardware component designed to accelerate complex computing tasks, especially those involving parallel processing. Originally developed for rendering graphics, GPUs have become essential in AI, machine learning, and deep learning applications due to their ability to process multiple data streams simultaneously. This parallel processing capability makes GPUs ideal for handling large datasets and accelerating tasks such as image recognition, natural language processing, and scientific simulations. VDURA systems are built to complement GPU-powered High-Performance Computing (HPC) environments, providing high-speed storage solutions that match the fast data throughput demands of GPU-accelerated tasks. By ensuring rapid data access and storage, VDURA enhances the efficiency and performance of GPU-based computations, enabling faster, more reliable results in data-intensive applications.