Neural networks are computational models fundamental to deep learning, designed to mimic the way the human brain processes information. They consist of layers of interconnected nodes, or “neurons,” which work together to analyze input data, identify patterns, and make decisions. Each layer in a neural network extracts different features from the data, with deeper layers identifying more complex patterns. Neural networks are essential for tasks like image and speech recognition, natural language processing, and predictive analytics, all of which require high levels of computational power and data throughput. VDURA provides the scalable storage infrastructure needed to support neural network models, ensuring efficient, large-scale data processing for fast, accurate model training and deployment. This capability enhances performance in data-intensive AI applications, supporting businesses in their advanced machine learning initiatives.