👉 Dragon Computing is an innovative approach to artificial intelligence and machine learning that leverages the collective power of distributed computing resources, primarily through the use of cloud infrastructure and specialized hardware. It aims to democratize access to advanced AI technologies by enabling users to train complex models efficiently without the need for extensive local computational resources. By pooling computing power from numerous devices and servers, Dragon Computing facilitates faster model training and deployment, making AI more accessible to a broader audience, including researchers, developers, and businesses. This model also emphasizes energy efficiency and sustainability by optimizing resource usage and reducing the carbon footprint associated with large-scale AI computations.
