👉 Mounting computing, also known as distributed or parallel computing, refers to the practice of using multiple interconnected computers or processing units to solve complex computational problems more efficiently than a single machine could. This approach leverages the combined power of many smaller, often commodity computers, to distribute tasks across a network, enabling faster processing times and handling of larger datasets. As computational demands grow, especially in fields like machine learning, scientific research, and big data analytics, mounting computing has become crucial for achieving scalable and cost-effective solutions. By pooling resources, systems can perform parallel processing, significantly reducing the time required for computations and making it feasible to tackle problems that would be impractical or impossible with traditional single-machine setups. This paradigm shift not only enhances performance but also democratizes access to high-performance computing resources, allowing more organizations and individuals to harness the power of advanced computational capabilities without the need for expensive, high-end hardware.
