👉 Heavy computing refers to the intensive use of computational resources, typically involving powerful hardware like supercomputers or specialized AI chips, to solve complex problems that require extensive processing power. These tasks often involve large datasets, advanced algorithms, and high-dimensional calculations, such as those found in machine learning, deep learning, climate modeling, and molecular simulations. The heavy computing infrastructure enables researchers and engineers to perform tasks that would be impractical or impossible with standard computing setups, driving advancements in fields like artificial intelligence, materials science, and weather forecasting.
