Grid computing is particularly at home in the areas of big data and smart data, digital transformation and artificial intelligence. It describes a technology in which many computers are connected to each other via a network in order to jointly solve large computing tasks. Instead of a single, particularly powerful computer taking on the work, the tasks are distributed across many computers. This allows huge amounts of data to be processed faster and more efficiently.
Imagine you want to digitally edit a cinema film in many individual frames. One computer alone would need weeks to do this. With the help of grid computing, the system transfers the work to many computers, which work simultaneously on different sections of the film. At the end, the results are combined. This saves an enormous amount of time and computing power.
Grid computing enables companies to implement complex projects without having to invest in expensive specialised hardware. This means that even small companies or research teams can carry out sophisticated data analyses. In many areas, such as analysing climate data or medical studies, grid computing has become indispensable.
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