Resourcekrevende

Resourcekrevende is a Norwegian adjective used to describe processes, tasks, or systems that demand substantial resources, such as time, money, energy, or computing power. The term combines resource with krevende, meaning demanding, and is commonly applied across technology, industry, and research contexts.

In technology and computing, resourcekrevende systems are those that require large amounts of processing power, memory, storage, or energy. Examples include large-scale AI model training, high-fidelity 3D rendering, complex simulations, and data-intensive workflows. The concept is also relevant for software design, where functionality and performance must be balanced against the resources available to users, such as in mobile apps or cloud services.

The recognition of resourcekrevende characteristics has environmental and economic implications. High energy consumption and hardware requirements can drive costs and increase the system’s environmental footprint. As a result, there is emphasis on optimization, efficiency, and scalable architectures to reduce resource demands without sacrificing quality or functionality. Metrics often used to assess resource intensity include energy use (kilowatt-hours), processing time, memory usage, and input/output operations.

In practice, assessing whether a task is resourcekrevende involves considering both the absolute resource use and the context, such as available hardware, budget, and sustainability goals. Where possible, developers and organizations seek optimization strategies, efficient algorithms, and hardware-aware design to mitigate resource intensity.

See also: optimization, efficiency, green computing, data center efficiency, sustainability.