# Utilizing Idle Resources The Core Terminal effectively addresses the challenge of underutilized computing resources, which is a significant issue in the current technological landscape. Organizations often find themselves with surplus infrastructure, such as GPU, CPU, storage, and network bandwidth, that goes unused. This underutilization represents a missed opportunity, as these resources could be repurposed to support AI initiatives elsewhere. The Core Terminal provides a solution by creating a marketplace where these idle resources can be listed and monetized. By listing their unused resources on the platform, organizations can convert idle assets into a steady stream of passive income. This model ensures optimal utilization of available resources, benefiting both resource providers and users in need of scalable, affordable AI infrastructure. Resource providers are compensated based on the usage of their assets, providing them with an incentive to list high-quality resources and maintain them in good condition. For users, the availability of these surplus resources provides a cost-effective solution to their AI infrastructure needs. Small and medium-sized enterprises (SMEs), in particular, can benefit from this model, as it allows them to access high-quality computing resources without the need for significant upfront investment. This democratization of access to AI infrastructure can drive innovation and growth across various industries. The Core Terminal also incorporates mechanisms to ensure the fair and efficient allocation of resources. Users can browse and select resources based on their specific requirements, such as computing power, storage capacity, and network bandwidth. The platform’s matching algorithm ensures that users find the most suitable resources for their needs, optimizing both performance and cost. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.coreterminal.ai/product/operating-model/utilizing-idle-resources.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.