👉 Reserved computing refers to the allocation of specific computing resources, such as CPU cores, memory, storage, and network bandwidth, that are reserved exclusively for particular applications, services, or workloads by cloud service providers. This ensures that these critical resources are available and optimized for high-performance tasks, preventing them from being monopolized by other users or applications. By reserving these resources, cloud providers can guarantee consistent performance and reliability for mission-critical applications, such as real-time analytics, scientific simulations, or large-scale machine learning tasks. This approach allows organizations to leverage the cloud's scalability and flexibility while maintaining control over their most demanding workloads, ensuring they receive the necessary resources to meet their performance and efficiency requirements.
