👉 Self-compute, or "self-comp," is a computing paradigm where a system autonomously manages its own computational resources and tasks to optimize performance, efficiency, and adaptability. This approach involves the system dynamically allocating resources such as CPU, memory, and storage based on current demands, learning from past experiences to improve future operations, and making decisions to minimize energy consumption or maximize throughput. Self-compute systems can operate in a variety of environments, from edge devices to cloud infrastructures, and are particularly useful in scenarios requiring real-time responsiveness, low latency, or dynamic workloads. By integrating machine learning and artificial intelligence, self-compute systems can autonomously adjust their configurations and strategies to handle unpredictable or changing conditions, making them highly resilient and efficient in complex computing environments.
