An AI Runtime is the execution environment that enables trained artificial intelligence models to run and produce predictions or responses in real-world applications. It manages the computational resources, model execution, data processing, and system interactions required when an AI model is actively serving users or applications.
An AI runtime can handle tasks such as model loading, inference, memory management, hardware acceleration, request processing, batching, and communication with surrounding services. It may run in cloud data centers, on edge devices, mobile hardware, or specialized AI infrastructure.
By providing an optimized environment for model execution, an AI runtime helps applications deliver fast, reliable, and scalable AI responses while making efficient use of available computing resources.
