What does "load balancing" mean in AI applications?

The concept of "load balancing" in AI applications refers to the practice of distributing workloads evenly across multiple computing resources or nodes. This is crucial in ensuring that no single resource is overwhelmed with too much work while others are underutilized. By effectively balancing the load, the system can achieve better performance, reduce latency, and enhance the responsiveness of applications. This is especially important in AI, where processing large datasets and running complex algorithms can demand significant computational resources. Proper load balancing allows for efficient use of these resources, facilitating faster data processing and improved overall system efficiency.

While other options may touch on aspects relevant to system performance and operations, they do not capture the essence of load balancing as directly as the correct choice does.