The process of distributing a set of tasks over a set of resources, with the aim of making their overall processing more efficient.
In high-throughput AI environments, Load Balancing distributes incoming prompts across a fleet of GPU inference servers. LLM deployments pair it with continuous batching and semantic routing, so that sudden traffic spikes do not bottleneck the system or saturate the VRAM of a single node.
See also Air-Gapped Environment, Role-Based Access Control and Zero Trust Architecture.