Multi-LoRA Serving — Efficient Multi-Task Model Deployment

I will build a multi-LoRA serving system — deploying a single base model with multiple LoRA adapters using vLLM's multi-LoRA serving capability, request routing to the appropriate adapter per task, dynamic adapter loading without service restart, and monitoring tracking per-adapter usage and performance. Multi-LoRA serving is the most cost-efficient deployment pattern for organisations with multiple fine-tuned model variants — rather than deploying separate model instances for each task (each consuming full GPU memory), a multi-LoRA server loads the base model once and stores adapters as lightweight weight differentials, serving all task variants from a single GPU instance.

The system covers vLLM multi-LoRA configuration, adapter registry, request routing by task type, dynamic adapter addition without restart, per-adapter performance monitoring, and a deployment guide for your infrastructure.