vLLM Multi-Replica
When one copy isn't enough, run several and spread the load across them.
Key Insight
This project runs four complete copies (replicas) of a model in vLLM behind a simple round-robin load balancer — a form of data parallelism — then load-tests them and reports the combined throughput.
Why This Matters
Replication is the simplest way to scale: each copy is independent, so a failure stays isolated and capacity grows almost linearly with the number of replicas. It is the default choice for any model small enough to fit on a single GPU.