Overview
Llumnix is a scheduling and request-routing layer designed for multi-instance LLM serving. It focuses on KV-cache-aware scheduling, migration and continuous rescheduling to minimize latency and maximize resource utilization.
Key features
- KV-cache-aware scheduling and near-zero-overhead migration across instances.
- Significant reductions in time-to-first-token and decoding stalls via fine-grained load balancing.
- Integration with popular inference engines (vLLM, etc.) and support for fault tolerance and elasticity.
Use cases
- Large-scale multi-instance LLM serving with high concurrency requirements.
- Enterprise deployments requiring isolation, stability and autoscaling.
Technical notes
- Provides API entrypoints (
api_serverandserve) compatible with vLLM-based deployments. - Supports simulator and benchmarking tooling; refer to the project’s docs for reproducible performance tests.