# MLflow vs vLLM — Fit & Features

Canonical: https://trutool.co/compare/mlflow-vs-vllm
Author: Snehil (https://trutool.co/authors/snehil)

Compare MLflow and vLLM by use case, features, limitations, and evaluation questions.

## Compare fit, features, and limitations

### MLflow
Track experiments and manage the lifecycle of machine learning and generative AI applications.
Best fit: Machine learning teams building, serving, and operating model workloads.
- Experiment tracking
- Model registry
- AI evaluation
Before you choose: Benchmark your workload, verify model licenses and hardware requirements, and compare inference, hosting, and storage costs.
Pricing: https://mlflow.org
- [Read MLflow profile](https://trutool.co/tools/mlflow): Read MLflow profile

### vLLM
Serve language models with an open-source inference engine.
Best fit: Machine learning teams building, serving, and operating model workloads.
- LLM serving
- Batching
- API server
Before you choose: Benchmark your workload, verify model licenses and hardware requirements, and compare inference, hosting, and storage costs.
Pricing: https://docs.vllm.ai/en/latest/
- [Read vLLM profile](https://trutool.co/tools/vllm): Read vLLM profile