LitServe is a lightweight and customizable inference server focused on serving models with minimal overhead. It is fairly minimalistic but flexible and self-contained.
Like Triton, LitServe is task-agnostic, meaning it is designed to balance the needs of vision models with NLP, audio, and tabular models. This means it's not as feature-rich for computer vision applications (for example, it doesn't have any built-in features for streaming video). It is also highly focused on model serving without an abstraction layer like Workflows (offered by Roboflow Inference) for model chaining and integrations with other tools.
Choose LitServe if: you are working on general-purpose machine learningtasks and were previously considering rolling your own server but wanta more featureful starting point.
Triton is a powerhouse tool for machine learning experts to deploy ML models at scale. Its primary focus is on extremely optimized pipelines that run efficiently on NVIDIA hardware. It can be tough to use, tradingoff simplicity and a quick development cycle for raw speed and isgeared towards expert users. It can chain models together, but doingso is a rigid and manual process.
Inference turns any computer or edge device into a command center for your computer vision projects.