DeepStream is NVIDIA's platform for building highly optimized video processing pipelines accelerated by NVIDIA's hardware, taking full advantage of TensorRT for accelerated inference and CUDA for parallel processing. It targets many of the same business problems as Inference, including monitoring security cameras, smart cities, and industrial IoT.
DeepStream has a reputation for being difficult to use with a steep learning curve. It requires familiarity with NVIDIA tooling and while it is highly configurable, it's also highly complex. It's focused on video processing, without deep integrations with other tooling. DeepStream is not open source; ensure that the license issuitable for your project.
Choose DeepStream if: you're an expert willing to invest a lot of time and effort into optimizing a single project and high throughput is your primary objective.
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.
Inference turns any computer or edge device into a command center for your computer vision projects.