> For the complete documentation index, see [llms.txt](https://machine-learning.paperspace.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://machine-learning.paperspace.com/wiki/rest-and-grpc.md).

# REST and gRPC

Most model-serving frameworks are based on REST.  TensorFlow Serving and TensorRT offer gRPC endpoints which are fussier but more performant.

## Benefits of REST

* **Stateless -** No client context is stored on the server between requests
* **Self-contained -** All information that is needed to service a request is packaged with the request itself
* **Flexible -** REST is programming language agnostic, has universal browser and language support, and supports a large number of filetypes

## Benefits of gRPC

* **Bi-directional** **-** gRCP supports two-way communication
* **Simplicity -** No headers, methods, or body, and better status codes
* **Performant -** Binary data via protocol buffers for serializing structure data, performs better under high loads