Faster FastAPI with simdjson and io_uring on Linux 5.19
A few months ago, I benchmarked FastAPI on an i9 MacBook Pro. I couldn't believe my eyes. A primary REST endpoint to `sum` two integers took 6 milliseconds to evaluate. It is okay if you are targeting a server in another city, but it should be less when your client and server apps are running on the same machine. FastAPI would have bottleneck-ed the inference of our lightweight UForm neural networks recently trending on HN under the title "Beating OpenAI CLIP with 100x less data and compute". (Thank you all for the kind words!) So I wrote another library. It has been a while since I have…
Faster FastAPI with simdjson and io_uring on Linux 5.19 launched on March 6, 2023 with 290 votes, #101 of 5,007 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 3 years on.
In plain words
This library accelerates FastAPI applications on Linux 5.19 by leveraging simdjson for faster JSON parsing and io_uring for improved network I/O performance. It targets developers building machine learning inference servers or other latency-sensitive REST APIs where local request-response times matter. The library uses pre-registered buffers and file descriptor pooling to reduce overhead compared to standard FastAPI implementations.
written from the facts on this page · September 2026
From the sources
Web Serving and Remote Procedure Calls at 50x lower latency and 70x higher bandwidth than FastAPI, implementing JSON-RPC & REST over io_uring ☎️ - unum-cloud/UCall
In the maker’s words, at launch
A few months ago, I benchmarked FastAPI on an i9 MacBook Pro. I couldn't believe my eyes. A primary REST endpoint to `sum` two integers took 6 milliseconds to evaluate. It is okay if you are targeting a server in another city, but it should be less when your client and server apps are running on the same machine.…
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