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Navi is a high-performance, versatile machine learning serving server implemented in Rust, tailored for production usage. It's designed to efficiently serve within the Twitter tech stack, offering top-notch performance while focusing on core features.
While Navi's features may not be as comprehensive as its open-source counterparts, its performance-first mindset makes it highly efficient.
navi
: The main code repository for Navidr_transform
: Twitter-specific converter that converts BatchPredictionRequest Thrift to ndarraysegdense
: Twitter-specific config to specify how to retrieve feature values from BatchPredictionRequestthrift_bpr_adapter
: generated thrift code for BatchPredictionRequestWe include all *.rs source code that makes up the main navi binaries for you to examine. The test and benchmark code, as well as configuration files are not included due to data security concerns.
in navi/navi you can run. Note you need to create a models directory and create some versions, preferably using epoch time, e.g., 1679693908377
you can adapt the above scripts to build using Cargo
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