Show HN: Carton – Run any ML model from any programming language

• carton

  4 418 8.4 Rust

  Run any ML model from any programming language.

* Architecture - https://github.com/VivekPanyam/carton/blob/main/ARCHITECTURE...

Please let me know what you think!

• ivy

  17 14,022 10.0 Python

  The Unified AI Framework

  

is this ancillary to what [these guys](https://github.com/unifyai/ivy) are trying to do?

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• tfgo

  6 2,378 1.5 Go

  Tensorflow + Go, the gopher way

eh, awesome! Seems this one, right? https://github.com/galeone/tfgo. Quite many stars.

• arboreal

  1 6 0.0 Go

  pure Go library for gradient boosted decision trees

We used Triton Inference Server (with a Golang sidecar to translate requests) for model serving and a separate Go app that handled receiving the request, fetching features, sending to Triton, doing other stuff with the response, serving. This scaled to 100k QPS with pretty good performance but does require some hops.

In general writing pure Go inference libraries sucks. Not easy to do array/vector manipulation, not easy to do SIMD/CUDA acceleration, cgo is not go, etc. I wrote a fast XGBoost library at least (https://github.com/stillmatic/arboreal) - it's on par with C implementations, but doing anything more complex is going to be tricky.

Suggest a related project