bschup

ML inference using FPGA's is an active area of research, https://arxiv.org/html/2512.01463v1 and have been successfully used in LHC/HEP detectors such as CMS and ATLAS.

Certainly, we use networks on FPGA at FNAL for inference on LHC/CMS high energy physics results. There are also cases involving microsecond control of dynamical systems. https://fastmachinelearning.org/hls4ml/ https://indico.cern.ch/event/797510/contributions/3313676/at... https://cdrdv2-public.intel.com/833277/deploying-tinyml-fpga... https://ml4physicalsciences.github.io/2019/files/NeurIPS_ML4...

I'd also add the RCA 7835 (5 MW @ 200 MHz), Burhle 4616 (200k kW 200 MHz), and the Litton (12 MW @ 805 MHz) klystron. All currently in use at Fermilab.

Would be curious to see how a "Hello World!" in Zig compares.

Maybe not entirely what you're looking for but certainly modular. https://quanticxmw.com/