Building Efficient Neural Networks for FPGAs: Part 2

Running ML inference on an Artix-7 or Kintex FPGA without a hard processor using a MicroBlaze soft CPU to drive an hls4ml accelerator. Part 2 of 2 In Part 1, we trained a compact weather classifier, converted it to HLS using hls4ml, synthesized it,…

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8 min read · 08 Mar 2026

Building Efficient Neural Networks for FPGAs: Part 1

A practical guide for embedded engineers stepping into ML acceleration. Edge inference is having a moment for one simple reason: latency. If your model needs to react at the sensing level, sending data to the cloud or even to a…

Victor Oloniyo

07 Mar 2026 9 min read

// snippet
conda create -n edge-hls4ml python=3.10 -y
conda activate edge-hls4ml
pip install tensorflow hls4ml scikit-learn pandas numpy matplotlib

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Building Efficient Neural Networks for FPGAs: Part 1

A practical guide for embedded engineers stepping into ML acceleration. Edge inference is having a moment for one simple reason: latency. If your model…

9 min read 07 Mar 2026