Neural network runs on FPGA with no CPU, OS, or software — pure Verilog logic
blaizedsouza · x · 2026-09-05
Zakriya Paracha built an MNIST handwritten-digit classifier that exists entirely as hardware inside an FPGA: a 28×28-input feedforward net with 25,888 weights, quantized from float to 8-bit integers, shrinking the model from 98 KB to 25 KB with only 0.18pp accuracy loss. Every multiply, memory access, and decision runs as dedicated Verilog-synthesized circuits — no CPU, no OS, no software — enabling ultra-fast inference.
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