On-Chip LLM: Inside the Chip

326 · Mikeayles · Aug. 10, 2026, 11:47 a.m.
FPGA hardware Machine Learning FPGA transformers Performance Optimization
Summary
This blog post discusses the intricate details of a 3.16M-parameter transformer specifically designed for FPGA architecture, focusing on its datapath, GEMV processing, dual-port configuration, and performance limits.
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