On-Chip LLM: Inside the Chip

· Mikeayles · Aug. 10, 2026, 11:47 a.m.
hardware FPGA FPGA Machine Learning transformers hardware architecture
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.
Read full post on www.mikeayles.com →
AUTHOR
Sponsored
Zulip logo Zulip
Organized team chat for people who take work seriously. Topic-based threading keeps conversations focused.
Try Zulip
Become a sponsor →