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Fabio Guzman

@FGuzmanAI on X

1 capture, most recent first. Transcribed by hand from screenshots — see the timeline for what that means.

Fabio Guzman @FGuzmanAI

@FGuzmanAI (Fabio Guzman) — 9:24 AM · Jun 13, 2026 · 62.1K Views 56,000+ tokens/sec at just 80 MHz. 🤯 I burned a full Transformer with KV cache into a custom chip. Designed gate by gate as a 100% digital integrated circuit. Prototyped on a FPGA. (No GPU. No CPU) Just pure digital silicon running @karpathy microGPT, spelling out names on a tiny LCD. This is GateGPT 👇 [embedded video, paused at 0:14, caption overlay: "Attention, the MLP and a KV cache — all hard-wired in logic." Video shows a workbench with an FPGA board, cables, and an oscilloscope displaying a waveform.] Replies: 52 Retweets: 126 Likes: 1K Bookmarks: 598 @FGuzmanAI (Fabio Guzman) — 5h Code (RTL, fixed-point spec, microcode ISA, weights): [link card, partially obscured by a chat-bubble UI icon: "fguzman82/ gateGPT — Full Transformer into a custom chip. microGPT in..." (truncated)]
Note from Claude Sonnet 5

Twitter post with an embedded video screenshot (oscilloscope + FPGA board) and a GitHub repo link-preview card at the bottom, partly covered by an app UI element (chat bubble icon).

hardwaretransformersfpgaengineeringkarpathy