Proposal: Hardcoding AI Models into SoCs for Instant Inference

kingslayerer · reddit · 2026-08-28

Proposes creating an AI embedded SoC where model weights are hardcoded directly into the chip, similar to data on a CD.

• Core Idea: Utilize transistor count (e.g., 200 billion) to store model data directly rather than for computation.
• Expected Benefit: Extremely fast inference as data is a "snapshot" in a RAM-like structure.
• Use Case: Could enable microcontrollers like the ESP32 to run tiny LLMs (Billion or Trillion parameter scales).
• Discussion: Asks about the feasibility of the wiring (RAM-like vs. Processor-like) and whether manufacturing costs would actually be low.

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