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Story

Running a 28.9M parameter LLM on an $8 microcontroller

1 report

1 website

1 discussion

Latest report

Overview

A 28.9 million parameter language model generates text on the ESP32-S3 microcontroller, which costs about $8. The model operates entirely on the chip without server communication, displaying output on a small screen at approximately 9 tokens per second.

Summary from github.com.

Reports

One report so far. Additional coverage will appear here when it is linked to this story.

  1. github.com

    Running a 28.9M parameter LLM on an $8 microcontroller

    Read report →

Community reactions

Each reaction summarizes sampled comments from the linked discussion.

Hacker News · github.com

Running a 28.9M parameter LLM on an $8 microcontroller ↗
Hacker News discussion ↗

Historical count: 5 · 5 saved in sample · Historical sample

Analysis ready

Read this discussion’s reaction

Based on 5 sampled comments from this thread. Analyzed 2026-07-26.

  • Praise: It's impressive what you can achieve with a microcontroller for just $5; the possibilities for running AI models are expanding.
  • Praise: The use of per-layer embedding tricks opens fascinating avenues for deploying TTS models on low-power devices like the ESP32.
  • Praise: Running a 28.9M parameter model on a microcontroller showcases how far AI deployment has come, making powerful tech more accessible.
  • Concern: Running models on microcontrollers feels constrained and impractical; they might not be suitable for serious AI tasks.
  • Concern: The performance metrics are concerning; one user reported 10 seconds per token, which is painfully slow for real applications.
  • Concern: There's skepticism about scaling to larger models on constrained hardware, which raises doubts about the practicality of these microcontroller setups.