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.
Community reactions
Each reaction summarizes sampled comments from the linked discussion.
Hacker News · github.com
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.