Someone wired up seven ESP32s to create a ~0.4B LLM, and so can you

Hobbyists have successfully distributed a small language model across seven interconnected ESP32 microcontrollers. This setup utilizes a daisy-chain configuration to process the model's layers, demonstrating a novel approach to on-device AI computation.
Key takeaways
- Distributed LLM processing achieved on multiple microcontrollers
- SPI daisy-chain connects seven ESP32 boards for computation
- Master node handles tokenization and embeddings
- Compute nodes execute transformer layers for the model
Why it matters
This development suggests future possibilities for running more complex AI tasks directly on edge devices, rather than relying solely on cloud processing. It could lead to more responsive and private AI applications for everyday tools.
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