AI developer runs 28.9-million-parameter model on $10 ESP32-S3 microcontroller — uses Google's Per-Layer Embeddings technique, stores table on 16MB Flash memory
When you purchase through links on our site, we may earn an affiliate commission. Well, I reckon the most impressive AI hardware trick in a good while just happened on a piece of silicon that costs less than a decent burger. Last week, a Ukrainian developer named Slava S, who simply goes by 'slvDev' on GitHub, dropped a project called ESP32-AI.
- ▪When you purchase through links on our site, we may earn an affiliate commission.
- ▪Well, I reckon the most impressive AI hardware trick in a good while just happened on a piece of silicon that costs less than a decent burger.
- ▪Last week, a Ukrainian developer named Slava S, who simply goes by 'slvDev' on GitHub, dropped a project called ESP32-AI.
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| Original publisher | Tom's Hardware |
| Canonical URL | https://www.tomshardware.com/tech-industry/artificial-intelligence/ai-developer-runs-28-9-million-parameter-model-on-usd10-esp32-s3-microcontroller-uses-googles-per-layer-embeddings-technique-stores-table-on-16mb-flash-memory |
| Publication time | Mon, 27 Jul 2026 13:07:53 +0000 |
| Retrieval time | 2026-07-27T13:31:21.621Z |
| Last seen | 2026-07-27T13:31:30.555Z |
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| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
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| Cluster | C3LBZ6T9zZZU · 1 stories |
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| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
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| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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Tech Industry Artificial Intelligence AI developer runs 28.9-million-parameter model on $10 ESP32-S3 microcontroller — uses Google's Per-Layer Embeddings technique, stores table on 16MB Flash memory News By Zak Killian Published 27 July 2026 Local model running on a sub-$10 microcontroller is impressive despite its obvious limitations. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. (Image credit: Slava S./X) Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter When we talk about running local AI these days, the conversation usually either revolves around mini-PCs like the RTX Spark or drifts…
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