# wladimiravila/esp32s3-distributed-ai

<https://repo.masters-masters.com/en/repos/wladimiravila/esp32s3-distributed-ai>

[Home](https://repo.masters-masters.com/en) › [wladimiravila](https://repo.masters-masters.com/en/owners/wladimiravila) › [esp32s3-distributed-ai](https://repo.masters-masters.com/en/repos/wladimiravila/esp32s3-distributed-ai)

wladimiravila/esp32s3-distributed-ai has 113 stars on GitHub. Its RepoMasters card: Prototype tier. Distributed 56M-parameter LLM inference across 3 ESP32-S3…

| Field | Value |
| --- | --- |
| Owner | [wladimiravila](https://repo.masters-masters.com/en/owners/wladimiravila) |
| Stars | 113 |
| Forks | 15 |
| Language | [C](https://repo.masters-masters.com/en/languages/c) |
| License | None |
| Created | 2026 |
| Topics | edge-ai, edge-ai-engineering, edge-ai-models, embedded, embedded-c, embedded-systems, esp32, esp32-s3, esp32s3, kv |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [wladimiravila/esp32s3-distributed-ai](https://github.com/wladimiravila/esp32s3-distributed-ai) |

## Repository

Distributed 56M-parameter LLM inference across 3 ESP32-S3 boards via ESP-NOW , Split-PLE + KV cache, fully offline.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.