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URL: https://huggingface.co/AIFoundry-hackathon

โ‡ฑ AIFoundry-hackathon (AIFoundry)


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๐Ÿ‘ AI Foundry ET-SoC1 Hackathon

๐Ÿš€ Welcome to the AIFoundry ET-SoC1 Hackathon

Port real models. Run them on real silicon. Share the results. โšก

This is a community hackathon for people who want to make open AI workloads run closer to the edge: vision, speech, audio, local language models, robotics, drones, and weird benchmark ideas that deserve to touch hardware. ๐Ÿค—

๐Ÿ Ready to join?

First step: join the Hugging Face organization so you show up with the rest of the teams, follow shared resources, and get the latest hackathon updates.

๐Ÿ‘‰ Join the AIFoundry Hackathon Org

Bring your teammates too. The org page is the public roster for people, teams, models, demos, and board results around the hackathon. ๐ŸŒ

๐Ÿงฉ Pick a quest

Quest What you can build
๐Ÿ‘๏ธ Vision Denoising, detection, camera-first edge workloads
๐ŸŽ™๏ธ Speech + audio Whisper-style kernels and streaming-friendly pipelines
๐Ÿง  Local LLMs GGUF and llama.cpp flows on ET-backed runtimes
๐Ÿค– Robotics + drones Perception, control, and low-power deployment paths
โš™๏ธ Systems Faster kernels, better memory movement, cleaner board runners
๐Ÿงช Wildcard Bring your own open model and make the benchmark reproducible

๐Ÿ“ฆ Model repo

The model repo is the technical home for examples, docs, benchmark artifacts, and the submission path:

๐Ÿ‘‰ Open the ET-SoC1 model repo

Start from an existing port, improve a kernel, add a new model, or package a small demo that shows why your port matters.

๐Ÿงญ How participation works

  1. ๐Ÿค Join this Hugging Face organization.
  2. ๐Ÿ‘ฏ Team up or go solo.
  3. ๐ŸŽฏ Pick a model, kernel, benchmark, or demo target.
  4. ๐Ÿ“š Use the model repo to follow the technical path.
  5. ๐Ÿš€ Submit your port or improvement.
  6. ๐Ÿ“Š The ET-SoC1 board workflow runs and comments back with results.

๐ŸŒฑ Good first contributions

  • โšก Improve an existing DnCNN, YOLO, Whisper, or LLM benchmark.
  • ๐Ÿ“Œ Add a new open model with a pinned Hugging Face reference.
  • ๐Ÿ Make a kernel faster and document the board result.
  • ๐ŸŽฌ Package a small demo that shows the workload in action.
  • ๐Ÿซถ Help another participant reproduce a run.

๐Ÿ’ฌ Need help?

Join Discord and ask in #Lab:

https://discord.gg/CbSA2umxf6

Tell us what you want to port, what hardware access you need, and whether you are looking for teammates.

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