commodity-hardware-economics-paper

hayulalab/commodity-hardware-economics-paper

commodity-hardware-economics-paper is a machine learning model from hayulalab. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.

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Updated Jul 8, 2026

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License: mit
Access: Public
Created: Jul 8, 2026
Updated: Jul 8, 2026
SHA: 11fe878c

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From the Hugging Face model README

Commodity-Hardware Bug Bounty Economics: How a $6,000 Workstation Replaces $100k+/Year Security AI — Hayula Research

Hayula AI Lab

Abstract

We present a comprehensive economic analysis of running a full-spectrum bug bounty operation powered entirely by consumer-grade hardware—specifically, an Apple Mac Studio with M2 Ultra (192GB unified memory) and a suite of nine locally-deployed specialized cybersecurity language models (the Saif ecosystem, totaling 36GB in 4-bit quantization). We compare this hardware-bound inference pipeline against three alternatives: (1) cloud GPU inference at prevailing rates ($3–$5/hr for 8× A10G), (2) comm

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`paper.md`	Full paper (Markdown)
`README.md`	This model card

Citation

@techreport{hayulalab2026commodityhardwareeconomics,
    title={Commodity-Hardware Bug Bounty Economics: How a $6,000 Workstation Replaces $100k+/Year Security AI — Hayula Research},
    author={Hayula AI Lab},
    year={2026},
    url={https://huggingface.co/hayulalab/commodity-hardware-economics-paper}
}

hayulalab — Open Source AI Research

License: mit
Created: Jul 8, 2026
Updated: Jul 8, 2026