Technical Report: The Fleet Strategy — Distributed Inference Across Heterogeneous Consumer Hardware — Hayula Research
Hayula AI Lab
Abstract
This technical report describes Hayula Labs' fleet strategy for orchestrating AI inference across a heterogeneous collection of consumer-grade machines. We detail the architecture, operational metrics, and cost analysis of a production deployment spanning five machines in Kuwait (Mac Studio M2 Ultra 192GB, Acer Nitro V14 with RTX 4050 6GB, Framework Desktop, legacy workstations, NAS) with a unified routing layer. Over 90 days of operation, the fleet processed 3.9M inference requests with 99.4% u
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| File | Description |
|---|---|
paper.md |
Full paper (Markdown) |
README.md |
This model card |
Citation
@techreport{hayulalab2026fleetstrategy,
title={Technical Report: The Fleet Strategy — Distributed Inference Across Heterogeneous Consumer Hardware — Hayula Research},
author={Hayula AI Lab},
year={2026},
url={https://huggingface.co/hayulalab/fleet-strategy-paper}
}
hayulalab — Open Source AI Research
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