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fleet-strategy-paper
hayulalab/fleet-strategy-paper
fleet-strategy-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
- 7c8544d1
Model card
From the Hugging Face model README
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
Files
| 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
- License
- mit
- Created
- Jul 8, 2026
- Updated
- Jul 8, 2026