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MENA AI Sovereignty: Local-First Bilingual Model Deployment on Consumer Hardware

Domaine:

natural language processingdigital infrastructure

Type de record:

paper
Créateur:
Yah
Éditeur:
Zenodo
Hôte:avatar
The Middle East and North Africa (MENA) AI market presents a unique opportunity for local-first, bilingual AI deployment on consumer hardware. This white paper analyzes the technical, regulatory, and economic case for deploying AI models locally in the MENA region rather than relying on cloud-hosted frontier models. We present operational data from a production system in Kuwait — 15 specialist models on consumer hardware — and compare its Arabic NLP performance against GPT-5. Our findings indicate that local-first deployment offers 97.3% cost savings versus cloud API while achieving 96.5% of GPT-5 Arabic benchmark performance, with the additional advantages of data sovereignty and regulatory compliance.

Visit

doi.org

Tasks

language modeling

Tags

artificial intelligencedigital sovereigntybilingual modelsMENAsovereign computing

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution Non Commercial Share Alike 4.0 Internationalhttps://creativecommons.org/licenses/by-nc-sa/4.0/legalcode

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