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    ManufacturingAI & GenAIOn-Prem LLM

    On-Premise Deployment of Open-Source LLM

    Secure AI with zero external data exposure

    On-Premise Deployment of Open-Source LLM

    Client

    Leading Manufacturer

    Region

    Global

    Key Outcomes

    Zero external data exposureEliminated cloud LLM API costsLow-latency enterprise AI

    Business Challenge

    The client needed to deploy Generative AI across internal teams but could not use cloud-based LLM APIs due to data sensitivity, compliance requirements, and long-term cost concerns. They required full control over data, models, and infrastructure.

    Solution Overview

    DIATOZ designed and deployed a fully on-premise LLM solution using open-source models hosted on dedicated GPU infrastructure. Key elements included secure on-prem GPU deployment, custom model fine-tuning on enterprise data, role-based access control, and Dockerized, scalable architecture.

    Architecture & Engineering

    Open-source LLMs
    On-prem GPU inference
    Secure APIs
    Enterprise authentication
    No external API dependencies

    Technology Stack

    LLMsNVIDIA GPUsDockerPythonEnterprise Security

    Business Impact

    100% data sovereignty
    Lower AI operational costs
    Faster inference vs cloud APIs
    Full model ownership

    Why DIATOZ

    Deep expertise in private AI infrastructure and enterprise security requirements.

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