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Enterprise GenAI Platform Architecture for On-Premises Deployment

By PulseAugur Editorial · [1 sources] ·

This article outlines a reference architecture for building an enterprise-grade Generative AI platform that operates entirely on-premises. It details the necessary soft artifacts, such as MLOps modules, model serving, security systems, and data governance platforms, alongside hard artifacts like object storage, databases, and GPU infrastructure. The proposed architecture emphasizes security, governance, and cost management for a comprehensive on-prem GenAI system. AI

IMPACT Provides a blueprint for organizations to deploy and manage generative AI capabilities securely and efficiently within their own infrastructure.

RANK_REASON The article provides a detailed technical reference architecture for building an on-premises GenAI platform, which falls under research and infrastructure design. [lever_c_demoted from research: ic=1 ai=1.0]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Enterprise GenAI Platform Architecture for On-Premises Deployment

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2 / 100
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The article provides a detailed technical reference architecture for building an on-premises GenAI platform, which falls under research and infrastructure design. [lever_c_demoted from research: ic…
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
infra, product
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High
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Same-day
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COVERAGE [1]

  1. Towards AI TIER_1 English(EN) · Tolga Kabadurmus ·

    Building an Enterprise GenAI Platform: Reference Architecture, Security and Governance

    <figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*UJ7ipfuJczFVF4cKQBI5Qw.png" /></figure><h3>ABOUT</h3><p>This article aims to give insights on implementing end-to-end GenAI Architecture for an enterprise running completely on-prem, for newcomers. Also consider …

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