1203 lines
34 KiB
HTML
1203 lines
34 KiB
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<link rel="canonical" href="https://IvanTytar.github.io/microdao-daarion/infrastructure/SERVER_SPECIFICATIONS/">
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DAARION Documentation
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🖥️ Характеристики сервера DAARION
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</span>
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<input type="text" class="md-search__input" name="query" aria-label="Search" placeholder="Search" autocapitalize="off" autocorrect="off" autocomplete="off" spellcheck="false" data-md-component="search-query" required>
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<div class="md-search-result__meta">
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Initializing search
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<ol class="md-search-result__list" role="presentation"></ol>
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<div class="md-main__inner md-grid">
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<nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M12 8a3 3 0 0 0 3-3 3 3 0 0 0-3-3 3 3 0 0 0-3 3 3 3 0 0 0 3 3m0 3.54C9.64 9.35 6.5 8 3 8v11c3.5 0 6.64 1.35 9 3.54 2.36-2.19 5.5-3.54 9-3.54V8c-3.5 0-6.64 1.35-9 3.54Z"/></svg>
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</a>
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DAARION Documentation
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<ul class="md-nav__list" data-md-scrollfix>
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<a href="../../public/" class="md-nav__link">
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<span class="md-ellipsis">
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Home
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<a href="../../public/getting-started/" class="md-nav__link">
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<span class="md-ellipsis">
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Getting Started
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../public/architecture-overview/" class="md-nav__link">
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<span class="md-ellipsis">
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Architecture
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../public/daiS_daos_overview/" class="md-nav__link">
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<span class="md-ellipsis">
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DAIS & DAOS
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</span>
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</a>
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</li>
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<li class="md-nav__item md-nav__item--section md-nav__item--nested">
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Internal
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<span class="md-nav__icon md-icon"></span>
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Internal
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<li class="md-nav__item md-nav__item--nested">
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<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_5_1" >
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<span class="md-ellipsis">
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Infra
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</span>
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<span class="md-nav__icon md-icon"></span>
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</label>
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<nav class="md-nav" data-md-level="2" aria-labelledby="__nav_5_1_label" aria-expanded="false">
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<label class="md-nav__title" for="__nav_5_1">
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<span class="md-nav__icon md-icon"></span>
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Infra
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</label>
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<ul class="md-nav__list" data-md-scrollfix>
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<li class="md-nav__item">
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<a href="../../internal/infra/INFRA_AUTOMATION_PACK_V1/" class="md-nav__link">
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<span class="md-ellipsis">
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Infra Automation Pack v1
|
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</span>
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../internal/infra/monitoring_overview/" class="md-nav__link">
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<span class="md-ellipsis">
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Monitoring Overview
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</span>
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../internal/infra/nodes_registry_v0/" class="md-nav__link">
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<span class="md-ellipsis">
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Nodes Registry v0
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||
</span>
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||
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</a>
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</li>
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</ul>
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</nav>
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</li>
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<li class="md-nav__item md-nav__item--nested">
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<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_5_2" >
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<label class="md-nav__link" for="__nav_5_2" id="__nav_5_2_label" tabindex="0">
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<span class="md-ellipsis">
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Specs
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</span>
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<span class="md-nav__icon md-icon"></span>
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</label>
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<nav class="md-nav" data-md-level="2" aria-labelledby="__nav_5_2_label" aria-expanded="false">
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<label class="md-nav__title" for="__nav_5_2">
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<span class="md-nav__icon md-icon"></span>
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Specs
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</label>
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<ul class="md-nav__list" data-md-scrollfix>
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<li class="md-nav__item">
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<a href="../../internal/specs/matrix_presence_aggregator/" class="md-nav__link">
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<span class="md-ellipsis">
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Matrix Presence Aggregator
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</span>
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||
</a>
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||
</li>
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<li class="md-nav__item">
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<a href="../../internal/specs/city_map_spec/" class="md-nav__link">
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<span class="md-ellipsis">
|
||
City Map Spec
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
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<li class="md-nav__item">
|
||
<a href="../../internal/specs/node_join_protocol_draft/" class="md-nav__link">
|
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|
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|
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<span class="md-ellipsis">
|
||
Node Join Protocol (Draft)
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
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|
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</ul>
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</nav>
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</li>
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</ul>
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</nav>
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</li>
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|
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</ul>
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</nav>
|
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</div>
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</div>
|
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</div>
|
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|
||
|
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|
||
<div class="md-sidebar md-sidebar--secondary" data-md-component="sidebar" data-md-type="toc" >
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<div class="md-sidebar__scrollwrap">
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<div class="md-sidebar__inner">
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<nav class="md-nav md-nav--secondary" aria-label="Table of contents">
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|
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<label class="md-nav__title" for="__toc">
|
||
<span class="md-nav__icon md-icon"></span>
|
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Table of contents
|
||
</label>
|
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<ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
|
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<li class="md-nav__item">
|
||
<a href="#hardware-specifications" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
💻 Hardware Specifications
|
||
</span>
|
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</a>
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|
||
<nav class="md-nav" aria-label="💻 Hardware Specifications">
|
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<ul class="md-nav__list">
|
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<li class="md-nav__item">
|
||
<a href="#cpu" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
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CPU
|
||
</span>
|
||
</a>
|
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</li>
|
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<li class="md-nav__item">
|
||
<a href="#gpu" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
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GPU 🎯
|
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</span>
|
||
</a>
|
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|
||
</li>
|
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|
||
<li class="md-nav__item">
|
||
<a href="#ram" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
RAM
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
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<li class="md-nav__item">
|
||
<a href="#storage" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
Storage
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#docker-infrastructure" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
🐳 Docker Infrastructure
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="🐳 Docker Infrastructure">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#35" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
Всього контейнерів: 35
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#_1" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
Основні сервіси:
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Основні сервіси:">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#daarion-stack" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
DAARION Stack:
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#monitoring" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
Monitoring:
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#graph-vector-dbs" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
Graph & Vector DBs:
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#dify-platform" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
Dify Platform (не використовується в основному стеку):
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#ai-models-providers" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
🤖 AI Models & Providers
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="🤖 AI Models & Providers">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#ollama" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
Локальні моделі (Ollama):
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#cloud-api" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
Cloud API моделі:
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#_2" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
🔧 Інтегровані інструменти
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="🔧 Інтегровані інструменти">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#1-crawl4ai" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
1. Crawl4AI ✅
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#2-dotsocr" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
2. DotsOCR ✅
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#3-crewai" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
3. CrewAI ✅
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#network-ports" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
🌐 Network & Ports
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="🌐 Network & Ports">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#_3" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
Основні порти:
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#performance-metrics" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
📊 Performance Metrics
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="📊 Performance Metrics">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#cpu-usage-77-scaling-idle" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
CPU Usage: ~77% scaling (idle)
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#ram-usage-83-gb-62-gb-13" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
RAM Usage: 8.3 GB / 62 GB (13%)
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#gpu-usage-1922-mb-20475-mb-9" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
GPU Usage: 1922 MB / 20475 MB (9%)
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#disk-usage-118-gb-17-tb-8" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
Disk Usage: 118 GB / 1.7 TB (8%)
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#_4" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
🎯 Рекомендації
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="🎯 Рекомендації">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#vision-ai" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
Для Vision AI:
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#deepseek" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
Для DeepSeek:
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#crawl4ai" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
Для Crawl4AI:
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#_5" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
📝 Примітки
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#production" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
✅ Готовність до production
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
|
||
</nav>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
|
||
|
||
<div class="md-content" data-md-component="content">
|
||
<article class="md-content__inner md-typeset">
|
||
|
||
|
||
|
||
|
||
<h1 id="daarion">🖥️ Характеристики сервера DAARION<a class="headerlink" href="#daarion" title="Permanent link">¶</a></h1>
|
||
<p><strong>Дата</strong>: 2025-11-18<br />
|
||
<strong>Сервер</strong>: 144.76.224.179<br />
|
||
<strong>Статус</strong>: ✅ Production Ready</p>
|
||
<hr />
|
||
<h2 id="hardware-specifications">💻 Hardware Specifications<a class="headerlink" href="#hardware-specifications" title="Permanent link">¶</a></h2>
|
||
<h3 id="cpu"><strong>CPU</strong><a class="headerlink" href="#cpu" title="Permanent link">¶</a></h3>
|
||
<ul>
|
||
<li><strong>Модель</strong>: Intel Core i5-13500 (13th Gen)</li>
|
||
<li><strong>Архітектура</strong>: x86_64</li>
|
||
<li><strong>Ядра</strong>: 14 cores (20 threads)</li>
|
||
<li><strong>Базова частота</strong>: 2.4 GHz</li>
|
||
<li><strong>Максимальна частота</strong>: 4.8 GHz</li>
|
||
<li><strong>Потужність</strong>: Відмінна для AI workloads</li>
|
||
</ul>
|
||
<h3 id="gpu"><strong>GPU</strong> 🎯<a class="headerlink" href="#gpu" title="Permanent link">¶</a></h3>
|
||
<ul>
|
||
<li><strong>Модель</strong>: <strong>NVIDIA RTX 4000 SFF Ada</strong></li>
|
||
<li><strong>VRAM</strong>: <strong>20,475 MB (20 GB)</strong></li>
|
||
<li><strong>Driver Version</strong>: 535.274.02</li>
|
||
<li><strong>CUDA Version</strong>: 12.2</li>
|
||
<li><strong>Статус</strong>: ✅ Працює (використовується Python процесом - 1916 MB)</li>
|
||
<li><strong>Потужність</strong>: Відмінна для локальних Vision моделей (LLaVA, BLIP-2)</li>
|
||
</ul>
|
||
<p><strong>Поточне використання</strong>:
|
||
- GPU Memory: 1922 MB / 20475 MB (9%)
|
||
- GPU Utilization: 0% (idle)
|
||
- Temperature: 46°C
|
||
- Power: 11W / 70W</p>
|
||
<h3 id="ram"><strong>RAM</strong><a class="headerlink" href="#ram" title="Permanent link">¶</a></h3>
|
||
<ul>
|
||
<li><strong>Загальна</strong>: 62 GB</li>
|
||
<li><strong>Використовується</strong>: 8.3 GB</li>
|
||
<li><strong>Доступно</strong>: 54 GB</li>
|
||
<li><strong>Swap</strong>: 31 GB (3 GB використовується)</li>
|
||
<li><strong>Статус</strong>: ✅ Більш ніж достатньо для всіх сервісів</li>
|
||
</ul>
|
||
<h3 id="storage"><strong>Storage</strong><a class="headerlink" href="#storage" title="Permanent link">¶</a></h3>
|
||
<ul>
|
||
<li><strong>Диск</strong>: RAID (md2)</li>
|
||
<li><strong>Розмір</strong>: 1.7 TB</li>
|
||
<li><strong>Використано</strong>: 118 GB (8%)</li>
|
||
<li><strong>Доступно</strong>: 1.5 TB</li>
|
||
<li><strong>Статус</strong>: ✅ Багато місця для моделей</li>
|
||
</ul>
|
||
<hr />
|
||
<h2 id="docker-infrastructure">🐳 Docker Infrastructure<a class="headerlink" href="#docker-infrastructure" title="Permanent link">¶</a></h2>
|
||
<h3 id="35"><strong>Всього контейнерів</strong>: 35<a class="headerlink" href="#35" title="Permanent link">¶</a></h3>
|
||
<ul>
|
||
<li><strong>Працюють</strong>: 28</li>
|
||
<li><strong>Зупинені</strong>: 7</li>
|
||
</ul>
|
||
<h3 id="_1"><strong>Основні сервіси</strong>:<a class="headerlink" href="#_1" title="Permanent link">¶</a></h3>
|
||
<h4 id="daarion-stack">DAARION Stack:<a class="headerlink" href="#daarion-stack" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li>✅ <code>dagi-router</code> - DAGI Router (multi-provider)</li>
|
||
<li>✅ <code>dagi-gateway</code> - API Gateway</li>
|
||
<li>✅ <code>dagi-rbac</code> - RBAC сервіс</li>
|
||
<li>✅ <code>dagi-devtools</code> - DevTools</li>
|
||
<li>✅ <code>dagi-crewai</code> - CrewAI orchestrator</li>
|
||
<li>✅ <code>dagi-vision-encoder</code> - Vision embeddings</li>
|
||
<li>✅ <code>dagi-parser</code> - Parser Service (DotsOCR + Crawl4AI)</li>
|
||
<li>✅ <code>dagi-stt</code> - STT (Whisper)</li>
|
||
<li>✅ <code>dagi-tts</code> - TTS (gTTS)</li>
|
||
<li>✅ <code>dagi-qdrant</code> - Qdrant vector DB</li>
|
||
<li>✅ <code>dagi-postgres</code> - PostgreSQL</li>
|
||
<li>✅ <code>telegram-gateway</code> - Telegram Gateway</li>
|
||
<li>✅ <code>telegram-bot-api</code> - Local Telegram Bot API</li>
|
||
<li>✅ <code>nats</code> - NATS message broker</li>
|
||
</ul>
|
||
<h4 id="monitoring">Monitoring:<a class="headerlink" href="#monitoring" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li>✅ <code>dagi-prometheus</code> - Prometheus</li>
|
||
<li>✅ <code>dagi-grafana</code> - Grafana</li>
|
||
</ul>
|
||
<h4 id="graph-vector-dbs">Graph & Vector DBs:<a class="headerlink" href="#graph-vector-dbs" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li>✅ <code>neo4j</code> - Neo4j graph database</li>
|
||
<li>✅ <code>docker-weaviate-1</code> - Weaviate (частина Dify)</li>
|
||
</ul>
|
||
<h4 id="dify-platform">Dify Platform (не використовується в основному стеку):<a class="headerlink" href="#dify-platform" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li>✅ <code>docker-api-1</code> - Dify API</li>
|
||
<li>✅ <code>docker-web-1</code> - Dify Web UI</li>
|
||
<li>✅ <code>docker-worker-1</code> - Dify Workers</li>
|
||
<li>✅ + інші Dify компоненти</li>
|
||
</ul>
|
||
<hr />
|
||
<h2 id="ai-models-providers">🤖 AI Models & Providers<a class="headerlink" href="#ai-models-providers" title="Permanent link">¶</a></h2>
|
||
<h3 id="ollama"><strong>Локальні моделі (Ollama)</strong>:<a class="headerlink" href="#ollama" title="Permanent link">¶</a></h3>
|
||
<ul>
|
||
<li>✅ <strong>qwen3:8b</strong> (5.2 GB)</li>
|
||
<li>Використання: DAARWIZZ, Helion, GREENFOOD</li>
|
||
<li>Provider: <code>llm_local_qwen3_8b</code></li>
|
||
<li>Base URL: <code>http://172.17.0.1:11434</code></li>
|
||
</ul>
|
||
<h3 id="cloud-api"><strong>Cloud API моделі</strong>:<a class="headerlink" href="#cloud-api" title="Permanent link">¶</a></h3>
|
||
<ul>
|
||
<li>✅ <strong>DeepSeek</strong> (через API)</li>
|
||
<li>Provider: <code>cloud_deepseek</code></li>
|
||
<li>Base URL: <code>https://api.deepseek.com</code></li>
|
||
<li>Model: <code>deepseek-chat</code></li>
|
||
<li>API Key: Потрібен (перевірити в env)</li>
|
||
<li>Використання: Складні аналітичні задачі</li>
|
||
</ul>
|
||
<hr />
|
||
<h2 id="_2">🔧 Інтегровані інструменти<a class="headerlink" href="#_2" title="Permanent link">¶</a></h2>
|
||
<h3 id="1-crawl4ai"><strong>1. Crawl4AI</strong> ✅<a class="headerlink" href="#1-crawl4ai" title="Permanent link">¶</a></h3>
|
||
<ul>
|
||
<li><strong>Статус</strong>: Інтегровано в Parser Service</li>
|
||
<li><strong>Файл</strong>: <code>services/parser-service/app/crawler/crawl4ai_service.py</code></li>
|
||
<li><strong>Функції</strong>:</li>
|
||
<li>Web crawling (HTML, JavaScript rendering)</li>
|
||
<li>Document download (PDF, images)</li>
|
||
<li>Content extraction (markdown, text)</li>
|
||
<li><strong>Playwright</strong>: Опціонально (для JS rendering)</li>
|
||
<li><strong>Endpoint</strong>: <code>/ocr/parse</code> з <code>doc_url</code> параметром</li>
|
||
</ul>
|
||
<h3 id="2-dotsocr"><strong>2. DotsOCR</strong> ✅<a class="headerlink" href="#2-dotsocr" title="Permanent link">¶</a></h3>
|
||
<ul>
|
||
<li><strong>Статус</strong>: Працює в Parser Service</li>
|
||
<li><strong>Директорія</strong>: <code>/opt/dots.ocr/</code></li>
|
||
<li><strong>Модель</strong>: DeepSeek V3 (в transformers)</li>
|
||
<li><strong>Функції</strong>:</li>
|
||
<li>OCR для PDF/images</li>
|
||
<li>Text extraction</li>
|
||
<li>Q&A pairs generation</li>
|
||
<li>Markdown conversion</li>
|
||
</ul>
|
||
<h3 id="3-crewai"><strong>3. CrewAI</strong> ✅<a class="headerlink" href="#3-crewai" title="Permanent link">¶</a></h3>
|
||
<ul>
|
||
<li><strong>Статус</strong>: Працює (<code>dagi-crewai:9102</code>)</li>
|
||
<li><strong>Функції</strong>:</li>
|
||
<li>Multi-agent orchestration</li>
|
||
<li>Web search tools (Firecrawl)</li>
|
||
<li>Workflow management</li>
|
||
<li><strong>Інтеграція</strong>: Через DAGI Router</li>
|
||
</ul>
|
||
<hr />
|
||
<h2 id="network-ports">🌐 Network & Ports<a class="headerlink" href="#network-ports" title="Permanent link">¶</a></h2>
|
||
<h3 id="_3"><strong>Основні порти</strong>:<a class="headerlink" href="#_3" title="Permanent link">¶</a></h3>
|
||
<ul>
|
||
<li><code>9102</code> - DAGI Router</li>
|
||
<li><code>8000</code> - Telegram Gateway</li>
|
||
<li><code>8081</code> - Telegram Bot API (local)</li>
|
||
<li><code>9400</code> - Parser Service</li>
|
||
<li><code>9000</code> - STT Service</li>
|
||
<li><code>9100</code> - TTS Service</li>
|
||
<li><code>8001</code> - Vision Encoder</li>
|
||
<li><code>7474</code> - Neo4j HTTP</li>
|
||
<li><code>7687</code> - Neo4j Bolt</li>
|
||
<li><code>3000</code> - Grafana</li>
|
||
<li><code>9090</code> - Prometheus</li>
|
||
<li><code>11434</code> - Ollama (host)</li>
|
||
</ul>
|
||
<hr />
|
||
<h2 id="performance-metrics">📊 Performance Metrics<a class="headerlink" href="#performance-metrics" title="Permanent link">¶</a></h2>
|
||
<h3 id="cpu-usage-77-scaling-idle"><strong>CPU Usage</strong>: ~77% scaling (idle)<a class="headerlink" href="#cpu-usage-77-scaling-idle" title="Permanent link">¶</a></h3>
|
||
<h3 id="ram-usage-83-gb-62-gb-13"><strong>RAM Usage</strong>: 8.3 GB / 62 GB (13%)<a class="headerlink" href="#ram-usage-83-gb-62-gb-13" title="Permanent link">¶</a></h3>
|
||
<h3 id="gpu-usage-1922-mb-20475-mb-9"><strong>GPU Usage</strong>: 1922 MB / 20475 MB (9%)<a class="headerlink" href="#gpu-usage-1922-mb-20475-mb-9" title="Permanent link">¶</a></h3>
|
||
<h3 id="disk-usage-118-gb-17-tb-8"><strong>Disk Usage</strong>: 118 GB / 1.7 TB (8%)<a class="headerlink" href="#disk-usage-118-gb-17-tb-8" title="Permanent link">¶</a></h3>
|
||
<p><strong>Висновок</strong>: Сервер має відмінні ресурси для масштабування! 🚀</p>
|
||
<hr />
|
||
<h2 id="_4">🎯 Рекомендації<a class="headerlink" href="#_4" title="Permanent link">¶</a></h2>
|
||
<h3 id="vision-ai"><strong>Для Vision AI</strong>:<a class="headerlink" href="#vision-ai" title="Permanent link">¶</a></h3>
|
||
<p>✅ <strong>GPU готовий!</strong> Можна завантажити:
|
||
- LLaVA:7b (~7 GB) - швидко на GPU
|
||
- LLaVA:13b (~13 GB) - краща якість
|
||
- BLIP-2 (~1-2 GB) - легший варіант</p>
|
||
<h3 id="deepseek"><strong>Для DeepSeek</strong>:<a class="headerlink" href="#deepseek" title="Permanent link">¶</a></h3>
|
||
<ul>
|
||
<li>Перевірити чи є API key</li>
|
||
<li>Якщо є - використовувати для складних задач</li>
|
||
<li>Якщо немає - можна додати</li>
|
||
</ul>
|
||
<h3 id="crawl4ai"><strong>Для Crawl4AI</strong>:<a class="headerlink" href="#crawl4ai" title="Permanent link">¶</a></h3>
|
||
<ul>
|
||
<li>✅ Вже інтегровано!</li>
|
||
<li>Можна використовувати для web search через Parser Service</li>
|
||
</ul>
|
||
<hr />
|
||
<h2 id="_5">📝 Примітки<a class="headerlink" href="#_5" title="Permanent link">¶</a></h2>
|
||
<ol>
|
||
<li><strong>Dify Platform</strong> - працює, але НЕ використовується в основному стеку</li>
|
||
<li><strong>Milvus</strong> - зупинено (є Qdrant і Weaviate)</li>
|
||
<li><strong>RAG Service</strong> - зупинено (Haystack issues, є Dify RAG)</li>
|
||
<li><strong>Memory Service</strong> - зупинено (pgvector issue, не критично)</li>
|
||
</ol>
|
||
<hr />
|
||
<h2 id="production">✅ Готовність до production<a class="headerlink" href="#production" title="Permanent link">¶</a></h2>
|
||
<table>
|
||
<thead>
|
||
<tr>
|
||
<th>Компонент</th>
|
||
<th>Статус</th>
|
||
<th>Готовність</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
<tr>
|
||
<td><strong>Hardware</strong></td>
|
||
<td>✅ Відмінний</td>
|
||
<td>🟢 Production Ready</td>
|
||
</tr>
|
||
<tr>
|
||
<td><strong>GPU</strong></td>
|
||
<td>✅ RTX 4000 Ada</td>
|
||
<td>🟢 Ready for Vision</td>
|
||
</tr>
|
||
<tr>
|
||
<td><strong>RAM</strong></td>
|
||
<td>✅ 62 GB</td>
|
||
<td>🟢 Більш ніж достатньо</td>
|
||
</tr>
|
||
<tr>
|
||
<td><strong>Storage</strong></td>
|
||
<td>✅ 1.7 TB</td>
|
||
<td>🟢 Багато місця</td>
|
||
</tr>
|
||
<tr>
|
||
<td><strong>DAGI Router</strong></td>
|
||
<td>✅ Працює</td>
|
||
<td>🟢 Production</td>
|
||
</tr>
|
||
<tr>
|
||
<td><strong>Crawl4AI</strong></td>
|
||
<td>✅ Інтегровано</td>
|
||
<td>🟢 Ready</td>
|
||
</tr>
|
||
<tr>
|
||
<td><strong>DeepSeek</strong></td>
|
||
<td>⚠️ Потрібен API key</td>
|
||
<td>🟡 Check needed</td>
|
||
</tr>
|
||
<tr>
|
||
<td><strong>CrewAI</strong></td>
|
||
<td>✅ Працює</td>
|
||
<td>🟢 Ready</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
<hr />
|
||
<p><strong>Висновок</strong>: Сервер має ВІДМІННІ характеристики і готовий до всіх задач! 🎉</p>
|
||
<p><em>Створено: 2025-11-18</em><br />
|
||
<em>Оновлено: після детального аудиту</em></p>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
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|
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|
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|
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