LLM On-Premise – Deploy AI Locally

> SYSTEM STATUS: ONLINE

On-premise solutions, server configurations, GPU workstations, and infrastructure to deploy and manage Large Language Models locally. Sovereignty starts here.

:: ACCESS_HARDWARE_DB :: INIT_SETUP_GUIDES

> DECISION_SUPPORT_MATRIX

Constraint-based decision frameworks for deployment planning

> DEPLOYMENT COMPARISON

Compare On-Premise, Hybrid, and API-Only deployment models across 5 decision axes.

ACCESS MATRIX →
> SCENARIO ANALYSIS

Industry-specific deployment scenarios with weighted constraints and failure modes.

> REFERENCE ARCHITECTURES

Standardized deployment patterns with scenario fit analysis and implementation constraints.

> DEPLOYMENT_CHECKLISTS

Scenario-specific pre-deployment verification checklists. Manufacturing (uptime, edge), Pharma (21 CFR Part 11 validation), Enterprise IT (security, scalability). Verification gates, not recommendations.

VIEW CHECKLISTS →
> ASK OBSERVATORY

Constraint-focused decision reasoning engine for deployment planning questions.

QUERY SYSTEM →

> BENCHMARK_METRICS

Target configurations for 7B-70B models

TIER 1 (PRO)
RTX 4090
24GB VRAM ~70B Q4
TIER 2 (ENTRY)
RTX 4070
12GB VRAM ~13B Q4
RAM FLOOR
32GB
Min for 7B-13B
STORAGE IO
NVMe
Required for fast loading
VIEW COMPLETE HARDWARE MATRIX →

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