Major Update: Introducing the LLMOnPremise Decision Framework (M2) January 2026 – We are proud to announce the immediate availability of the LLMOnPremise M2 update. This is not just a content refresh; it is a fundamental shift from a reference section to a comprehensive decision framework for enterprise AI deployment. In an era of hype, we chose a different path: No advice—only trade-off mapping. We don’t tell you "what is best." Instead, we provide seven interconnected tools to help you analyze constraints, ensuring you pick the architecture that fits your specific reality—whether that’s a regulated factory floor or a flexible enterprise IT environment. Core Philosophy: Constraint Analysis Every deployment pattern has valid use cases and inherent limitations. Our new framework replaces prescriptive recommendations with a rigorous "Fits Well / Risky When" analysis, allowing technical teams to evaluate On-Premise (Air-Gapped), Hybrid, and API-Only models against their actual constraints (latency, data sovereignty, cost, and compliance). What’s New in M2? The M2 update expands the section to 10 interconnected pages featuring: 1. Strategic Decision Tools Decision Comparison Matrix: A side-by-side analysis of deployment models across 8 axes, including Data Sovereignty and Operational Complexity. Architecture Selection Aid: A pattern-level fit analysis for four specific architectures (Isolated, RAG, Air-gapped, and Edge). Pre-Deployment Checklists: Over 130 verification items across three specific scenarios. These are not generic tasks; they are reference documentation for validation (IQ/OQ/PQ), security (RBAC/SSO), and infrastructure readiness. 2. Deep-Dive Scenarios We have added detailed analyses for three distinct environments, detailing failure modes and mitigation strategies for each: Manufacturing/Defense: ITAR/EAR controls, 99.9% uptime, and edge deployment. Pharma/Validated Systems: FDA 21 CFR Part 11, data integrity, and high validation overheads. Enterprise IT: Non-regulated environments focusing on SSO integration, cost optimization, and multi-tenancy. 3. Hardware Matrix Expansion The hardware guide has been updated to include the latest 2026 technology: NVIDIA Blackwell Series: RTX 5090 (32GB), 5080, and 5070. Data Center Grade: New entries for NVIDIA Spark and AMD MI300X. AMD & Mini PCs: Expanded support for the Radeon 7000 series and new modular Mini PC options. 4. Scenario-Aware "Ask" Mode Our RAG (Retrieval-Augmented Generation) engine has been upgraded. It now supports Scenario Context Injection. When you ask a question, you can select your context (e.g., "Pharma"), and the engine will automatically filter answers through the lens of your regulatory and technical constraints (e.g., prioritizing validation over speed). Live Now The LLMOnPremise section is designed for Solution Architects, DevOps engineers, and Compliance leads who need verification over prescription. Explore the new framework today!