Technical Workbench
Local Tiny Models
8 documents
AI PCs and Desktop-First AI: From Hardware Default to Enterprise Strategy
> **Source credibility: MEDIUM-HIGH.
May 2026
Enterprise AI Data Infrastructure: From Capacity Planning to Inference-Tempo Storage
> **Source credibility: MEDIUM** — Practitioner observations from enterprise AI conference (May 2026).
May 2026
Enterprise On-Premise AI Infrastructure: Vendor Landscape 2026
wiki/local-tiny-models.md · wiki/ai-implementation-cost-structure.md · wiki/ai-platform-selection.md · wiki/ai-vendor-lock-in.md
May 2026
Enterprise Data Estate Readiness for Agentic AI: Five Questions + Three Diagnostics
> **Source credibility: MEDIUM. TIER 2.**
May 2026
The Egress Boundary: Why Enterprise Teams Are Running AI Locally
> **Source credibility: MIXED. TIER 1–2.**
May 2026
Enterprise Workstations and Lightweight LLM Inference Servers
> **Source credibility: MEDIUM** — GPU specs and OEM workstation configs are drawn from official OEM and NVIDIA/AMD announcements (TIER 1–2).
May 2026
LLM Model Portability Across Hardware Backends: Conversion Pipelines, Gaps, and Enterprise Decision Matrix
> **Source credibility: TIER 2 (vendor documentation, community benchmarks, arXiv preprints).**
May 2026
On-Premise LLM TCO: The 4-Hour Break-Even Threshold
> **Source credibility: MEDIUM-HIGH. TIER 1–2.**
May 2026