Local AI & Regulated RAG Guides

GPU and VRAM sizing for local LLMs, document-parsing comparisons and compliance playbooks for running private AI in regulated industries.

Phase 1: Local AI & Hardware

Phase 1: Local AI & Hardware KD 30(medium). An editorial estimate entered by hand, not a live figure from Ahrefs, Semrush or similar tools.

vLLM vs Ollama for On-Prem LLM Serving: Concurrency, Memory and Security

vLLM vs Ollama for on-prem LLM serving: concurrency, memory use, model formats, hardware support, security defaults and a benchmark harness.

Phase 1: Local AI & Hardware KD 4(easy). An editorial estimate entered by hand, not a live figure from Ahrefs, Semrush or similar tools.

Qwen3-32B VRAM Calculator: FP16 vs Q8_0 vs Q4_K_M Memory Math and GPU Benchmarks

Qwen3-32B VRAM calculator: FP16, Q8_0 and Q4_K_M memory math, KV cache sizing, RTX 5090/4090 and Mac Studio estimates, plus Ollama and vLLM commands.

Phase 2: Regulated RAG & Compliance

Phase 2: Regulated RAG & Compliance KD 4(easy). An editorial estimate entered by hand, not a live figure from Ahrefs, Semrush or similar tools.

Docling vs PyMuPDF4LLM for Financial Tables: Multi-Column Statements and Tax Audit PDFs

Docling vs PyMuPDF4LLM on financial statements and tax audit PDFs: speed, merged-cell table handling, licensing, Python code and local RAG tips.