Practical AI Privacy & Infrastructure Guidance
Deep dives into self-hosted AI, telemetry auditing, and due diligence — from the engineers who verify every tool listed on the directory.
July 24, 2026
Local Llama DeepSeek vs GPT API
A total cost of ownership comparison between hosting Llama or DeepSeek locally versus calling GPT cloud APIs.
Read more →July 23, 2026
How We Audit Local AI Telemetry
Our methodology for auditing local AI tools using static analysis, dynamic network capture, and sandbox testing.
Read more →July 22, 2026
Verify Vendor No-Telemetry Claims Yourself
A step-by-step technical guide to independently verifying vendor zero-telemetry claims using packet captures and binary audits.
Read more →July 21, 2026
VRAM Cheat Sheet for Local LLMs
A hardware cheat sheet comparing model parameter count, quantization levels, and required GPU VRAM.
Read more →July 20, 2026
12-Point Audit for Local LLM Telemetry
A 12-step technical checklist to audit local LLM tools for background telemetry and phone-home behavior before deployment.
Read more →July 19, 2026
GDPR HIPAA Compliance with Local LLMs
Why running local LLMs offline doesn't guarantee compliance with GDPR or HIPAA without strict local controls.
Read more →July 18, 2026
Fine-Tuning vs Inference Hardware Limits
Comparing GPU VRAM, compute, and memory bandwidth requirements for LLM fine-tuning versus inference.
Read more →July 17, 2026
Docker and Offline AI Deployment
How to package Docker containers, model weights, and Python dependencies for reliable offline AI deployment.
Read more →July 16, 2026
CPU-Only LLM Inference in 2026
Evaluating the performance, memory bandwidth limits, and viability of CPU-only local LLM inference.
Read more →July 15, 2026
Consumer vs Workstation vs Server GPUs
Choosing between consumer, workstation, and server GPU tiers for self-hosted LLM inference workloads.
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