Your Data. Your Hardware. Your AI.
Practical guides for running AI locally—from someone who figured it out on a budget,
not a Silicon Valley lab.
Latest
Wicked Fast Gemma 4 vs Qwen 3.6 on RTX 3090: 3.10x Tested
Same RTX 3090, same llama.cpp build, same bench. Gemma 4 26B-A4B Q4_K_XL: 128 tok/s mean. Qwen 3.6-27B Q4_K_M: 41 tok/s. 3.10x faster, firsthand.
May 8, 2026DFlash vs MTP on RTX 3090: I Tested Both Locally
Firsthand head-to-head bench of DFlash + DDTree against MTP (PR #22673) on a single RTX 3090, same Qwen 3.6-27B target. Real numbers, both backends.
May 6, 2026Lightning 2.6.x Malware: Check Your Local AI Stack
PyPI's lightning package was poisoned April 30 with malware that abuses Claude Code hooks. Here's the 5-minute audit I ran on my own 3090 box.
May 1, 2026What Are You Looking For?
"I'm New — Where Do I Start?"
Zero to running AI in 15 minutes, no experience needed.
First LLM · Ollama vs LM Studio · Troubleshooting · Open WebUI
"Which GPU Should I Buy?"
Every budget, every brand, tested for AI workloads.
Buying Guide · Under $300 · Under $500 · Used 3090 · AMD vs NVIDIA
"What Can My GPU Actually Run?"
Exact models and speeds for your VRAM tier.
"Which Model Should I Use?"
The right model for coding, writing, math, or chat.
"I Want to Generate Images & Video"
Stable Diffusion, Flux, ComfyUI, and AI video on your hardware.
Stable Diffusion · Flux · Art Styles · Video Gen · ComfyUI vs A1111
"I Have a Mac"
M1 through M4 — which models fit your unified memory.
OpenClaw: The AI Agent Everyone's Talking About
Setup, security, costs, and the ClawHub malware crisis.
Setup · Security Alert · Cut Costs 97% · Best Models · How It Works
"Local vs Cloud — Is It Worth It?"
Honest comparisons and cost breakdowns.
vs ChatGPT · vs Claude · Cost Guide · Token Audit · Tiered Strategy
"I Want to Go Deeper"
RAG, fine-tuning, voice chat, and advanced optimization.
Local RAG · Fine-Tuning · Voice Chat · Quantization · Context Length
"Something's Broken"
Fix the most common local AI problems fast.
Troubleshooting · Ollama Fixes · Model Formats · LM Studio Tips
Is This For You?
- Privacy-conscious users who don't want their data feeding Big Tech's models
- Budget-minded tinkerers tired of paying cloud API costs or monthly subscriptions
- Developers exploring local LLMs for projects without vendor lock-in
- Small business owners who need AI but can't risk sensitive data in the cloud
- Career-changers and lifelong learners wanting practical AI skills