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AI Bitcoin Mining Guides

Sovereign AI for plebs — open-source models, self-hosting, AI Hashcenters.

AI

LM Studio vs Ollama vs llama.cpp: Which Runner for Plebs?

Three excellent open-source runners. Three different plebs. llama.cpp is the foundation Gerganov built. Ollama wraps it for daemon simplicity. LM Studio wraps it in a polished GUI. Here’s the 15-minute decision guide.

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Heating Your Home With Inference, Not Just Hashing

Bitcoin ASICs dump nearly all their power as heat — which is why mining heaters are a category. GPUs doing LLM inference follow the same thermodynamics. If you’re going to heat your home electrically, you may as well be running Llama 3.1 too.

AI

BTC-AI Public Companies: The Hashcenter-to-Tokens Pivot

Hut 8, Core Scientific, IREN, and TeraWulf are leaving Bitcoin Hashcenters to become AI datacenter operators. It’s a rational pivot for public companies — and it makes sovereign AI on pleb-owned hardware more important, not less.

AI

Open WebUI: The ChatGPT Experience, But Yours

The terminal is fine for testing, unusable for daily driving. Open WebUI is the ChatGPT-style interface that plugs into your local Ollama — multi-user, RAG, web search, reachable from anywhere over Tailscale. One Docker command; your Hashcenter becomes your private ChatGPT.

AI

ComfyUI for Plebs: Your First Local Image Generation

You installed Ollama and got local chat. Time for local image generation. ComfyUI runs SDXL, SD 3.5, and FLUX.1 on hardware you already own — the Midjourney/DALL-E subscription you can cancel. Here’s the pleb on-ramp.

AI

From S19 to Your First AI Hashcenter

The mining shed is the hardest part of an AI Hashcenter — and you already have it. 240V service, airflow, sound isolation, breaker capacity. A weekend of work converts an S19 shed into a hybrid BTC + sovereign-AI Hashcenter.

AI

GGUF, Q4, Q8, fp16: A Pleb’s Guide to LLM Quantization

Quantization is lossy compression for LLMs — same idea as JPEG for photos. It’s the reason a used 3090 runs 70B models and an 8 GB laptop runs Phi-3.5. Here’s what the Q4_K_M and GGUF suffixes actually mean, and which quant to pick for your rig.