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AI Self-Hosting Bitcoin Mining Guides

Installation and operation guides for Ollama, LMStudio, ComfyUI, Open WebUI, and more.

Bitcoin × AI

An MCP Tool That Pays Per Call Over L402

Gate an MCP tool behind an L402 paywall so any AI agent that calls it pays sats per invocation — no accounts, no API keys, no middleman. The reference shape, what you can sell, and the honest limits.

AI Self-Hosting

Local AI to Babysit Your Rigs: An Offline LLM That Reads Your Miner Logs

Run a local LLM on your own host box to read your miner logs, explain cryptic errors in plain language, and babysit your rigs overnight. It runs on your hardware next to the ASIC, never on the miner, grounded in D-Central error-code data, and it never phones home.

AI Self-Hosting

Run Coding Agents Fully Offline on Local Models (Air-Gapped, Sovereign)

Coding agents like Claude Code call hosted models by default — they do not run Claude offline. The honest air-gapped path: point an open agent harness (Codex) at a local open-weight model via Ollama. Here is what really runs offline, the hardware you need, and the honest capability gap.

AI Self-Hosting

Run Hermes Agent on Your Bitcoin Node – Don’t Rent a VPS

You already run a node on hardware you own. That same sovereign box can host an open agent (Hermes, by Nous Research) instead of renting a VPS. Own your compute the way you own your keys – honestly, with the trade-offs spelled out.

AI

Self-Hosted AI Troubleshooting: GPU Not Detected, OOM, Slow Tokens

Self-hosted AI breaks. So does firmware. Troubleshooting is a skill plebs already have — this post just translates the common AI failure modes (GPU not detected, OOM on load, slow tokens, service won’t start) into the vocabulary you already use.

AI

The Pleb’s Guide to Self-Hosted AI

Self-hosted AI isn’t as easy as opening ChatGPT — but for plebs who already run nodes and miners, the learning curve is half what it looks like. Here’s the whole picture before you install anything.

AI

Connect Your Self-Hosted AI to Home Assistant, Obsidian, Shortcuts

ChatGPT is worth its monthly fee because it powers your tools. Your local Ollama speaks the same OpenAI API. Here’s how to wire Home Assistant voice, Obsidian notes, VS Code Continue, and iPhone Shortcuts to your Hashcenter — no subscriptions, no cloud.

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.

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

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.