News, tutorials, benchmarks, and case studies from the local AI ecosystem.
State of Local AI June 2026: the local AI ecosystem has crystallized into three tiers — frontier (256GB+), single-GPU (24GB), and edge (phones, SBCs). Plus: model releases, hardware trends, and what to buy in 2026.
Local AI release roundup for June 2026: GLM-5.2 from Z.ai, Kimi K2.7 Code from Moonshot, minimax M2.7's 480B release, Qwen3-Coder 480B, and the new long-context LFM2.5 Thinking. With setup commands and VRAM requirements for each.
Fine-tune a Llama 3.1 8B model on an Apple Silicon Mac in 4 hours using Unsloth, QLoRA, and MLX. Full setup walkthrough with code samples, dataset prep, and evaluation.
How a 4-person law firm replaced their $4,000/month OpenAI bill with a $2,000 local AI build. Air-gapped, GDPR-compliant, with case-law RAG. Full setup walkthrough including the hardware spec, the legal-RAG stack, and the prompts that worked.
A step-by-step tutorial for building a fully offline AI assistant app for Android and iOS using Llamafu for on-device inference and Flutter for the UI. No internet required.
An end-to-end walkthrough of fine-tuning a language model for customer support using Unsloth and QLoRA. From dataset preparation to GGUF export and Ollama deployment — all on a single consumer GPU.
Announcing local-llm.net — the community-driven guide to deploying AI locally. We cover the entire ecosystem because the local AI movement belongs to everyone.
A non-technical guide for fiction writers who want AI tools that respect creative freedom and privacy. How to set up KoboldCpp, SillyTavern, and uncensored models for brainstorming, worldbuilding, and prose generation.
An honest, network-traffic-level audit of telemetry and data collection in Ollama, LM Studio, Jan, GPT4All, and Open WebUI in 2026. Spoiler: local does not always mean private.
An opinionated S/A/B/C/D tier ranking of every major local AI model across six categories: chat, coding, reasoning, creative writing, vision, and embeddings. Updated quarterly.
A step-by-step guide to building a Retrieval-Augmented Generation pipeline that actually works in production. Ollama for inference, ChromaDB for vectors, LangChain for orchestration — with solutions to every common pain point.
A 30-day experiment ditching ChatGPT Plus for a fully local AI setup. What worked, what failed, exact costs, and an honest verdict on whether local AI is ready for daily use.
Benchmarking the used RTX 3090 against the RTX 4090 and RTX 5090 for local AI inference. The 3090's 24GB VRAM at $500-800 used makes it the unbeatable value pick for running large language models locally.
Deploy a multi-user ChatGPT alternative for your team using Open WebUI and Ollama. Complete guide covering Docker, HTTPS, authentication, model management, and cost analysis vs ChatGPT Team.
A comprehensive look at where local AI stands in 2026 — from 70B models on consumer GPUs to mobile inference, and everything that shifted since the chaotic early days of 2024.