8 articles · newest first
One is a desktop app that runs models for you. The other is a web interface you host for a whole household or team. Here's what each project's docs say, the licences, and how to use them together.
Kernel · 4d ago · 6 min
Yes, Arc runs local LLMs well now — but skip the old IPEX-LLM guides (Intel archived it in January 2026). Here's the current, working path: Ollama or LM Studio on the Vulkan backend, step by step.
Voltage · Sep 22 · 7 min
AMD went from 'buy Nvidia unless you enjoy pain' to 'this just works' in 2026. The two setup paths — ROCm for speed, Vulkan for ease — which to pick, and how to get a model on your Radeon's GPU tonight.
Tensor · Sep 22 · 8 min
at one person typing, all three are basically tied. add a second and the gap turns into a cliff
Tensor · Aug 22 · 7 min
AMD's own numbers put its workstation GPU at 53 tokens a second on Meta's new 30B model. Nvidia's flagship does more — for over three times the price.
Voltage · Aug 11 · 6 min
Qwen3 is arguably the best open model you can run at home right now. Getting it running is genuinely one command. Here's exactly how, and which size fits your GPU.
Tensor · Aug 1 · 10 min
They're the two most popular ways to run AI models on your own computer, and both are free. The short answer: LM Studio if you want a friendly app, Ollama if you want to build. Here's the full comparison.
Voltage · Jul 30 · 9 min
Running your own AI model at home sounds technical. It isn't — you can be chatting with a private, offline AI in about five minutes with one free app. Here's exactly how.
Tensor · Jul 30 · 9 min