Behind every ChatGPT token, every Sora frame, and every LLM you run in Ollama, an accelerator performs the same calculation trillions of times: matrix multiplication. The two ways to do this in silicon — GPU (NVIDIA) and TPU (Google) — start from opposing philosophies. This article … Read more
If you run AI models locally with llama.cpp / llama-server, you know the pain: download GGUF by hand, edit the configuration, restart the service, and hope the model starts. llama-model solves this — a Go CLI, one static binary, that manages your model collection and the llama-server service without needing the daemon from … Read more
Running AI models locally is no longer just a laboratory activity: with Ollama, you download and run LLMs on your own Linux machine without sending data to the cloud or paying per token. This post explains where the project came from — its origin explains much of its design — and shows how … Read more
The current generation of AI assistants has moved out of the browser and into the terminal — where sysadmins and developers actually work. They read files, explain errors, write scripts, and execute commands with your approval. This post is the updated September 2026 guide: what exists, how to install each one, and … Read more
