Bojan Tunguz, a renowned data expert, recently shared his experiment of installing and running the Qwen3 8B model on an old computer using an Nvidia RTX 1070 GPU. Notably, the entire process—from upgrading the operating system to configuring the model—was automated by an AI agent controlled remotely via SSH.
The Process
After upgrading the OS from Ubuntu 16.04 to 24.04, Tunguz used the Codex tool on a Mac to connect and command the AI to automatically install the necessary libraries to run Qwen3 8B. The results showed that the model operated stably and responded relatively quickly, despite running on hardware released years ago.
Why this is notable
This experiment demonstrates two important points: the optimization capability of current 8-billion parameter (8B) models, allowing them to run smoothly on limited VRAM, and the efficiency of AI agents in performing complex sysadmin tasks. For the AI community in Vietnam, this is great news for anyone wishing to run local large language models (local LLMs) on budget-friendly hardware.