Building a Disciplined Local AI Workstation: VRAM Gating and Lifecycle Management
How do you run heavy Multimodal LLMs, VLMs, and Whisper models concurrently on a single 16GB GPU without OOM crashes? In our open-source project GoodQ4All, we built a Python-based ModelLifecycleManager context manager
How do you run heavy Multimodal LLMs, VLMs, and Whisper models concurrently on a single 16GB GPU without OOM crashes?
In our open-source project GoodQ4All, we built a Python-based ModelLifecycleManager context manager that audits system VRAM via PyTorch and nvidia-smi, performs preflight checks against strict budget profiles, and automatically unloads resident models.
Here is the step-by-step architecture: https://github.com/GoodQ02/goodq4all
Originally published by Dev.to AI. Aggregated on AIWithGhost for educational purposes — full credit and traffic to the original publisher.