Description
Resource-heavy AI models can share one machine more smoothly when VRAM or other resources are limited. It is useful for local experimentation where memory pressure would otherwise make switching models painful.
Model proxies may handle prompts, outputs, and local network APIs. Protect private prompts and monitor GPU memory, disk, and process access.