LM Studio VRAM management frustrates power users

LM Studio's shift toward "stability-first" memory management is a blunt instrument that sacrifices peak performance for user safety.

• –The automated offloading logic leaves 1-2GB of VRAM idle even when the model could fit entirely on the GPU, a major friction point for 24GB card owners.
• –Electron-based UI overhead and conservative KV cache buffers consume critical memory headroom that leaner backends like llama.cpp or KoboldCPP utilize more efficiently.
• –Windows' "Shared GPU Memory" remains the arch-nemesis of local LLM performance, and LM Studio’s "Limit" toggle is a necessary but unpolished fix.
• –For high-performance inference at massive context lengths, the lack of granular, layer-by-layer manual offloading is becoming a dealbreaker for power users.
• –The need to close all background apps just to trigger a "full" GPU load indicates that LM Studio’s safety margins are currently too wide.