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GPU Container

Org-only Training and datasets In development cli Python

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Run in terminal
pip install gpu-container

Model-aware inference memory-placement planner for single-GPU rigs: profile hardware + model, generate explicit VRAM/RAM/NVMe placement plans across runtimes (llama.cpp/vLLM/...), and prove them with a measured receipt. Not VRAM overflow - declared placement.

Language Python
Last updated Oct 1, 2026
Not in registry Install cmd No releases Documented
cudagpuinferencellama-cppllmmoeoffloadvramwsl2