Phdgd Virtual Vram Tool Now

git clone https://github.com/phdgd/vvram-tool.git cd vvram-tool make export LD_PRELOAD=/path/to/libvvram.so export VVRAM_SIZE=128G # desired virtual VRAM size export VVRAM_BACKEND=ram # or file export VVRAM_PAGE_SIZE=2M python run_llm.py

Right-click the PHDGD_VRAM_Tool.bat and select Run as Administrator . phdgd virtual vram tool

Modern GPUs possess dedicated high-bandwidth memory (e.g., GDDR6, HBM2e). However, consumer GPUs typically offer 8–24 GB VRAM, insufficient for large language models (LLMs) exceeding 30 GB or 4K+ texture workflows. Solutions include: git clone https://github

A tool for switching between different graphics profiles. Solutions include: A tool for switching between different

While third-party tools like PHDGD automate the process, the underlying mechanism is usually a Registry hack Open Registry Editor : Search for in Windows. Navigate to Intel Keys HKEY_LOCAL_MACHINE\Software\Intel Create GMM Key : Create a new key named Dedicated Segment Size , create a DWORD (32-bit) value named DedicatedSegmentSize

Two typical methods: