![]() 1 $\begingroup 4GB is being used and cycles asks to allocate 700MB it will fail and the render stops 59 GiB Even after a while, the GPU memory stays allocated weirdly re on different machine but the cpu and memory are the same cuda by default will send your model to the "current device", which can be set with torch. Please read the CUDA on WSL user guide for details on what is supported Microsoft Windows is a ubiquitous platform for enterprise, business, and personal computing systems. Unlike nvidia-smi, it uses CUDA device IDs. nvidia-smi # replace the following versions displayed in nvidia-smi sudo apt install nvidia-fabricmanager-510 libnvidia-nscq-510 sudo systemctl enable nvidia-fabricmanager sudo systemctl start nvidia-fabricmanager Click on the green buttons that describe your target platform. CentOS Debian Fedora OpenSUSE RHEL SLES Ubuntu WSL Open a windows command prompt, change directory to where the nvidia-smi.
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