# NVIDIA GPU-based FAN controller for SUPERMICRO server This controller enables automatic adjustments of FANs in SUPERMICRO servers based on GPU temperature. Only NVIDIA GPUs are supported since the tool uses nvidia-smi to parse the GPU temperature. FANs are controlled through IPMI tool (`impitool`) using the modified superfans (https://github.com/putnam/superfans) script. # Requirements * Linux (tested on Ubuntu 16.04.5) * Python 2.7 * nvidia drivers/tools (`nvidia-smi`) * IPMI tool (`ipmitool`) with loaded module (`modprobe ipmi_devintf`) Tested on SUPERMICRO 4029GP TRT2 with RTX 2080 Ti (nvidia 415.27 drivers). NOTE: Using this script on other systems requires manual calibration of a function that converts the FANs RPM values into %-based values (function `SUPERMICRO_4029GP_TRT2_RPM_to_percent()` in `supermicro.py`). Current values are hardcoded for SUPERMICRO 4029GP TRT2. # Usage Directly call python script (requires sudo access for `impitool`): ```bash sudo python superfans_gpu_controller.py ``` Or install systemd service (`superfans-gpu-controller.service`): ```bash sudo chmod +x ./install_daemon.sh sudo ./install_daemon.sh ``` Service is registered to start at system startup. Start and stop it using: ```bash # start sudo systemctl start superfans-gpu-controller # stop sudo systemctl stop superfans-gpu-controller # check the status sudo systemctl status superfans-gpu-controller # view logs (with trailing) sudo journalctl -f -u superfans-gpu-controller ``` ## Print RPMs of all FANs grouped by zones: ```bash sudo python superfans.py ``` # Settings Currently the settings are hardcoded into `superfans_gpu_controller.py` using the following table: * 0°C => 20% * 60°C => 25% * 70°C => 30% * 80°C => 35% * 87°C => 40% * 90°C => 43% At full workload using 4x RTX 2080 Ti this results in around 75°C - 80°C at GPU. ## TODO: * [ ] split settings into seperate config file * [ ] enable linear increases between each setting point * [ ] enable online calibration of FANs (currenlty hardcoded for SUPERMICRO 4029GP TRT2!!) * [ ] enable robust detection of faulty FANs as outliers (using RANSAC-like algorithm)