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