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[XPS 15 Early 2017 9560 kabylake] Making Nvidia Drivers + (CUDA 8 / CUDA 9 / CUDA 9.1) + Bumblebee work together on linux ( Ubuntu / KDE Neon / Linux Mint / debian )
# Instructions for 4.14 and cuda 9.1
# If upgrading from 4.13 and cuda 9.0
$ sudo apt-get purge --auto-remove libcud*
$ sudo apt-get purge --auto-remove cuda*
$ sudo apt-get purge --auto-remove nvidia*
# also remove the container directory direcotory at /usr/local/cuda-9.0/
# Important libs required with 4.14.x with Cuda 9.X
$ sudo apt install libelf1 libelf-dev
# Install Intel Graphics Patch Firmwares (This should reboot your system):
bash -c "$(curl -fsSL"
# Update to 4.14 kernel. nvidia-384 compiles fine with this.
cd /tmp
sudo dpkg -i *.deb
# Add Nvidia repository
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt update
# Install via ubuntu drivers
sudo ubuntu-drivers autoinstall
# <optional for ML Folks> Install CUDA 8 (if you're interested in using gpu for ML) ~> requires nvidia stable drivers
# This acts as repo so install it somewhere safe and do not delete
# cuda is now available with membership only, download from
sudo dpkg -i cuda-repo-ubuntu1604-9-0-local-rc_9.0.103-1_amd64.deb
sudo apt-key add /var/cuda-repo-<version>/
sudo apt-get update
sudo apt-get install cuda
# Update Path to have /usr/local/cuda/bin incase using dotfiles.
# <optional for ML Folks> Install CuDNN for running things like tensorflow
# Download cudnn7 for cuda9 from nvidia
sudo dpkg -i libcudnn7_7.0.2.43-1+cuda9.0_amd64.deb
# Testing cuda.
$ sudo prime-select intel
$ nvidia-smi
# This should give an error, no drivers found
# Try this
$ sudo prime-select nvidia
# displays CUDA info.
# At this point the nvidia drivers work well enough. Search for "nvidia x server settings"
# in your applications menu and you can switch between intel and nvidia PRIME profiles.
# But the nvidia card is still ON (bbswitch will report it off, but the battery consumption is (20 +- 5) Watts
# You can leave it here if you're not worried about battery but if you are then continue with this.
# Install powertop
sudo apt install powertop
# TLP interferes with bluetooth, better not install it, or remove it completely.
sudo apt remove --purge tlp
# Run powertop:
sudo powertop
# You should see battery discharge around 20w +/- 5W, this eats up my battery 4 times faster.
# Add command line params:
sudo nano /etc/default/grub
# Make the following look like this, do not ask why.
GRUB_CMDLINE_LINUX_DEFAULT='pcie_port_pm=off acpi_backlight=none acpi_osi=Linux acpi_osi=! acpi_osi="Windows 2009"'
sudo update-grub2
# Install bumblebee - now this is the danger zone, this software has not been updated in a while and I am not sure when will this available.
# Avoid updating your system if you're fine with this.
sudo add-apt-repository ppa:bumblebee/testing
sudo apt update
sudo apt install bumblebee bumblebee-nvidia
# at the time of writing this, the latest is nvidia-381 but cuda 8 requires the stable, which is nvidia-375
# add them to bumblebee config file.
sudo nano /etc/bumblebee/bumblebee.conf
# Change 'Driver=' to 'Driver=nvidia'
# Change all occurences of 'nvidia-current' to 'nvidia-xxx'
# Change KernelDriver=nvidia-384
# save and run
sudo service bumblebeed restart
# this should give you daemon already running
sudo bumblebeed
# Since the driver load will now be handled by bumblebee, we need to stop the OS from loading it.
sudo nano /etc/modprobe.d/bumblebee.conf
# Make the following section look like this (the drm line will be added):
blacklist nvidia-387
blacklist nvidia-387-drm
blacklist nvidia-387-updates
blacklist nvidia-experimental-387
# once that is done, you'll need bbswitch dkms module
sudo apt-get install bbswitch-dkms
# Load this with the kernel.
sudo nano /etc/modules-load.d/modules.conf
# add following
# now make sure nvidia-settings has nvidia prime profile selected.
# So what actually happened:
# The control for switching between graphics has been moved from nvidia's driver to bumblebee. This helps
# maximize battery life because now you can selectively switch between which graphics card to use. In case
# you want to provide access to nvidia gpu for the current application run it using optirun.
# e.g. if you want to run steam with nvidia gpu, run something like: $ optirun steam
# or if you're using gpu to run ml tasks, just run them with optirun and they would work just fine.
# Additional
# TLP is known to interfere with bumblebee, make it avoid using this
# Run powertop to see if battery consumption is in check: 10w +/- 5W
# Testing bumblebee
cat /proc/acpi/bbswitch # Ouput:0000:01:00.0 OFF
optirun glxgears -info # Runs the Gears demo
optirun nvidia-smi # Should give an error
sudo prime-select nvidia # Should select nvidia hardware for cuda
optirun nvidia-smi # Outputs:
| NVIDIA-SMI 387.34 Driver Version: 387.34 |
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| 0 GeForce GTX 1050 Off | 00000000:01:00.0 Off | N/A |
| N/A 29C P0 N/A / N/A | 5MiB / 4041MiB | 2% Default |
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
| 0 23052 G /usr/lib/xorg/Xorg 5MiB |
cat /proc/acpi/bbswitch # Still Outputs:0000:01:00.0 OFF which means, we're using nvida hardware only when we run applications using optirun
# Getting mouse freezes, random misses?
dmesg -w | grep psmouse #check if your trackpad is out of sync frequently
# Add this boot flag:
# The system loads a blank screen with just a cursor on reboot?
# I found that selecting nvidia and restarting the system would need nvidia to run again,
# but unfortunately we disable nvidia on startup. A simple fix could be adding an alias in your ~/.(bash|zsh)rc
# I always restart my system from the terminal so this makes sure I move back to intel always before restart.
alias reboot="sudo prime-select intel; sudo reboot now"
alias shutdown="sudo prime-select intel; sudo shutdown -h now"
# Other Helpful links:
GpuTest 0.7.0
Module: TessMark X64
Score: 5243 points (FPS: 87)
- 1920x1080 windowed
- antialiasing: Off
- duration: 60000 ms
- GeForce GTX 1050/PCIe/SSE2
- OpenGL: 4.5.0 NVIDIA 384.98
GpuTest 0.7.0
Module: Plot3D
Score: 11340 points (FPS: 189)
- 1920x1080 windowed
- antialiasing: Off
- duration: 60000 ms
- GeForce GTX 1050/PCIe/SSE2
- OpenGL: 4.5.0 NVIDIA 384.98
GpuTest 0.7.0
Module: FurMark
Score: 2670 points (FPS: 44)
- 1920x1080 windowed
- antialiasing: Off
- duration: 60000 ms
- GeForce GTX 1050/PCIe/SSE2
- OpenGL: 4.5.0 NVIDIA 384.98
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