Changes

This page details the build of our [[DIGITS DevBox]]. There's also a page giving information on [[Using the DevBox]]. nVIDIA, famous for their incredibly poor supply-chain and inventory management, have been saying [https://developer.nvidia.com/devbo "Please note that we are sold out of our inventory of the DIGITS DevBox, and no new systems are being built"] since shortly after the [https://en.wikipedia.org/wiki/GeForce_10_series Titax X] was the latest and greatest thing (i.e., somewhere around 2016). But it's pretty straight forward to update [https://www.azken.com/download/DIGITS_DEVBOX_DESIGN_GUIDE.pdf their spec].

<onlyinclude>[[File:Top1000.jpg|right|300px]] Our [[DIGITS DevBox]], affectionately named "Bastard"after Lois McMaster Bujold's fifth God, has a XEON e5-2620v3 processor, 256GB of DDR4 RAM, two GPUs - one Titan RTX and one Titan Xp - with room for two more, a 500GB SSD hard drive (mounting /), and an 8TB RAID5 array bcached with a 512GB m.2 drive (mounting the /bulk share, which is available over samba). It runs Ubuntu 18.04, CUDA 10.0, cuDNN 7.6.1, Anaconda3-2019.03, python 3.7, tensorflow 1.13, digits 6, and other useful machine learning tools/libraries.</onlyinclude>

But the parts ' cost is perhaps $4-5k now for a massive update to the original spec! So this page goes through everything required to put one together and get it up and running.

====Hardware check==== Check that the hardware is being seen: lspci -vk 05:00.0 VGA compatible controller: NVIDIA Corporation GP102 [TITAN Xp] (rev a1) (prog-if 00 [VGA controller]) Subsystem: NVIDIA Corporation GP102 [TITAN Xp] Flags: bus master, fast devsel, latency 0, IRQ 78, NUMA node 0 Memory at fa000000 (32-bit, non-prefetchable) [size=16M] Memory at c0000000 (64-bit, prefetchable) [size=256M] Memory at d0000000 (64-bit, prefetchable) [size=32M] I/O ports at d000 [size=128] Expansion ROM at 000c0000 [disabled] [size=128K] Capabilities: [60] Power Management version 3 Capabilities: [68] MSI: Enable+ Count=1/1 Maskable- 64bit+ Capabilities: [78] Express Legacy Endpoint, MSI 00 Capabilities: [100] Virtual Channel Capabilities: [250] Latency Tolerance Reporting Capabilities: [128] Power Budgeting <?> Capabilities: [420] Advanced Error Reporting Capabilities: [600] Vendor Specific Information: ID=0001 Rev=1 Len=024 Capabilities: [900] #19 Kernel driver in use: nouveau Kernel modules: nvidiafb, nouveau 06:00.0 VGA compatible controller: NVIDIA Corporation Device 1e02 (rev a1) (prog -if 00 [VGA controller]) Subsystem: NVIDIA Corporation Device 12a3 Flags: fast devsel, IRQ 24, NUMA node 0 Memory at f8000000 (32-bit, non-prefetchable) [size=16M] Memory at a0000000 (64-bit, prefetchable) [size=256M] Memory at b0000000 (64-bit, prefetchable) [size=32M] I/O ports at c000 [size=128] Expansion ROM at f9000000 [disabled] [size=512K] Capabilities: [60] Power Management version 3 Capabilities: [68] MSI: Enable- Count=1/1 Maskable- 64bit+ Capabilities: [78] Express Legacy Endpoint, MSI 00 Capabilities: [100] Virtual Channel Capabilities: [250] Latency Tolerance Reporting Capabilities: [258] L1 PM Substates Capabilities: [128] Power Budgeting <?> Capabilities: [420] Advanced Error Reporting Capabilities: [600] Vendor Specific Information: IDand Drivers=0001 Rev=1 Len=024 Capabilities: [900] #19 Capabilities: [bb0] #15 Kernel modules: nvidiafb, nouveau

This looks good. The second card Check the hardware is the Titan RTX (see httpsbeing seen and what driver is being used with://devicehunt.com/view/type/pci/vendor/10DE/device/1E02). lspci -vk

You could install the driver directly now using, say, apt install nvidia-430. But don't! ====CUDA==== Get CUDA 10.1 and have it install its preferred driver (418.67): *The installation instructions are here: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html*You can down load CUDA from here: https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_version=1804&target_type=runfilelocal Essentially, first install build-essential, which gets you gcc. Then blacklist the nouveau driver (see https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#runfile-nouveau) and reboot (to a text terminal, if you have deviated from these instructions and already installed X Windows) so that it isn't loaded.

Install the driver!  apt install nvidia-driver-430 ====CUDA==== Get CUDA 10.0, rather than 10.1. Although 10.1 is the latest version at the time of writing, it won't work with Tensorflow 1.13, so you'll just end up installing 10.0 under conda anyway. *The installation instructions are here: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html*You can down load CUDA 10.0 from here: https://developer.nvidia.com/cuda-10.0-download-archive?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_version=1804&target_type=runfilelocalEssentially, first install build-essential, which gets you gcc.  Then run the installer script.and DO NOT install the driver (don't worry about the warning, it will work fine!): sh cuda_10.10.168_418130_410.67_linux48_linux.run  Do you accept the previously read EULA? accept/decline/quit: accept Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 410.48? (y)es/(n)o/(q)uit: n Install the CUDA 10.0 Toolkit? (y)es/(n)o/(q)uit: y Enter Toolkit Location [ default is /usr/local/cuda-10.0 ]: Do you want to install a symbolic link at /usr/local/cuda? (y)es/(n)o/(q)uit: y Install the CUDA 10.0 Samples? (y)es/(n)o/(q)uit: y Enter CUDA Samples Location [ default is /home/ed ]: Installing the CUDA Toolkit in /usr/local/cuda-10.0 ... Missing recommended library: libGLU.so Missing recommended library: libX11.so Missing recommended library: libXi.so Missing recommended library: libXmu.so Missing recommended library: libGL.so Installing the CUDA Samples in /home/ed ... Copying samples to /home/ed/NVIDIA_CUDA-10.0_Samples now... Finished copying samples. =========== = Summary = ===========

=========== Driver: Not Selected Toolkit: = Summary =Installed in /usr/local/cuda-10.0 Samples: ===========Installed in /home/ed, but missing recommended libraries

Driver: Please make sure that - Installed Toolkit: Installed in PATH includes /usr/local/cuda-10.10/bin Samples: Installed in - LD_LIBRARY_PATH includes /usr/homelocal/edcuda-10.0/lib64, but missing recommended librariesor, add /usr/local/cuda-10.0/lib64 to /etc/ld.so.conf and run ldconfig as root

Please make sure that - PATH includes To uninstall the CUDA Toolkit, run the uninstall script in /usr/local/cuda-10.10/bin - LD_LIBRARY_PATH includes /usr/local/cuda-10.1/lib64, or, add /usr/local/cuda-10.1/lib64 to /etc/ld.so.conf and run ldconfig as root

To uninstall the CUDA Toolkit, run cuda-uninstaller Please see CUDA_Installation_Guide_Linux.pdf in /usr/local/cuda-10.10/doc/bin To uninstall the NVIDIA Driver, run nvidia-uninstallpdf for detailed information on setting up CUDA.

Please see CUDA_Installation_Guide_Linux ***WARNING: Incomplete installation! This installation did not install the CUDA Driver.pdf in /usr/local/cuda-10A driver of version at least 384.1/doc/pdf 00 is required for detailed information on setting up CUDA10.0 functionality to work. To install the driver using this installer, run the following command, replacing <CudaInstaller> with the name of this run file: sudo <CudaInstaller>.run -silent -driver Logfile is /var/logtmp/cuda-installercuda_install_2807.log

Fix Now fix the paths. To do this for a single user do: export PATH=/usr/local/cuda-10.10/bin:/usr/local/cuda-10.1/NsightCompute-2019.10${PATH:+:${PATH}} export LD_LIBRARY_PATH=/usr/local/cuda-10.10/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

Start But it is better to fix it for everyone by editing your environment file: vi /etc/environment PATH="/usr/local/cuda-10.0/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games" LD_LIBRARY_PATH="/usr/local/cuda-10.0/lib64" With version cuda 10.0, you don't need to edit rc.local to start the persistence daemon:

This should be run at bootInstead, so: vi /etc/rc.local #!/bin/sh -e /usr/bin/nvidia-persistenced --verbose exit 0 chmod +x /etc/rcruns as a service.local Verify the driver: cat /proc/driver/nvidia/version

Make the samples in:... cd /usr/local/cuda-10.10/samples

Change into the sample directory and run the tests: cd /usr/local/cuda-10.10/samples/bin/x86_64/linux/release

And yes, it's a thing of beautyEverything should be good at this point! ===X Windows=== Now install the X window system. The easiest way is: tasksel And choose your favorite. We used Ubuntu Desktop. And reboot again to make sure that everything is working nicely.

Then follow https://github.com/NVIDIA/nvidia-docker#quick-start to install docker2, but change the last command to use cuda 10.10

docker run --runtime=nvidia --rm nvidia/cuda:10.10-base nvidia-smi

dpkg -i libcudnn7_7.56.1.1034-1+cuda10.1_amd640_amd64.deb dpkg -i libcudnn7-dev_7.56.1.1034-1+cuda10.1_amd640_amd64.deb dpkg -i libcudnn7-doc_7.56.1.1034-1+cuda10.1_amd640_amd64.deb

==Video Driver Issue=VNC=== In order to use the graphical interface for Matlab and other applications, we need a VNC server.  First, install the VNC client remotely. We use the standalone exe from TigerVNC.  Now install TightVNC, following the instructions: https://www.digitalocean.com/community/tutorials/how-to-install-and-configure-vnc-on-ubuntu-18-04  cd /root apt-get install xfce4 xfce4-goodies As user sudo apt-get install tightvncserver vncserver set password for user (ailia) vncserver -kill :1 mv ~/.vnc/xstartup ~/.vnc/xstartup.bak vi ~/.vnc/xstartup #!/bin/bash xrdb $HOME/.Xresources startxfce4 & vncserver sudo vi /etc/systemd/system/vncserver@.service [Unit] Description=Start TightVNC server at startup After=syslog.target network.target [Service] Type=forking User=uname Group=uname WorkingDirectory=/home/uname PIDFile=/home/ed/.vnc/%H:%i.pid ExecStartPre=-/usr/bin/vncserver -kill :%i > /dev/null 2>&1 ExecStart=/usr/bin/vncserver -depth 24 -geometry 1280x800 :%i ExecStop=/usr/bin/vncserver -kill :%i [Install] WantedBy=multi-user.target Note that changing the color depth breaks it! To make changes (or after the edit) sudo systemctl daemon-reload sudo systemctl enable vncserver@2.service vncserver -kill :2 sudo systemctl start vncserver@2 sudo systemctl status vncserver@2 Stop the server with sudo systemctl stop vncserver@2 Note that we are using :2 because :1 is running our regular Xwindows GUI. Instrucions on how to set up an IP tunnel using PuTTY: https://helpdeskgeek.com/how-to/tunnel-vnc-over-ssh/ ====Connection Issues==== Coming back to this, I had issues connecting. I set up the tunnel using the saved profile in puTTY.exe and checked to see which local port was listening (it was 5901) and not firewalled using the listening ports tab under network on resmon.exe (it said allowed, not restricted under firewall status). VNC seemed to be running fine on Bastard, and I tried connecting to localhost::1 (that is 5901 on the localhost, through the tunnel to 5902 on Bastard) using VNC Connect by RealVNC. The connection was refused. I checked it was listening and there was no firewall: netstat -tlpn tcp 0 0 0.0.0.0:5902 0.0.0.0:* LISTEN 2025/Xtightvnc ufw status Status: inactive The localhost port seems to be open and listening just fine: Test-NetConnection 127.0.0.1 -p 5901 So, presumably, there must be something wrong with the tunnel itself. '''Ignoring the SSH tunnel worked fine: Connect to 192.168.2.202::5902 using the TightVNC (or RealVNC, etc.) client.''' ====Later Notes==== =====Change the resolution===== I came back and changed the resolution to make it work on one of my portrait desktop monitors.See https://www.tightvnc.com/vncserver.1.php As root: vi /etc/systemd/system/vncserver@.service Change line: ExecStart=/usr/bin/vncserver -depth 24 -geometry 1440x2560 :%i (Note that the size is 2160x3840 divide by 150%). Leave the color depth as it says elsewhere that changes are bad. systemctl daemon-reload systemctl enable vncserver@2.service As Ed: vncserver -kill :2 sudo systemctl start vncserver@2 sudo systemctl status vncserver@2

After logging into the box sometime later, it seems that the video drivers are no longer loading, presumably as a consequence of some update or somethingExit full screen with ctrl-alt-shift-f.

===Testing==Cut And Paste=====

nvidiaAlso, try to fix the cut-settings and-paste issue. See, for example, https://unix.stackexchange.com/questions/35030/how-can-i-copy-paste-data-to-and-from-the-windows-clipboard-to-an-opensuse-query FlatpanelNativeResolution ERROR: NVIDIA driver is not loadedclipb

As root: cd /usr/localapt-get install autocutsel vi ~/cuda-10.1vnc/samplesxstartup #!/bin/x86_64bash xrdb $HOME/linux/release.Xresources autocutsel -fork ./deviceQuery CUDA Device Query (Runtime API) version (CUDART static linking) startxfce4 & cudaGetDeviceCount returned 100 -> no CUDA-capable device is detected Result = FAILThough this might have been working fine anyway. Just change the terminal and all will be well.

And as researcherChange Settings: cd /home/researcher/ source ./venv/bin/activate python Preferred Applications -c "import tensorflow as tf; tf.enable_eager_execution(); print(tf.reduce_sum(tf.random_normal([1000, 1000])))" ... failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA> Utilities -capable device is detected ...kernel driver does not appear > Terminal to be running on this host (bastard): /proc/driver/nvidia/version does not existXFCE

lspci Note that this seems to fix everything but the instructions for customizing the menu are here: https://wiki.xfce.org/howto/customize-vk shows Kernel modules: nvidiafb, nouveau and no Kernel driver in usemenu cat /etc/xdg/menus/xfce-applications.menu

There is no /proc/driver/nvidia folder, and therefore no /proc/driver/nvidia/version file found. We get the followingI also installed xrdp: /usr/bin/nvidiaapt install xrdp adduser xrdp ssl-persistenced --verbosecert nvidia-persistenced failed to initialize. #Check syslog for more details.the status and that it is listening on 3389 tail /var/log/syslogsystemctl status xrd netstat -tln #It is listening...Jul 9 13:35:56 bastard kernel: [ 5314.526960] pcieport 0000:00:02.0: [12] Replay Timer Timeout ...Jul 9 13:35:56 bastard nvidia-persistenced: Failed to query NVIDIA devices. Please ensure that the NVIDIA device files (vi /etc/devxrdp/nvidia*) exist, and that user 0 has read and write permissions for those filesxrdp.ini ls #See https:/dev/ linux.die.net/man/5/xrdp.reveals no nvidia devices nvidia-smiini ...NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running.systemctl restart xrdp

grep nvidia /etc/modprobe.d/* /lib/modprobe.d/* .../etc/modprobe.d/blacklist-framebufferThis gave a dead session (a flat light blue screen with nothing on it), which finally yielded a connection log which said "login successful for display 10, start connecting, connection problems, giving up, some problem.conf:blacklist nvidiafb" ... cat /etcvar/modprobe.dlog/nvidia-installerxrdp-disable-nouveausesman.conf:# generated by nvidia-installerlog

Am going to try uninstalling CUDA I tried without success: gsettings set org.gnome.Vino require-encryption false https://askubuntu.com/questions/797973/error-problem-connecting-windows-10-rdp-into-xrdp vi /etc/X11/Xwrapper.1 and the current Nvidia driver, and then reinstalling CUDA 10config allowed_users = anybody This was promising as it was previously set to consol.0 https://www.linuxquestions.org/questions/usrlinux-software-2/localxrdp-under-debian-9-connection-problem-4175623357/cuda#post5817508 apt-10get install xorgxrdp-hwe-18.04 Couldn't find the package... This lead was promising as it applies to 18.04.02 HWE, which is what I'm running https://www.nakivo.1com/binblog/cudahow-to-use-remote-desktop-uninstallerconnection-ubuntu-linux-walkthrough/ dpkg -l |grep xserver-xorg-core ii nvidiaxserver-xorg-core 2:1.19.6-1ubuntu4.3 amd64 Xorg X server - core server Which seems ok, despite having a problem with XRDP and Ubuntu 18.04 HWE documented very clearly here: http://c-uninstallnergy.be/blog/?p=13972

WARNING: Your driver installation has been altered since it was initially installed; this may happen, for example, if you have since installed the NVIDIA driver through a mechanism other than nvidiaThere is clearly an issue with Ubuntu 18.04 and XRDP. The solution seems to be to downgrade xserver-installer (such as your distribution's native package management system). nvidiaxorg-installer will attempt to uninstall as best it core and some related packages, which can. Please see the file '/varbe done with an install script (https:/log/nvidiac-uninstall.log' for details. WARNING: Failed to delete some directoriesnergy. See be/varblog/log/nvidia-uninstall.log for details?p=13933) or manually.But I don't want to do that, so I removed xrdp and went back to VNC! Uninstallation of existing driver: NVIDIA Accelerated Graphics Driver for Linux-x86_64 (418.67) is complete.apt remove xrdp

Then download cuda_10.0.130_410.48_linux.run from https://developer.nvidia.com/cuda-10.0-download-archive?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_versionOther Software==1804&target_type=runfilelocal, as well as cuda_10.0.130.1_linux.run.

I installed the community edition of PyCharm: sudo susnap install pycharm-community --classic #Restart the local terminal so that it has updated paths (after a snap install, etc.) cd /bulksnap/install .pycharm-community/214/bin/cuda_10.0.130_410.48_linuxpycharm.run accept all defaults and install everything (including 410.something NVIDIA driver)sh

=========== Driver: Installed Toolkit: Installed in /usr/local/cuda-10.0 Samples: Installed in /home/edOn launch, but missing recommended libraries Please make sure that - PATH includes /usr/local/cuda-10.0/bin - LD_LIBRARY_PATH includes /usr/local/cuda-10.0/lib64, or, add /usr/local/cuda-10you get some config options.0/lib64 I chose to /etc/ld.so.conf install and run ldconfig as rootenable:*IdeaVim (a VI editor emulator) *R To uninstall the CUDA *AWS Toolkit, run the uninstall script in /usr/local/cuda-10.0/bin To uninstall the NVIDIA Driver, run nvidia-uninstall Please see CUDA_Installation_Guide_Linux.pdf in /usr/local/cuda-10.0/doc/pdf for detailed information on setting up CUDA. Logfile is /tmp/cuda_install_8524.log

Fix the pathsMake a launcher: In /usr/share/applications: export PATHvi pycharm.desktop [Desktop Entry] Version=2020.2.3 Type=Application Name=PyCharm Icon=/usrsnap/localpycharm-community/cuda-10.0214/bin${PATH:+:${PATH}}/pycharm.png export LD_LIBRARY_PATH Exec="/snap/usrpycharm-community/214/localbin/cudapycharm.sh" %f Comment=The Drive to Develop Categories=Development;IDE; Terminal=false StartupWMClass=jetbrains-10.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}pycharm

Also vi /etc/ld, create a launcher on the desktop with the same info.so.conf.d/cuda.conf /usr/local/cuda-10.0/lib64 ldconfig

Finally: Note that when I came back to the box the launcher didn't work./cuda_10.0.130.1.run accept all defaults

I installed MATLAB R2024a by downloading the zip, running sudo ./deviceQuery Starting... CUDA Device Query (Runtime API) version (CUDART static linking) cudaGetDeviceCount returned 35 -> CUDA driver version is insufficient for CUDA runtime version Result = FAILinstall

python -c "import tensorflow as tf; tf.enabl e_eager_execution(); print(tf.reduce_sum(tf.random_normal([1000, 1000])))" 2019-07-09 15:20:40.085877: E tensorflowand using the defaults of /usr/stream_executorlocal/cudaMATLAB/cuda_driverR2024 etc.cc:300 ] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device The license number is detecte d 2019-07-09 15:20:4041201644.085978: I tensorflow/stream_executor/cuda/cuda_diagnostics.c c:148] kernel driver does not appear to be running on this host (bastard): /proc /driver/nvidia/version does not exist

lspci -vk also returned In MATLAB, I ran: gpuDevice Error using gpuDevice (line 26) Graphics driver is out of date. Download and install the same as beforelatest graphics driver for your GPU from NVIDIA. This is really frustrating!

Did the following:Some quick checks showed that I was using driver version 430.26 on ubuntu 18.04.02. apt-get install nvidia-primesmi primelsb_release -select nvidia Info: the nvidia profile is already seta

updateI couldn't quite get MATLAB to tell me what I needed:* https://www.mathworks.com/help/parallel-initramfs computing/gpu-ucomputing-requirements.html* https://www.mathworks.com/help/parallel-computing/run-mex-functions-containing-cuda-code.html#mw_20acaa78-994d-4695-ab4b-bca1cfc3dbac

For next time (as root)MEX, I have 10.2 and need 12.2 of the CUDA toolkit: lshw -c videoMATLAB Release CUDA Toolkit Version R2024a 12.2 ... shows configuration without driver R2020b 10.2

modprobe However:* nVidia said the latest version was https://www.nvidia.com/Download/driverResults.aspx/230357/en--resolve-alias nvidiafbus/modinfo $(modprobe --resolve* The repo said the highest version for 18.04 is 545: https://launchpad.net/~graphics-alias nvidiafb)drivers/+archive/ubuntu/ppa

As root: lsof +D /usr/lib/xorg/modules/drivers/runlevel COMMAND PID USER FD TYPE DEVICE SIZE/OFF NODE NAME#5 Xorg 2488 root mem REG 8,49 23624 26346422 /usr/lib/xorg/modules/drivers/fbdev_drv.sosystemctl get-default Xorg 2488 root mem REG 8,49 90360 26347089 /usr/lib/xorg/modules/drivers/modesetting_drv#graphical.sotarget Xorg 2488 root mem REG 8,49 217104 26346424 /usr/lib/xorg/modules/drivers/nouveau_drvsystemctl set-default multi-user.sotarget Xorg 2488 root mem REG 8,49 7813904 26346043 /usr/lib/xorg/modules/drivers/nvidia_drv.sosystemctl reboot

As ed: cat /var/log/Xorg.0.logvncserver -kill :2 Killing Xtightvnc process ID 1844

] (II) LoadModuleAs root: "nvidia"[ 29 #sh .047] (II) Loading /usr/lib/xorg/modules/drivers/nvidia_drv.so[ 29.047] (II) Module nvidia: vendor="NVIDIA Corporation"[ 29.047] compiled for 4.0-Linux-x86_64-550.2, module version = 1107.002.0run[ 29.047] Module class: X.Org Video Driver # The distribution-provided pre-install script failed![ 29.047] (II) NVIDIA dlloader X Driver 410.48 Thu Sep 6 06:27:34 CDT 2018[ 29.047] (II) NVIDIA Unified Driver for all Supported NVIDIA GPUs[ 29.047] (II) Loading sub module "fb"[ 29.047] (II) LoadModule: "fb"[ 29.047] (II) Loading #cat /usrvar/liblog/xorg/modules/libfb.so[ 29.047] (II) Module fb: vendor="X.Org Foundation"[ 29.047] compiled for 1.19.6, module version = 1.0.0[ 29.047] ABI class: X.Org ANSI C Emulation, version 0.4[ 29.047] (II) Loading sub module "wfb"[ 29.047] (II) LoadModule: "wfb"[ 29.047] (II) Loading /usr/lib/xorg/modules/libwfb.so[ 29.048] (II) Module wfb: vendor="X.Org Foundation"[ 29.048] compiled for 1.19.6, module version = 1.0.0[ 29.048] ABI class: X.Org ANSI C Emulation, version 0.4[ 29.048] (II) Loading sub module "ramdac"[ 29.048] (II) LoadModule: "ramdac"[ 29.048] (II) Module "ramdac" already builtnvidia-in[ 29.095] (EE) NVIDIA: Failed to initialize the NVIDIA kernel module. Please see the[ 29installer.095] (EE) NVIDIA: system's kernel log for additional error messages and[ 29.095] (EE) NVIDIA: consult the NVIDIA README for details.[ 29.095] (EE) No devices detected.

vi /var/log/kernapt-get update apt install nvidia-driver-545 systemctl set-default graphical.logtarget ... it looks like we are back to an unsigned module tainting the kernel. systemctl reboot

vi /etc/default/grubRun MATLABGRUB_DEFAULT=0 gpuDeviceGRUB_TIMEOUT_STYLE=hidden Name: 'NVIDIA TITAN RTX'GRUB_TIMEOUT=2 Index: 1GRUB_DISTRIBUTOR=`lsb_release -i -s 2> /dev/null || echo Debian` ComputeCapability: '7.5'GRUB_CMDLINE_LINUX_DEFAULT="nvidia-drm GraphicsDriverVersion: '545.modeset=1"29.06'GRUB_CMDLINE_LINUX="" ToolkitVersion: 12.2000

update-grub gpuDevice(2)Sourcing file `/etc/default/grub Name: 'NVIDIA TITAN Xp'Generating grub configuration file ...Found linux image Index: /boot/vmlinuz-4.18.0-25-generic2Found initrd image ComputeCapability: /boot/initrd'6.img-4.18.0-25-generic1'Found linux image SupportsDouble: /boot/vmlinuz-4.18.0-20-generic1Found initrd image GraphicsDriverVersion: /boot/initrd'545.img-429.18.0-20-generic06'Found linux image ToolkitVersion: /boot/vmlinuz-412.18.0-18-genericFound initrd image: /boot/initrd.img-4.18.0-18-genericFound linux image: /boot/vmlinuz-4.15.0-54-genericFound initrd image: /boot/initrd.img-4.15.0-54-genericFound memtest86+ image: /boot/memtest86+.elfFound memtest86+ image: /boot/memtest86+.bindevice-mapper: reload ioctl on osprober-linux-nvme0n1p1 failed: Device or resource busyCommand faileddone2000

httpsThe messages were://askubuntu apt install nvidia-driver-545 The following additional packages will be installed: libnvidia-cfg1-545 libnvidia-common-545 libnvidia-compute-545 libnvidia-compute-545:i386 libnvidia-decode-545 libnvidia-decode-545:i386 libnvidia-encode-545 libnvidia-encode-545:i386 libnvidia-extra-545 libnvidia-fbc1-545 libnvidia-fbc1-545:i386 libnvidia-gl-545 libnvidia-gl-545:i386 nvidia-compute-utils-545 nvidia-dkms-545 nvidia-firmware-545-545.com/questions/1048274/ubuntu29.06 nvidia-kernel-common-545 nvidia-kernel-18source-545 nvidia-04utils-stopped545 xserver-workingxorg-withvideo-nvidia-drivers545 The following packages will be REMOVED: libnvidia-cfg1-430 libnvidia-common-430 libnvidia-compute-430 libnvidia-compute-430:i386 libnvidia-decode-430 libnvidia-decode-430:i386 libnvidia-encode-430 libnvidia-encode-430:i386 libnvidia-fbc1-430 libnvidia-fbc1-430:i386 libnvidia-gl-430 libnvidia-gl-430:i386 libnvidia-ifr1-430 libnvidia-ifr1-430:i386 nvidia-compute-utils-430 nvidia-dkms-430 nvidia-driver-430 nvidia-kernel-common-430 nvidia-kernel-source-430 nvidia-utils-430 xserver-xorg-video-nvidia-430 The following NEW packages will be installed: libnvidia-cfg1-545 libnvidia-common-545 libnvidia-compute-545 libnvidia-compute-545:i386 libnvidia-decode-545 libnvidia-decode-545:i386 libnvidia-encode-545 libnvidia-encode-545:i386 libnvidia-extra-545 libnvidia-fbc1-545 libnvidia-fbc1-545:i386 libnvidia-gl-545 libnvidia-gl-545:i386 nvidia-compute-utils-545 nvidia-dkms-545 nvidia-driver-545 nvidia-firmware-545-545.29.06 nvidia-kernel-common-545 nvidia-kernel-source-545 nvidia-utils-545 xserver-xorg-video-nvidia-545 0 upgraded, 21 newly installed, 21 to remove and 2 not upgraded.