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# NVIDIA/Tips and tricks

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< NVIDIA

## Fixing terminal resolution

Since NVIDIA#fbdev is enabled by default, the Linux console should use the native monitor resolution without additional configuration.

If you have disabled `fbdev` or use an older version of the driver, the resolution may be lower than expected. As a workaround, you can set the resolution in your boot loader configuration.

For GRUB, see GRUB/Tips and tricks#Setting the framebuffer resolution for details. [1] [2]

For systemd-boot, set `console-mode` in `esp/loader/loader.conf`. See systemd-boot#Loader configuration for details.

For rEFInd, set `use_graphics_for +,linux` in `esp/EFI/refind/refind.conf`.[3] A small caveat is that this will hide the kernel parameters from being shown during boot.

Tip If the above methods do not fix your terminal resolution, it may be necessary to disable Legacy BIOS mode entirely (often referred to as Compatibility Support Module, CSM, or Legacy Boot) in your UEFI settings. Before proceeding, make sure that all of your devices are configured to use UEFI boot.

## Using TV-out

See Wikibooks:NVIDIA/TV-OUT.

## X with a TV (DFP) as the only display

The X server falls back to some "default" screen resolution (usually 640x480) if no monitor is automatically detected. This can be a problem when using a DVI/HDMI/DisplayPort connected TV as the main display, and X is started while the TV is turned off or otherwise disconnected.

To force NVIDIA to use the correct resolution, store a copy of the EDID somewhere in the file system so that X can parse the file instead of reading EDID from the display.

To acquire the EDID, start `nvidia-settings`. It will show some information in tree format, ignore the rest of the settings for now and select the GPU (the corresponding entry should be titled GPU-0 or similar), click the DFP section (again, DFP-0 or similar), click on the Acquire EDID... button and store it somewhere, for example, `/etc/X11/dfp0.edid`.

If in the front-end mouse and keyboard are not attached, the EDID can be acquired using only the command line. Run an X server with enough verbosity to print out the EDID block:

    $ startx -- -logverbose 6

After the X server has finished initializing, close it and extract the EDID block from the Xorg log file using nvidia-xconfig:

    $ nvidia-xconfig --extract-edids-from-file ~/.local/share/xorg/Xorg.0.log --extract-edids-output-file ./dfp0.bin

Edit the Xorg configuration by adding to the `Device` section:

    /etc/X11/xorg.conf.d/20-nvidia.conf

    Option "ConnectedMonitor" "DFP"
    Option "CustomEDID" "DFP-0:/etc/X11/dfp0.bin"

The `ConnectedMonitor` option forces the driver to recognize the DFP as if it were connected. The `CustomEDID` provides EDID data for the device, meaning that it will start up just as if the TV/DFP was connected during the X process.

This way, one can automatically start a display manager at boot time and still have a working and properly configured X screen by the time the TV gets powered on.

## Headless (no monitor) resolution

In headless mode, resolution falls back to 640x480, which is used by VNC or Steam Link. To start in a higher resolution e.g. 1920x1080, specify a `Virtual` entry under the `Screen` subsection in `xorg.conf`:

    Section "Screen"
       [...]
       SubSection     "Display"
           Depth       24
           Virtual     1920 1080
       EndSubSection
    EndSection

Tip Using headless mode may be tricky and prone to error. For instance, in headless mode, desktop environments and nvidia-utils do not provide a graphical way to change resolution. To facilitate setting up resolution one can use a DP or an HDMI dummy adapter which simulates the presence of a monitor attached to that port. Then resolution change can be done normally using a remote session such as VNC or Steam Link.

## Check the power source

The NVIDIA X.org driver can also be used to detect the GPU's current source of power. To see the current power source, check the 'GPUPowerSource' read-only parameter (0 - AC, 1 - battery):

    $ nvidia-settings -q GPUPowerSource -t

    1

## Listening to ACPI events

NVIDIA drivers automatically try to connect to the acpid daemon and listen to ACPI events such as battery power, docking, some hotkeys, etc. If connection fails, X.org will output the following warning:

    ~/.local/share/xorg/Xorg.0.log

    NVIDIA(0): ACPI: failed to connect to the ACPI event daemon; the daemon
    NVIDIA(0):     may not be running or the "AcpidSocketPath" X
    NVIDIA(0):     configuration option may not be set correctly.  When the
    NVIDIA(0):     ACPI event daemon is available, the NVIDIA X driver will
    NVIDIA(0):     try to use it to receive ACPI event notifications.  For
    NVIDIA(0):     details, please see the "ConnectToAcpid" and
    NVIDIA(0):     "AcpidSocketPath" X configuration options in Appendix B: X
    NVIDIA(0):     Config Options in the README.

While completely harmless, you may get rid of this message by disabling the `ConnectToAcpid` option in your `/etc/X11/xorg.conf.d/20-nvidia.conf`:

    Section "Device"
      ...
      Driver "nvidia"
      Option "ConnectToAcpid" "0"
      ...
    EndSection

If you are on laptop, it might be a good idea to install and enable the acpid daemon instead.

## Displaying GPU temperature in the shell

There are three methods to query the GPU temperature. nvidia-settings requires that you are using X, nvidia-smi or nvclock do not. Also note that nvclock currently does not work with newer NVIDIA cards such as GeForce 200 series cards as well as embedded GPUs such as the Zotac IONITX's 8800GS.

### nvidia-settings

To display the GPU temp in the shell, use nvidia-settings as follows:

    $ nvidia-settings -q gpucoretemp

      Attribute 'GPUCoreTemp' (hostname:0[gpu:0]): 49.
        'GPUCoreTemp' is an integer attribute.
        'GPUCoreTemp' is a read-only attribute.
        'GPUCoreTemp' can use the following target types: GPU.

The GPU temps of this board is 49 °C.

In order to get just the temperature for use in utilities such as rrdtool or conky:

    $ nvidia-settings -q gpucoretemp -t

    49

### nvidia-smi

Use nvidia-smi which can read temps directly from the GPU without the need to use X at all, e.g. when running Wayland or on a headless server.

To display the GPU temperature in the shell, use nvidia-smi:

    $ nvidia-smi

    Wed Feb 28 14:27:35 2024
    +-----------------------------------------------------------------------------------------+
    | NVIDIA-SMI 550.54.14              Driver Version: 550.54.14      CUDA Version: 12.4     |
    |-----------------------------------------+------------------------+----------------------+
    | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
    | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
    |                                         |                        |               MIG M. |
    |=========================================+========================+======================|
    |   0  NVIDIA GeForce GTX 1660 Ti     Off |   00000000:01:00.0  On |                  N/A |
    |  0%   49C    P8              9W /  120W |     138MiB /   6144MiB |      2%      Default |
    |                                         |                        |                  N/A |
    +-----------------------------------------+------------------------+----------------------+

    +-----------------------------------------------------------------------------------------+
    | Processes:                                                                              |
    |  GPU   GI   CI        PID   Type   Process name                              GPU Memory |
    |        ID   ID                                                               Usage      |
    |=========================================================================================|
    |    0   N/A  N/A    223179      G   weston                                        120MiB |
    +-----------------------------------------------------------------------------------------+

Only for temperature:

    $ nvidia-smi -q -d TEMPERATURE

    ==============NVSMI LOG==============

    Timestamp                                 : Wed Feb 28 14:27:35 2024
    Driver Version                            : 550.54.14
    CUDA Version                              : 12.4

    Attached GPUs                             : 1
    GPU 00000000:01:00.0
        Temperature
            GPU Current Temp                  : 49 C
            GPU T.Limit Temp                  : N/A
            GPU Shutdown Temp                 : 95 C
            GPU Slowdown Temp                 : 92 C
            GPU Max Operating Temp            : 90 C
            GPU Target Temperature            : 83 C
            Memory Current Temp               : N/A
            Memory Max Operating Temp         : N/A

In order to get just the temperature for use in utilities such as rrdtool or conky:

    $ nvidia-smi --query-gpu=temperature.gpu --format=csv,noheader,nounits

    49

### nvclock

Install the nvclockAUR package.

Note nvclock cannot access thermal sensors on newer NVIDIA cards such as Geforce 200 series cards.

There can be significant differences between the temperatures reported by nvclock and nvidia-settings/nv-control. According to this post by the author (thunderbird) of nvclock, the nvclock values should be more accurate.

## Overclocking and cooling

Warning Overclocking might permanently damage your hardware. You have been warned.

### Enabling overclocking in nvidia-settings

Note

- Some overclocking settings cannot be applied if the Xorg server is running in rootless mode. Consider running Xorg as root.
- You may also need to run nvidia-settings as root.
- Enabling DRM kernel mode setting may cause overclocking to become unavailable, regardless of the Coolbits value.

Depending on the driver version, some overclocking features are enabled by default. Some unsupported overclocking features need to be enabled via the Coolbits option in the `Device` section:

    Option "Coolbits" "value"

Tip The Coolbits option can be easily controlled with the nvidia-xconfig, which manipulates the Xorg configuration files:

    # nvidia-xconfig --cool-bits=value

The Coolbits value is the sum of its component bits in the binary numeral system. The component bits are:

- `8` (bit 3) - Enables additional overclocking settings on the PowerMizer page in nvidia-settings. Available since version 337.12 for the Fermi architecture and newer. [4]
- `16` (bit 4) - Enables overvoltage using nvidia-settings CLI options. Available since version 346.16 for the Fermi architecture and newer. [5]

If you use an unsupported version of the driver, you may also need to use these bits:

- `1` (bit 0) - Enables overclocking of older (pre-Fermi) cores on the Clock Frequencies page in nvidia-settings. Removed in version 343.13.
- `2` (bit 1) - When this bit is set, the driver will "attempt to initialize SLI when using GPUs with different amounts of video memory". Removed in version 470.42.01.
- `4` (bit 2) - Enables manual configuration of GPU fan speed on the Thermal Monitor page in nvidia-settings. Removed in version 470.42.01.

To enable multiple features, add the Coolbits values together. For example, to enable overclocking and overvoltage of Fermi cores, set `Option "Coolbits" "24"`.

The documentation of Coolbits can be found in `/usr/share/doc/nvidia/html/xconfigoptions.html` and here.

Note An alternative is to edit and reflash the GPU BIOS either under DOS (preferred), or within a Win32 environment by way of nvflash and NiBiTor 6.0. The advantage of BIOS flashing is that not only can voltage limits be raised, but stability is generally improved over software overclocking methods such as Coolbits. Fermi BIOS modification tutorial

### Setting static 2D/3D clocks

Use kernel module parameters to enable PowerMizer at its maximum performance level (VSync will not work without this):

    /etc/modprobe.d/nvidia.conf

    options nvidia NVreg_RegistryDwords="PerfLevelSrc=0x2222"

### Lowering GPU boost clocks

With Volta (NV140/GVXXX) GPUs and later, clock boost works in a different way, and maximum clocks are set to the highest supported limit at boot. If that is what you want, then no further configuration is necessary.

The drawback is the lower power efficiency. As the clocks go up, increased voltage is needed for stability, resulting in a nonlinear increase in power consumption, heating, and fan noise. Lowering the boost clock limit will thus increase efficiency.

Boost clock limits can be changed using nvidia-smi, running as root:

- List supported clock rates:

      $ nvidia-smi -q -d SUPPORTED_CLOCKS

- Set GPU boost clock limit to 1695 MHz:

      # nvidia-smi --lock-gpu-clocks=0,1695 --mode=1

- Set Memory boost clock limit to 5001 MHz:

      # nvidia-smi --lock-memory-clocks=0,5001

To optimize for efficiency, use nvidia-smi to check the GPU utilization while running your favorite game. VSync should be on. Lowering the boost clock limit will increase GPU utilization, because a slower GPU will use more time to render each frame. Best efficiency is achieved with the lowest clocks that do not cause the stutter that results when the utilization hits 100%. Then, each frame can be rendered just quickly enough to keep up with the refresh rate.

As an example, using the above settings instead of default on an RTX 3090 Ti, while playing Hitman 3 at 4K@60, reduces power consumption by 30%, temperature from 75 to 63 degrees, and fan speed from 73% to 57%.

### Saving overclocking settings

Typically, clock and voltage offsets inserted in the nvidia-settings interface are not saved, being lost after a reboot. Fortunately, there are tools that offer an interface for overclocking under the proprietary driver, able to save the user's overclocking preferences and automatically applying them on boot. Some of them are:

- gweAUR - graphical, applies settings on desktop session start
- nvclockAUR and systemd-nvclock-unitAUR - graphical, applies settings on system boot
- nvocAUR - text based, profiles are configuration files in `/etc/nvoc.d/`, applies settings on desktop session start

Otherwise, `GPUGraphicsClockOffset` and `GPUMemoryTransferRateOffset` attributes can be set in the command-line interface of nvidia-settings on startup. For example:

    $ nvidia-settings -a "GPUGraphicsClockOffset[performance_level]=offset"
    $ nvidia-settings -a "GPUMemoryTransferRateOffset[performance_level]=offset"

Where `performance_level` is the number of the highest performance level. If there are multiple GPUs on the machine, the GPU ID should be specified: `[gpu:gpu_id]GPUGraphicsClockOffset[performance_level]=offset`.

### Custom TDP limit

The factual accuracy of this article or section is disputed.

Reason: It seems that not all cards support this. Among the 3 cards available to me: a desktop 3080 Ti, a mobile 1650 MaxQ, and a mobile 500 Ada, this only worked on the 3080 Ti; on the two laptops I got "not supported for GPU" warnings. Is this feature unavailable for mobile GPUs? (Discuss in Talk:NVIDIA/Tips and tricks)

Modern NVIDIA graphics cards throttle frequency to stay in their TDP and temperature limits. To increase performance it is possible to change the TDP limit, which will result in higher temperatures and higher power consumption.

For example, to set the power limit to 160.30W:

    # nvidia-smi -pl 160.30

To set the power limit on boot (without driver persistence):

    /etc/systemd/system/nvidia-tdp.timer

    [Unit]
    Description=Set NVIDIA power limit on boot

    [Timer]
    OnBootSec=5

    [Install]
    WantedBy=timers.target

    /etc/systemd/system/nvidia-tdp.service

    [Unit]
    Description=Set NVIDIA power limit

    [Service]
    Type=oneshot
    ExecStart=/usr/bin/nvidia-smi -pl 160.30

Now enable the `nvidia-tdp.timer`.

### Set fan speed at login

The factual accuracy of this article or section is disputed.

Reason: This will not work because manual configuration of GPU fan speed requires running nvidia-settings as root (even if Xorg itself is running as root). (Discuss in Talk:NVIDIA/Tips and tricks)

You can adjust the fan speed on your graphics card with nvidia-settings console interface. First ensure that your Xorg configuration has enabled the bit 2 in the Coolbits option.

Note GeForce 400/500 series cards cannot currently set fan speeds at login using this method. This method only allows for the setting of fan speeds within the current X session by way of nvidia-settings.

Place the following line in your xinitrc file to adjust the fan when you launch Xorg. Replace `n` with the fan speed percentage you want to set.

    nvidia-settings -a "[gpu:0]/GPUFanControlState=1" -a "[fan:0]/GPUTargetFanSpeed=n"

You can also configure a second GPU by incrementing the GPU and fan number.

    nvidia-settings -a "[gpu:0]/GPUFanControlState=1" -a "[fan:0]/GPUTargetFanSpeed=n" \
                    -a "[gpu:1]/GPUFanControlState=1" -a  [fan:1]/GPUTargetFanSpeed=n" &

If you use a login manager such as GDM or SDDM, you can create a desktop entry file to process this setting. Create `~/.config/autostart/nvidia-fan-speed.desktop` and place this text inside it. Again, change `n` to the speed percentage you want.

    [Desktop Entry]
    Type=Application
    Exec=nvidia-settings -a "[gpu:0]/GPUFanControlState=1" -a "[fan:0]/GPUTargetFanSpeed=n"
    X-GNOME-Autostart-enabled=true
    Name=nvidia-fan-speed

Note Before driver version 349.16, `GPUCurrentFanSpeed` was used instead of `GPUTargetFanSpeed`.[6]

To make it possible to adjust the fanspeed of more than one graphics card, run:

    $ nvidia-xconfig --enable-all-gpus
    $ nvidia-xconfig --cool-bits=4

Note On some laptops (including the ThinkPad X1 Extreme and P51/P52), there are two fans, but neither are controlled by nvidia.

### Simple overclocking script using NVML

The Nvidia Management Library (NVML) provides an API that can manage the GPU's core and memory clock offsets and power limit. To utilise this, you can install python-nvidia-ml-py and then use the following Python script with your desired settings. This script needs to be run as root after every restart to re-apply the overclock.

    #!/usr/bin/env python

    from pynvml import *

    nvmlInit()

    # This sets the GPU to adjust - if this gives you errors or you have multiple GPUs, set to 1 or try other values
    myGPU = nvmlDeviceGetHandleByIndex(0)

    # The GPU clock offset value should replace "000" in the line below.
    nvmlDeviceSetGpcClkVfOffset(myGPU, 000)

    # The memory clock offset should be **multiplied by 2** to replace the "000" below
    # For example, an offset of 500 means inserting a value of 1000 in the next line
    nvmlDeviceSetMemClkVfOffset(myGPU, 000)

    # The power limit can be set below in mW - 216W becomes 216000, etc. Remove the below line if you don't want to adjust power limits.
    nvmlDeviceSetPowerManagementLimit(myGPU, 000000)

### Undervolting with NVML

The NVML API also allows undervolting a GPU, which reduces power consumption and temperatures with minimal performance loss or even a slight gain. This might be specially desirable for laptop users.

Note Extreme undervolting can cause major instability issues, and specially if configured directly in the firmware, may render the computer unbootable. Because of this, some motherboards come with an undervolt protection setting, which must be disabled before proceeding (for example, this is the case with the Alienware m16 R1 laptop). Your mileage may vary depending on the motherboard's brand and model. Moreover, undervolting, like overclocking, should be done in small incremental steps, while testing the system's stability in between.

Install python-nvidia-ml-py, create the following script and make it executable:

    /usr/local/bin/nvidia-undervolt.py

    #!/bin/env python

    from pynvml import *
    from ctypes import byref

    nvmlInit()

    # This sets the GPU to adjust - if this gives you errors or you have multiple GPUs, set to 1 or try other values.
    myGPU = nvmlDeviceGetHandleByIndex(0)
    ##print(f"myGPU value: {myGPU}")

    # Get the minimum and maximum power values allowed.
    ##min_power, max_power = nvmlDeviceGetPowerManagementLimitConstraints(myGPU)
    ##print(f"Allowed range: {min_power} mW to {max_power} mW")

    # The power limit can be set below in mW - 216W becomes 216000, etc.
    # This value must be within the minimum and maximum allowed power limits.
    # Remove or comment out the line below if you do not want to adjust power limits.
    nvmlDeviceSetPowerManagementLimit(myGPU, 000000)

    # Define the minimum and maximum clocks allowed.
    # The clocks supported by your GPU can be verified with:
    # nvidia-smi -q -d SUPPORTED_CLOCKS
    nvmlDeviceSetGpuLockedClocks(myGPU,210,2340)

    ####################################
    # ============ P0 State ============
    ####################################

    # ============ Memory ============
    # Uncomment and edit this section if desired.
    # Note: The memory clock offset should be **multiplied by 2**.
    # E.g. a desired offset of 500 means inserting
    # a value of 1000 in the clockOffsetMHz line.

    ##infoMemP0 = c_nvmlClockOffset_t()
    ##infoMemP0.version = nvmlClockOffset_v1
    ##infoMemP0.type = NVML_CLOCK_MEM
    ##infoMemP0.pstate = NVML_PSTATE_0
    ##infoMemP0.clockOffsetMHz = 2000
    ### This offset is simply how much faster your memory will run.
    ### E.g. instead of running at 8000 MHz,
    ### the memory will run at 8000 + (2000 / 2) = 9000 MHz.

    ##nvmlDeviceSetClockOffsets(myGPU, byref(infoMemP0))

    # ============ Graphics =============
    infoGraphicsP0 = c_nvmlClockOffset_t()
    infoGraphicsP0.version = nvmlClockOffset_v1
    infoGraphicsP0.type = NVML_CLOCK_GRAPHICS
    infoGraphicsP0.pstate = NVML_PSTATE_0
    infoGraphicsP0.clockOffsetMHz = 270
    ## What this offset means is: The frequency-voltage
    ## curve is lifted up by 270 MHz.
    ## E.g. the voltage value originally assigned to 2070 MHz
    ## will now be used at 2070 + 270 = 2340 MHz.

    nvmlDeviceSetClockOffsets(myGPU, byref(infoGraphicsP0))

    nvmlShutdown()

The details of the functions used can be read in Section 5.18 of the NVML API documentation. This Reddit post expĺains why the undervolting is done this way, with a clock offset.

This script only applies the undervolt to the GPU's highest P-state. If you want to configure other P-states aside from P0, check this Reddit post for advice.

Note Unfortunately, some GPUs do not support changing the power limit via the NVML API. This can be tested with `nvidia-smi -pl 000` as root. If this happens to you, remove or comment out the power limit section of the script, and as a last resource, you can configure Dynamic Boost.

Run the script manually as root to apply the settings to your GPU and test your configuration. Do not apply your settings permanently unless you have tested them and made sure no problems occur, i.e. your configuration is stable.

After finding a good setup, you need to re-apply it at every boot. One way to do this is with a systemd service:

    /etc/systemd/system/nvidia-undervolt.service

    [Unit]
    Description=Undervolt the NVIDIA GPU

    [Service]
    Type=oneshot
    ExecStart=/usr/local/bin/nvidia-undervolt.py
    StandardOutput=journal
    StandardError=journal

    [Install]
    WantedBy=graphical.target

Finally, enable the service so your settings are applied every time the system boots up.

## Kernel module parameters

This article or section is out of date.

Reason: NVreg_UsePageAttributeTable has been removed from nvidia-open in version 610.43.02 [7] (Discuss in Talk:NVIDIA/Tips and tricks)

Some options can be set as kernel module parameters, a full list can be obtained by running `modinfo nvidia` or looking at `nv-reg.h`. See Gentoo:NVidia/nvidia-drivers#Kernel module parameters as well.

For example, enabling the following will enable the PAT feature [8], which affects how memory is allocated. PAT was first introduced in Pentium III [9] and is supported by most newer CPUs (see wikipedia:Page attribute table#Processors). If your system can support this feature, it should improve performance.

    /etc/modprobe.d/nvidia.conf

    options nvidia NVreg_UsePageAttributeTable=1

On some notebooks, to enable any NVIDIA settings tweaking you must include this option, otherwise it responds with "Setting applications clocks is not supported" etc.

    /etc/modprobe.d/nvidia.conf

    options nvidia NVreg_RegistryDwords="OverrideMaxPerf=0x1"

Note As per Kernel module#Using modprobe.d, you will need to regenerate the initramfs if using early KMS.

## Preserve video memory after suspend

By default the NVIDIA Linux drivers save and restore only essential video memory allocations on system suspend and resume. Quoting NVIDIA:

  The resulting loss of video memory contents is partially compensated for by the user-space NVIDIA drivers, and by some applications, but can lead to failures such as rendering corruption and application crashes upon exit from power management cycles.

Introduced as an "experimental" interface (originally named `NVreg_PreserveVideoMemoryAllocations` in the 430-590 series drivers), it enables saving all video memory (given enough space on disk or RAM). With 595+ drivers, it has been succeeded by the `NVreg_UseKernelSuspendNotifiers=1` kernel module parameter which needs to be set to save and restore all video memory contents.

While NVIDIA does not set these by default, Arch Linux does so for the supported drivers, making preserve work out of the box.

To verify that `NVreg_UseKernelSuspendNotifiers` is enabled, execute the following:

    # sort /proc/driver/nvidia/params

Which should have a line `UseKernelSuspendNotifiers: 1`, and also `TemporaryFilePath: "/var/tmp"`, which you can read about below. Drivers prior 595, should have a line `PreserveVideoMemoryAllocations: 1` for the same.

In the older 430-590 series drivers, the services `nvidia-suspend.service`, `nvidia-hibernate.service`, and `nvidia-resume.service` are required and enabled by default, as per upstream requirements.

The aforementioned services are disabled by default on 595+ drivers, as per upstream requirements, as video memory preservation is now handled by kernel suspend notifiers, making the nvidia suspend/hibernate services unnecessary.

See NVIDIA's documentation for more details.

Note

- When using early KMS, i.e. when the loading of `nvidia` module happens in the initramfs, it has no access to `NVreg_TemporaryFilePath` which stores the previous video memory: early KMS should not be used if hibernation is desired.
- As per Kernel module#Using modprobe.d, you will need to regenerate the initramfs if using early KMS.
- The video memory contents are by upstream default saved to `/tmp`, which is a tmpfs. NVIDIA recommends using an other filesystem to achieve the best performance. This is also required if the size is not sufficient for the amount of memory. Arch Linux thus sets `nvidia.NVreg_TemporaryFilePath=/var/tmp` by default on supported drivers.
- The chosen file system containing the file needs to support unnamed temporary files (e.g. ext4 or XFS) and have sufficient capacity for storing the video memory allocations (i.e. at least 5 percent more than the sum of the memory capacities of all NVIDIA GPUs). Use the command `nvidia-smi --query-gpu=memory.total --format=csv,noheader,nounits` to list the memory capacities of all GPUs in the system.
- When using the 430-590 series drivers, the `nvidia-resume.service` is marked as required by NVIDIA, but it can be optional, as its functionality is also provided by a systemd-sleep(8) hook (`/usr/lib/systemd/system-sleep/nvidia`) and it is invoked automatically. Note that GDM with Wayland however explicitly requires `nvidia-resume.service` to be enabled.

## Dynamic Boost

Dynamic Boost is a system-wide power controller which manages GPU and CPU power, according to the workload on the system. [10]. It can particularly improve performance in GPU-bound applications by raising the power limit accordingly.

The main requirement is laptops with Ampere (or newer) GPUs.

See CPU frequency scaling#nvidia-powerd for detailed instructions.

Tip It would especially help those unable to manually set power limit, see NVIDIA Optimus#Low power usage (TDP).

## Driver persistence

NVIDIA has a daemon that can be optionally run at boot. In a standard single-GPU X desktop environment the persistence daemon is not needed and can actually create issues [11]. See the Driver Persistence section of the NVIDIA documentation for more details.

To start the persistence daemon at boot, enable the `nvidia-persistenced.service`. For manual usage see the upstream documentation.

## Forcing YCbCr with 4:2:0 subsampling

If you are facing limitations of older output standards that can still be mitigated by using YUV 4:2:0, the NVIDIA driver has an undocumented X11 option to enforce that:

    Option "ForceYUV420" "True"

This will allow higher resolutions or refresh rates but will have detrimental impact on the image quality.

## Configure applications to render using GPU

See PRIME#Configure applications to render using GPU.

Categories:

- Graphics
- X server

Hidden categories:

- Pages or sections flagged with Template:Accuracy
- Pages or sections flagged with Template:Out of date

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