Install and run Anaconda, TensorFlow, PyTorch, and an AI benchmark with a single command. Enjoy NVIDIA RTX, CUDA, and CuDNN-powered performance 5 to 30 times greater than popular Unix® laptops. Develop with the industry-standard PyCharm IDE using the expertly packaged JetBrains Toolbox and desktop integration. This solution only applies to Focus models with NVIDIA GPUs.
Please read the disclaimer before proceeding. We review and update guided solutions regularly. If you have suggestions or requests, please write support@kfocus.org.
kfocus-conda
Run the app from either the curated app icon,
Start Menu > Kubuntu Focus Tools > Anaconda GPU AI Suite Installer
, or open a terminal and enter kfocus-conda
. This installs a GPU-accelerated and professionally vetted Anaconda
suite. It will ask you if you'd like to install the following environments:
(GPU)
Jupyter Notebook(GPU)
PyTorch(GPU)
TensorFlow(GPU)
TheanoKfocus Conda will not overwrite or delete data unless you tell it to do so. You may run it again to add environments as needed. For example, you may install only TensorFlow
at first and then add PyTorch
later. Run the AI suite at the end to compare to the results shown in the Benchmarks section.
When you wish to build on these Conda environments, we recommend using Pycharm. You may install this with the JetBrains Toolbox installed on all Kubuntu Focus laptops.
You can change the GPU used for your displays using the GPU Widget found in the system tray. When you use Nvidia GPU (Performance Mode)
, every display pixel consumes additional VRAM. Total display VRAM may exceed 2 GB. Run watch nvidia-smi
in a terminal to see VRAM use.
Sometimes you may want to use all VRAM for a pipeline so it can complete or run faster. The best solution is to click on Switch to Intel GPU (Power Save Mode)
. This will free all VRAM by using the iGPU and system RAM for the display. Only the primary laptop display may be available, although some models support a second display with DisplayPort.
If you need to drive more displays, you can Switch to Hybrid GPU (On-Demand Mode)
as shown here. Remember to switch back when you are done!
You may run comprehensive TensorFlow benchmarks at the end of the Kfocus Conda script. Please compare to the official results. All tests are current as of June 2023.
Results[1,2,3] | RTX 4090 M[2] | RTX 4080 M | RTX 4070 M | RTX 3080 Ti M | RTX 4060 M | RTX 3070 Ti M | RTX 3060 M |
---|---|---|---|---|---|---|---|
Inference | 26,263 | 21,077 | 13,343 | 14,245 | 11,843 | 13,153 | 10,265 |
Training | 31,791 | 25,201 | 15,872 | 16,034 | 14,164 | 14,782 | 11,806 |
AI Score | 58,054 | 46,277 | 29,215 | 30,279 | 26,007 | 27,935 | 22,071 |
Video RAM | 16 GB | 12 GB | 8 GB | 16 GB | 8 GB | 8 GB | 6 GB |
[1] See official comparison chart
[2] All 40-series from Kubuntu Focus M2GEN 5
[3] All 30-series from Kubuntu Focus M2GEN 4
Q: Starting NVIDIA Visual Profiler results in an error. How can I fix this?
A: One must install Java 8 and then call nvvp
with the correct path.
Q: I booted my Kubuntu Focus, and it never got past the splash screen. How do I fix this?
A: NVIDIA Settings
and other applications may ask you to save an xorg.conf
file. This action could disable your internal display after logout or restart, blocking your login. If this happens, we recommend you remove this file:
[CTRL][ALT][F3]
simultaneously.sudo /bin/rm /etc/X11/xorg.conf
, type your password when prompted.sudo systemctl restart sddm && exit
.After you have completed the above steps, you should be able to log in normally.
Q: I see some library errors when installing Anaconda. What can I do?
A: Focus systems with NVIDIA GPUs ship with OpenGL and Vulkan libraries installed. When you run the KFocus Conda script, it will prompt you to download and install additional libraries, such as CUDA and CuDNN. Ensure you have a fast internet connection, as the download can be quite large. If you still receive these errors, you can cancel, run the FocusRx System Repair tool, and then try again.
This is a partial revision history. See the git
repository for all entries.
2025-04-19 274c0ff1
Update grammar and content per audit2025-04-06 a2c572b2
Update language and add icon2025-02-26 2eaebe3b
Normalize app names, descriptions, keywords, fix typos and minor issues2024-12-06 35123b93
Update reinstall, hints widget2024-10-04 7b76e6ca
Update deep scores, battery reset2024-09-10 73fcff02
Finalize Lightbox and doc update2024-09-05 14887652
Major Lightbox updates, fix some out-of-date documentation2024-08-23 297b11df
Fix image href; update to bold orange text2024-08-19 57a2389d
Add white theme2024-07-28 ee7b4601
Update metadata content, collapsable sections, lightbox2024-07-26 7814a97d
Sync primary images between guided solutions slideshow and articles2024-07-16 e9155e41
Merge master link fixes2024-07-07 39d71fcd
Add Git hash to revisions2024-06-06 ad0fcf25
Update for Noble2024-03-18 fb9b592d
Add syntax highlighting for codeblocks2023-11-18 e770b1c6
Add search and help bar2023-10-18 fac730e3
Enhance VRAM usage advice2023-06-19 a7af817b
Update RTX 40-series benches, add image, revise VRAM text2023-05-18 1a4bd7dc
Move focusrx to troubleshooting2023-05-18 1a4bd7dc
Added M2 GEN 4 details in benchmark2023-05-18 0e693861
Refine opening language2023-04-16 1bc15058
Update display advice concerning iGPU Intel2022-06-11 b304575d
Change spelling from MaxQ to Max-Q2022-01-16 3ae944e8
Fix HTML Entities; replace dist-upgrade with full-upgrade2021-11-07 3e32a343
Update table to current2021-10-10 5728326e
Reformat to 2-column2021-09-22 dc862884
Update link and headline colors2021-08-23 681261b4
Review and update codeblocks2021-08-19 b994dd79
Add keywords for hybrid graphics mode2021-03-07 e3c1285d
Revise conda launch guide, update styles2020-09-28 5d089610
Update to M2 scores2020-06-10 c4ed9299
Restructure layout2020-05-25 581c6523
Expand benchmarks2020-05-20 d00295d7
Add Library check2020-05-18 8c4b5b82
Add GPU library fix2020-05-15 0684cd5c
Add benchmark2020-02-18 a4d437c5
Add conda script2020-01-31 70b4aa40
First publicationWe try hard to provide a useful solution validated by professionals. However, we cannot anticipate every situation, and therefore cannot guarantee this procedure will work for your needs. Always backup your data and test the solution to determine the correct procedure for you.
THIS SOLUTION IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOLUTION, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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