Complete day-long jobs in 30 minutes. Accelerate Deep Learning up to 20 times (2,000%) the performance of other popular laptops at half the cost. And the Focus has a real-world battery life that can exceed 5 hours.
Please read the disclaimer before proceeding. This workflow is updated regularly. Please write authorship with suggestions or requests.
The Focus comes with Nvidia drivers and CUDA drivers tuned to provide excellent deep-learning and gaming performance. However, adding repositories or packages can modify these drivers which can break the deep learning GPU support, Steam and other games, or both. Use the procedure below to check and reset these libraries:
Use kfocus-001-conda to install an Anaconda suite
which is professionally vetted, comprehensive, and GPU accelerated.
Open a terminal and enter the following:
Then follow the prompts. The CUDA 10.0 and 10.1 librares are pre-installed. You will be prompted to consider installing these additional components:
Tests are run at the end of kfocus-001-conda
script. This script is non-destructive and can be re-run at any time.
Pycharm is an excellent IDE for Python and may be installed through the Jetbrains toolbox which is pre-installed on all Focus laptops.
Comprehensive TensorFlow benchmarks can be run at the end of the
kfocus-001-conda script. Please compare to the official
results.
| RTX 2080 | RTX 2070 | RTX 2060 | Titan X [1] | Titan XP W10 [1] | Titan XP [1] | |
|---|---|---|---|---|---|---|
| Interface | 8,997 | 8,295 | 7,665 | 7,443 | 9,741 | 11,948 |
| Training | 9,272 | 8,824 | 8,232 | 7,908 | 10,375 | 12,922 |
| AI Score | 18,269 | 17,119 | 15,897 | 15,351 | 20,089 | 24,870 |
[1] Desktop GPU
This is a minimal revision history. More details are found in
git repository.
2020-05-25 581c6523 Expand benchmarks2020-05-20 d00295d7 Add Library check2020-05-18 8c4b5b82 GPU library fixup, troubleshooting,
benchmark2020-05-15 0684cd5c Add benchmark section2020-05-15 2fbce101 Section redesign2020-05-07 f1e239fe Fix purpose paragraph, change
title2020-05-06 07b707c2 Revise content and images2020-04-26 6c48c84b Restructure2020-03-20 d1338e9a Clarify competitive notebook2020-03-14 4aed47f5 Update purpose and overview2020-03-10 f3ed896f Update title and shortcut icon2020-03-05 87cad77a Update title2020-02-18 a4d437c5 Add kfocus-001-conda script2020-01-31 70b4aa40 Initial documentWe try hard to provide a useful workflow validated by professionals. However, we cannot anticipate every situation, and therefore cannot guarantee this procedure will work for your needs. Always back up your data and test the workflow to determine the correct procedure for you.
THIS WORKFLOW 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 WORKFLOW, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.