Making Python GPU tasks to succeed - User side

Currently, Python apps for GPU hosts developer Abouh is trying to make the app to succeed at as much hosts as possible.
The official Thread is this Experimental Python tasks (beta) - task description

Here, I'm sharing what I've made from my "User side" to get these tasks to consistently succeed at all my requirements-complying Ubuntu Linux hosts.
Basically, I'm unifying in one post, along with my own experiences, many spreaded advices coming from developer abouh and several other kind users as Richard Haselgrove, Keith Myers, Ian&Steve C., mmonnin...

The first you have to know is that this app is currently available for Linux hosts only.
You can follow up the launch of eventual new versions at Gpugrid Apps page, section Python apps for GPU hosts
If you are running under any other operating system than any Linux distribution, you can stop reading. Or you can take the opportunity to explore the Linux world by installing it at any of your hosts before continuing ;-)

And it is currently an app under development and debugging. Therefore, for receiving tasks it's necessary that in your Gpugrid preferences page you have selected to Run test applications and the Python Runtime (GPU, beta) app itself at your host's venue.

Now, system hardware requirements are to be taken in mind.
I've found to be limiting:

-1) System RAM must be at least 16 GB for each ABOU Python GPU task in execution.
If your system has one only GPU, then 16 GB of system RAM should be enough.
If the system has two GPUs installed and two ABOU Python GPU tasks are being concurrently executed, then the minimum system RAM should be 32 GB... And so on.
If you are thinking about upgrading your system RAM to meet these requirements (as I had to do for my hosts), I published a how-to at post Upgrading system RAM, It's easy

-2) Graphics card based in a Nvidia GPU with at least 4 GB of dedicated RAM is needed.

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And now, in sequence, I'm relating every of the actions that I've taken so far.

-1) Editing boinc-client.service

I executed the command:

sudo systemctl edit boinc-client.service

[Service]
PrivateTmp=true

INTERNAL ERROR: cannot create temporary directory!

sudo apt install python-is-python3
sudo apt install python3-pip

sudo apt install cmake

sudo apt autoremove

Today I've brought to executing Python GPU tasks two more of my hosts, using the same method previously related.
For making them compliant, I upgraded system RAM from previous 8 GB to 16 GB on both hosts.

However, they are likely borderline in hardware requirements:

- Test Host #540272 is based on a GTX 1060 GPU with 3 GB GDDR, below my previously validated minimum size of 4GB.

- Host #482132 is based on a GTX 1050 Ti GPU with 4 GB GDDR, but CPU is a quite old Intel Core 2 Quad Q9550S @2,83 MHz, socket 775, DDR3 RAM.

For the moment, both hosts are processing their first tasks for more than two hours. Time will show whether they're successful or not... ⏳️

First of all, thank you for consolidating this information. It is very helpful to have this all in one place instead of following through several threads and piecing it together.

Next, just for my case, I did not have to do all the steps you have to get my host to work. I am working from Linux Mint that I keep up to date/latest version. All worked on my system from the start for these WUs. Just another data point...

And I agree with the 16 GB RAM requirement. It might also be useful to note here that these WUs also use multiple CPU cores/threads. As noted on the other discussion, they seem to use whatever is available.

- Test Host #540272 is based on a GTX 1060 GPU with 3 GB GDDR, below my previously validated minimum size of 4GB.

- Host #482132 is based on a GTX 1050 Ti GPU with 4 GB GDDR, but CPU is a quite old Intel Core 2 Quad Q9550S @2,83 MHz, socket 775, DDR3 RAM.