Setup Nvidia Cuda Core Runner Basic Issues

0:01 Intro
0:24 Downloading Cuda based images from the Dockerhub
0:33 Libraries, which are operating systems in the process
0:39 Different Versions of Nvidia Cuda
0:47 Challenge, working on Cuda 9 [Version 11]
[Different Operating systems and different architectures]
1:00 Deploying the Cuda based architecture
1:17 Communicating with the team working in the company
1:27 Understanding the Libraries [Part of action]
1:50 Create a reusable environment
2:02 Make a readme file [Important Process]
2:46 Google search : no Cuda capable device
3:05 Remove dependency from the software and the hardware
3:34 Docker Projects
3:45 Create a Docker file, build server and build the image, why are we building
on our site
3:56 GPU based containers [ubuntu machine]
4:13 Three machines that are required[runner, builder, worker]
4:41 Hardware
4:55 Different Perspective & Pycuda
5:20 Nvidia Container runtime abilities
5:43 Documentation about the Nvidia container runtime[cuda base libraries, GPU dependent
drivers dependent libraries]
6:09 Cuda Installation
6:35 Docker files just built to run the GPU's for Nvidia
6:43 Errors : Couldn't build wheels for Pycuda, which is required to install pyproject.toml
based projects
6:53 Two ways to solve a problem [solve each problem at a time]
7:57 Do a git pull [On worker, on the builder, as well as on the runner]
Environments that need git pull
8:14 Copy pasting the files can make lots of errors [Linux to Ubuntu with Windows to
mac operating systems]
9:02 Numpy related errors
9:45 Building the files on a builder as well as on a workstation
10:51 Use the layering system in docker
11:02 Working on a workstation without the Nvidia drivers and GPU based libraries
11:18 Start with workstation using the layering system on your workstation
12:16 Don't build the stuff on your workstation if you don't have the necessary hardware or
the drivers installed
12:41 Errors: While moving the files from Linux based system to windows system, the Windows
system to a Linux-based system.
13:06 Linux box, Linux system, GPU based containers
14:09 End of the line arguments
14:15 Rebuild the system

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