manual removed files

collections/manual/documentation/system_administrators/gpu/gpu.md

@@ -1,123 +0,0 @@
-<h1> GPU Support </h1>
-
-<h2> Table of Contents </h2>
-
-- [Introduction](#introduction)
-- [Filter and Reserve a GPU Node](#filter-and-reserve-a-gpu-node)
-  - [Filter Nodes](#filter-nodes)
-  - [Reserve a Node](#reserve-a-node)
-- [Deploy a VM with GPU](#deploy-a-vm-with-gpu)
-- [Install the GPU Driver](#install-the-gpu-driver)
-  - [AMD Driver](#amd-driver)
-  - [Nvidia Driver](#nvidia-driver)
-  - [With an AI Model](#with-an-ai-model)
-- [Troubleshooting](#troubleshooting)
-- [GPU Support Links](#gpu-support-links)
-
-***
-
-## Introduction
-
-This section covers the essential information to deploy a node with a GPU. We also provide links to other parts of the manual covering GPU support.
-
-To use a GPU on the TFGrid, users need to rent a dedicated node. Once they have rented a dedicated node equipped with a GPU, users can deploy workloads on their dedicated GPU node. 
-
-
-## Filter and Reserve a GPU Node
-
-You can filter and reserve a GPU node using the [Dedicated Nodes section](../../dashboard/deploy/dedicated_machines.md) of the **ThreeFold Dashboard**.
-
-### Filter Nodes
-
-* Filter nodes using the vendor name
-  * In **Filters**, select **GPU's vendor name**
-  * A new window will appear below named **GPU'S VENDOR NAME**
-    * Write the name of the vendor desired (e.g. **nvidia**, **amd**)
-
-![image](./img/gpu_8.png)
-
-* Filter nodes using the device name
-  * In **Filters**, select **GPU's device name**
-  * A new window will appear below named **GPU'S DEVICE NAME**
-    * Write the name of the device desired (e.g. **GT218**)
-
-![image](./img/gpu_9.png)
-
-### Reserve a Node
-
-When you have decided which node to reserve, click on **Reserve** under the column **Actions**. Once you've rented a dedicated node that has a GPU, you can deploy GPU workloads.
-
-![image](./img/gpu_2.png)
-
-  
-## Deploy a VM with GPU
-
-Now that you've reserverd a dedicated GPU node, it's time to deploy a VM to make use of the GPU! There are many ways to proceed. You can use the [Dashboard](../../dashboard/solutions/fullVm.md), [Go](../../developers/go/grid3_go_gpu.md), [Terraform](../terraform/terraform_gpu_support.md), etc.
-
-For example, deploying a VM with GPU on the Dashboard is easy. Simply set the GPU option and make sure to select your dedicated node, as show here:
-![image](./img/gpu_3.png)
-
-## Install the GPU Driver
-
-Once you've deployed a VM with GPU, you want to SSH into the VM and install the GPU driver.
-
-- SSH to the VM and get your system updated
-```bash
-dpkg --add-architecture i386
-apt-get update
-apt-get dist-upgrade
-reboot
-```
-- Find your Driver installer
-  - [AMD driver](https://www.amd.com/en/support/linux-drivers)
-  - [Nvidia driver](https://www.nvidia.com/download/index.aspx)
-
-- You can see the node card details on the ThreeFold Dashboard or by using the following command lines:
-```bash
-lspci | grep VGA
-lshw -c video
-```
-
-### AMD Driver
-
-- Download the GPU driver using `wget`
-  - For example: `wget https://repo.radeon.com/amdgpu-install/23.30.2/ubuntu/focal/amdgpu-install_5.7.50702-1_all.deb`
-- Install the GPU driver using `apt-get`. Make sure to update `<VERSION>`.
-```bash
-apt-get install ./amdgpu-install_<VERSION>.deb
-amdgpu-install --usecase="dkms,graphics,opencl,hip,rocm,rocmdev,opencl,hiplibsdk,mllib,mlsdk" --opencl=rocr --vulkan=pro --opengl=mesa
-```
-- To verify that the GPU is properly installed, use the following command lines:
-```bash
-rocm-smi
-rocminfo
-```
-- You should something like this:
-![image](./img/gpu_4.png)
-![image](./img/gpu_5.png)
- 
-### Nvidia Driver
-
-For Nvidia, you can follow [those steps](https://linuxize.com/post/how-to-nvidia-drivers-on-ubuntu-20-04/#installing-the-nvidia-drivers-using-the-command-line).
-- To verify that the GPU is properly installed, you can use `nvidia-smi`. You should something like this:
-
- ![image](./img/gpu_6.png)
- 
-### With an AI Model
-
-You can also try this [AI model](https://github.com/invoke-ai/InvokeAI#getting-started-with-invokeai) to install your driver. 
- 
-## Troubleshooting
-
-Here are some useful links to troubleshoot your GPU installation.
-
-- [Steps to install the driver](https://amdgpu-install.readthedocs.io/en/latest/index.html)
-- Changing kernel version
-  - [Link 1](https://linux.how2shout.com/how-to-change-default-kernel-in-ubuntu-22-04-20-04-lts/)
-  - [Link 2](https://gist.github.com/chaiyujin/c08e59752c3e238ff3b1a5098322b363)
-
-> Note: It is recommended to use Ubuntu 22.04.2 LTS (GNU/Linux 5.18.13-051813-generic x86_64)
-
-## GPU Support Links
-
-You can consult the [GPU Table of Contents](./gpu_toc.md) to see all available GPU support links on the ThreeFold Manual.

collections/manual/documentation/system_administrators/gpu/gpu_toc.md

@@ -1,19 +0,0 @@
-<h1>GPU on the TFGrid</h1>
-
-The ThreeFold Manual covers many ways to use a GPU node on the TFGrid. A good place to start would be the **GPU Introduction** section.
-
-Feel free to explore the different possibilities!
-
-<h2>Table of Contents</h2>
-
-- [GPU Support](./gpu.md)
-- [Node Finder and GPU](../../dashboard/deploy/node_finder.md#gpu-support)
-- [Javascript Client and GPU](../../developers/javascript/grid3_javascript_gpu_support.md)
-- [GPU and Go](../../developers/go/grid3_go_gpu.md)
-  - [GPU Support](../../developers/go/grid3_go_gpu_support.md)
-  - [Deploy a VM with GPU](../../developers/go/grid3_go_vm_with_gpu.md)
-- [TFCMD and GPU](../../developers/tfcmd/tfcmd_vm.md#deploy-a-vm-with-gpu)
-- [Terraform and GPU](../terraform/terraform_gpu_support.md)
-- [Full VM and GPU](../../dashboard/solutions/fullVm.md)
-- [Zero-OS API and GPU](../../developers/internals/zos/manual/api.md#gpus)
-- [GPU Farming](../../farmers/3node_building/gpu_farming.md)