manual, update new pr

collections/system_administrators/advanced/advanced.md

@@ -13,4 +13,5 @@ In this section, we delve into sophisticated topics and powerful functionalities
   - [IPFS on a Full VM](ipfs_fullvm.md)
   - [IPFS on a Micro VM](ipfs_microvm.md)
 - [MinIO Operator with Helm3](minio_helm3.md)
-- [AI & ML Workloads](ai_ml_workloads.md)
+- [AI & ML Workloads](ai_ml_workloads.md)
+- [Hummingbot](hummingbot.md)

collections/system_administrators/advanced/ai_ml_workloads.md

@@ -23,7 +23,7 @@ In the second part, we show how to use PyTorch to run AI/ML tasks.
 
 ## Prerequisites
 
-You need to reserve a [dedicated GPU node](../../dashboard/deploy/node_finder.md#dedicated-nodes) on the ThreeFold Grid.
+You need to reserve a [dedicated GPU node](dashboard@@node_finder) on the ThreeFold Grid.
 
 ## Prepare the System
 

collections/system_administrators/advanced/hummingbot.md

@@ -0,0 +1,80 @@
+<h1> Hummingbot on a Full VM </h1>
+
+<h2>Table of Contents</h2>
+
+- [Introduction](#introduction)
+- [Prerequisites](#prerequisites)
+- [Deploy a Full VM](#deploy-a-full-vm)
+- [Preparing the VM](#preparing-the-vm)
+- [Setting Hummingbot](#setting-hummingbot)
+- [References](#references)
+
+---
+
+## Introduction
+
+Hummingbot is an open source platform that helps you design, backtest, and deploy fleets of automated crypto trading bots.
+
+In this guide, we go through the basic steps to deploy a [Hummingbot](https://hummingbot.org/) instance on a full VM running on the TFGrid.
+
+
+## Prerequisites
+
+- [A TFChain account](../../../dashboard/wallet_connector.md)
+- TFT in your TFChain account
+  - [Buy TFT](../../../threefold_token/buy_sell_tft/buy_sell_tft.md)
+  - [Send TFT to TFChain](../../../threefold_token/tft_bridges/tfchain_stellar_bridge.md)
+
+## Deploy a Full VM
+
+We start by deploying a full VM on the ThreeFold Dashboard.
+
+* On the [Threefold Dashboard](https://dashboard.grid.tf/#/), go to the [full virtual machine deployment page](https://dashboard.grid.tf/#/deploy/virtual-machines/full-virtual-machine/)
+* Deploy a full VM (Ubuntu 22.04) with an IPv4 address and at least the minimum specs for Hummingbot
+  * IPv4 Address
+  * Minimum vcores: 1vcore
+  * Minimum MB of RAM: 4096GB
+  * Minimum storage: 15GB
+* After deployment, note the VM IPv4 address
+* Connect to the VM via SSH
+  * ``` 
+    ssh root@VM_IPv4_address
+    ```
+
+## Preparing the VM
+
+We prepare the full to run Hummingbot.
+
+* Update the VM
+   ```
+   apt update
+   ```
+* [Install Docker](../computer_it_basics/docker_basics.html#install-docker-desktop-and-docker-engine)
+
+## Setting Hummingbot
+
+We clone the Hummingbot repo and start it via Docker.
+
+* Clone the Hummingbot repository
+   ```
+   git clone https://github.com/hummingbot/hummingbot.git
+   cd hummingbot
+   ```
+* Start Hummingbot
+   ```
+   docker compose up -d
+   ```
+* Attach to instance
+   ```
+   docker attach hummingbot
+   ```
+
+You should now see the Hummingbot page.
+
+![](./img/hummingbot.png)
+
+## References
+
+The information to install Hummingbot have been taken directly from their [documentation](https://hummingbot.org/installation/docker/).
+
+For any advanced configurations, you may refer to the Hummingbot documentation.

collections/system_administrators/getstarted/ssh_guide/ssh_wireguard.md

@@ -25,7 +25,7 @@ Note that WireGuard provides the connection to the 3Node deployment. It is up to
 
 # Prerequisites
 
-Make sure to [read the introduction](../tfgrid3_getstarted.md#get-started---your-first-deployment) before going further.
+Make sure to [read the introduction](tfgrid3_getstarted.md#get-started---your-first-deployment) before going further.
 
 * SSH client of your choice
   * [Open-SSH](ssh_openssh.md)
@@ -36,7 +36,7 @@ Make sure to [read the introduction](../tfgrid3_getstarted.md#get-started---your
 
 # Deploy a Weblet with WireGuard Access
 
-For this guide on WireGuard access, we deploy a [Full VM](fullVm.md). Note that the whole process is similar with other types of ThreeFold weblets on the Dashboard.
+For this guide on WireGuard access, we deploy a [Full VM](dashboard@fullvm). Note that the whole process is similar with other types of ThreeFold weblets on the Dashboard.
 
 * On the [Threefold Dashboard](https://dashboard.grid.tf/), go to: Deploy -> Virtual Machines -> Full Virtual Machine
 * Choose the parameters you want
@@ -102,7 +102,7 @@ To set the WireGuard connection on Windows, add and activate a tunnel with the W
 
 # Test the WireGuard Connection
 
-As a test, you can [ping](../../computer_it_basics/cli_scripts_basics.md#test-the-network-connectivity-of-a-domain-or-an-ip-address-with-ping) the virtual IP address of the VM to make sure the WireGuard connection is properly established. Make sure to replace `VM_WireGuard_IP` with the proper WireGuard IP address:
+As a test, you can [ping](cli_scripts_basics.md#test-the-network-connectivity-of-a-domain-or-an-ip-address-with-ping) the virtual IP address of the VM to make sure the WireGuard connection is properly established. Make sure to replace `VM_WireGuard_IP` with the proper WireGuard IP address:
 
 * Ping the deployment
     ```

collections/system_administrators/gpu/gpu.md

@@ -25,7 +25,7 @@ To use a GPU on the TFGrid, users need to rent a dedicated node. Once they have
 
 ## Filter and Reserve a GPU Node
 
-You can filter and reserve a GPU node using the [Dedicated Nodes section](dashboard@@dedicated_machines) of the **ThreeFold Dashboard**.
+You can filter and reserve a GPU node using the [Dedicated Nodes section](dashboard@@node_finder) of the **ThreeFold Dashboard**.
 
 ### Filter Nodes
 
@@ -52,7 +52,7 @@ When you have decided which node to reserve, click on **Reserve** under the colu
   
 ## 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](fullVm.md), [Go](developers@@grid3_go_gpu), [Terraform](terraform_gpu_support.md), etc.
+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](fullvm.md), [Go](developers@@grid3_go_gpu), [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)

collections/system_administrators/system_administrators.md

@@ -83,4 +83,5 @@ For complementary information on ThreeFold grid and its cloud component, refer t
       - [IPFS on a Full VM](ipfs_fullvm.md)
       - [IPFS on a Micro VM](ipfs_microvm.md)
   - [MinIO Operator with Helm3](minio_helm3.md) 
-  - [AI & ML Workloads](ai_ml_workloads.md)
+  - [AI & ML Workloads](ai_ml_workloads.md)
+  - [Hummingbot](hummingbot.md)