tfgrid/info_tfgrid
30
3
Fork 0
Code Issues Pull Requests 1 Packages Projects Releases Activity

manual, update new pr

Browse Source
This commit is contained in:
Mik-TF 2024-05-14 17:42:30 -04:00
parent be1ef3ba76
commit 599acfde7c
16 changed files with 103 additions and 20 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

3
books/manual/SUMMARY.md
View File

@ -11,7 +11,7 @@
- [Node Finder](dashboard/deploy/node_finder.md)
- [Virtual Machines](dashboard/solutions/vm_intro.md)
- [Micro and Full VM Differences ](dashboard/solutions/vm_differences.md)
- [Full Virtual Machine](dashboard/solutions/fullVm.md)
- [Full Virtual Machine](dashboard/solutions/fullvm.md)
- [Micro Virtual Machine](dashboard/solutions/microvm.md)
- [Nixos MicroVM](dashboard/solutions/nixos_micro.md)
- [Add a Domain](dashboard/solutions/add_domain.md)
@ -254,6 +254,7 @@
- [IPFS on a Micro VM](system_administrators/advanced/ipfs/ipfs_microvm.md)
- [MinIO Operator with Helm3](system_administrators/advanced/minio_helm3.md)
- [AI & ML Workloads](system_administrators/advanced/ai_ml_workloads.md)
- [Hummingbot](system_administrators/advanced/hummingbot.md)
- [ThreeFold Token](threefold_token/threefold_token.md)
- [TFT Bridges](threefold_token/tft_bridges/tft_bridges.md)
- [TFChain-Stellar Bridge](threefold_token/tft_bridges/tfchain_stellar_bridge.md)

2
collections/cloud/grid_billing/grid_billing.md
View File

@ -247,7 +247,7 @@ Contract cost/hour = CU cost/hour + SU cost/hour
### Applying the Dedicated Node Discount
There's a default `50%` discount for renting a node, this discount is not related to the staking discount. For more information on dedicated node discounts, please [read this section](dedicated_machines.md).
There's a default `50%` discount for renting a node, this discount is not related to the staking discount. For more information on dedicated node discounts, please [read this section](dashboard@@node_finder).
```
Cost with 50% discount = 35.72532 * 0.5

4
collections/dashboard/deploy/vm.md
View File

@ -9,5 +9,5 @@ On the TFGrid, you can deploy both micro and full virtual machines.
<h2> Table of Contents </h2>
- [Micro and Full VM Differences ](vm_differences.md)
- [Full Virtual Machine](fullVm.md)
- [Micro Virtual Machine](vm.md)
- [Full Virtual Machine](fullvm.md)
- [Micro Virtual Machine](microvm.md)

4
collections/dashboard/solutions/basic_environments_readme.md
View File

@ -4,8 +4,8 @@
- [Virtual Machines](vm_intro.md)
- [Micro and Full VM Differences ](vm_differences.md)
- [Full Virtual Machine](fullVm.md)
- [Micro Virtual Machine](vm.md)
- [Full Virtual Machine](fullvm.md)
- [Micro Virtual Machine](microvm.md)
- [Kubernetes](k8s.md)
- [NixOS MicroVM](nixos_micro.md)
- [Add a Domain](add_domain.md)

2
collections/dashboard/solutions/fullvm.md
View File

@ -43,7 +43,7 @@ Deploy a new full virtual machine on the Threefold Grid
- `Myceluim` to enable mycelium on the virtual machine
- `Wireguard Access` to add a wireguard access to the Virtual Machine
- `GPU` flag to add GPU to the Virtual machine
- To deploy a Full VM with GPU, you first need to [rent a dedicated node](dashboard@@dedicated_machines)
- To deploy a Full VM with GPU, you first need to [rent a dedicated node](node_finder.md#dedicated-nodes)
- `Dedicated` flag to retrieve only dedicated nodes
- `Certified` flag to retrieve only certified nodes
- Choose the location of the node

2
collections/dashboard/solutions/nextcloud.md
View File

@ -63,7 +63,7 @@ If you're not sure and just want the easiest, most affordable option, skip the p
* **Recommended**: {cpu: 4, memory: 16gb, diskSize: 1000gb }
* Or choose a **Custom** plan
* If want to reserve a public IPv4 address, click on Network then select **Public IPv4**
* If you want a [dedicated](dedicated_machines.md) and/or a certified node, select the corresponding option
* If you want a [dedicated node](node_finder.md#dedicated-nodes) and/or a certified node, select the corresponding option
* Choose the location of the node
* `Country`
* `Farm Name`

4
collections/dashboard/solutions/solutions.md
View File

@ -7,8 +7,8 @@ This section provides a non-code easy way to deploy a whole solution on the TFGr
- [Basic Environments](basic_environments_readme.md)
- [Virtual Machines](vm_intro.md)
- [Micro and Full VM Differences](vm_differences.md)
- [Full Virtual Machine](fullVm.md)
- [Micro Virtual Machine](vm.md)
- [Full Virtual Machine](fullvm.md)
- [Micro Virtual Machine](microvm.md)
- [Kubernetes](k8s.md)
- [NixOS MicroVM](nixos_micro.md)
- [Ready Community Solutions](ready_community_readme.md)

2
collections/farmers/3node_building/gpu_farming.md
View File

@ -65,7 +65,7 @@ You can use the [Node Finder](dashboard@@node_finder) on the [TF Dashboard](http
## Reserving the GPU Node
Now, users can reserve the node in the **Dedicated Nodes** section of the Dashboard and then deploy workloads using the GPU. For more information, read [this documentation](dedicated_machines.md).
Now, users can reserve the node using the **Node Finder** of the Dashboard and then deploy workloads using the GPU. For more information, read [this documentation](dashboard@@node_finder).
## Questions and Feedback

2
collections/farmers/farming_optimization/set_additional_fees.md
View File

@ -11,7 +11,7 @@
## Introduction
Farmers can set additional fees for their 3Nodes on the [TF Dashboard](https://dashboard.grid.tf/). By doing so, users will then be able to [reserve the 3Node and use it as a dedicated node](dashboard@@dedicated_machines).
Farmers can set additional fees for their 3Nodes on the [TF Dashboard](https://dashboard.grid.tf/). By doing so, users will then be able to [reserve the 3Node and use it as a dedicated node](dashboard@@node_finder).
This can be useful for farmers who provide additional values to their 3Nodes, e.g. a GPU card and/or high-quality hardware.
## Steps

3
collections/system_administrators/advanced/advanced.md
View File

@ -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)

2
collections/system_administrators/advanced/ai_ml_workloads.md
View File

@ -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

80
collections/system_administrators/advanced/hummingbot.md Normal file
View File

@ -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.

BIN
collections/system_administrators/advanced/img/hummingbot.png Normal file
View File

Binary file not shown.
Side by Side

After

Width:  |  Height:  |  Size: 27 KiB

6
collections/system_administrators/getstarted/ssh_guide/ssh_wireguard.md
View File

@ -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
```

4
collections/system_administrators/gpu/gpu.md
View File

@ -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)

3
collections/system_administrators/system_administrators.md
View File

@ -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)