manual, update new pr
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@ -11,7 +11,7 @@
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- [Node Finder](dashboard/deploy/node_finder.md)
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- [Virtual Machines](dashboard/solutions/vm_intro.md)
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- [Micro and Full VM Differences ](dashboard/solutions/vm_differences.md)
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- [Full Virtual Machine](dashboard/solutions/fullVm.md)
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- [Full Virtual Machine](dashboard/solutions/fullvm.md)
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- [Micro Virtual Machine](dashboard/solutions/microvm.md)
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- [Nixos MicroVM](dashboard/solutions/nixos_micro.md)
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- [Add a Domain](dashboard/solutions/add_domain.md)
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@ -254,6 +254,7 @@
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- [IPFS on a Micro VM](system_administrators/advanced/ipfs/ipfs_microvm.md)
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- [MinIO Operator with Helm3](system_administrators/advanced/minio_helm3.md)
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- [AI & ML Workloads](system_administrators/advanced/ai_ml_workloads.md)
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- [Hummingbot](system_administrators/advanced/hummingbot.md)
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- [ThreeFold Token](threefold_token/threefold_token.md)
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- [TFT Bridges](threefold_token/tft_bridges/tft_bridges.md)
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- [TFChain-Stellar Bridge](threefold_token/tft_bridges/tfchain_stellar_bridge.md)
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@ -247,7 +247,7 @@ Contract cost/hour = CU cost/hour + SU cost/hour
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### Applying the Dedicated Node Discount
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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).
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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).
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```
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Cost with 50% discount = 35.72532 * 0.5
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@ -9,5 +9,5 @@ On the TFGrid, you can deploy both micro and full virtual machines.
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<h2> Table of Contents </h2>
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- [Micro and Full VM Differences ](vm_differences.md)
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- [Full Virtual Machine](fullVm.md)
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- [Micro Virtual Machine](vm.md)
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- [Full Virtual Machine](fullvm.md)
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- [Micro Virtual Machine](microvm.md)
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@ -4,8 +4,8 @@
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- [Virtual Machines](vm_intro.md)
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- [Micro and Full VM Differences ](vm_differences.md)
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- [Full Virtual Machine](fullVm.md)
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- [Micro Virtual Machine](vm.md)
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- [Full Virtual Machine](fullvm.md)
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- [Micro Virtual Machine](microvm.md)
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- [Kubernetes](k8s.md)
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- [NixOS MicroVM](nixos_micro.md)
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- [Add a Domain](add_domain.md)
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@ -43,7 +43,7 @@ Deploy a new full virtual machine on the Threefold Grid
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- `Myceluim` to enable mycelium on the virtual machine
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- `Wireguard Access` to add a wireguard access to the Virtual Machine
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- `GPU` flag to add GPU to the Virtual machine
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- To deploy a Full VM with GPU, you first need to [rent a dedicated node](dashboard@@dedicated_machines)
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- To deploy a Full VM with GPU, you first need to [rent a dedicated node](node_finder.md#dedicated-nodes)
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- `Dedicated` flag to retrieve only dedicated nodes
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- `Certified` flag to retrieve only certified nodes
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- Choose the location of the node
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@ -63,7 +63,7 @@ If you're not sure and just want the easiest, most affordable option, skip the p
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* **Recommended**: {cpu: 4, memory: 16gb, diskSize: 1000gb }
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* Or choose a **Custom** plan
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* If want to reserve a public IPv4 address, click on Network then select **Public IPv4**
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* If you want a [dedicated](dedicated_machines.md) and/or a certified node, select the corresponding option
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* If you want a [dedicated node](node_finder.md#dedicated-nodes) and/or a certified node, select the corresponding option
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* Choose the location of the node
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* `Country`
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* `Farm Name`
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@ -7,8 +7,8 @@ This section provides a non-code easy way to deploy a whole solution on the TFGr
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- [Basic Environments](basic_environments_readme.md)
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- [Virtual Machines](vm_intro.md)
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- [Micro and Full VM Differences](vm_differences.md)
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- [Full Virtual Machine](fullVm.md)
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- [Micro Virtual Machine](vm.md)
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- [Full Virtual Machine](fullvm.md)
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- [Micro Virtual Machine](microvm.md)
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- [Kubernetes](k8s.md)
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- [NixOS MicroVM](nixos_micro.md)
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- [Ready Community Solutions](ready_community_readme.md)
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@ -65,7 +65,7 @@ You can use the [Node Finder](dashboard@@node_finder) on the [TF Dashboard](http
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## Reserving the GPU Node
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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).
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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).
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## Questions and Feedback
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## Introduction
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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).
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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).
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This can be useful for farmers who provide additional values to their 3Nodes, e.g. a GPU card and/or high-quality hardware.
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## Steps
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@ -13,4 +13,5 @@ In this section, we delve into sophisticated topics and powerful functionalities
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- [IPFS on a Full VM](ipfs_fullvm.md)
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- [IPFS on a Micro VM](ipfs_microvm.md)
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- [MinIO Operator with Helm3](minio_helm3.md)
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- [AI & ML Workloads](ai_ml_workloads.md)
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- [AI & ML Workloads](ai_ml_workloads.md)
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- [Hummingbot](hummingbot.md)
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@ -23,7 +23,7 @@ In the second part, we show how to use PyTorch to run AI/ML tasks.
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## Prerequisites
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You need to reserve a [dedicated GPU node](../../dashboard/deploy/node_finder.md#dedicated-nodes) on the ThreeFold Grid.
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You need to reserve a [dedicated GPU node](dashboard@@node_finder) on the ThreeFold Grid.
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## Prepare the System
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<h1> Hummingbot on a Full VM </h1>
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<h2>Table of Contents</h2>
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- [Introduction](#introduction)
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- [Prerequisites](#prerequisites)
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- [Deploy a Full VM](#deploy-a-full-vm)
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- [Preparing the VM](#preparing-the-vm)
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- [Setting Hummingbot](#setting-hummingbot)
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- [References](#references)
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---
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## Introduction
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Hummingbot is an open source platform that helps you design, backtest, and deploy fleets of automated crypto trading bots.
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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.
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## Prerequisites
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- [A TFChain account](../../../dashboard/wallet_connector.md)
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- TFT in your TFChain account
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- [Buy TFT](../../../threefold_token/buy_sell_tft/buy_sell_tft.md)
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- [Send TFT to TFChain](../../../threefold_token/tft_bridges/tfchain_stellar_bridge.md)
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## Deploy a Full VM
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We start by deploying a full VM on the ThreeFold Dashboard.
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* 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/)
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* Deploy a full VM (Ubuntu 22.04) with an IPv4 address and at least the minimum specs for Hummingbot
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* IPv4 Address
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* Minimum vcores: 1vcore
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* Minimum MB of RAM: 4096GB
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* Minimum storage: 15GB
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* After deployment, note the VM IPv4 address
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* Connect to the VM via SSH
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* ```
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ssh root@VM_IPv4_address
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```
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## Preparing the VM
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We prepare the full to run Hummingbot.
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* Update the VM
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```
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apt update
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```
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* [Install Docker](../computer_it_basics/docker_basics.html#install-docker-desktop-and-docker-engine)
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## Setting Hummingbot
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We clone the Hummingbot repo and start it via Docker.
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* Clone the Hummingbot repository
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```
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git clone https://github.com/hummingbot/hummingbot.git
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cd hummingbot
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```
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* Start Hummingbot
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```
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docker compose up -d
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```
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* Attach to instance
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```
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docker attach hummingbot
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```
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You should now see the Hummingbot page.
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![](./img/hummingbot.png)
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## References
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The information to install Hummingbot have been taken directly from their [documentation](https://hummingbot.org/installation/docker/).
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For any advanced configurations, you may refer to the Hummingbot documentation.
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collections/system_administrators/advanced/img/hummingbot.png
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# Prerequisites
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Make sure to [read the introduction](../tfgrid3_getstarted.md#get-started---your-first-deployment) before going further.
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Make sure to [read the introduction](tfgrid3_getstarted.md#get-started---your-first-deployment) before going further.
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* SSH client of your choice
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* [Open-SSH](ssh_openssh.md)
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@ -36,7 +36,7 @@ Make sure to [read the introduction](../tfgrid3_getstarted.md#get-started---your
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# Deploy a Weblet with WireGuard Access
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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.
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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.
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* On the [Threefold Dashboard](https://dashboard.grid.tf/), go to: Deploy -> Virtual Machines -> Full Virtual Machine
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* Choose the parameters you want
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@ -102,7 +102,7 @@ To set the WireGuard connection on Windows, add and activate a tunnel with the W
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# Test the WireGuard Connection
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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:
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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:
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* Ping the deployment
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```
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## Filter and Reserve a GPU Node
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You can filter and reserve a GPU node using the [Dedicated Nodes section](dashboard@@dedicated_machines) of the **ThreeFold Dashboard**.
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You can filter and reserve a GPU node using the [Dedicated Nodes section](dashboard@@node_finder) of the **ThreeFold Dashboard**.
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### Filter Nodes
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## Deploy a VM with GPU
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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.
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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.
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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:
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![image](./img/gpu_3.png)
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- [IPFS on a Full VM](ipfs_fullvm.md)
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- [IPFS on a Micro VM](ipfs_microvm.md)
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- [MinIO Operator with Helm3](minio_helm3.md)
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- [AI & ML Workloads](ai_ml_workloads.md)
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- [AI & ML Workloads](ai_ml_workloads.md)
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- [Hummingbot](hummingbot.md)
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