tfgrid/info_tfgrid
33
3
Fork 0
Code Issues Pull Requests 2 Packages Projects Releases Activity

manual set urls for external collection

Browse Source
This commit is contained in:
Mik-TF
2024-05-13 19:10:10 -04:00
parent a4efec1aa3
commit 280652166f
40 changed files with 79 additions and 80 deletions
Download Patch File Download Diff File Expand all files Collapse all files

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/deploy/dedicated_machines.md) of the **ThreeFold Dashboard**.
You can filter and reserve a GPU node using the [Dedicated Nodes section](dashboard@@dedicated_machines) 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](../../dashboard/solutions/fullVm.md), [Go](../../developers/go/grid3_go_gpu.md), [Terraform](../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](../../dashboard/solutions/fullVm.md), [Go](developers@@grid3_go_gpu), [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)