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merged 2 commits into from
Feb 27, 2025
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Updates #1433

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c2e67f6
Updates
SherinDaher-Runai Feb 27, 2025
2dc8ad6
Updated quick starts
SherinDaher-Runai Feb 27, 2025
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58 changes: 28 additions & 30 deletions docs/Researcher/scheduling/launching-workloads-with-dynamic-gpu-fractions.md
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Original file line number Diff line number Diff line change
Expand Up @@ -103,7 +103,7 @@ Before you start, make sure:
=== "API"
Copy the following command to your terminal. Make sure to update the below parameters according to the comments. For more details, see [Workspaces API:](https://api-docs.run.ai/latest/tag/Workspaces)

```sh
```bash
curl -L 'https://<COMPANY-URL>/api/v1/workloads/workspaces' \ #<COMPANY-URL> is the link to the Run:ai user interface.
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer <TOKEN>' \ #<TOKEN> is the API access token obtained in Step 1.
Expand All @@ -114,21 +114,20 @@ Before you start, make sure:
"spec": {
"command" : "start-notebook.sh",
"args" : "--NotebookApp.base_url=/${RUNAI_PROJECT}/${RUNAI_JOB_NAME} --NotebookApp.token=''",
"image": "jupyter/scipy-notebook",
"image": "gcr.io/run-ai-lab/pytorch-example-jupyter",
"exposedUrls": [
{
"container": 8888,
"toolType": "jupyter-notebook",
"toolName": "Jupyter"
}
],
"compute": {
"gpuDevicesRequest": 1
"gpuMemoryRequest": "4G",
"gpuMemoryLimit": "12G",
"largeShmRequest": true

},
"exposedUrls" : [
{
"container" : 8888,
"toolType": "jupyter-notebook", \ #toolType will show the Jupyter icon when connecting to the Jupyter tool via the user interface.
"toolName": "Jupyter" \ #toolName text will show when connecting to the Jupyter tool via the user interface.
}
]
"gpuDevicesRequest": 1,
"gpuMemoryRequest": "4G",
"gpuMemoryLimit": "12G",
"largeShmRequest": true
}
}
}'
```
Expand Down Expand Up @@ -172,7 +171,7 @@ Before you start, make sure:
=== "API"
Copy the following command to your terminal. Make sure to update the below parameters according to the comments. For more details, see [Workspaces API](https://api-docs.run.ai/latest/tag/Workspaces):

```sh
```bash
curl -L 'https://<COMPANY-URL>/api/v1/workloads/workspaces' \ #<COMPANY-URL> is the link to the Run:ai user interface.
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer <TOKEN>' \ #<TOKEN> is the API access token obtained in Step 1.
Expand All @@ -183,21 +182,20 @@ Before you start, make sure:
"spec": {
"command" : "start-notebook.sh",
"args" : "--NotebookApp.base_url=/${RUNAI_PROJECT}/${RUNAI_JOB_NAME} --NotebookApp.token=''",
"image": "jupyter/scipy-notebook",
"image": "gcr.io/run-ai-lab/pytorch-example-jupyter",
"exposedUrls": [
{
"container": 8888,
"toolType": "jupyter-notebook",
"toolName": "Jupyter"
}
],
"compute": {
"gpuDevicesRequest": 1
"gpuMemoryRequest": "4G",
"gpuMemoryLimit": "12G",
"largeShmRequest": true

},
"exposedUrls" : [
{
"container" : 8888,
"toolType": "jupyter-notebook", \ #toolType will show the Jupyter icon when connecting to the Jupyter tool via the user interface.
"toolName": "Jupyter" \ #toolName text will show when connecting to the Jupyter tool via the user interface.
}
]
"gpuDevicesRequest": 1,
"gpuMemoryRequest": "4G",
"gpuMemoryLimit": "12G",
"largeShmRequest": true
}
}
}'
```
Expand Down
26 changes: 13 additions & 13 deletions docs/Researcher/scheduling/launching-workloads-with-gpu-fractions.md
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Original file line number Diff line number Diff line change
Expand Up @@ -139,20 +139,20 @@ Before you start, make sure:
"spec": {
"command" : "start-notebook.sh",
"args" : "--NotebookApp.base_url=/${RUNAI_PROJECT}/${RUNAI_JOB_NAME} --NotebookApp.token=''",
"image": "jupyter/scipy-notebook",
"image": "jupyter/base-notebook",
"exposedUrls": [
{
"container": 8888,
"toolType": "jupyter-notebook",
"toolName": "Jupyter"
}
],
"compute": {
"gpuDevicesRequest": 1
"gpuRequestType": "portion",
"gpuPortionRequest": 0.1

},
"exposedUrls" : [
{
"container" : 8888,
"toolType": "jupyter-notebook", \ #toolType will show the Jupyter icon when connecting to the Jupyter tool via the user interface.
"toolName": "Jupyter" \ #toolName text will show when connecting to the Jupyter tool via the user interface.
}
]
"gpuDevicesRequest": 1,
"gpuRequestType": "portion",
"gpuPortionRequest": 0.1

}
}
}'
```
Expand Down
8 changes: 4 additions & 4 deletions docs/Researcher/scheduling/launching-workloads-with-gpu-memory-swap.md
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Original file line number Diff line number Diff line change
Expand Up @@ -103,9 +103,9 @@ Before you start, make sure:
}
],
"compute": {
"gpuDevicesRequest": 1
"gpuDevicesRequest": 1,
"gpuRequestType": "portion",
"gpuPortionRequest": 0.1
"gpuPortionRequest": 0.1,
"gpuPortionLimit": 1,
"cpuCoreRequest":0.2,
"cpuMemoryRequest": "200M",
Expand Down Expand Up @@ -172,9 +172,9 @@ Before you start, make sure:
}
],
"compute": {
"gpuDevicesRequest": 1
"gpuDevicesRequest": 1,
"gpuRequestType": "portion",
"gpuPortionRequest": 0.1
"gpuPortionRequest": 0.1,
"gpuPortionLimit": 1,
"cpuCoreRequest":0.2,
"cpuMemoryRequest": "200M",
Expand Down
2 changes: 1 addition & 1 deletion docs/Researcher/workloads/workspaces/quickstart-jupyter.md
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Original file line number Diff line number Diff line change
Expand Up @@ -40,7 +40,7 @@ Before you start, make sure:

## Step 2: Submitting a workspace

=== "UI
=== "UI"
1. Go to the Workload manager → Workloads
2. Select __+NEW WORKLOAD__ and then __Workspace__
3. Select under which __cluster__ to create the workload
Expand Down