diff --git a/docs/webapp/applications/apps_model_deployment.md b/docs/webapp/applications/apps_model_deployment.md
index cf04f68c..03018ca3 100644
--- a/docs/webapp/applications/apps_model_deployment.md
+++ b/docs/webapp/applications/apps_model_deployment.md
@@ -1,25 +1,25 @@
---
-title: Model Deployment
+title: vLLM Model Deployment
---
:::important Enterprise Feature
The Model Deployment App is available under the ClearML Enterprise plan.
:::
-The Model Deployment application enables users to quickly deploy LLM models as networking services over a secure
+The vLLM Model Deployment application enables users to quickly deploy LLM models as networking services over a secure
endpoint. This application supports various model configurations and customizations to optimize performance and resource
-usage. The Model Deployment application serves your model on a machine of your choice. Once an app instance is running,
+usage. The vLLM Model Deployment application serves your model on a machine of your choice. Once an app instance is running,
it serves your model through a secure, publicly accessible network endpoint. The app monitors endpoint activity and
shuts down if the model remains inactive for a specified maximum idle time.
:::info AI Application Gateway
-The Model Deployment app makes use of the ClearML Traffic Router which implements a secure, authenticated
+The vLLM Model Deployment app makes use of the ClearML Traffic Router which implements a secure, authenticated
network endpoint for the model.
If the ClearML AI application Gateway is not available, the model endpoint might not be accessible.
:::
-Once you start a Model Deployment instance, you can view the following information in its dashboard:
+Once you start a vLLM Model Deployment instance, you can view the following information in its dashboard:
* Status indicator
*
- App instance is running and is actively in use
*
- App instance is setting up
@@ -45,11 +45,11 @@ Once you start a Model Deployment instance, you can view the following informati
* Console log - The console log shows the app instance's console output: setup progress, status changes, error messages,
etc.
-
+
-## Model Deployment Instance Configuration
+## vLLM Model Deployment Instance Configuration
-When configuring a new Model Deployment instance, you can fill in the required parameters or reuse the
+When configuring a new vLLM Model Deployment instance, you can fill in the required parameters or reuse the
configuration of a previously launched instance.
Launch an app instance with the configuration of a previously launched instance using one of the following options:
@@ -67,8 +67,8 @@ to open the app's configuration form.
* Import Configuration - Import an app instance configuration file. This will fill the instance launch form with the
values from the file, which can be modified before launching the app instance
* Project name - ClearML Project Name
-* Task name - Name of ClearML Task for your Model Deployment app instance
-* Queue - The [ClearML Queue](../../fundamentals/agents_and_queues.md#what-is-a-queue) to which the Model Deployment app
+* Task name - Name of ClearML Task for your vLLM Model Deployment app instance
+* Queue - The [ClearML Queue](../../fundamentals/agents_and_queues.md#what-is-a-queue) to which the vLLM Model Deployment app
instance task will be enqueued (make sure an agent is assigned to that queue)
* Model - A ClearML Model ID or a HuggingFace model name (e.g. `openai-community/gpt2`)
* Model Configuration
@@ -144,4 +144,4 @@ instance task will be enqueued (make sure an agent is assigned to that queue)
* Export Configuration - Export the app instance configuration as a JSON file, which you can later import to create a
new instance with the same configuration
-
\ No newline at end of file
+
\ No newline at end of file
diff --git a/docs/webapp/applications/apps_overview.md b/docs/webapp/applications/apps_overview.md
index 2507a436..7fcdb104 100644
--- a/docs/webapp/applications/apps_overview.md
+++ b/docs/webapp/applications/apps_overview.md
@@ -22,8 +22,8 @@ Applications for automating and optimizing workflows, and monitoring project per
* [**Task Scheduler**](apps_task_scheduler.md) - Schedule tasks for one-shot and/or periodic execution at specified times (available under ClearML Enterprise Plan)
* [**Trigger Manager**](apps_trigger_manager.md) - Define tasks to be run when predefined events occur (available under ClearML Enterprise Plan)
-### AI Dev
-Applications for deploying AI development environments on remote machines:
+### GPUaaS
+Applications for leveraging GPU-powered remote development environments:
* [**SSH Session**](apps_ssh_session.md) - Launch a full development environment on a remote machine with a
detached interactive SSH session (available under ClearML Enterprise Plan)
* [**Jupyter Lab**](apps_jupyter_lab.md) - Launch a Jupyter Lab session on a remote machine (available under ClearML Enterprise Plan)
diff --git a/sidebars.js b/sidebars.js
index 964767e4..8125f9cf 100644
--- a/sidebars.js
+++ b/sidebars.js
@@ -219,7 +219,7 @@ module.exports = {
]
},
{
- "AI Dev": [
+ "GPUaaS": [
'webapp/applications/apps_ssh_session',
'webapp/applications/apps_jupyter_lab',
'webapp/applications/apps_vscode',