mirror of
https://github.com/clearml/clearml-docs
synced 2025-01-30 22:18:02 +00:00
Small edits (#973)
This commit is contained in:
parent
59781c9cf1
commit
83fe2841d7
@ -12,9 +12,11 @@ cases. The Embedding Model Deployment application serves your model on a machine
|
||||
running, it serves your embedding 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 Task Traffic Router
|
||||
The Embedding Model Deployment app relies on the ClearML Traffic Router which implements a secure, authenticated network
|
||||
channel to the model
|
||||
:::info AI Application Gateway
|
||||
The Embedding 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.
|
||||
:::
|
||||
|
||||
After starting an Embedding Model Deployment instance, you can view the following information in its dashboard:
|
||||
|
@ -15,9 +15,11 @@ The Gradio launcher monitors the Gradio app activity and shuts down if it is ina
|
||||
|
||||
<a id="traffic_router"/>
|
||||
|
||||
:::important Task Traffic Router
|
||||
The Gradio Launcher relies on the ClearML Traffic Router which facilitates user authentication, and redirects requests
|
||||
:::important AI Application Gateway
|
||||
The Gradio Launcher relies on the ClearML Traffic Router which implements user authentication, and redirects requests
|
||||
to the IP/port served by the Gradio app.
|
||||
|
||||
If the ClearML AI application Gateway is not available, the Gradio app might not be accessible.
|
||||
:::
|
||||
|
||||
Once you start a Gradio launcher instance, you can view the following information in its dashboard:
|
||||
|
@ -12,9 +12,11 @@ usage. The Model Deployment application serves your model on a machine of your c
|
||||
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 Task Traffic Router
|
||||
The Model Deployment app relies on the ClearML Traffic Router which implements a secure, authenticated network channel
|
||||
to the model
|
||||
:::info AI Application Gateway
|
||||
The 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:
|
||||
|
@ -16,9 +16,11 @@ time.
|
||||
|
||||
<a id="traffic_router"/>
|
||||
|
||||
:::important Task Traffic Router
|
||||
The Streamlit Launcher relies on the ClearML Traffic Router which facilitates user authentication, and redirects requests
|
||||
:::important AI Application Gateway
|
||||
The Streamlit Launcher relies on the ClearML Traffic Router which implements user authentication, and redirects requests
|
||||
to the IP/port served by the Streamlit app.
|
||||
|
||||
If the ClearML AI application Gateway is not available, the Streamlit app might not be accessible.
|
||||
:::
|
||||
|
||||
Once you start a Streamlit launcher instance, you can view the following information in its dashboard:
|
||||
|
Loading…
Reference in New Issue
Block a user