Skip to content

feat(infr): add quantization configuration for custom model deployment #5066

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 2 commits into
base: main
Choose a base branch
from
Open

feat(infr): add quantization configuration for custom model deployment #5066

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
d2dbd3c
feat(infr): add quantization configuration for custom model deployment
bene2k1 Jun 4, 2025
aeb6e60
Apply suggestions from code review
bene2k1 Jun 5, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 4 additions & 0 deletions pages/managed-inference/how-to/create-deployment.mdx
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -27,6 +27,10 @@ dates:
Some models may require acceptance of an end-user license agreement. If prompted, review the terms and conditions and accept the license accordingly.
</Message>
- Choose the geographical **region** for the deployment.
- For custom models: Choose the model quantization.
<Message type="tip">
Each model comes with a default quantization. Select lower bits quantization to improve performance and enable the model to run on smaller GPU nodes, while potentially reducing precision.
</Message>
- Specify the GPU Instance type to be used with your deployment.
4. Enter a **name** for the deployment, and optional tags.
5. Configure the **network connectivity** settings for the deployment:
Expand Down
Loading