-
Notifications
You must be signed in to change notification settings - Fork 112
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
initial changes for IG raw deployment mode
Signed-off-by: Mopuri, Bharath <[email protected]>
- Loading branch information
Mopuri, Bharath
committed
Feb 3, 2024
1 parent
fc1ba3e
commit 9b5b762
Showing
5 changed files
with
148 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,88 @@ | ||
# Announcing: KServe vx.xx | ||
|
||
We are excited to announce the release of KServe x.xx, in this release we made enhancements to the KServe control plane, especially brining RawDeployment for `InferenceGraph` as well. Previously `RawDeployment` existed only for `InferenceService` | ||
|
||
Here is a summary of the key changes: | ||
|
||
## KServe Core Inference Enhancements | ||
|
||
- Inference Graph enhancements for supporting `RawDeployment` along with Auto Scaling configuration right within the `InferenceGraphSpec` | ||
|
||
IG `RawDeployment` makes the deployment light weight using native k8s resources. See the comparison below | ||
|
||
![Inference graph Knative based deployment](../../images/2024-xx-xx-Kserve-x-xx-release/ig_knative_deployment.png) | ||
|
||
![Inference graph raw deployment](../../images/2024-xx-xx-Kserve-x-xx-release/ig_raw_deployment.png) | ||
|
||
AutoScaling configuration fields were introduced to support scaling needs in | ||
`RawDeployment` mode. These fields are optional and when added effective only when this annotation `serving.kserve.io/autoscalerClass` not pointing to `external` | ||
see the following example with Auto scaling fields `MinReplicas`, `MaxReplicas`, `ScaleTarget` and `ScaleMetric`: | ||
|
||
```yaml | ||
apiVersion: serving.kserve.io/v1alpha1 | ||
kind: InferenceGraph | ||
metadata: | ||
name: graph_with_switch_node | ||
annotations: | ||
serving.kserve.io/deploymentMode: "RawDeployment" | ||
spec: | ||
nodes: | ||
root: | ||
routerType: Sequence | ||
steps: | ||
- name: "rootStep1" | ||
nodeName: node1 | ||
dependency: Hard | ||
- name: "rootStep2" | ||
serviceName: {{ success_200_isvc_id }} | ||
node1: | ||
routerType: Switch | ||
steps: | ||
- name: "node1Step1" | ||
serviceName: {{ error_404_isvc_id }} | ||
condition: "[@this].#(decision_picker==ERROR)" | ||
dependency: Hard | ||
MinReplicas: 5 | ||
MaxReplicas: 10 | ||
ScaleTarget: 50 | ||
ScaleMetric: "cpu" | ||
``` | ||
For more details please refer to the [issue](https://github.com/kserve/kserve/issues/2454). | ||
|
||
- | ||
|
||
### Enhanced Python SDK Dependency Management | ||
|
||
- | ||
- | ||
|
||
### KServe Python Runtimes Improvements | ||
- | ||
|
||
### LLM Runtimes | ||
|
||
#### TorchServe LLM Runtime | ||
|
||
#### vLLM Runtime | ||
|
||
## ModelMesh Updates | ||
|
||
### Storing Models on Kubernetes Persistent Volumes (PVC) | ||
|
||
### Horizontal Pod Autoscaling (HPA) | ||
|
||
### Model Metrics, Metrics Dashboard, Payload Event Logging | ||
|
||
## What's Changed? :warning: | ||
|
||
## Join the community | ||
|
||
- Visit our [Website](https://kserve.github.io/website/) or [GitHub](https://github.com/kserve) | ||
- Join the Slack ([#kserve](https://kubeflow.slack.com/?redir=%2Farchives%2FCH6E58LNP)) | ||
- Attend our community meeting by subscribing to the [KServe calendar](https://wiki.lfaidata.foundation/display/kserve/calendars). | ||
- View our [community github repository](https://github.com/kserve/community) to learn how to make contributions. We are excited to work with you to make KServe better and promote its adoption! | ||
|
||
|
||
Thanks for all the contributors who have made the commits to 0.11 release! | ||
|
||
The KServe Working Group |
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters