You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: articles/machine-learning/how-to-attach-kubernetes-anywhere.md
+3-3Lines changed: 3 additions & 3 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -73,7 +73,7 @@ Train model in cloud, deploy model on-premises | Cloud | Make use of cloud compu
73
73
74
74
## KubernetesCompute and legacy AksCompute
75
75
76
-
With AzureML CLI/Python SDK v1, you can deploy models on AKS using AksCompute target. Both KubernetesCompute target and AksCompute target support AKS integration, however they support it differently. Following table shows key differences.
76
+
With AzureML CLI/Python SDK v1, you can deploy models on AKS using AksCompute target. Both KubernetesCompute target and AksCompute target support AKS integration, however they support it differently. The following table shows their key differences:
77
77
78
78
|Capabilities |AKS integration with AksCompute (legacy) |AKS integration with KubernetesCompute|
79
79
|--|--|--|
@@ -84,7 +84,7 @@ With AzureML CLI/Python SDK v1, you can deploy models on AKS using AksCompute ta
84
84
|Batch inference | No | Yes |
85
85
|Real-time inference new features | No new features development | Active roadmap |
86
86
87
-
With these key differences and overall AzureML evolves to use SDK/CLI v2, AzureML recommends you to use Kubernetes compute target to deploy models if you decide to use AKS for model deployment.
87
+
With these key differences and overall AzureML evolution to use SDK/CLI v2, AzureML recommends you to use Kubernetes compute target to deploy models if you decide to use AKS for model deployment.
88
88
89
89
## Next steps
90
90
@@ -107,4 +107,4 @@ For any AzureML example, you only need to update the compute target name to your
107
107
* Explore model deployment with online endpoint samples with CLI v2 - [https://github.com/Azure/azureml-examples/tree/main/cli/endpoints/online/kubernetes](https://github.com/Azure/azureml-examples/tree/main/cli/endpoints/online/kubernetes)
108
108
* Explore batch endpoint samples with CLI v2 - [https://github.com/Azure/azureml-examples/tree/main/cli/endpoints/batch](https://github.com/Azure/azureml-examples/tree/main/cli/endpoints/batch)
109
109
* Explore training job samples with SDK v2 -[https://github.com/Azure/azureml-examples/tree/main/sdk/python/jobs](https://github.com/Azure/azureml-examples/tree/main/sdk/python/jobs)
110
-
* Explore model deployment with online endpoint samples with SDK v2 -[https://github.com/Azure/azureml-examples/tree/main/sdk/python/endpoints/online/kubernetes](https://github.com/Azure/azureml-examples/tree/main/sdk/python/endpoints/online/kubernetes)
110
+
* Explore model deployment with online endpoint samples with SDK v2 -[https://github.com/Azure/azureml-examples/tree/main/sdk/python/endpoints/online/kubernetes](https://github.com/Azure/azureml-examples/tree/main/sdk/python/endpoints/online/kubernetes)
0 commit comments