fix: Update README.md (#697)

11/18 updating to AKS and AKS Arc cluster

**Reason for Change**:
<!-- What does this PR improve or fix in Kaito? Why is it needed? -->

**Requirements**

- [ ] added unit tests and e2e tests (if applicable).

**Issue Fixed**:
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**Notes for Reviewers**:

Signed-off-by: TanmayWaghmare <tanmayw@microsoft.com>
Co-authored-by: Ishaan Sehgal <ishaanforthewin@gmail.com>

README.md

@@ -31,7 +31,7 @@ Kaito follows the classic Kubernetes Custom Resource Definition(CRD)/controller
 The above figure presents the Kaito architecture overview. Its major components consist of:
 
 - **Workspace controller**: It reconciles the `workspace` custom resource, creates `machine` (explained below) custom resources to trigger node auto provisioning, and creates the inference or tuning workload (`deployment`, `statefulset` or `job`) based on the model preset configurations.
-- **Node provisioner controller**: The controller's name is *gpu-provisioner* in [gpu-provisioner helm chart](https://github.com/Azure/gpu-provisioner/tree/main/charts/gpu-provisioner). It uses the `machine` CRD originated from [Karpenter](https://sigs.k8s.io/karpenter) to interact with the workspace controller. It integrates with Azure Resource Manager REST APIs to add new GPU nodes to the AKS cluster.
+- **Node provisioner controller**: The controller's name is *gpu-provisioner* in [gpu-provisioner helm chart](https://github.com/Azure/gpu-provisioner/tree/main/charts/gpu-provisioner). It uses the `machine` CRD originated from [Karpenter](https://sigs.k8s.io/karpenter) to interact with the workspace controller. It integrates with Azure Resource Manager REST APIs to add new GPU nodes to the AKS or AKS Arc cluster.
 > Note: The [*gpu-provisioner*](https://github.com/Azure/gpu-provisioner) is an open sourced component. It can be replaced by other controllers if they support [Karpenter-core](https://sigs.k8s.io/karpenter) APIs.
 
 ## Installation