docs: fix quickstart and queue docs

Author: enoodle

docs/queues/README.md

@@ -2,6 +2,8 @@
 
 Scheduling queues are the core resource management primitive in KAI Scheduler, providing hierarchical resource allocation with quota guarantees and priority-based distribution.
 
+Currently only queues that have parent queues can be scheduled to and top level queues cannot be used by jobs. This is a limitation that will be fixed in the future (github.com/NVIDIA/KAI-scheduler/issues/621).
+
 ## Table of Contents
 - [Queue Attributes](#queue-attributes)
 - [API Reference](#api-reference)

docs/quickstart/README.md

@@ -11,6 +11,8 @@ After installing KAI Scheduler, a **two-level queue hierarchy** is automatically
 * `default-parent-queue` – Top-level (parent) queue. By default, this queue has no reserved resource quotas, allowing governance of resource distribution for its leaf queues.
 * `default-queue` – Leaf (child) queue under the `default-parent-queue` top-level queue. Workloads should reference this queue.
 
+The expected default queues are in [default-queues.yaml](default-queues.yaml).
+
 No manual queue setup is required. Both queues will exist immediately after installation, allowing you to start submitting workloads right away.
 To customize scheduling, you can create additional queues or modify existing ones to set quotas, priorities, and hierarchies.
 

docs/quickstart/pods/cpu-only-pod.yaml

@@ -6,7 +6,7 @@ kind: Pod
 metadata:
   name: cpu-only-pod
   labels:
-    kai.scheduler/queue: test
+    kai.scheduler/queue: default-queue
 spec:
   schedulerName: kai-scheduler
   containers:
@@ -16,4 +16,4 @@ spec:
       resources:
         requests:
           cpu: 100m
-          memory: 250M
+          memory: 250M

docs/quickstart/pods/gpu-pod.yaml

@@ -6,7 +6,7 @@ kind: Pod
 metadata:
   name: gpu-pod
   labels:
-    kai.scheduler/queue: test
+    kai.scheduler/queue: default-queue
 spec:
   schedulerName: kai-scheduler
   containers:
@@ -16,4 +16,4 @@ spec:
       args: ["nvidia-smi; trap 'exit 0' TERM; sleep infinity & wait"]
       resources:
         limits:
-          nvidia.com/gpu: "1"
+          nvidia.com/gpu: "1"