diff --git a/scripts/dashboards_render_atlas.py b/scripts/dashboards_render_atlas.py
index 68c2d6317..cda8aad15 100644
--- a/scripts/dashboards_render_atlas.py
+++ b/scripts/dashboards_render_atlas.py
@@ -301,16 +301,11 @@ def gpu_util_by_hostname():
 GPU_RESOURCE_REGEX = "nvidia(_com_|[.]com/)gpu.*"
 
 
-def gpu_node_labels():
-    return f'max by (node) (kube_node_status_allocatable{{resource=~"{GPU_RESOURCE_REGEX}"}} > bool 0)'
-
-
 def gpu_requests_by_namespace_node(scope_var):
     return (
         "sum by (namespace,node) ("
         f'kube_pod_container_resource_requests{{resource=~"{GPU_RESOURCE_REGEX}",{scope_var}}} '
         "* on(namespace,pod) group_left(node) kube_pod_info "
-        f"* on(node) group_left() ({gpu_node_labels()})"
         ")"
     )
 
@@ -332,7 +327,8 @@ def gpu_usage_by_namespace(scope_var):
 
 def jetson_gpu_usage_by_namespace(scope_var):
     requests_by_ns = gpu_requests_by_namespace_node(scope_var)
-    total_by_node = f"sum by (node) ({requests_by_ns})"
+    all_requests = gpu_requests_by_namespace_node('namespace=~".*"')
+    total_by_node = f"sum by (node) ({all_requests})"
     return (
         "sum by (namespace) ("
         f"({requests_by_ns}) / on(node) group_left() clamp_min({total_by_node}, 1) "
@@ -341,6 +337,12 @@ def jetson_gpu_usage_by_namespace(scope_var):
     )
 
 
+def jetson_gpu_requested_nodes():
+    all_requests = gpu_requests_by_namespace_node('namespace=~".*"')
+    requested = f"(sum by (node) ({all_requests}) > 0)"
+    return f"({requested}) and on(node) ({jetson_gpu_util_by_node()})"
+
+
 def namespace_share_expr(resource_expr):
     total = f"clamp_min(sum( {resource_expr} ), 1)"
     return f"100 * ( {resource_expr} ) / {total}"
@@ -390,14 +392,29 @@ def gpu_total_devices_expr():
 
 
 def unattributed_gpu_usage():
-    legacy_total = f"(sum({legacy_gpu_util_without_process_exporter()}) or on() vector(0))"
+    unresolved = (
+        f"({legacy_gpu_util_without_process_exporter()}) "
+        f"unless on(node) ({jetson_gpu_requested_nodes()})"
+    )
+    legacy_total = f"(sum({unresolved}) or on() vector(0))"
     return (
         f'label_replace(({legacy_total} > 0), "namespace", "unattributed", "", "")'
     )
 
 
 def gpu_utilization_raw(scope_var):
-    return f"({nvidia_process_gpu_usage_by_namespace(scope_var)}) or ({unattributed_gpu_usage()})"
+    nvidia = (
+        'label_replace('
+        f'{nvidia_process_gpu_usage_by_namespace(scope_var)}, '
+        '"gpu_source", "nvidia", "", "")'
+    )
+    jetson = (
+        'label_replace('
+        f'(({jetson_gpu_usage_by_namespace(scope_var)}) > 0), '
+        '"gpu_source", "jetson", "", "")'
+    )
+    attributed = f"sum by (namespace) (({nvidia}) or ({jetson}))"
+    return f"({attributed}) or ({unattributed_gpu_usage()})"
 
 
 def gpu_pool_used_expr(scope_var):
@@ -1916,7 +1933,7 @@ OVERVIEW_PANEL_DESCRIPTIONS = {
     "Postgres Connections Used": "Current Postgres connections; lower leaves room for apps during spikes.",
     "Postgres Hottest Connections": "Database with the most active connections; high values identify the pressure source.",
     "Namespace CPU Share": "CPU share by namespace in the selected scope; big slices show who is using compute.",
-    "Namespace GPU Utilization": "Current proportional share of observed GPU compute activity. Process-aware NVIDIA metrics attribute titan-22/24 work to namespaces; host is non-pod work, and Jetson titan-20/21 activity remains unattributed when process-level attribution is unavailable. The slices total 100% of compute in use now, independent of the selected dashboard time range; idle appears only when observed activity is zero.",
+    "Namespace GPU Utilization": "Current proportional share of observed GPU compute activity. Process-aware NVIDIA metrics attribute titan-22/24 work to namespaces and non-pod work to host. Jetson titan-20/21 compute is assigned by Kubernetes shared-GPU allocations; unallocated activity remains unattributed. The slices total 100% of compute in use now, independent of the selected dashboard time range; idle appears only when observed activity is zero.",
     "Namespace RAM Share": "Memory share by namespace in the selected scope; big slices show who may drive pressure.",
     "Worker Node CPU": "Worker CPU over time; lower is calmer, sustained high load may need rescheduling.",
     "Worker Node RAM": "Worker memory over time; lower is safer, sustained high use risks evictions.",
diff --git a/scripts/tests/test_dashboards_render_atlas.py b/scripts/tests/test_dashboards_render_atlas.py
index 99df8288c..c78c897cc 100644
--- a/scripts/tests/test_dashboards_render_atlas.py
+++ b/scripts/tests/test_dashboards_render_atlas.py
@@ -163,7 +163,10 @@ def test_overview_uses_readable_quality_power_and_gitops_panels():
     assert "$__range" not in gpu_expr
     assert "sum by (namespace)" in gpu_expr
     assert 'namespace", "shared"' not in gpu_expr
-    assert "kube_node_labels" not in gpu_expr
+    assert "kube_pod_container_resource_requests" in gpu_expr
+    assert mod.GPU_RESOURCE_REGEX in gpu_expr
+    assert '"gpu_source", "nvidia"' in gpu_expr
+    assert '"gpu_source", "jetson"' in gpu_expr
     assert "100 *" in gpu_expr
     assert "100 -" not in gpu_expr
     assert 'namespace", "unattributed"' in gpu_expr
@@ -171,6 +174,7 @@ def test_overview_uses_readable_quality_power_and_gitops_panels():
     assert panels_by_title["Namespace GPU Utilization"]["targets"][0]["instant"] is True
     assert "Current proportional share" in panels_by_title["Namespace GPU Utilization"]["description"]
     assert "independent of the selected dashboard time range" in panels_by_title["Namespace GPU Utilization"]["description"]
+    assert "Kubernetes shared-GPU allocations" in panels_by_title["Namespace GPU Utilization"]["description"]
 
 
 def test_gpu_node_panel_prefers_stable_process_metrics_and_covers_all_gpu_families():
diff --git a/services/monitoring/dashboards/atlas-gpu.json b/services/monitoring/dashboards/atlas-gpu.json
index c50bc8f52..beb788fb3 100644
--- a/services/monitoring/dashboards/atlas-gpu.json
+++ b/services/monitoring/dashboards/atlas-gpu.json
@@ -20,7 +20,7 @@
       },
       "targets": [
         {
-          "expr": "(100 * ((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((max by (node) (nvidia_gpu_device_utilization_percent) or (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"})) unless on(node) (max by (node) (nvidia_gpu_device_utilization_percent)) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) / clamp_min((sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((max by (node) (nvidia_gpu_device_utilization_percent) or (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"})) unless on(node) (max by (node) (nvidia_gpu_device_utilization_percent)) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((max by (node) (nvidia_gpu_device_utilization_percent) or (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"})) unless on(node) (max by (node) (nvidia_gpu_device_utilization_percent)) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)) == 0))",
+          "expr": "(100 * ((sum by (namespace) ((label_replace(((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0), \"gpu_source\", \"nvidia\", \"\", \"\")) or (label_replace(((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info )) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",namespace=~\".*\"} * on(namespace,pod) group_left(node) kube_pod_info )), 1) * on(node) group_left() max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))) > 0), \"gpu_source\", \"jetson\", \"\", \"\")))) or (label_replace(((sum((((max by (node) (nvidia_gpu_device_utilization_percent) or (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"})) unless on(node) (max by (node) (nvidia_gpu_device_utilization_percent)) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) unless on(node) (((sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",namespace=~\".*\"} * on(namespace,pod) group_left(node) kube_pod_info )) > 0)) and on(node) (max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) / clamp_min((sum((sum by (namespace) ((label_replace(((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0), \"gpu_source\", \"nvidia\", \"\", \"\")) or (label_replace(((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info )) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",namespace=~\".*\"} * on(namespace,pod) group_left(node) kube_pod_info )), 1) * on(node) group_left() max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))) > 0), \"gpu_source\", \"jetson\", \"\", \"\")))) or (label_replace(((sum((((max by (node) (nvidia_gpu_device_utilization_percent) or (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"})) unless on(node) (max by (node) (nvidia_gpu_device_utilization_percent)) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) unless on(node) (((sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",namespace=~\".*\"} * on(namespace,pod) group_left(node) kube_pod_info )) > 0)) and on(node) (max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((sum((sum by (namespace) ((label_replace(((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0), \"gpu_source\", \"nvidia\", \"\", \"\")) or (label_replace(((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info )) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",namespace=~\".*\"} * on(namespace,pod) group_left(node) kube_pod_info )), 1) * on(node) group_left() max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))) > 0), \"gpu_source\", \"jetson\", \"\", \"\")))) or (label_replace(((sum((((max by (node) (nvidia_gpu_device_utilization_percent) or (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"})) unless on(node) (max by (node) (nvidia_gpu_device_utilization_percent)) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) unless on(node) (((sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",namespace=~\".*\"} * on(namespace,pod) group_left(node) kube_pod_info )) > 0)) and on(node) (max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)) == 0))",
           "refId": "A",
           "legendFormat": "{{namespace}}",
           "instant": true
@@ -72,7 +72,7 @@
           "targetBlank": false
         }
       ],
-      "description": "Current proportional share of observed GPU compute activity. Process-aware NVIDIA metrics attribute titan-22/24 work to namespaces; host is non-pod work, and Jetson titan-20/21 activity remains unattributed when process-level attribution is unavailable. The slices total 100% of compute in use now, independent of the selected dashboard time range; idle appears only when observed activity is zero."
+      "description": "Current proportional share of observed GPU compute activity. Process-aware NVIDIA metrics attribute titan-22/24 work to namespaces and non-pod work to host. Jetson titan-20/21 compute is assigned by Kubernetes shared-GPU allocations; unallocated activity remains unattributed. The slices total 100% of compute in use now, independent of the selected dashboard time range; idle appears only when observed activity is zero."
     },
     {
       "id": 2,
diff --git a/services/monitoring/dashboards/atlas-overview.json b/services/monitoring/dashboards/atlas-overview.json
index ff74cca2b..d4e5a9b72 100644
--- a/services/monitoring/dashboards/atlas-overview.json
+++ b/services/monitoring/dashboards/atlas-overview.json
@@ -3728,7 +3728,7 @@
       },
       "targets": [
         {
-          "expr": "(100 * ((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((max by (node) (nvidia_gpu_device_utilization_percent) or (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"})) unless on(node) (max by (node) (nvidia_gpu_device_utilization_percent)) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) / clamp_min((sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((max by (node) (nvidia_gpu_device_utilization_percent) or (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"})) unless on(node) (max by (node) (nvidia_gpu_device_utilization_percent)) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((max by (node) (nvidia_gpu_device_utilization_percent) or (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"})) unless on(node) (max by (node) (nvidia_gpu_device_utilization_percent)) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)) == 0))",
+          "expr": "(100 * ((sum by (namespace) ((label_replace(((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0), \"gpu_source\", \"nvidia\", \"\", \"\")) or (label_replace(((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info )) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",namespace=~\".*\"} * on(namespace,pod) group_left(node) kube_pod_info )), 1) * on(node) group_left() max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))) > 0), \"gpu_source\", \"jetson\", \"\", \"\")))) or (label_replace(((sum((((max by (node) (nvidia_gpu_device_utilization_percent) or (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"})) unless on(node) (max by (node) (nvidia_gpu_device_utilization_percent)) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) unless on(node) (((sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",namespace=~\".*\"} * on(namespace,pod) group_left(node) kube_pod_info )) > 0)) and on(node) (max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) / clamp_min((sum((sum by (namespace) ((label_replace(((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0), \"gpu_source\", \"nvidia\", \"\", \"\")) or (label_replace(((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info )) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",namespace=~\".*\"} * on(namespace,pod) group_left(node) kube_pod_info )), 1) * on(node) group_left() max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))) > 0), \"gpu_source\", \"jetson\", \"\", \"\")))) or (label_replace(((sum((((max by (node) (nvidia_gpu_device_utilization_percent) or (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"})) unless on(node) (max by (node) (nvidia_gpu_device_utilization_percent)) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) unless on(node) (((sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",namespace=~\".*\"} * on(namespace,pod) group_left(node) kube_pod_info )) > 0)) and on(node) (max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((sum((sum by (namespace) ((label_replace(((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0), \"gpu_source\", \"nvidia\", \"\", \"\")) or (label_replace(((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info )) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",namespace=~\".*\"} * on(namespace,pod) group_left(node) kube_pod_info )), 1) * on(node) group_left() max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))) > 0), \"gpu_source\", \"jetson\", \"\", \"\")))) or (label_replace(((sum((((max by (node) (nvidia_gpu_device_utilization_percent) or (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"})) unless on(node) (max by (node) (nvidia_gpu_device_utilization_percent)) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) unless on(node) (((sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",namespace=~\".*\"} * on(namespace,pod) group_left(node) kube_pod_info )) > 0)) and on(node) (max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)) == 0))",
           "refId": "A",
           "legendFormat": "{{namespace}}",
           "instant": true
@@ -3780,7 +3780,7 @@
           "targetBlank": false
         }
       ],
-      "description": "Current proportional share of observed GPU compute activity. Process-aware NVIDIA metrics attribute titan-22/24 work to namespaces; host is non-pod work, and Jetson titan-20/21 activity remains unattributed when process-level attribution is unavailable. The slices total 100% of compute in use now, independent of the selected dashboard time range; idle appears only when observed activity is zero."
+      "description": "Current proportional share of observed GPU compute activity. Process-aware NVIDIA metrics attribute titan-22/24 work to namespaces and non-pod work to host. Jetson titan-20/21 compute is assigned by Kubernetes shared-GPU allocations; unallocated activity remains unattributed. The slices total 100% of compute in use now, independent of the selected dashboard time range; idle appears only when observed activity is zero."
     },
     {
       "id": 13,
diff --git a/services/monitoring/grafana-dashboard-gpu.yaml b/services/monitoring/grafana-dashboard-gpu.yaml
index fee7e5385..c96c615fe 100644
--- a/services/monitoring/grafana-dashboard-gpu.yaml
+++ b/services/monitoring/grafana-dashboard-gpu.yaml
@@ -29,7 +29,7 @@ data:
           },
           "targets": [
             {
-              "expr": "(100 * ((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((max by (node) (nvidia_gpu_device_utilization_percent) or (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"})) unless on(node) (max by (node) (nvidia_gpu_device_utilization_percent)) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) / clamp_min((sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((max by (node) (nvidia_gpu_device_utilization_percent) or (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"})) unless on(node) (max by (node) (nvidia_gpu_device_utilization_percent)) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((max by (node) (nvidia_gpu_device_utilization_percent) or (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"})) unless on(node) (max by (node) (nvidia_gpu_device_utilization_percent)) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)) == 0))",
+              "expr": "(100 * ((sum by (namespace) ((label_replace(((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0), \"gpu_source\", \"nvidia\", \"\", \"\")) or (label_replace(((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info )) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",namespace=~\".*\"} * on(namespace,pod) group_left(node) kube_pod_info )), 1) * on(node) group_left() max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))) > 0), \"gpu_source\", \"jetson\", \"\", \"\")))) or (label_replace(((sum((((max by (node) (nvidia_gpu_device_utilization_percent) or (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"})) unless on(node) (max by (node) (nvidia_gpu_device_utilization_percent)) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) unless on(node) (((sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",namespace=~\".*\"} * on(namespace,pod) group_left(node) kube_pod_info )) > 0)) and on(node) (max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) / clamp_min((sum((sum by (namespace) ((label_replace(((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0), \"gpu_source\", \"nvidia\", \"\", \"\")) or (label_replace(((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info )) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",namespace=~\".*\"} * on(namespace,pod) group_left(node) kube_pod_info )), 1) * on(node) group_left() max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))) > 0), \"gpu_source\", \"jetson\", \"\", \"\")))) or (label_replace(((sum((((max by (node) (nvidia_gpu_device_utilization_percent) or (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"})) unless on(node) (max by (node) (nvidia_gpu_device_utilization_percent)) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) unless on(node) (((sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",namespace=~\".*\"} * on(namespace,pod) group_left(node) kube_pod_info )) > 0)) and on(node) (max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((sum((sum by (namespace) ((label_replace(((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0), \"gpu_source\", \"nvidia\", \"\", \"\")) or (label_replace(((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info )) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",namespace=~\".*\"} * on(namespace,pod) group_left(node) kube_pod_info )), 1) * on(node) group_left() max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))) > 0), \"gpu_source\", \"jetson\", \"\", \"\")))) or (label_replace(((sum((((max by (node) (nvidia_gpu_device_utilization_percent) or (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"})) unless on(node) (max by (node) (nvidia_gpu_device_utilization_percent)) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) unless on(node) (((sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",namespace=~\".*\"} * on(namespace,pod) group_left(node) kube_pod_info )) > 0)) and on(node) (max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)) == 0))",
               "refId": "A",
               "legendFormat": "{{namespace}}",
               "instant": true
@@ -81,7 +81,7 @@ data:
               "targetBlank": false
             }
           ],
-          "description": "Current proportional share of observed GPU compute activity. Process-aware NVIDIA metrics attribute titan-22/24 work to namespaces; host is non-pod work, and Jetson titan-20/21 activity remains unattributed when process-level attribution is unavailable. The slices total 100% of compute in use now, independent of the selected dashboard time range; idle appears only when observed activity is zero."
+          "description": "Current proportional share of observed GPU compute activity. Process-aware NVIDIA metrics attribute titan-22/24 work to namespaces and non-pod work to host. Jetson titan-20/21 compute is assigned by Kubernetes shared-GPU allocations; unallocated activity remains unattributed. The slices total 100% of compute in use now, independent of the selected dashboard time range; idle appears only when observed activity is zero."
         },
         {
           "id": 2,
diff --git a/services/monitoring/grafana-dashboard-overview.yaml b/services/monitoring/grafana-dashboard-overview.yaml
index 77b128670..bfed0763f 100644
--- a/services/monitoring/grafana-dashboard-overview.yaml
+++ b/services/monitoring/grafana-dashboard-overview.yaml
@@ -3737,7 +3737,7 @@ data:
           },
           "targets": [
             {
-              "expr": "(100 * ((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((max by (node) (nvidia_gpu_device_utilization_percent) or (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"})) unless on(node) (max by (node) (nvidia_gpu_device_utilization_percent)) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) / clamp_min((sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((max by (node) (nvidia_gpu_device_utilization_percent) or (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"})) unless on(node) (max by (node) (nvidia_gpu_device_utilization_percent)) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((max by (node) (nvidia_gpu_device_utilization_percent) or (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"})) unless on(node) (max by (node) (nvidia_gpu_device_utilization_percent)) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)) == 0))",
+              "expr": "(100 * ((sum by (namespace) ((label_replace(((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0), \"gpu_source\", \"nvidia\", \"\", \"\")) or (label_replace(((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info )) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",namespace=~\".*\"} * on(namespace,pod) group_left(node) kube_pod_info )), 1) * on(node) group_left() max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))) > 0), \"gpu_source\", \"jetson\", \"\", \"\")))) or (label_replace(((sum((((max by (node) (nvidia_gpu_device_utilization_percent) or (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"})) unless on(node) (max by (node) (nvidia_gpu_device_utilization_percent)) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) unless on(node) (((sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",namespace=~\".*\"} * on(namespace,pod) group_left(node) kube_pod_info )) > 0)) and on(node) (max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) / clamp_min((sum((sum by (namespace) ((label_replace(((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0), \"gpu_source\", \"nvidia\", \"\", \"\")) or (label_replace(((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info )) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",namespace=~\".*\"} * on(namespace,pod) group_left(node) kube_pod_info )), 1) * on(node) group_left() max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))) > 0), \"gpu_source\", \"jetson\", \"\", \"\")))) or (label_replace(((sum((((max by (node) (nvidia_gpu_device_utilization_percent) or (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"})) unless on(node) (max by (node) (nvidia_gpu_device_utilization_percent)) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) unless on(node) (((sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",namespace=~\".*\"} * on(namespace,pod) group_left(node) kube_pod_info )) > 0)) and on(node) (max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((sum((sum by (namespace) ((label_replace(((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0), \"gpu_source\", \"nvidia\", \"\", \"\")) or (label_replace(((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info )) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",namespace=~\".*\"} * on(namespace,pod) group_left(node) kube_pod_info )), 1) * on(node) group_left() max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))) > 0), \"gpu_source\", \"jetson\", \"\", \"\")))) or (label_replace(((sum((((max by (node) (nvidia_gpu_device_utilization_percent) or (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"})) unless on(node) (max by (node) (nvidia_gpu_device_utilization_percent)) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) unless on(node) (((sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",namespace=~\".*\"} * on(namespace,pod) group_left(node) kube_pod_info )) > 0)) and on(node) (max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)) == 0))",
               "refId": "A",
               "legendFormat": "{{namespace}}",
               "instant": true
@@ -3789,7 +3789,7 @@ data:
               "targetBlank": false
             }
           ],
-          "description": "Current proportional share of observed GPU compute activity. Process-aware NVIDIA metrics attribute titan-22/24 work to namespaces; host is non-pod work, and Jetson titan-20/21 activity remains unattributed when process-level attribution is unavailable. The slices total 100% of compute in use now, independent of the selected dashboard time range; idle appears only when observed activity is zero."
+          "description": "Current proportional share of observed GPU compute activity. Process-aware NVIDIA metrics attribute titan-22/24 work to namespaces and non-pod work to host. Jetson titan-20/21 compute is assigned by Kubernetes shared-GPU allocations; unallocated activity remains unattributed. The slices total 100% of compute in use now, independent of the selected dashboard time range; idle appears only when observed activity is zero."
         },
         {
           "id": 13,