diff --git a/scripts/dashboards_render_atlas.py b/scripts/dashboards_render_atlas.py
index 3b788ff5..f5202fb7 100644
--- a/scripts/dashboards_render_atlas.py
+++ b/scripts/dashboards_render_atlas.py
@@ -304,6 +304,10 @@ def gpu_requests_by_namespace_node(scope_var):
     )
 
 
+def gpu_requests_by_namespace(scope_var):
+    return f"sum by (namespace) ({gpu_requests_by_namespace_node(scope_var)})"
+
+
 def 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})"
@@ -340,10 +344,10 @@ def namespace_ram_share_expr(scope_var):
 
 
 def namespace_gpu_share_expr(scope_var):
-    usage = f"max_over_time(({namespace_gpu_usage_instant(scope_var)})[$__range:$__interval])"
-    total = f"(sum({usage}) or on() vector(0))"
-    present = f"(count({usage}) or on() vector(0))"
-    share = f"100 * ({usage}) / clamp_min({total}, 1)"
+    reservation = f"max_over_time(({gpu_requests_by_namespace(scope_var)})[$__range:$__interval])"
+    total = f"(sum({reservation}) or on() vector(0))"
+    present = f"(count({reservation}) or on() vector(0))"
+    share = f"100 * ({reservation}) / clamp_min({total}, 1)"
     idle = 'label_replace(vector(100), "namespace", "idle", "", "") and on() (' + present + " == 0)"
     return f"({share}) or ({idle})"
 
@@ -1802,7 +1806,7 @@ 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 Share": "GPU share by namespace in the selected scope; idle is good unless GPU work is expected.",
+    "Namespace GPU Reservation": "GPU reservation share by namespace in the selected scope. This is allocation, not per-process GPU utilization.",
     "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.",
@@ -2815,11 +2819,11 @@ def build_overview():
     panels.append(
         pie_panel(
             12,
-            "Namespace GPU Share",
+            "Namespace GPU Reservation",
             namespace_gpu_share_expr(gpu_scope),
             {"h": 9, "w": 8, "x": 8, "y": 23},
             links=namespace_scope_links("namespace_scope_gpu"),
-            description="Shares are normalized within the selected filter. Switching scope changes the denominator.",
+            description="Shares are based on Kubernetes GPU requests seen in the selected range, not true per-process GPU utilization.",
         )
     )
     panels.append(
@@ -5336,23 +5340,24 @@ def build_gpu_dashboard():
     panels.append(
         pie_panel(
             1,
-            "Namespace GPU Share",
+            "Namespace GPU Reservation",
             namespace_gpu_share_expr(gpu_scope),
             {"h": 8, "w": 12, "x": 0, "y": 0},
             links=namespace_scope_links("namespace_scope_gpu"),
-            description="Shares are normalized within the selected filter. Switching scope changes the denominator.",
+            description="Shares are based on Kubernetes GPU requests seen in the selected range, not true per-process GPU utilization.",
         )
     )
     panels.append(
         timeseries_panel(
             2,
-            "GPU Util by Namespace",
+            "GPU Activity by Reservation",
             namespace_gpu_usage_instant(gpu_scope),
             {"h": 8, "w": 12, "x": 12, "y": 0},
             unit="percent",
             legend="{{namespace}}",
             legend_display="table",
             legend_placement="right",
+            description="Node/device GPU activity attributed by each namespace's GPU reservation on that node.",
         )
     )
     panels.append(
@@ -5370,11 +5375,12 @@ def build_gpu_dashboard():
     panels.append(
         table_panel(
             4,
-            "Top Pods by GPU Util",
+            "GPU Pods Reporting Device Util",
             'topk(10, sum(DCGM_FI_DEV_GPU_UTIL{pod!=""}) by (namespace,pod,Hostname))',
             {"h": 8, "w": 12, "x": 12, "y": 8},
             unit="percent",
             transformations=[{"id": "labelsToFields", "options": {}}],
+            description="DCGM labels the device utilization sample with GPU-consuming pods; shared-GPU pods can report the same device value.",
         )
     )
     return {
diff --git a/scripts/tests/test_dashboards_render_atlas.py b/scripts/tests/test_dashboards_render_atlas.py
index eac67c62..8dfc3575 100644
--- a/scripts/tests/test_dashboards_render_atlas.py
+++ b/scripts/tests/test_dashboards_render_atlas.py
@@ -154,9 +154,9 @@ def test_overview_uses_readable_quality_power_and_gitops_panels():
     assert "backup-telemetry-missing" in pvc_backup_expr
     assert 'pvc_backup_(count|last_success_timestamp_seconds|health_reason)' in pvc_backup_expr
 
-    gpu_expr = panels_by_title["Namespace GPU Share"]["targets"][0]["expr"]
+    gpu_expr = panels_by_title["Namespace GPU Reservation"]["targets"][0]["expr"]
     assert 'resource=~"nvidia(_com_|[.]com/)gpu.*"' in gpu_expr
-    assert "/ on(node) group_left() clamp_min" in gpu_expr
+    assert "sum by (namespace)" in gpu_expr
     assert "kube_node_status_allocatable" in gpu_expr
     assert "kube_node_labels" not in gpu_expr
     assert "count(max_over_time(" in gpu_expr
diff --git a/services/monitoring/dashboards/atlas-gpu.json b/services/monitoring/dashboards/atlas-gpu.json
index b1c9e58d..79416381 100644
--- a/services/monitoring/dashboards/atlas-gpu.json
+++ b/services/monitoring/dashboards/atlas-gpu.json
@@ -7,7 +7,7 @@
     {
       "id": 1,
       "type": "piechart",
-      "title": "Namespace GPU Share",
+      "title": "Namespace GPU Reservation",
       "datasource": {
         "type": "prometheus",
         "uid": "atlas-vm"
@@ -20,7 +20,7 @@
       },
       "targets": [
         {
-          "expr": "(100 * (max_over_time((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))))[$__range:$__interval])) / clamp_min((sum(max_over_time((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (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() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))))[$__range:$__interval])) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((count(max_over_time((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (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() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))))[$__range:$__interval])) or on() vector(0)) == 0))",
+          "expr": "(100 * (max_over_time((sum by (namespace) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))))[$__range:$__interval])) / clamp_min((sum(max_over_time((sum by (namespace) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))))[$__range:$__interval])) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((count(max_over_time((sum by (namespace) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))))[$__range:$__interval])) or on() vector(0)) == 0))",
           "refId": "A",
           "legendFormat": "{{namespace}}"
         }
@@ -71,12 +71,12 @@
           "targetBlank": false
         }
       ],
-      "description": "Shares are normalized within the selected filter. Switching scope changes the denominator."
+      "description": "Shares are based on Kubernetes GPU requests seen in the selected range, not true per-process GPU utilization."
     },
     {
       "id": 2,
       "type": "timeseries",
-      "title": "GPU Util by Namespace",
+      "title": "GPU Activity by Reservation",
       "datasource": {
         "type": "prometheus",
         "uid": "atlas-vm"
@@ -108,7 +108,8 @@
         "tooltip": {
           "mode": "multi"
         }
-      }
+      },
+      "description": "Node/device GPU activity attributed by each namespace's GPU reservation on that node."
     },
     {
       "id": 3,
@@ -150,7 +151,7 @@
     {
       "id": 4,
       "type": "table",
-      "title": "Top Pods by GPU Util",
+      "title": "GPU Pods Reporting Device Util",
       "datasource": {
         "type": "prometheus",
         "uid": "atlas-vm"
@@ -185,7 +186,8 @@
           "id": "labelsToFields",
           "options": {}
         }
-      ]
+      ],
+      "description": "DCGM labels the device utilization sample with GPU-consuming pods; shared-GPU pods can report the same device value."
     }
   ],
   "time": {
diff --git a/services/monitoring/dashboards/atlas-overview.json b/services/monitoring/dashboards/atlas-overview.json
index 15dd6474..ba70cf27 100644
--- a/services/monitoring/dashboards/atlas-overview.json
+++ b/services/monitoring/dashboards/atlas-overview.json
@@ -3715,7 +3715,7 @@
     {
       "id": 12,
       "type": "piechart",
-      "title": "Namespace GPU Share",
+      "title": "Namespace GPU Reservation",
       "datasource": {
         "type": "prometheus",
         "uid": "atlas-vm"
@@ -3728,7 +3728,7 @@
       },
       "targets": [
         {
-          "expr": "(100 * (max_over_time((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))))[$__range:$__interval])) / clamp_min((sum(max_over_time((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (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() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))))[$__range:$__interval])) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((count(max_over_time((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (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() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))))[$__range:$__interval])) or on() vector(0)) == 0))",
+          "expr": "(100 * (max_over_time((sum by (namespace) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))))[$__range:$__interval])) / clamp_min((sum(max_over_time((sum by (namespace) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))))[$__range:$__interval])) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((count(max_over_time((sum by (namespace) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))))[$__range:$__interval])) or on() vector(0)) == 0))",
           "refId": "A",
           "legendFormat": "{{namespace}}"
         }
@@ -3779,7 +3779,7 @@
           "targetBlank": false
         }
       ],
-      "description": "Shares are normalized within the selected filter. Switching scope changes the denominator."
+      "description": "Shares are based on Kubernetes GPU requests seen in the selected range, not true per-process GPU utilization."
     },
     {
       "id": 13,
diff --git a/services/monitoring/grafana-dashboard-gpu.yaml b/services/monitoring/grafana-dashboard-gpu.yaml
index 8d8f13dc..5b8ca9ff 100644
--- a/services/monitoring/grafana-dashboard-gpu.yaml
+++ b/services/monitoring/grafana-dashboard-gpu.yaml
@@ -16,7 +16,7 @@ data:
         {
           "id": 1,
           "type": "piechart",
-          "title": "Namespace GPU Share",
+          "title": "Namespace GPU Reservation",
           "datasource": {
             "type": "prometheus",
             "uid": "atlas-vm"
@@ -29,7 +29,7 @@ data:
           },
           "targets": [
             {
-              "expr": "(100 * (max_over_time((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))))[$__range:$__interval])) / clamp_min((sum(max_over_time((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (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() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))))[$__range:$__interval])) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((count(max_over_time((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (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() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))))[$__range:$__interval])) or on() vector(0)) == 0))",
+              "expr": "(100 * (max_over_time((sum by (namespace) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))))[$__range:$__interval])) / clamp_min((sum(max_over_time((sum by (namespace) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))))[$__range:$__interval])) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((count(max_over_time((sum by (namespace) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))))[$__range:$__interval])) or on() vector(0)) == 0))",
               "refId": "A",
               "legendFormat": "{{namespace}}"
             }
@@ -80,12 +80,12 @@ data:
               "targetBlank": false
             }
           ],
-          "description": "Shares are normalized within the selected filter. Switching scope changes the denominator."
+          "description": "Shares are based on Kubernetes GPU requests seen in the selected range, not true per-process GPU utilization."
         },
         {
           "id": 2,
           "type": "timeseries",
-          "title": "GPU Util by Namespace",
+          "title": "GPU Activity by Reservation",
           "datasource": {
             "type": "prometheus",
             "uid": "atlas-vm"
@@ -117,7 +117,8 @@ data:
             "tooltip": {
               "mode": "multi"
             }
-          }
+          },
+          "description": "Node/device GPU activity attributed by each namespace's GPU reservation on that node."
         },
         {
           "id": 3,
@@ -159,7 +160,7 @@ data:
         {
           "id": 4,
           "type": "table",
-          "title": "Top Pods by GPU Util",
+          "title": "GPU Pods Reporting Device Util",
           "datasource": {
             "type": "prometheus",
             "uid": "atlas-vm"
@@ -194,7 +195,8 @@ data:
               "id": "labelsToFields",
               "options": {}
             }
-          ]
+          ],
+          "description": "DCGM labels the device utilization sample with GPU-consuming pods; shared-GPU pods can report the same device value."
         }
       ],
       "time": {
diff --git a/services/monitoring/grafana-dashboard-overview.yaml b/services/monitoring/grafana-dashboard-overview.yaml
index 648efa66..9a3c8eaf 100644
--- a/services/monitoring/grafana-dashboard-overview.yaml
+++ b/services/monitoring/grafana-dashboard-overview.yaml
@@ -3724,7 +3724,7 @@ data:
         {
           "id": 12,
           "type": "piechart",
-          "title": "Namespace GPU Share",
+          "title": "Namespace GPU Reservation",
           "datasource": {
             "type": "prometheus",
             "uid": "atlas-vm"
@@ -3737,7 +3737,7 @@ data:
           },
           "targets": [
             {
-              "expr": "(100 * (max_over_time((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))))[$__range:$__interval])) / clamp_min((sum(max_over_time((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (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() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))))[$__range:$__interval])) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((count(max_over_time((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (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() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))))[$__range:$__interval])) or on() vector(0)) == 0))",
+              "expr": "(100 * (max_over_time((sum by (namespace) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))))[$__range:$__interval])) / clamp_min((sum(max_over_time((sum by (namespace) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))))[$__range:$__interval])) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((count(max_over_time((sum by (namespace) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))))[$__range:$__interval])) or on() vector(0)) == 0))",
               "refId": "A",
               "legendFormat": "{{namespace}}"
             }
@@ -3788,7 +3788,7 @@ data:
               "targetBlank": false
             }
           ],
-          "description": "Shares are normalized within the selected filter. Switching scope changes the denominator."
+          "description": "Shares are based on Kubernetes GPU requests seen in the selected range, not true per-process GPU utilization."
         },
         {
           "id": 13,