diff --git a/cmd/scheduler/metrics.go b/cmd/scheduler/metrics.go
index 8edee226f8..c1285aba00 100644
--- a/cmd/scheduler/metrics.go
+++ b/cmd/scheduler/metrics.go
@@ -80,7 +80,7 @@ func (cc ClusterManagerCollector) Collect(ch chan<- prometheus.Metric) {
 	nodeGPUOverview := prometheus.NewDesc(
 		"hami_node_gpu_overview",
 		"GPU overview on a certain node",
-		[]string{"node", "device_uuid", "device_index", "device_cores", "shared_containers", "device_memory_limit", "device_type"}, nil,
+		[]string{"node", "device_uuid", "device_index", "device_cores", "device_memory_limit", "device_type"}, nil,
 	)
 	nodeGPUMemoryPercentage := prometheus.NewDesc(
 		"hami_node_gpu_memory_allocated_ratio",
@@ -136,7 +136,7 @@ func (cc ClusterManagerCollector) Collect(ch chan<- prometheus.Metric) {
 		legacyOverview = prometheus.NewDesc(
 			"nodeGPUOverview",
 			"GPU overview on a certain node",
-			[]string{"nodeid", "deviceuuid", "deviceidx", "devicecores", "sharedcontainers", "devicememorylimit", "devicetype"}, nil,
+			[]string{"nodeid", "deviceuuid", "deviceidx", "devicecores", "devicememorylimit", "devicetype"}, nil,
 		)
 		legacyMemoryPercentage = prometheus.NewDesc(
 			"nodeGPUMemoryPercentage",
@@ -208,7 +208,7 @@ func (cc ClusterManagerCollector) Collect(ch chan<- prometheus.Metric) {
 				nodevGPUMemoryAllocatedDesc,
 				prometheus.GaugeValue,
 				float64(devs.Device.Usedmem)*float64(1024)*float64(1024),
-				nodeID, devs.Device.ID, fmt.Sprint(devs.Device.Index), fmt.Sprint(devs.Device.Usedcores), devs.Device.Type,
+				nodeID, devs.Device.ID, fmt.Sprint(devs.Device.Index), fmt.Sprint(devs.Device.Totalcore), devs.Device.Type,
 			)
 			ch <- prometheus.MustNewConstMetric(
 				nodevGPUSharedNumDesc,
@@ -226,7 +226,7 @@ func (cc ClusterManagerCollector) Collect(ch chan<- prometheus.Metric) {
 				nodeGPUOverview,
 				prometheus.GaugeValue,
 				float64(devs.Device.Usedmem)*float64(1024)*float64(1024),
-				nodeID, devs.Device.ID, fmt.Sprint(devs.Device.Index), fmt.Sprint(devs.Device.Usedcores), fmt.Sprint(devs.Device.Used), fmt.Sprint(devs.Device.Totalmem), devs.Device.Type,
+				nodeID, devs.Device.ID, fmt.Sprint(devs.Device.Index), fmt.Sprint(devs.Device.Totalcore), fmt.Sprint(devs.Device.Totalmem), devs.Device.Type,
 			)
 			ch <- prometheus.MustNewConstMetric(
 				nodeGPUMemoryPercentage,
@@ -252,7 +252,7 @@ func (cc ClusterManagerCollector) Collect(ch chan<- prometheus.Metric) {
 					legacyMemoryAllocatedDesc,
 					prometheus.GaugeValue,
 					float64(devs.Device.Usedmem)*float64(1024)*float64(1024),
-					nodeID, devs.Device.ID, fmt.Sprint(devs.Device.Index), fmt.Sprint(devs.Device.Usedcores), devs.Device.Type,
+					nodeID, devs.Device.ID, fmt.Sprint(devs.Device.Index), fmt.Sprint(devs.Device.Totalcore), devs.Device.Type,
 				)
 				ch <- prometheus.MustNewConstMetric(
 					legacySharedNumDesc,
@@ -270,7 +270,7 @@ func (cc ClusterManagerCollector) Collect(ch chan<- prometheus.Metric) {
 					legacyOverview,
 					prometheus.GaugeValue,
 					float64(devs.Device.Usedmem)*float64(1024)*float64(1024),
-					nodeID, devs.Device.ID, fmt.Sprint(devs.Device.Index), fmt.Sprint(devs.Device.Usedcores), fmt.Sprint(devs.Device.Used), fmt.Sprint(devs.Device.Totalmem), devs.Device.Type,
+					nodeID, devs.Device.ID, fmt.Sprint(devs.Device.Index), fmt.Sprint(devs.Device.Totalcore), fmt.Sprint(devs.Device.Totalmem), devs.Device.Type,
 				)
 				ch <- prometheus.MustNewConstMetric(
 					legacyMemoryPercentage,
diff --git a/skill/hami-vgpu-metrics-summary/SKILL.md b/skill/hami-vgpu-metrics-summary/SKILL.md
index c165741dca..11e0e9cb1b 100644
--- a/skill/hami-vgpu-metrics-summary/SKILL.md
+++ b/skill/hami-vgpu-metrics-summary/SKILL.md
@@ -245,10 +245,12 @@ These are emitted in **bytes**, even though internal scheduler state stores memo
 These are emitted directly from quota manager `q.Used` and should be interpreted as **MiB-like GPU memory units**, not bytes.
 
 **Overview labels**
+- `hami_node_gpu_overview.device_cores`
 - `hami_node_gpu_overview.device_memory_limit`
+- legacy `nodeGPUOverview.devicecores`
 - legacy `nodeGPUOverview.devicememorylimit`
 
-These label values are also in **MiB-like units**.
+These label values are static. Memory limits are in **MiB-like units**, and cores are integers.
 
 Use these conversions when needed: