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docs/collector.gpu.md
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docs/collector.gpu.md
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# gpu collector
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The gpu collector exposes metrics about GPU usage and memory consumption, both at the adapter (physical GPU) and
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per-process level.
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| | |
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|---------------------|--------------------------------------|
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| Metric name prefix | `gpu` |
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| Data source | Perflib |
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| Counters | GPU Engine, GPU Adapter, GPU Process |
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| Enabled by default? | No |
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## Flags
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None
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## Metrics
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These metrics are available on supported versions of Windows with compatible GPUs and drivers:
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### Adapter-level Metrics
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| Name | Description | Type | Labels |
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|----------------------------------------------|----------------------------------------------------------|-------|--------|
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| `windows_gpu_adapter_memory_committed_bytes` | Total committed GPU memory in bytes per physical GPU | gauge | `phys` |
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| `windows_gpu_adapter_memory_dedicated_bytes` | Dedicated GPU memory usage in bytes per physical GPU | gauge | `phys` |
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| `windows_gpu_adapter_memory_shared_bytes` | Shared GPU memory usage in bytes per physical GPU | gauge | `phys` |
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| `windows_gpu_local_adapter_memory_bytes` | Local adapter memory usage in bytes per physical GPU | gauge | `phys` |
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| `windows_gpu_non_local_adapter_memory_bytes` | Non-local adapter memory usage in bytes per physical GPU | gauge | `phys` |
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### Per-process Metrics
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| Name | Description | Type | Labels |
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|----------------------------------------------|-------------------------------------------------|---------|----------------------------------------|
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| `windows_gpu_engine_time_seconds` | Total running time of the GPU engine in seconds | counter | `phys`, `eng`, `engtype`, `process_id` |
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| `windows_gpu_process_memory_committed_bytes` | Total committed GPU memory in bytes per process | gauge | `phys`,`process_id` |
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| `windows_gpu_process_memory_dedicated_bytes` | Dedicated GPU memory usage in bytes per process | gauge | `phys`,`process_id` |
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| `windows_gpu_process_memory_local_bytes` | Local GPU memory usage in bytes per process | gauge | `phys`,`process_id` |
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| `windows_gpu_process_memory_non_local_bytes` | Non-local GPU memory usage in bytes per process | gauge | `phys`,`process_id` |
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| `windows_gpu_process_memory_shared_bytes` | Shared GPU memory usage in bytes per process | gauge | `phys`,`process_id` |
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## Metric Labels
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* `phys`: Physical GPU index (e.g., "0")
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* `eng`: GPU engine index (e.g., "0", "1", ...)
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* `engtype`: GPU engine type (e.g., "3D", "Copy", "VideoDecode", etc.)
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* `process_id`: Process ID
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## Example Metric
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These are basic queries to help you get started with GPU monitoring on Windows using Prometheus.
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**Show total dedicated GPU memory (in bytes) usage on GPU 0:**
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```promql
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windows_gpu_adapter_memory_dedicated_bytes{phys="0"}
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```
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**Aggregate GPU utilization across all processes for a physical GPU (3D engine):**
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```promql
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sum by (phys) (
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rate(windows_gpu_engine_time_seconds{phys="0", engtype="3D"}[1m])
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) * 100
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```
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**Show GPU utilization for a specific process (3D engine):**
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```promql
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sum by (phys, process_id) (
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rate(windows_gpu_engine_time_seconds{process_id="1234", engtype="3D"}[1m])
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) * 100
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```
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**Show dedicated GPU memory per process:**
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```promql
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windows_gpu_adapter_memory_dedicated_bytes
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```
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## Useful Queries
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**Show top 5 processes by GPU utilization (all engines):**
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```promql
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topk(5, sum by (process_id) (
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rate(windows_gpu_engine_time_seconds[1m])
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) * 100)
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```
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**Show GPU memory usage per physical GPU:**
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```promql
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sum by (phys) (
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windows_gpu_adapter_memory_dedicated_bytes
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)
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```
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Show GPU engine time with process owner and command line:
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```promql
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windows_gpu_engine_time_seconds * on(process_id) group_left(owner, cmdline) windows_process_info
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```
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## Alerting Examples
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**prometheus.rules**
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```yaml
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# Alert on processes using more than 80% of a GPU's capacity over 10 minutes
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- alert: HighGpuUtilization
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expr: |
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sum by (process_id) (
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rate(windows_gpu_engine_time_seconds[1m])
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) * 100 > 80
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for: 10m
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labels:
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severity: warning
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annotations:
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summary: "High GPU Utilization (process {{ $labels.process_id }})"
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description: "Process is using more than 80% of GPU resources\n VALUE = {{ $value }}\n LABELS: {{ $labels }}"
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```
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## Notes
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* Per-process metrics allow you to identify which processes are consuming GPU resources.
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* Adapter-level metrics provide an overview of total GPU memory usage.
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* For overall GPU utilization, aggregate per-process metrics in Prometheus using queries such as `sum()`.
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* The collector relies on Windows performance counters; ensure your system and drivers support these counters.
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## Enabling the Collector
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To enable the GPU collector, add `gpu` to the list of enabled collectors in your windows_exporter configuration.
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Example (command line):
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```shell
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windows_exporter.exe --collectors.enabled=gpu
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```
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