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Jan-Otto KröpkeandClaude Opus 5.5
15f290c8c8
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Jan-Otto Kröpke <mail@jkroepke.de>
196 lines
11 KiB
Markdown
196 lines
11 KiB
Markdown
# 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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| Metric name prefix | `gpu` |
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| Data source | Perflib, D3DKMT (dxgkrnl) |
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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_info` | A metric with a constant '1' value labeled with GPU device information. | gauge | `architecture`,`bus_number`,`device_id`,`driver_version`,`function_number`,`luid`,`name`,`phys`,`wddm_version` |
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| `windows_gpu_dedicated_system_memory_size_bytes` | The size, in bytes, of memory that is dedicated from system memory. | gauge | `device_id`,`luid` |
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| `windows_gpu_dedicated_video_memory_size_bytes` | The size, in bytes, of memory that is dedicated from video memory. | gauge | `device_id`,`luid` |
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| `windows_gpu_shared_system_memory_size_bytes` | The size, in bytes, of memory from system memory that can be shared by many users. | gauge | `device_id`,`luid` |
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| `windows_gpu_adapter_memory_committed_bytes` | Total committed GPU memory in bytes per physical GPU | gauge | `device_id`,`luid`,`phys` |
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| `windows_gpu_adapter_memory_dedicated_bytes` | Dedicated GPU memory usage in bytes per physical GPU | gauge | `device_id`,`luid`,`phys` |
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| `windows_gpu_adapter_memory_shared_bytes` | Shared GPU memory usage in bytes per physical GPU | gauge | `device_id`,`luid`,`phys` |
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| `windows_gpu_local_adapter_memory_bytes` | Local adapter memory usage in bytes per physical GPU | gauge | `device_id`,`luid`,`phys`,`part` |
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| `windows_gpu_non_local_adapter_memory_bytes` | Non-local adapter memory usage in bytes per physical GPU | gauge | `device_id`,`luid`,`phys`,`part` |
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The `driver_version`, `wddm_version` and `architecture` labels of `windows_gpu_info` are empty if the driver does not report them.
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### Sensor Metrics
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The sensor metrics are read from the graphics kernel (dxgkrnl) with `D3DKMTQueryAdapterInfo`, the same source Task Manager
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uses. They are vendor-neutral, but depend on WDDM 2.4 or newer and on driver support. Drivers report 0 for values they do
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not support, so a metric is only exposed if the driver reported a non-zero value or capability for it at startup. Microsoft
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software adapters, like the Microsoft Basic Render Driver, are skipped and never queried. Query failures are logged at debug
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level and never fail the scrape.
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| Name | Description | Type | Labels |
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|--------------------------------------------|---------------------------------------------------------------------------------------|---------|---------------------------------|
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| `windows_gpu_temperature_celsius` | Main temperature sensor reading of the physical GPU in degrees Celsius | gauge | `device_id`,`luid`,`phys` |
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| `windows_gpu_temperature_warning_celsius` | Temperature in degrees Celsius at which the physical GPU starts throttling | gauge | `device_id`,`luid`,`phys` |
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| `windows_gpu_temperature_max_celsius` | Maximum temperature in degrees Celsius before the physical GPU takes damage | gauge | `device_id`,`luid`,`phys` |
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| `windows_gpu_fan_speed_rpm` | Current speed of the main fan in revolutions per minute (0 while the fan is stopped) | gauge | `device_id`,`luid`,`phys` |
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| `windows_gpu_fan_speed_max_rpm` | Maximum speed of the main fan in revolutions per minute | gauge | `device_id`,`luid`,`phys` |
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| `windows_gpu_power_usage_ratio` | Current power draw as a ratio (0–1) of the maximum power (TDP) of the physical GPU | gauge | `device_id`,`luid`,`phys` |
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| `windows_gpu_memory_frequency_hertz` | Current clock frequency of the GPU memory in hertz | gauge | `device_id`,`luid`,`phys` |
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| `windows_gpu_memory_frequency_max_hertz` | Maximum clock frequency of the GPU memory in hertz, while not overclocked | gauge | `device_id`,`luid`,`phys` |
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| `windows_gpu_engine_frequency_hertz` | Current clock frequency of the GPU engine in hertz | gauge | `device_id`,`luid`,`phys`,`eng` |
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| `windows_gpu_engine_frequency_max_hertz` | Maximum clock frequency of the GPU engine in hertz, while not overclocked | gauge | `device_id`,`luid`,`phys`,`eng` |
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The engine frequency metrics are only exposed for engines that report a maximum frequency, typically the 3D engine. The
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`eng` label matches the `eng` label of `windows_gpu_engine_time_seconds`.
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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 | `device_id`,`luid`,`phys`, `eng`, `engtype`, `process_id` |
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| `windows_gpu_process_memory_committed_bytes` | Total committed GPU memory in bytes per process | gauge | `device_id`,`luid`,`phys`,`process_id` |
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| `windows_gpu_process_memory_dedicated_bytes` | Dedicated GPU memory usage in bytes per process | gauge | `device_id`,`luid`,`phys`,`process_id` |
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| `windows_gpu_process_memory_local_bytes` | Local GPU memory usage in bytes per process | gauge | `device_id`,`luid`,`phys`,`process_id` |
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| `windows_gpu_process_memory_non_local_bytes` | Non-local GPU memory usage in bytes per process | gauge | `device_id`,`luid`,`phys`,`process_id` |
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| `windows_gpu_process_memory_shared_bytes` | Shared GPU memory usage in bytes per process | gauge | `device_id`,`luid`,`phys`,`process_id` |
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## Metric Labels
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* `luid`,`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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* `driver_version`: Kernel mode driver version (e.g., "32.0.15.8266")
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* `wddm_version`: WDDM version of the driver (e.g., "3.2")
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* `architecture`: GPU architecture as reported by the driver (e.g., "Pascal")
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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 GPU information for a specific physical GPU (0):**
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```promql
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windows_gpu_info{bus_number="8",device_id="PCI\\VEN_10DE&DEV_1B81&SUBSYS_61733842&REV_A1",function_number="0",luid="0x00000000_0x00010F8A",name="NVIDIA GeForce GTX 1070",phys="0"} 1
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```
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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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**Show the engine clock as a ratio of its maximum clock:**
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```promql
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windows_gpu_engine_frequency_hertz / windows_gpu_engine_frequency_max_hertz
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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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# Alert on GPUs running within 5 °C of their throttling temperature
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- alert: GpuTemperatureHigh
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expr: |
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windows_gpu_temperature_celsius > windows_gpu_temperature_warning_celsius - 5
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: "GPU temperature high (luid {{ $labels.luid }})"
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description: "GPU is close to its throttling temperature\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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* Sensor metrics (temperature, fan, power, clocks) require WDDM 2.4 or newer and a driver that reports these values.
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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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