Regenerate integrations.js (#18312)
Co-authored-by: ilyam8 <22274335+ilyam8@users.noreply.github.com>
Netdata bot committed
Aug 12, 2024 at 04:55 UTC
67824a216bbe38eb7cb65108d26663abc59318c1
3 files changed
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integrations/integrations.js
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@@ -5542,10 +5542,10 @@ export const integrations = [
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"most_popular": false
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},
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"overview": "# Nvidia GPU\n\nPlugin: go.d.plugin\nModule: nvidia_smi\n\n## Overview\n\nThis collector monitors GPUs performance metrics using\nthe [nvidia-smi](https://developer.nvidia.com/nvidia-system-management-interface) CLI tool.\n\n> **Warning**: under development, [loop mode](https://github.com/netdata/netdata/issues/14522) not implemented yet.\n\n\n\n\nThis collector is supported on all platforms.\n\nThis collector supports collecting metrics from multiple instances of this integration, including remote instances.\n\n\n### Default Behavior\n\n#### Auto-Detection\n\nThis integration doesn't support auto-detection.\n\n#### Limits\n\nThe default configuration for this integration does not impose any limits on data collection.\n\n#### Performance Impact\n\nThe default configuration for this integration is not expected to impose a significant performance impact on the system.\n",
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- "setup": "## Setup\n\n### Prerequisites\n\n#### Enable in go.d.conf.\n\nThis collector is disabled by default. You need to explicitly enable it in the `go.d.conf` file.\n\n\n\n### Configuration\n\n#### File\n\nThe configuration file name for this integration is `go.d/nvidia_smi.conf`.\n\n\nYou can edit the configuration file using the `edit-config` script from the\nNetdata [config directory](/docs/netdata-agent/configuration/README.md#the-netdata-config-directory).\n\n```bash\ncd /etc/netdata 2>/dev/null || cd /opt/netdata/etc/netdata\nsudo ./edit-config go.d/nvidia_smi.conf\n```\n#### Options\n\nThe following options can be defined globally: update_every, autodetection_retry.\n\n\n{% details open=true summary=\"Config options\" %}\n| Name | Description | Default | Required |\n|:----|:-----------|:-------|:--------:|\n| update_every | Data collection frequency. | 10 | no |\n| autodetection_retry | Recheck interval in seconds. Zero means no recheck will be scheduled. | 0 | no |\n| binary_path | Path to nvidia_smi binary. The default is \"nvidia_smi\" and the executable is looked for in the directories specified in the PATH environment variable. | nvidia_smi | no |\n| timeout | nvidia_smi binary execution timeout. | 2 | no |\n| use_csv_format | Used format when requesting GPU information. XML is used if set to 'no'. | no | no |\n\n{% /details %}\n#### Examples\n\n##### CSV format\n\nUse CSV format when requesting GPU information.\n\n{% details open=true summary=\"Config\" %}\n```yaml\njobs:\n - name: nvidia_smi\n use_csv_format: yes\n\n```\n{% /details %}\n##### Custom binary path\n\nThe executable is not in the directories specified in the PATH environment variable.\n\n{% details open=true summary=\"Config\" %}\n```yaml\njobs:\n - name: nvidia_smi\n binary_path: /usr/local/sbin/nvidia_smi\n\n```\n{% /details %}\n",
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+ "setup": "## Setup\n\n### Prerequisites\n\n#### Enable in go.d.conf.\n\nThis collector is disabled by default. You need to explicitly enable it in the `go.d.conf` file.\n\n\n\n### Configuration\n\n#### File\n\nThe configuration file name for this integration is `go.d/nvidia_smi.conf`.\n\n\nYou can edit the configuration file using the `edit-config` script from the\nNetdata [config directory](/docs/netdata-agent/configuration/README.md#the-netdata-config-directory).\n\n```bash\ncd /etc/netdata 2>/dev/null || cd /opt/netdata/etc/netdata\nsudo ./edit-config go.d/nvidia_smi.conf\n```\n#### Options\n\nThe following options can be defined globally: update_every, autodetection_retry.\n\n\n{% details open=true summary=\"Config options\" %}\n| Name | Description | Default | Required |\n|:----|:-----------|:-------|:--------:|\n| update_every | Data collection frequency. | 10 | no |\n| autodetection_retry | Recheck interval in seconds. Zero means no recheck will be scheduled. | 0 | no |\n| binary_path | Path to nvidia_smi binary. The default is \"nvidia_smi\" and the executable is looked for in the directories specified in the PATH environment variable. | nvidia_smi | no |\n| timeout | nvidia_smi binary execution timeout. | 2 | no |\n\n{% /details %}\n#### Examples\n\n##### Custom binary path\n\nThe executable is not in the directories specified in the PATH environment variable.\n\n{% details open=true summary=\"Config\" %}\n```yaml\njobs:\n - name: nvidia_smi\n binary_path: /usr/local/sbin/nvidia_smi\n\n```\n{% /details %}\n",
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"troubleshooting": "## Troubleshooting\n\n### Debug Mode\n\nTo troubleshoot issues with the `nvidia_smi` collector, run the `go.d.plugin` with the debug option enabled. The output\nshould give you clues as to why the collector isn't working.\n\n- Navigate to the `plugins.d` directory, usually at `/usr/libexec/netdata/plugins.d/`. If that's not the case on\n your system, open `netdata.conf` and look for the `plugins` setting under `[directories]`.\n\n ```bash\n cd /usr/libexec/netdata/plugins.d/\n ```\n\n- Switch to the `netdata` user.\n\n ```bash\n sudo -u netdata -s\n ```\n\n- Run the `go.d.plugin` to debug the collector:\n\n ```bash\n ./go.d.plugin -d -m nvidia_smi\n ```\n\n### Getting Logs\n\nIf you're encountering problems with the `nvidia_smi` collector, follow these steps to retrieve logs and identify potential issues:\n\n- **Run the command** specific to your system (systemd, non-systemd, or Docker container).\n- **Examine the output** for any warnings or error messages that might indicate issues. These messages should provide clues about the root cause of the problem.\n\n#### System with systemd\n\nUse the following command to view logs generated since the last Netdata service restart:\n\n```bash\njournalctl _SYSTEMD_INVOCATION_ID=\"$(systemctl show --value --property=InvocationID netdata)\" --namespace=netdata --grep nvidia_smi\n```\n\n#### System without systemd\n\nLocate the collector log file, typically at `/var/log/netdata/collector.log`, and use `grep` to filter for collector's name:\n\n```bash\ngrep nvidia_smi /var/log/netdata/collector.log\n```\n\n**Note**: This method shows logs from all restarts. Focus on the **latest entries** for troubleshooting current issues.\n\n#### Docker Container\n\nIf your Netdata runs in a Docker container named \"netdata\" (replace if different), use this command:\n\n```bash\ndocker logs netdata 2>&1 | grep nvidia_smi\n```\n\n",
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"alerts": "## Alerts\n\nThere are no alerts configured by default for this integration.\n",
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- "metrics": "## Metrics\n\nMetrics grouped by *scope*.\n\nThe scope defines the instance that the metric belongs to. An instance is uniquely identified by a set of labels.\n\n\n\n### Per gpu\n\nThese metrics refer to the GPU.\n\nLabels:\n\n| Label | Description |\n|:-----------|:----------------|\n| uuid | GPU id (e.g. 00000000:00:04.0) |\n| product_name | GPU product name (e.g. NVIDIA A100-SXM4-40GB) |\n\nMetrics:\n\n| Metric | Dimensions | Unit | XML | CSV |\n|:------|:----------|:----|:---:|:---:|\n| nvidia_smi.gpu_pcie_bandwidth_usage | rx, tx | B/s | \u2022 | |\n| nvidia_smi.gpu_pcie_bandwidth_utilization | rx, tx | % | \u2022 | |\n| nvidia_smi.gpu_fan_speed_perc | fan_speed | % | \u2022 | \u2022 |\n| nvidia_smi.gpu_utilization | gpu | % | \u2022 | \u2022 |\n| nvidia_smi.gpu_memory_utilization | memory | % | \u2022 | \u2022 |\n| nvidia_smi.gpu_decoder_utilization | decoder | % | \u2022 | |\n| nvidia_smi.gpu_encoder_utilization | encoder | % | \u2022 | |\n| nvidia_smi.gpu_frame_buffer_memory_usage | free, used, reserved | B | \u2022 | \u2022 |\n| nvidia_smi.gpu_bar1_memory_usage | free, used | B | \u2022 | |\n| nvidia_smi.gpu_temperature | temperature | Celsius | \u2022 | \u2022 |\n| nvidia_smi.gpu_voltage | voltage | V | \u2022 | |\n| nvidia_smi.gpu_clock_freq | graphics, video, sm, mem | MHz | \u2022 | \u2022 |\n| nvidia_smi.gpu_power_draw | power_draw | Watts | \u2022 | \u2022 |\n| nvidia_smi.gpu_performance_state | P0-P15 | state | \u2022 | \u2022 |\n| nvidia_smi.gpu_mig_mode_current_status | enabled, disabled | status | \u2022 | |\n| nvidia_smi.gpu_mig_devices_count | mig | devices | \u2022 | |\n\n### Per mig\n\nThese metrics refer to the Multi-Instance GPU (MIG).\n\nLabels:\n\n| Label | Description |\n|:-----------|:----------------|\n| uuid | GPU id (e.g. 00000000:00:04.0) |\n| product_name | GPU product name (e.g. NVIDIA A100-SXM4-40GB) |\n| gpu_instance_id | GPU instance id (e.g. 1) |\n\nMetrics:\n\n| Metric | Dimensions | Unit | XML | CSV |\n|:------|:----------|:----|:---:|:---:|\n| nvidia_smi.gpu_mig_frame_buffer_memory_usage | free, used, reserved | B | \u2022 | |\n| nvidia_smi.gpu_mig_bar1_memory_usage | free, used | B | \u2022 | |\n\n",
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+ "metrics": "## Metrics\n\nMetrics grouped by *scope*.\n\nThe scope defines the instance that the metric belongs to. An instance is uniquely identified by a set of labels.\n\n\n\n### Per gpu\n\nThese metrics refer to the GPU.\n\nLabels:\n\n| Label | Description |\n|:-----------|:----------------|\n| uuid | GPU id (e.g. 00000000:00:04.0) |\n| product_name | GPU product name (e.g. NVIDIA A100-SXM4-40GB) |\n\nMetrics:\n\n| Metric | Dimensions | Unit |\n|:------|:----------|:----|\n| nvidia_smi.gpu_pcie_bandwidth_usage | rx, tx | B/s |\n| nvidia_smi.gpu_pcie_bandwidth_utilization | rx, tx | % |\n| nvidia_smi.gpu_fan_speed_perc | fan_speed | % |\n| nvidia_smi.gpu_utilization | gpu | % |\n| nvidia_smi.gpu_memory_utilization | memory | % |\n| nvidia_smi.gpu_decoder_utilization | decoder | % |\n| nvidia_smi.gpu_encoder_utilization | encoder | % |\n| nvidia_smi.gpu_frame_buffer_memory_usage | free, used, reserved | B |\n| nvidia_smi.gpu_bar1_memory_usage | free, used | B |\n| nvidia_smi.gpu_temperature | temperature | Celsius |\n| nvidia_smi.gpu_voltage | voltage | V |\n| nvidia_smi.gpu_clock_freq | graphics, video, sm, mem | MHz |\n| nvidia_smi.gpu_power_draw | power_draw | Watts |\n| nvidia_smi.gpu_performance_state | P0-P15 | state |\n| nvidia_smi.gpu_mig_mode_current_status | enabled, disabled | status |\n| nvidia_smi.gpu_mig_devices_count | mig | devices |\n\n### Per mig\n\nThese metrics refer to the Multi-Instance GPU (MIG).\n\nLabels:\n\n| Label | Description |\n|:-----------|:----------------|\n| uuid | GPU id (e.g. 00000000:00:04.0) |\n| product_name | GPU product name (e.g. NVIDIA A100-SXM4-40GB) |\n| gpu_instance_id | GPU instance id (e.g. 1) |\n\nMetrics:\n\n| Metric | Dimensions | Unit |\n|:------|:----------|:----|\n| nvidia_smi.gpu_mig_frame_buffer_memory_usage | free, used, reserved | B |\n| nvidia_smi.gpu_mig_bar1_memory_usage | free, used | B |\n\n",
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"integration_type": "collector",
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"id": "go.d.plugin-nvidia_smi-Nvidia_GPU",
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"edit_link": "https://github.com/netdata/netdata/blob/master/src/go/plugin/go.d/modules/nvidia_smi/metadata.yaml",
integrations/integrations.json
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@@ -5540,10 +5540,10 @@
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"most_popular": false
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},
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"overview": "# Nvidia GPU\n\nPlugin: go.d.plugin\nModule: nvidia_smi\n\n## Overview\n\nThis collector monitors GPUs performance metrics using\nthe [nvidia-smi](https://developer.nvidia.com/nvidia-system-management-interface) CLI tool.\n\n> **Warning**: under development, [loop mode](https://github.com/netdata/netdata/issues/14522) not implemented yet.\n\n\n\n\nThis collector is supported on all platforms.\n\nThis collector supports collecting metrics from multiple instances of this integration, including remote instances.\n\n\n### Default Behavior\n\n#### Auto-Detection\n\nThis integration doesn't support auto-detection.\n\n#### Limits\n\nThe default configuration for this integration does not impose any limits on data collection.\n\n#### Performance Impact\n\nThe default configuration for this integration is not expected to impose a significant performance impact on the system.\n",
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- "setup": "## Setup\n\n### Prerequisites\n\n#### Enable in go.d.conf.\n\nThis collector is disabled by default. You need to explicitly enable it in the `go.d.conf` file.\n\n\n\n### Configuration\n\n#### File\n\nThe configuration file name for this integration is `go.d/nvidia_smi.conf`.\n\n\nYou can edit the configuration file using the `edit-config` script from the\nNetdata [config directory](/docs/netdata-agent/configuration/README.md#the-netdata-config-directory).\n\n```bash\ncd /etc/netdata 2>/dev/null || cd /opt/netdata/etc/netdata\nsudo ./edit-config go.d/nvidia_smi.conf\n```\n#### Options\n\nThe following options can be defined globally: update_every, autodetection_retry.\n\n\n| Name | Description | Default | Required |\n|:----|:-----------|:-------|:--------:|\n| update_every | Data collection frequency. | 10 | no |\n| autodetection_retry | Recheck interval in seconds. Zero means no recheck will be scheduled. | 0 | no |\n| binary_path | Path to nvidia_smi binary. The default is \"nvidia_smi\" and the executable is looked for in the directories specified in the PATH environment variable. | nvidia_smi | no |\n| timeout | nvidia_smi binary execution timeout. | 2 | no |\n| use_csv_format | Used format when requesting GPU information. XML is used if set to 'no'. | no | no |\n\n#### Examples\n\n##### CSV format\n\nUse CSV format when requesting GPU information.\n\n```yaml\njobs:\n - name: nvidia_smi\n use_csv_format: yes\n\n```\n##### Custom binary path\n\nThe executable is not in the directories specified in the PATH environment variable.\n\n```yaml\njobs:\n - name: nvidia_smi\n binary_path: /usr/local/sbin/nvidia_smi\n\n```\n",
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+ "setup": "## Setup\n\n### Prerequisites\n\n#### Enable in go.d.conf.\n\nThis collector is disabled by default. You need to explicitly enable it in the `go.d.conf` file.\n\n\n\n### Configuration\n\n#### File\n\nThe configuration file name for this integration is `go.d/nvidia_smi.conf`.\n\n\nYou can edit the configuration file using the `edit-config` script from the\nNetdata [config directory](/docs/netdata-agent/configuration/README.md#the-netdata-config-directory).\n\n```bash\ncd /etc/netdata 2>/dev/null || cd /opt/netdata/etc/netdata\nsudo ./edit-config go.d/nvidia_smi.conf\n```\n#### Options\n\nThe following options can be defined globally: update_every, autodetection_retry.\n\n\n| Name | Description | Default | Required |\n|:----|:-----------|:-------|:--------:|\n| update_every | Data collection frequency. | 10 | no |\n| autodetection_retry | Recheck interval in seconds. Zero means no recheck will be scheduled. | 0 | no |\n| binary_path | Path to nvidia_smi binary. The default is \"nvidia_smi\" and the executable is looked for in the directories specified in the PATH environment variable. | nvidia_smi | no |\n| timeout | nvidia_smi binary execution timeout. | 2 | no |\n\n#### Examples\n\n##### Custom binary path\n\nThe executable is not in the directories specified in the PATH environment variable.\n\n```yaml\njobs:\n - name: nvidia_smi\n binary_path: /usr/local/sbin/nvidia_smi\n\n```\n",
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"troubleshooting": "## Troubleshooting\n\n### Debug Mode\n\nTo troubleshoot issues with the `nvidia_smi` collector, run the `go.d.plugin` with the debug option enabled. The output\nshould give you clues as to why the collector isn't working.\n\n- Navigate to the `plugins.d` directory, usually at `/usr/libexec/netdata/plugins.d/`. If that's not the case on\n your system, open `netdata.conf` and look for the `plugins` setting under `[directories]`.\n\n ```bash\n cd /usr/libexec/netdata/plugins.d/\n ```\n\n- Switch to the `netdata` user.\n\n ```bash\n sudo -u netdata -s\n ```\n\n- Run the `go.d.plugin` to debug the collector:\n\n ```bash\n ./go.d.plugin -d -m nvidia_smi\n ```\n\n### Getting Logs\n\nIf you're encountering problems with the `nvidia_smi` collector, follow these steps to retrieve logs and identify potential issues:\n\n- **Run the command** specific to your system (systemd, non-systemd, or Docker container).\n- **Examine the output** for any warnings or error messages that might indicate issues. These messages should provide clues about the root cause of the problem.\n\n#### System with systemd\n\nUse the following command to view logs generated since the last Netdata service restart:\n\n```bash\njournalctl _SYSTEMD_INVOCATION_ID=\"$(systemctl show --value --property=InvocationID netdata)\" --namespace=netdata --grep nvidia_smi\n```\n\n#### System without systemd\n\nLocate the collector log file, typically at `/var/log/netdata/collector.log`, and use `grep` to filter for collector's name:\n\n```bash\ngrep nvidia_smi /var/log/netdata/collector.log\n```\n\n**Note**: This method shows logs from all restarts. Focus on the **latest entries** for troubleshooting current issues.\n\n#### Docker Container\n\nIf your Netdata runs in a Docker container named \"netdata\" (replace if different), use this command:\n\n```bash\ndocker logs netdata 2>&1 | grep nvidia_smi\n```\n\n",
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"alerts": "## Alerts\n\nThere are no alerts configured by default for this integration.\n",
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- "metrics": "## Metrics\n\nMetrics grouped by *scope*.\n\nThe scope defines the instance that the metric belongs to. An instance is uniquely identified by a set of labels.\n\n\n\n### Per gpu\n\nThese metrics refer to the GPU.\n\nLabels:\n\n| Label | Description |\n|:-----------|:----------------|\n| uuid | GPU id (e.g. 00000000:00:04.0) |\n| product_name | GPU product name (e.g. NVIDIA A100-SXM4-40GB) |\n\nMetrics:\n\n| Metric | Dimensions | Unit | XML | CSV |\n|:------|:----------|:----|:---:|:---:|\n| nvidia_smi.gpu_pcie_bandwidth_usage | rx, tx | B/s | \u2022 | |\n| nvidia_smi.gpu_pcie_bandwidth_utilization | rx, tx | % | \u2022 | |\n| nvidia_smi.gpu_fan_speed_perc | fan_speed | % | \u2022 | \u2022 |\n| nvidia_smi.gpu_utilization | gpu | % | \u2022 | \u2022 |\n| nvidia_smi.gpu_memory_utilization | memory | % | \u2022 | \u2022 |\n| nvidia_smi.gpu_decoder_utilization | decoder | % | \u2022 | |\n| nvidia_smi.gpu_encoder_utilization | encoder | % | \u2022 | |\n| nvidia_smi.gpu_frame_buffer_memory_usage | free, used, reserved | B | \u2022 | \u2022 |\n| nvidia_smi.gpu_bar1_memory_usage | free, used | B | \u2022 | |\n| nvidia_smi.gpu_temperature | temperature | Celsius | \u2022 | \u2022 |\n| nvidia_smi.gpu_voltage | voltage | V | \u2022 | |\n| nvidia_smi.gpu_clock_freq | graphics, video, sm, mem | MHz | \u2022 | \u2022 |\n| nvidia_smi.gpu_power_draw | power_draw | Watts | \u2022 | \u2022 |\n| nvidia_smi.gpu_performance_state | P0-P15 | state | \u2022 | \u2022 |\n| nvidia_smi.gpu_mig_mode_current_status | enabled, disabled | status | \u2022 | |\n| nvidia_smi.gpu_mig_devices_count | mig | devices | \u2022 | |\n\n### Per mig\n\nThese metrics refer to the Multi-Instance GPU (MIG).\n\nLabels:\n\n| Label | Description |\n|:-----------|:----------------|\n| uuid | GPU id (e.g. 00000000:00:04.0) |\n| product_name | GPU product name (e.g. NVIDIA A100-SXM4-40GB) |\n| gpu_instance_id | GPU instance id (e.g. 1) |\n\nMetrics:\n\n| Metric | Dimensions | Unit | XML | CSV |\n|:------|:----------|:----|:---:|:---:|\n| nvidia_smi.gpu_mig_frame_buffer_memory_usage | free, used, reserved | B | \u2022 | |\n| nvidia_smi.gpu_mig_bar1_memory_usage | free, used | B | \u2022 | |\n\n",
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+ "metrics": "## Metrics\n\nMetrics grouped by *scope*.\n\nThe scope defines the instance that the metric belongs to. An instance is uniquely identified by a set of labels.\n\n\n\n### Per gpu\n\nThese metrics refer to the GPU.\n\nLabels:\n\n| Label | Description |\n|:-----------|:----------------|\n| uuid | GPU id (e.g. 00000000:00:04.0) |\n| product_name | GPU product name (e.g. NVIDIA A100-SXM4-40GB) |\n\nMetrics:\n\n| Metric | Dimensions | Unit |\n|:------|:----------|:----|\n| nvidia_smi.gpu_pcie_bandwidth_usage | rx, tx | B/s |\n| nvidia_smi.gpu_pcie_bandwidth_utilization | rx, tx | % |\n| nvidia_smi.gpu_fan_speed_perc | fan_speed | % |\n| nvidia_smi.gpu_utilization | gpu | % |\n| nvidia_smi.gpu_memory_utilization | memory | % |\n| nvidia_smi.gpu_decoder_utilization | decoder | % |\n| nvidia_smi.gpu_encoder_utilization | encoder | % |\n| nvidia_smi.gpu_frame_buffer_memory_usage | free, used, reserved | B |\n| nvidia_smi.gpu_bar1_memory_usage | free, used | B |\n| nvidia_smi.gpu_temperature | temperature | Celsius |\n| nvidia_smi.gpu_voltage | voltage | V |\n| nvidia_smi.gpu_clock_freq | graphics, video, sm, mem | MHz |\n| nvidia_smi.gpu_power_draw | power_draw | Watts |\n| nvidia_smi.gpu_performance_state | P0-P15 | state |\n| nvidia_smi.gpu_mig_mode_current_status | enabled, disabled | status |\n| nvidia_smi.gpu_mig_devices_count | mig | devices |\n\n### Per mig\n\nThese metrics refer to the Multi-Instance GPU (MIG).\n\nLabels:\n\n| Label | Description |\n|:-----------|:----------------|\n| uuid | GPU id (e.g. 00000000:00:04.0) |\n| product_name | GPU product name (e.g. NVIDIA A100-SXM4-40GB) |\n| gpu_instance_id | GPU instance id (e.g. 1) |\n\nMetrics:\n\n| Metric | Dimensions | Unit |\n|:------|:----------|:----|\n| nvidia_smi.gpu_mig_frame_buffer_memory_usage | free, used, reserved | B |\n| nvidia_smi.gpu_mig_bar1_memory_usage | free, used | B |\n\n",
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"integration_type": "collector",
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"id": "go.d.plugin-nvidia_smi-Nvidia_GPU",
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"edit_link": "https://github.com/netdata/netdata/blob/master/src/go/plugin/go.d/modules/nvidia_smi/metadata.yaml",
src/go/plugin/go.d/modules/nvidia_smi/integrations/nvidia_gpu.md
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Metrics:
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-| Metric | Dimensions | Unit | XML | CSV |
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-|:------|:----------|:----|:---:|:---:|
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-| nvidia_smi.gpu_pcie_bandwidth_usage | rx, tx | B/s | • | |
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-| nvidia_smi.gpu_pcie_bandwidth_utilization | rx, tx | % | • | |
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-| nvidia_smi.gpu_fan_speed_perc | fan_speed | % | • | • |
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-| nvidia_smi.gpu_utilization | gpu | % | • | • |
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-| nvidia_smi.gpu_memory_utilization | memory | % | • | • |
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-| nvidia_smi.gpu_decoder_utilization | decoder | % | • | |
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-| nvidia_smi.gpu_encoder_utilization | encoder | % | • | |
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-| nvidia_smi.gpu_frame_buffer_memory_usage | free, used, reserved | B | • | • |
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-| nvidia_smi.gpu_bar1_memory_usage | free, used | B | • | |
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-| nvidia_smi.gpu_temperature | temperature | Celsius | • | • |
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-| nvidia_smi.gpu_voltage | voltage | V | • | |
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-| nvidia_smi.gpu_clock_freq | graphics, video, sm, mem | MHz | • | • |
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-| nvidia_smi.gpu_power_draw | power_draw | Watts | • | • |
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-| nvidia_smi.gpu_performance_state | P0-P15 | state | • | • |
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-| nvidia_smi.gpu_mig_mode_current_status | enabled, disabled | status | • | |
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-| nvidia_smi.gpu_mig_devices_count | mig | devices | • | |
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+| Metric | Dimensions | Unit |
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+|:------|:----------|:----|
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+| nvidia_smi.gpu_pcie_bandwidth_usage | rx, tx | B/s |
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+| nvidia_smi.gpu_pcie_bandwidth_utilization | rx, tx | % |
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+| nvidia_smi.gpu_fan_speed_perc | fan_speed | % |
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+| nvidia_smi.gpu_utilization | gpu | % |
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+| nvidia_smi.gpu_memory_utilization | memory | % |
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+| nvidia_smi.gpu_decoder_utilization | decoder | % |
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+| nvidia_smi.gpu_encoder_utilization | encoder | % |
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+| nvidia_smi.gpu_frame_buffer_memory_usage | free, used, reserved | B |
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+| nvidia_smi.gpu_bar1_memory_usage | free, used | B |
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+| nvidia_smi.gpu_temperature | temperature | Celsius |
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+| nvidia_smi.gpu_voltage | voltage | V |
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+| nvidia_smi.gpu_clock_freq | graphics, video, sm, mem | MHz |
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+| nvidia_smi.gpu_power_draw | power_draw | Watts |
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+| nvidia_smi.gpu_performance_state | P0-P15 | state |
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+| nvidia_smi.gpu_mig_mode_current_status | enabled, disabled | status |
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+| nvidia_smi.gpu_mig_devices_count | mig | devices |
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### Per mig
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@@ -103,10 +103,10 @@ Labels:
103
104
Metrics:
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-| Metric | Dimensions | Unit | XML | CSV |
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-|:------|:----------|:----|:---:|:---:|
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-| nvidia_smi.gpu_mig_frame_buffer_memory_usage | free, used, reserved | B | • | |
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-| nvidia_smi.gpu_mig_bar1_memory_usage | free, used | B | • | |
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+| Metric | Dimensions | Unit |
107
+|:------|:----------|:----|
108
+| nvidia_smi.gpu_mig_frame_buffer_memory_usage | free, used, reserved | B |
109
+| nvidia_smi.gpu_mig_bar1_memory_usage | free, used | B |
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@@ -152,26 +152,11 @@ The following options can be defined globally: update_every, autodetection_retry
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| autodetection_retry | Recheck interval in seconds. Zero means no recheck will be scheduled. | 0 | no |
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| binary_path | Path to nvidia_smi binary. The default is "nvidia_smi" and the executable is looked for in the directories specified in the PATH environment variable. | nvidia_smi | no |
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| timeout | nvidia_smi binary execution timeout. | 2 | no |
155
-| use_csv_format | Used format when requesting GPU information. XML is used if set to 'no'. | no | no |
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</details>
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#### Examples
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161
-##### CSV format
162
-
163
-Use CSV format when requesting GPU information.
164
-
165
-<details open><summary>Config</summary>
166
-
167
-```yaml
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-jobs:
169
- - name: nvidia_smi
170
- use_csv_format: yes
171
-
172
-```
173
-</details>
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-
160
##### Custom binary path
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162
The executable is not in the directories specified in the PATH environment variable.