{"id":19310968,"url":"https://github.com/a0s/nvidia-smi-exporter","last_synced_at":"2025-04-22T14:30:22.755Z","repository":{"id":39869647,"uuid":"137515832","full_name":"a0s/nvidia-smi-exporter","owner":"a0s","description":"Nvidia-smi Prometheus exporter with respecting of 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SMI Exporter\n---------------------\nAnother one nvidia-smi data exporter for Prometheus.\n\n\u003cimg src=\"https://user-images.githubusercontent.com/418868/41509784-db9ee64a-7261-11e8-9bbb-556967876649.jpg\" width=\"900\"\u003e\n\n```bash\n\u003e curl localhost:9454/ping\nOK\n\n\u003e curl localhost:9454/metrics\nnvidia_smi_attached_gpus 2\nnvidia_smi_display_mode{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 1\nnvidia_smi_display_active{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 0\nnvidia_smi_persistence_mode{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 1\nnvidia_smi_accounting_mode{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 0\nnvidia_smi_accounting_mode_buffer_size{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 4000\nnvidia_smi_minor_number{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 0\nnvidia_smi_multigpu_board{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 0\nnvidia_smi_inforom_version_oem_object{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 1.1\nnvidia_smi_pci_pci_sub_system_id{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 37021458\nnvidia_smi_pci_pci_gpu_link_info_pcie_gen_max_link_gen{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 3\nnvidia_smi_pci_pci_gpu_link_info_pcie_gen_current_link_gen{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 3\nnvidia_smi_pci_pci_gpu_link_info_link_widths_max_link_width{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 16\nnvidia_smi_pci_pci_gpu_link_info_link_widths_current_link_width{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 1\nnvidia_smi_pci_replay_counter{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 65535\nnvidia_smi_pci_replay_rollover_counter{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 0\nnvidia_smi_pci_tx_util_bytes_per_second{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 11264000\nnvidia_smi_pci_rx_util_bytes_per_second{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 31744000\nnvidia_smi_fan_speed_ratio{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 0.53\nnvidia_smi_performance_state{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 2\nnvidia_smi_clocks_throttle_reasons_clocks_throttle_reason_gpu_idle{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 0\nnvidia_smi_clocks_throttle_reasons_clocks_throttle_reason_applications_clocks_setting{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 0\nnvidia_smi_clocks_throttle_reasons_clocks_throttle_reason_sw_power_cap{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 1\nnvidia_smi_clocks_throttle_reasons_clocks_throttle_reason_hw_slowdown{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 0\nnvidia_smi_clocks_throttle_reasons_clocks_throttle_reason_hw_thermal_slowdown{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 0\nnvidia_smi_clocks_throttle_reasons_clocks_throttle_reason_hw_power_brake_slowdown{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 0\nnvidia_smi_clocks_throttle_reasons_clocks_throttle_reason_sync_boost{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 0\nnvidia_smi_clocks_throttle_reasons_clocks_throttle_reason_sw_thermal_slowdown{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 0\nnvidia_smi_clocks_throttle_reasons_clocks_throttle_reason_display_clocks_setting{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 0\nnvidia_smi_fb_memory_usage_total_bytes{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 8510242816\nnvidia_smi_fb_memory_usage_used_bytes{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 3040870400\nnvidia_smi_fb_memory_usage_free_bytes{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 5469372416\nnvidia_smi_bar1_memory_usage_total_bytes{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 268435456\nnvidia_smi_bar1_memory_usage_used_bytes{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 5242880\nnvidia_smi_bar1_memory_usage_free_bytes{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 263192576\nnvidia_smi_compute_mode{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 0\nnvidia_smi_utilization_gpu_util_ratio{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 1.0\nnvidia_smi_utilization_memory_util_ratio{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 1.0\nnvidia_smi_utilization_encoder_util_ratio{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 0.0\nnvidia_smi_utilization_decoder_util_ratio{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 0.0\nnvidia_smi_encoder_stats_session_count{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 0\nnvidia_smi_encoder_stats_average_fps{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 0\nnvidia_smi_encoder_stats_average_latency{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 0\nnvidia_smi_fbc_stats_session_count{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 0\nnvidia_smi_fbc_stats_average_fps{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 0\nnvidia_smi_fbc_stats_average_latency{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 0\nnvidia_smi_temperature_gpu_temp_celsius{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 67.0\nnvidia_smi_temperature_gpu_temp_max_threshold_celsius{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 96.0\nnvidia_smi_temperature_gpu_temp_slow_threshold_celsius{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 93.0\nnvidia_smi_temperature_gpu_target_temperature_celsius{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 83.0\nnvidia_smi_supported_gpu_target_temp_gpu_target_temp_min_celsius{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 60.0\nnvidia_smi_supported_gpu_target_temp_gpu_target_temp_max_celsius{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 92.0\nnvidia_smi_power_readings_power_state{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 2\nnvidia_smi_power_readings_power_management{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 1\nnvidia_smi_power_readings_power_draw_watts{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 211.86\nnvidia_smi_power_readings_power_limit_watts{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 216.0\nnvidia_smi_power_readings_default_power_limit_watts{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 200.0\nnvidia_smi_power_readings_enforced_power_limit_watts{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 216.0\nnvidia_smi_power_readings_min_power_limit_watts{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 100.0\nnvidia_smi_power_readings_max_power_limit_watts{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 216.0\nnvidia_smi_clocks_graphics_clock_hz{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 1784000000.0\nnvidia_smi_clocks_sm_clock_hz{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 1784000000.0\nnvidia_smi_clocks_mem_clock_hz{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 5514000000.0\nnvidia_smi_clocks_video_clock_hz{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 1594000000.0\nnvidia_smi_max_clocks_graphics_clock_hz{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 1999000000.0\nnvidia_smi_max_clocks_sm_clock_hz{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 1999000000.0\nnvidia_smi_max_clocks_mem_clock_hz{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 5005000000.0\nnvidia_smi_max_clocks_video_clock_hz{uuid=\"683c6e09-3969-31a5-b7ca-cc88252b7fce\"} 1708000000.0\n```\n\nCaveats\n=======\n\nIn XML mode (see below) the exporter skips all implicit arrays like this:\n\n```xml\n\u003csupported_clocks\u003e\n  \u003csupported_mem_clock\u003e\n    \u003cvalue\u003e3504 MHz\u003c/value\u003e\n    \u003csupported_graphics_clock\u003e1721 MHz\u003c/supported_graphics_clock\u003e \u003c== will skip all supported_graphics_clock\n    \u003csupported_graphics_clock\u003e1708 MHz\u003c/supported_graphics_clock\u003e\n    \u003csupported_graphics_clock\u003e1695 MHz\u003c/supported_graphics_clock\u003e\n    \u003csupported_graphics_clock\u003e1683 MHz\u003c/supported_graphics_clock\u003e\n    \u003csupported_graphics_clock\u003e1670 MHz\u003c/supported_graphics_clock\u003e\n    \u003csupported_graphics_clock\u003e1657 MHz\u003c/supported_graphics_clock\u003e\n    \u003csupported_graphics_clock\u003e1645 MHz\u003c/supported_graphics_clock\u003e\n    \u003csupported_graphics_clock\u003e1632 MHz\u003c/supported_graphics_clock\u003e\n```\n\nAlso, it skips all empty and \"N/A\" values (and their keys accordingly).\n\nPrometheus is [not supporting](https://github.com/prometheus/prometheus/issues/2227) string values, thus exporter converts some strings to numbers:\n   - `Disabled`, `Not Active`, `No`, `Not Supported` and `Unsupported` will convert to 0\n   - `Enabled`, `Active`, `Yes`, `Supported` will convert to 1\n   - `P0`..`P15` will convert to 0..15\n   - `1x`, `2x`, `4x`, `8x`, `16x`, `32x` (pci lines) will convert to 1,2,4,8,16,32\n   - `Default`, `Exclusive_Thread`, `Prohibited`, `Exclusive_Process` (_compute_mode) will convert to 0..3\n\nOther not integer/float strings will eliminate.\n\nRun in Docker\n=============\n\n`nvidia-smi` requires using the same versions of packages (`libnvidia-compute-460` and `nvidia-utils-460`) inside the container and outside (on the host).\n\n1) Get driver version on the host:\n\n    ```shell\n    \u003e dpkg --list | grep nvidia-driver-460\n    ii  nvidia-driver-460                    460.27.04-0ubuntu1                    amd64        NVIDIA driver metapackage\n    ```\n\n2) Build container with appropriate version of driver:\n\n    ```shell\n    \u003e docker build . --tag nvidia-smi-exporter --build-arg NVIDIA_VERSION=460.27.04-0ubuntu1\n    ```\n    \n   All available versions can be found [in the Cuda repository](https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/)\n\n3) Run with `--privileged` flag (not recommended due to security)\n    ```shell\n    \u003e docker run --rm --privileged -p 9454:9454 nvidia-smi-exporter\n    ```\n   \n    or enumerating (map inside container) all devices explicitly\n\n    ```shell\n    \u003e docker run --rm \\\n      --device /dev/nvidiactl:/dev/nvidiactl \\\n      --device /dev/nvidia0:/dev/nvidia0 \\\n      --device /dev/nvidia1:/dev/nvidia1 \\\n      -p 9454:9454 nvidia-smi-exporter\n    ```\n\nParameters\n==================\n\nThere are several environment variables to setting runtime parameters:\n\n- `NVIDIA_SMI_EXPORTER_BINARY` - path to nvidia-smi executive binary, default: `$(which nvidia-smi)`\n\n- `NVIDIA_SMI_EXPORTER_PORT` - a port where the server will be started, default: `9454`\n\n- `NVIDIA_SMI_EXPORTER_HOST` - a host where the server will be started, default: `0.0.0.0`\n\n- `NVIDIA_SMI_EXPORTER_NAME_PREFIX` - prefix for every parameter name in output, default: `nvidia_smi_`\n\n- `NVIDIA_SMI_EXPORTER_SOURCE` - source to processing - `xml` or `csv`, default: `xml`.\n  \n\nWhen `NVIDIA_SMI_EXPORTER_SOURCE` == `csv`:\n\n- `NVIDIA_SMI_EXPORTER_QUERY` - comma-separated list to query parameters from nvidia-smi, default: `clocks.current.graphics,clocks.current.memory,clocks.current.sm,clocks.current.video,clocks.max.graphics,clocks.max.memory,clocks.max.sm,fan.speed,memory.total,memory.used,power.draw,power.limit,temperature.gpu,utilization.gpu,utilization.memory`\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fa0s%2Fnvidia-smi-exporter","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fa0s%2Fnvidia-smi-exporter","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fa0s%2Fnvidia-smi-exporter/lists"}