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Nvidia SMI Exporter

Another one nvidia-smi data exporter for Prometheus.

> curl localhost:9454/ping
OK

> curl localhost:9454/metrics
nvidia_smi_attached_gpus 2
nvidia_smi_display_mode{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 1
nvidia_smi_display_active{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 0
nvidia_smi_persistence_mode{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 1
nvidia_smi_accounting_mode{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 0
nvidia_smi_accounting_mode_buffer_size{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 4000
nvidia_smi_minor_number{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 0
nvidia_smi_multigpu_board{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 0
nvidia_smi_inforom_version_oem_object{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 1.1
nvidia_smi_pci_pci_sub_system_id{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 37021458
nvidia_smi_pci_pci_gpu_link_info_pcie_gen_max_link_gen{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 3
nvidia_smi_pci_pci_gpu_link_info_pcie_gen_current_link_gen{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 3
nvidia_smi_pci_pci_gpu_link_info_link_widths_max_link_width{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 16
nvidia_smi_pci_pci_gpu_link_info_link_widths_current_link_width{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 1
nvidia_smi_pci_replay_counter{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 65535
nvidia_smi_pci_replay_rollover_counter{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 0
nvidia_smi_pci_tx_util_bytes_per_second{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 11264000
nvidia_smi_pci_rx_util_bytes_per_second{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 31744000
nvidia_smi_fan_speed_ratio{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 0.53
nvidia_smi_performance_state{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 2
nvidia_smi_clocks_throttle_reasons_clocks_throttle_reason_gpu_idle{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 0
nvidia_smi_clocks_throttle_reasons_clocks_throttle_reason_applications_clocks_setting{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 0
nvidia_smi_clocks_throttle_reasons_clocks_throttle_reason_sw_power_cap{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 1
nvidia_smi_clocks_throttle_reasons_clocks_throttle_reason_hw_slowdown{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 0
nvidia_smi_clocks_throttle_reasons_clocks_throttle_reason_hw_thermal_slowdown{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 0
nvidia_smi_clocks_throttle_reasons_clocks_throttle_reason_hw_power_brake_slowdown{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 0
nvidia_smi_clocks_throttle_reasons_clocks_throttle_reason_sync_boost{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 0
nvidia_smi_clocks_throttle_reasons_clocks_throttle_reason_sw_thermal_slowdown{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 0
nvidia_smi_clocks_throttle_reasons_clocks_throttle_reason_display_clocks_setting{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 0
nvidia_smi_fb_memory_usage_total_bytes{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 8510242816
nvidia_smi_fb_memory_usage_used_bytes{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 3040870400
nvidia_smi_fb_memory_usage_free_bytes{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 5469372416
nvidia_smi_bar1_memory_usage_total_bytes{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 268435456
nvidia_smi_bar1_memory_usage_used_bytes{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 5242880
nvidia_smi_bar1_memory_usage_free_bytes{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 263192576
nvidia_smi_compute_mode{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 0
nvidia_smi_utilization_gpu_util_ratio{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 1.0
nvidia_smi_utilization_memory_util_ratio{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 1.0
nvidia_smi_utilization_encoder_util_ratio{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 0.0
nvidia_smi_utilization_decoder_util_ratio{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 0.0
nvidia_smi_encoder_stats_session_count{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 0
nvidia_smi_encoder_stats_average_fps{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 0
nvidia_smi_encoder_stats_average_latency{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 0
nvidia_smi_fbc_stats_session_count{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 0
nvidia_smi_fbc_stats_average_fps{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 0
nvidia_smi_fbc_stats_average_latency{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 0
nvidia_smi_temperature_gpu_temp_celsius{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 67.0
nvidia_smi_temperature_gpu_temp_max_threshold_celsius{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 96.0
nvidia_smi_temperature_gpu_temp_slow_threshold_celsius{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 93.0
nvidia_smi_temperature_gpu_target_temperature_celsius{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 83.0
nvidia_smi_supported_gpu_target_temp_gpu_target_temp_min_celsius{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 60.0
nvidia_smi_supported_gpu_target_temp_gpu_target_temp_max_celsius{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 92.0
nvidia_smi_power_readings_power_state{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 2
nvidia_smi_power_readings_power_management{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 1
nvidia_smi_power_readings_power_draw_watts{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 211.86
nvidia_smi_power_readings_power_limit_watts{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 216.0
nvidia_smi_power_readings_default_power_limit_watts{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 200.0
nvidia_smi_power_readings_enforced_power_limit_watts{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 216.0
nvidia_smi_power_readings_min_power_limit_watts{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 100.0
nvidia_smi_power_readings_max_power_limit_watts{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 216.0
nvidia_smi_clocks_graphics_clock_hz{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 1784000000.0
nvidia_smi_clocks_sm_clock_hz{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 1784000000.0
nvidia_smi_clocks_mem_clock_hz{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 5514000000.0
nvidia_smi_clocks_video_clock_hz{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 1594000000.0
nvidia_smi_max_clocks_graphics_clock_hz{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 1999000000.0
nvidia_smi_max_clocks_sm_clock_hz{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 1999000000.0
nvidia_smi_max_clocks_mem_clock_hz{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 5005000000.0
nvidia_smi_max_clocks_video_clock_hz{uuid="683c6e09-3969-31a5-b7ca-cc88252b7fce"} 1708000000.0

Caveats

In XML mode (see below) the exporter skips all implicit arrays like this:

<supported_clocks>
  <supported_mem_clock>
    <value>3504 MHz</value>
    <supported_graphics_clock>1721 MHz</supported_graphics_clock> <== will skip all supported_graphics_clock
    <supported_graphics_clock>1708 MHz</supported_graphics_clock>
    <supported_graphics_clock>1695 MHz</supported_graphics_clock>
    <supported_graphics_clock>1683 MHz</supported_graphics_clock>
    <supported_graphics_clock>1670 MHz</supported_graphics_clock>
    <supported_graphics_clock>1657 MHz</supported_graphics_clock>
    <supported_graphics_clock>1645 MHz</supported_graphics_clock>
    <supported_graphics_clock>1632 MHz</supported_graphics_clock>

Also, it skips all empty and "N/A" values (and their keys accordingly).

Prometheus is not supporting string values, thus exporter converts some strings to numbers:

  • Disabled, Not Active, No, Not Supported and Unsupported will convert to 0
  • Enabled, Active, Yes, Supported will convert to 1
  • P0..P15 will convert to 0..15
  • 1x, 2x, 4x, 8x, 16x, 32x (pci lines) will convert to 1,2,4,8,16,32
  • Default, Exclusive_Thread, Prohibited, Exclusive_Process (_compute_mode) will convert to 0..3

Other not integer/float strings will eliminate.

Run in Docker

nvidia-smi requires using the same versions of packages (libnvidia-compute-460 and nvidia-utils-460) inside the container and outside (on the host).

  1. Get driver version on the host:

    > dpkg --list | grep nvidia-driver-460
ii  nvidia-driver-460                    460.27.04-0ubuntu1                    amd64        NVIDIA driver metapackage

  2. Build container with appropriate version of driver:

    > docker build . --tag nvidia-smi-exporter --build-arg NVIDIA_VERSION=460.27.04-0ubuntu1

    All available versions can be found in the Cuda repository

  3. Run with --privileged flag (not recommended due to security)

    > docker run --rm --privileged -p 9454:9454 nvidia-smi-exporter

    or enumerating (map inside container) all devices explicitly

    > docker run --rm \
  --device /dev/nvidiactl:/dev/nvidiactl \
  --device /dev/nvidia0:/dev/nvidia0 \
  --device /dev/nvidia1:/dev/nvidia1 \
  -p 9454:9454 nvidia-smi-exporter

Parameters

There are several environment variables to setting runtime parameters:

  • NVIDIA_SMI_EXPORTER_BINARY - path to nvidia-smi executive binary, default: $(which nvidia-smi)

  • NVIDIA_SMI_EXPORTER_PORT - a port where the server will be started, default: 9454

  • NVIDIA_SMI_EXPORTER_HOST - a host where the server will be started, default: 0.0.0.0

  • NVIDIA_SMI_EXPORTER_NAME_PREFIX - prefix for every parameter name in output, default: nvidia_smi_

  • NVIDIA_SMI_EXPORTER_SOURCE - source to processing - xml or csv, default: xml.

When NVIDIA_SMI_EXPORTER_SOURCE == csv:

  • 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