hostgpu/

README

Inventory Host Payload

This package populates some of the Agent-related fields in the Resource Catalog product in DataDog. More specifically the host_gpu_agent table.

This is enabled by default but can be turned off using inventories_gpu_enabled config.

The payload is sent every 10min (see inventories_max_interval in the config) or whenever it's updated with at most 1 update every 5 minutes (see inventories_min_interval).

Format

The payload is a JSON dict with the following fields

• hostname - string: the hostname of the agent as shown on the status page.
• uuid - string: a unique identifier of the agent, used in case the hostname is empty.
• timestamp - int: the timestamp when the payload was created.
• host_gpu_metadata - dict of string to JSON type:
  • devices - array: list of gpu devices. Each element will have the following fields.
    • gpu_index - int: the internal index of the gpu device (e.g: 0, 1, ...).
    • gpu_vendor - string: the GPU vendor. (e.g: nvidia, amd, intel. Currently only nvidia devices are supported.
    • gpu_device - string: Device is the commercial name of the device (e.g., Tesla V100).
    • gpu_driver_version - string: The driver version.
    • gpu_uuid - string: Unique identifier of the device.
    • gpu_architecture - string: GPU device architecture (e.g: for nvidia, kepler, pascal, hopper.
    • gpu_compute_version - string: GPU device compute capability.
    • gpu_total_cores - int: Number of total available cores on the device.
    • device_total_memory - uint64: Total available memory on the device (in bytes).
    • device_max_sm_clock_rate - uint32: Device maximal Streaming Multiprocessor (SM) clock rate (in MHz).
    • device_max_memory_clock_rate - string: Device maximal memory clock rate (in MHz).
    • device_memory_bus_width - string: Device memory bus width (in bits).

Example Payload

Here an example of an inventory payload:

{
    "host_gpu_metadata": {
        "devices": [
            {
                "gpu_index": 0,
                "gpu_vendor": "nvidia",
                "gpu_device": "Tesla V100",
                "gpu_driver_version": "460.32.03",
                "gpu_uuid": "GPU-12345678-1234-5678-1234-567812345678",
                "gpu_architecture": "volta",
                "gpu_compute_version": "7.0",
                "gpu_total_cores": 4010,
                "device_total_memory": 16384,
                "device_max_sm_clock_rate": 1530,
                "device_max_memory_clock_rate": "877",
                "device_memory_bus_width": "4096"
            },
            {
                "gpu_index": 1,
                "gpu_vendor": "nvidia",
                "gpu_device": "Tesla T4",
                "gpu_driver_version": "460.32.03",
                "gpu_uuid": "GPU-87654321-4321-8765-4321-876543218765",
                "gpu_architecture": "turing",
                "gpu_compute_version": "7.5",
                "gpu_total_cores": 2040,
                "device_total_memory": 16384,
                "device_max_sm_clock_rate": 1590,
                "device_max_memory_clock_rate": "6251",
                "device_memory_bus_width": "256"
            }
        ]
    },
    "hostname": "my-host",
    "timestamp": 1631281754507358895
}