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gpu-telemetry

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GPU Observability with workload attribution. One OTLP agent per node ties hardware metrics (NVIDIA, AMD, Intel Gaudi) to the K8s pod or Slurm job burning the GPU.

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56 stars6 forksLast push 1w Python MIT

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Maintenance and security

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Maintenance
Active (8d since push)
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Provenance
Not a fork · Organization account
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Security (OSV)
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Install

pip install gpu-telemetry
PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

GPU Observability with workload attribution. One OTLP agent per node ties hardware metrics (NVIDIA, AMD, Intel Gaudi) to the K8s pod or Slurm job burning the GPU.

Capability facts

CLI
CLI entrypoint

Source: pyproject.toml:[project.scripts] · Jul 15, 2026

Languages
python

Source: github.language+pyproject.toml · Jul 15, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 15, 2026)

pip install l9gpu
Source link

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README

Quick Start — Bare Metal / systemd

pip install l9gpu
export OTEL_EXPORTER_OTLP_ENDPOINT=<your-otlp-endpoint>
export OTEL_EXPORTER_OTLP_HEADERS="Authorization=Bearer <your-token>"

l9gpu nvml_monitor  --sink otel --cluster my-cluster  # NVIDIA
l9gpu amd_monitor   --sink otel --cluster my-cluster  # AMD
l9gpu gaudi_monitor --sink otel --cluster my-cluster  # Intel Gaudi

Sanity-check without OTLP: l9gpu nvml_monitor --sink stdout --once.

systemd unit files: systemd/.



Hardware support

NVIDIA A100, H100 / H200, B200 / GB200, T4, A10, L4 (NVML + DCGM) · AMD MI300X, MI325X (amdsmi) · Intel Gaudi 2, Gaudi 3 (hl-smi).

Full metric catalog with units and attributes: docs/METRICS.md.



License

MIT for l9gpu, k8shelper, k8sprocessor. Apache-2.0 for slurmprocessor, shelper. Each subdirectory carries its own LICENSE where it differs from the repo root.

For agents

This page has a .md twin and JSON over the API.

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