gpu-telemetry
Enrichment pendingGPU 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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Maintenance and security
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- Active (8d since push)
- As of today
- Provenance
- Not a fork · Organization account
- As of today
- Security (OSV)
- No lockfile
- As of today
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install gpu-telemetry PyPISimilar tools
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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.
Tags
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.