An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
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Updated
Nov 24, 2024 - Python
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
📊 A simple command-line utility for querying and monitoring GPU status
Nvidia GPU exporter for prometheus using nvidia-smi binary
Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Integrates with 40+ LLM Providers, VectorDBs, Agent Frameworks and GPUs.
💰 USB flash drive ISO image for Ethereum, Zcash and Monero mining with NVIDIA graphics cards and Ubuntu GNU/Linux (headless)
A tool for enriching the output of nvidia-smi.
NVIDIA GPU Prometheus Exporter
NviWatch: A blazingly fast rust based TUI for managing and monitoring NVIDIA GPU processes
Task Manager for Linux for Nvidia graphics cards
Flask-based package for monitoring utilisation of nVidia GPUs.
Script to remotely check GPU servers for free GPUs
A shim driver allows in-docker nvidia-smi showing correct process list without modify anything
Tutorial to install NVIDIA Drivers, CUDA 11.4 and cuDNN for deep learning programming on Ubuntu 20.04.
nvidiagpubeat is an elastic beat that uses NVIDIA System Management Interface (nvidia-smi) to monitor NVIDIA GPU devices and can ingest metrics into Elastic search cluster, with support for both 6.x and 7.x versions of beats. nvidia-smi is a command line utility, based on top of the NVIDIA Management Library (NVML), intended to aid in the manage…
A step-by-step guide to setting up Nvidia GPUs with CUDA support running on Docker (and Compose) containers on NixOS host
Nvidia-smi Prometheus exporter with respecting of GPU-UUID
Real-time GPU insights via a sleek web interface. Web interface for nvidia-smi
The Zabbix template for monitoring Nvidia graphics cards.
Python script to control the fan speed of Nvidia GPUs under Linux. Keep it simple stupid.
Add a description, image, and links to the nvidia-smi topic page so that developers can more easily learn about it.
To associate your repository with the nvidia-smi topic, visit your repo's landing page and select "manage topics."