utkuozdemir/nvidia_gpu_exporter
Nvidia GPU exporter for prometheus using nvidia-smi binary OR using NVML
Star History
Momentum
+39
STARS · LAST 30 DAYS
1
PER DAY
#254
MOST-STARRED Go
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +39 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
nvidia_gpu_exporter gained 39 stars in the last 30 days, about 1 a day, and now has 1.6K. It is about 5 years old and has averaged roughly 312 stars a year. It ranks #254 among Go repositories and #2,142 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#2166
BEST RANK
Sep 27, 2026
FIRST APPEARANCE
Active
STATUS TODAY
nvidia_gpu_exporter has maintained a continuous presence across global trending indexes, peaking at #2166. Below is the 30-day activity profile:
💡 Overview
nvidia_gpu_exporter is an open-source project written in Go: Nvidia GPU exporter for prometheus using nvidia-smi binary OR using NVML.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, cryptocurrency, gaming. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Go for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ go install github.com/utkuozdemir/nvidia_gpu_exporter@latest⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Go >= 1.21 runtime environment
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
nvidia_gpu_exporter coordinates its core functionality through a modular Go pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with nvidia_gpu_exporter.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install nvidia_gpu_exporter using your package manager: `go install github.com/utkuozdemir/nvidia_gpu_exporter@latest`
Initialize your project workspace or configuration file for nvidia_gpu_exporter.
Import nvidia_gpu_exporter into your codebase or invoke it directly from your terminal.
Execute your test suite or run `nvidia_gpu_exporter --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Go, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
utkuozdemir/nvidia_gpu_exporter is currently ranked #2,142 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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| #2,142 | utkuozdemir/nvidia_gpu_exporter This Project | Go | ★ 1.6K | |
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Frequently Asked Questions
What does nvidia_gpu_exporter do? +
Nvidia GPU exporter for prometheus using nvidia-smi binary OR using NVML
What language is nvidia_gpu_exporter written in? +
The primary language is Go. Topics include: ai, cryptocurrency, gaming, inference, llm.
Is nvidia_gpu_exporter actively maintained? +
Yes, the last recorded push was on Sep 26, 2026 with 7 open issues being tracked.
How many stars does nvidia_gpu_exporter have? +
nvidia_gpu_exporter has 1,559 stars and 154 forks on GitHub.
How does nvidia_gpu_exporter rank among GitHub repositories? +
With 1,559 stars, utkuozdemir/nvidia_gpu_exporter is ranked #2,142 globally across all repositories tracked on GitHubRepo and #254 among Go projects.
What license is nvidia_gpu_exporter distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
