NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes
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+73
STARS · LAST 30 DAYS
2
PER DAY
#427
MOST-STARRED Go
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +4 | +73 | +180 |
| Per day | 1 | 2 | 2 |
| Forks gained | +2 | +12 | +29 |
gpu-operator gained 73 stars in the last 30 days, about 2 a day, and now has 2.9K. It is about 8 years old and has averaged roughly 366 stars a year. It ranks #427 among Go repositories and #3,270 across all languages on GitHubRepo.
Trending Record
8
DAYS ON TRENDING
#3219
BEST RANK
Oct 10, 2026
FIRST APPEARANCE
Active
STATUS TODAY
gpu-operator has maintained a continuous presence across global trending indexes, peaking at #3219. Below is the 30-day activity profile:
💡 Overview
gpu-operator is an open-source project written in Go: NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes.
Engineered for speed, consistency, and developer ease, it solves common hurdles in cuda, gpu, kubernetes. 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/NVIDIA/gpu-operator@latest⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Go >= 1.21 runtime environment
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
gpu-operator 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
Production System Integration
Embed gpu-operator into Go backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open Apache-2.0 license.
🚀 Getting Started
Install gpu-operator using your package manager: `go install github.com/NVIDIA/gpu-operator@latest`
Initialize your project workspace or configuration file for gpu-operator.
Import gpu-operator into your codebase or invoke it directly from your terminal.
Execute your test suite or run `gpu-operator --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
NVIDIA/gpu-operator is currently ranked #3,270 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #3,265 | VibiumDev/vibium | Go | ★ 2.9K | Compare ↗ |
| #3,266 | apache/grails-core | Groovy | ★ 2.9K | Compare ↗ |
| #3,266 | TheHPXProject/hpx | C++ | ★ 2.9K | Compare ↗ |
| #3,268 | spartan-ng/spartan | TypeScript | ★ 2.9K | Compare ↗ |
| #3,268 | Yeachan-Heo/gajae-code | TypeScript | ★ 2.9K | Compare ↗ |
| #3,270 | NVIDIA/gpu-operator This Project | Go | ★ 2.9K | |
| #3,271 | lissy93/portainer-templates | Python | ★ 2.9K | Compare ↗ |
| #3,271 | CyberStrikeus/CyberStrike | TypeScript | ★ 2.9K | Compare ↗ |
| #3,273 | naver/egjs-flicking | TypeScript | ★ 2.9K | Compare ↗ |
| #3,273 | Nanako0129/sepia | Python | ★ 2.9K | Compare ↗ |
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Frequently Asked Questions
What does gpu-operator do? +
NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes
What language is gpu-operator written in? +
The primary language is Go. Topics include: cuda, gpu, kubernetes, nvidia.
Is gpu-operator actively maintained? +
Yes, the last recorded push was on Oct 12, 2026 with 101 open issues being tracked.
How many stars does gpu-operator have? +
gpu-operator has 2,925 stars and 575 forks on GitHub.
How does gpu-operator rank among GitHub repositories? +
With 2,925 stars, NVIDIA/gpu-operator is ranked #3,270 globally across all repositories tracked on GitHubRepo and #427 among Go projects.
What license is gpu-operator distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
