NVIDIA RMM is a library for allocating and managing GPU memory in C++ and Python.
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+18
STARS · LAST 30 DAYS
1
PER DAY
#582
MOST-STARRED C++
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +18 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +5 | +13 |
rmm gained 18 stars in the last 30 days, about 1 a day, and now has 734. It is about 8 years old and has averaged roughly 92 stars a year. It ranks #582 among C++ repositories and #7,453 across all languages on GitHubRepo.
Trending Record
6
DAYS ON TRENDING
#7864
BEST RANK
Oct 14, 2026
FIRST APPEARANCE
Active
STATUS TODAY
rmm has maintained a continuous presence across global trending indexes, peaking at #7864. Below is the 30-day activity profile:
💡 Overview
rmm is an open-source project written in C++: NVIDIA RMM is a library for allocating and managing GPU memory in C++ and Python.
Engineered for speed, consistency, and developer ease, it solves common hurdles in cuda, gpu, memory-allocation. 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 C++ 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
$ git clone https://github.com/rapidsai/rmm.git
cd rmm⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
rmm coordinates its core functionality through a modular C++ 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 rmm into C++ 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 rmm using your package manager: `git clone https://github.com/rapidsai/rmm.git`
Initialize your project workspace or configuration file for rmm.
Import rmm into your codebase or invoke it directly from your terminal.
Execute your test suite or run `rmm --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
rapidsai/rmm is currently ranked #7,453 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #7,448 | x-motemen/git-pr-release | Ruby | ★ 735 | Compare ↗ |
| #7,448 | saucecontrol/PhotoSauce | C# | ★ 735 | Compare ↗ |
| #7,448 | jameshball/osci-render | C++ | ★ 735 | Compare ↗ |
| #7,448 | 1Password/shell-plugins | Go | ★ 735 | Compare ↗ |
| #7,448 | lynx-family/lynx-stack | TypeScript | ★ 735 | Compare ↗ |
| #7,453 | rapidsai/rmm This Project | C++ | ★ 734 | |
| #7,453 | line/line-bot-sdk-php | PHP | ★ 734 | Compare ↗ |
| #7,453 | unitystation/unitystation | C# | ★ 734 | Compare ↗ |
| #7,453 | cnpm/cnpmcore | TypeScript | ★ 734 | Compare ↗ |
| #7,453 | togatoga/karukan | Rust | ★ 734 | Compare ↗ |
| #7,453 | threatexpert/gonc | Go | ★ 734 | Compare ↗ |
Frequently Asked Questions
What does rmm do? +
NVIDIA RMM is a library for allocating and managing GPU memory in C++ and Python.
What language is rmm written in? +
The primary language is C++. Topics include: cuda, gpu, memory-allocation, memory-management.
Is rmm actively maintained? +
Yes, the last recorded push was on Oct 14, 2026 with 117 open issues being tracked.
How many stars does rmm have? +
rmm has 734 stars and 262 forks on GitHub.
How does rmm rank among GitHub repositories? +
With 734 stars, rapidsai/rmm is ranked #7,453 globally across all repositories tracked on GitHubRepo and #582 among C++ projects.
What license is rmm distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
