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ymcrcat
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ymcrcat/rgpu

Keep Python on your laptop. Run PyTorch operations and hold tensors on a remote GPU, including from a Mac with no CUDA installation.

C++ ◇ apple-silicon Apache-2.0
★66STARS
⑂4FORKS
!4ISSUES
🏆#27,769GLOBAL RANK
🔥30DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

rgpu is rgpu is an open-source project written in C++: Keep Python on your laptop. Run PyTorch operations and hold tensors on a remote GPU, including from a Mac with no CUDA installation..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), ymcrcat/rgpu has accumulated 66 GitHub stars and 4 forks. It is written in C++, licensed under Apache-2.0, and ranks #27,769 globally. It is actively maintained with the latest commit recorded on Oct 8, 2026.”
Repository ymcrcat/rgpu ↗
Primary Category apple silicon
Language & Stack C++
Software License Apache-2.0
Community Traction ★ 66 stars · ⑂ 4 forks · #27,769 globally
Maintenance ● Active (Last commit: Oct 8, 2026) · 4 open issues
Target Audience Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 85/100 · Grade A
✅
Is rgpu actively maintained in 2026?
Verdict: Actively Maintained

Yes, rgpu is actively maintained. Continuous telemetry recorded the last code commit on Oct 8, 2026 (35 days ago). Supported by 66 stars and 4 community forks, this repository holds a calculated health index of 85/100, reflecting regular maintenance (35 days ago) and healthy issue cadence.

Commit Recency
Oct 8, 2026
35 days since last push
Issue Backlog
4 Open Issues
Healthy Issue Cadence
Community Backing
4 Forks
66 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for ymcrcat/rgpu
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Momentum

+0

STARS · LAST 30 DAYS

1

PER DAY

#2,085

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+0+0+90
Per day111
Forks gained+0+0+10

rgpu gained 0 stars in the last 30 days, about 1 a day, and now has 66. It is about 1 year old and has averaged roughly 66 stars a year. It ranks #2,085 among C++ repositories and #27,769 across all languages on GitHubRepo.

Trending Record

rgpu has maintained a continuous presence across global trending indexes, peaking at #2571. Below is the 30-day activity profile:

💡 Overview

rgpu is an open-source project written in C++: Keep Python on your laptop. Run PyTorch operations and hold tensors on a remote GPU, including from a Mac with no CUDA installation.

Engineered for speed, consistency, and developer ease, it solves common hurdles in apple-silicon, cuda, deep-learning. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in C++ for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ git clone https://github.com/ymcrcat/rgpu.git
cd rgpu

⚙ 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

rgpu 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 rgpu 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

1

Install rgpu using your package manager: `git clone https://github.com/ymcrcat/rgpu.git`

2

Initialize your project workspace or configuration file for rgpu.

3

Import rgpu into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `rgpu --help` to verify successful setup.

👍 Strengths

Active community backing with 66 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in C++ for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with C++ and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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tensorflow/tensorflow ★ 201.6K C++

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electron/electron ★ 123.8K C++

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👥 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

ymcrcat/rgpu is currently ranked #27,769 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#27,719 guolola/SoftJL TypeScript ★ 67 Compare ↗
#27,719 picassio/pi-phone TypeScript ★ 67 Compare ↗
#27,719 langchain-ai/design-agent JavaScript ★ 67 Compare ↗
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#27,719 DominikScholz/open-bot-avatar TypeScript ★ 67 Compare ↗
#27,769 ymcrcat/rgpu This Project C++ ★ 66
#27,769 toretore/zippy Ruby ★ 66 Compare ↗
#27,769 hyphaltip/genome-scripts Perl ★ 66 Compare ↗
#27,769 zacharyvoase/zenqueue Python ★ 66 Compare ↗
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Frequently Asked Questions

What does rgpu do? +

Keep Python on your laptop. Run PyTorch operations and hold tensors on a remote GPU, including from a Mac with no CUDA installation.

Is rgpu actively maintained in 2026? +

Yes, rgpu is actively maintained. The latest code push was recorded on Oct 8, 2026 (35 days ago). It holds a calculated Maintenance Health Score of 85/100 (A rating) with 66 stars and 4 open issues.

What language is rgpu written in? +

The primary language is C++. Topics include: apple-silicon, cuda, deep-learning, gpu, gpu-computing.

How many stars does rgpu have? +

rgpu has 66 stars and 4 forks on GitHub.

How does rgpu rank among GitHub repositories? +

With 66 stars, ymcrcat/rgpu is ranked #27,769 globally across all repositories tracked on GitHubRepo and #2,085 among C++ projects.

What license is rgpu distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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