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pegainfer-project
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pegainfer-project/pegainfer

Pure Rust + CUDA LLM inference engine — no PyTorch, OpenAI-compatible, serves Qwen3 to Kimi-K2

Rust ◇ cuda Apache-2.0
★741STARS
⑂121FORKS
!56ISSUES
🏆#10,140GLOBAL RANK
🔥44DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

pegainfer is pegainfer is an open-source project written in Rust: Pure Rust + CUDA LLM inference engine — no PyTorch, OpenAI-compatible, serves Qwen3 to Kimi-K2..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), pegainfer-project/pegainfer has accumulated 741 GitHub stars and 121 forks. It is written in Rust, licensed under Apache-2.0, and ranks #10,140 globally. It is actively maintained with the latest commit recorded on Nov 12, 2026.”
Repository pegainfer-project/pegainfer ↗
Primary Category cuda
Language & Stack Rust
Software License Apache-2.0
Community Traction ★ 741 stars · ⑂ 121 forks · #10,140 globally
Maintenance ● Active (Last commit: Nov 12, 2026) · 56 open issues
Target Audience Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 93/100 · Grade A+
✅
Is pegainfer actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, pegainfer is actively maintained. Continuous telemetry recorded the last code commit on Nov 12, 2026 (0 days ago). Supported by 741 stars and 121 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 12, 2026
0 days since last push
Issue Backlog
56 Open Issues
Healthy Issue Cadence
Community Backing
121 Forks
741 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for pegainfer-project/pegainfer
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Momentum

+27

STARS · LAST 30 DAYS

1

PER DAY

#988

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+11+27+90
Per day211
Forks gained+0+11+10

pegainfer gained 27 stars in the last 30 days, about 1 a day, and now has 741. It is about 1 year old and has averaged roughly 741 stars a year. It ranks #988 among Rust repositories and #10,140 across all languages on GitHubRepo.

Trending Record

pegainfer has maintained a continuous presence across global trending indexes, peaking at #1317. Below is the 30-day activity profile:

💡 Overview

pegainfer is an open-source project written in Rust: Pure Rust + CUDA LLM inference engine — no PyTorch, OpenAI-compatible, serves Qwen3 to Kimi-K2.

Engineered for speed, consistency, and developer ease, it solves common hurdles in cuda, cuda-kernels, deepseek. 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 Rust 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
$ cargo install pegainfer

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

pegainfer coordinates its core functionality through a modular Rust 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 pegainfer.

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

1

Install pegainfer using your package manager: `cargo install pegainfer`

2

Initialize your project workspace or configuration file for pegainfer.

3

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

4

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

👍 Strengths

Active community backing with 712 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Rust 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 Rust 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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👥 Who Should Use This

Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

pegainfer-project/pegainfer is currently ranked #10,140 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#10,133 hetznercloud/terraform-provider-hcloud Go ★ 742 Compare ↗
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#10,133 MrWangJustToDo/git-diff-view TypeScript ★ 742 Compare ↗
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#10,140 pegainfer-project/pegainfer This Project Rust ★ 741
#10,140 trifork/erjang Java ★ 741 Compare ↗
#10,140 raycmorgan/Mu JavaScript ★ 741 Compare ↗
#10,140 WonderCMS/wondercms PHP ★ 741 Compare ↗
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Frequently Asked Questions

What does pegainfer do? +

Pure Rust + CUDA LLM inference engine — no PyTorch, OpenAI-compatible, serves Qwen3 to Kimi-K2

Is pegainfer actively maintained in 2026? +

Yes, pegainfer is actively maintained. The latest code push was recorded on Nov 12, 2026 (0 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 741 stars and 56 open issues.

What language is pegainfer written in? +

The primary language is Rust. Topics include: cuda, cuda-kernels, deepseek, gpu, inference.

How many stars does pegainfer have? +

pegainfer has 741 stars and 121 forks on GitHub.

How does pegainfer rank among GitHub repositories? +

With 741 stars, pegainfer-project/pegainfer is ranked #10,140 globally across all repositories tracked on GitHubRepo and #988 among Rust projects.

What license is pegainfer distributed under? +

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

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