Tooling for optimized, validated, and reproducible GPU-accelerated AI runtime in Kubernetes
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+11
STARS · LAST 30 DAYS
1
PER DAY
#942
MOST-STARRED Go
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +11 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
aicr gained 11 stars in the last 30 days, about 1 a day, and now has 442. It is about 1 year old and has averaged roughly 442 stars a year. It ranks #942 among Go repositories and #8,515 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#8838
BEST RANK
Oct 14, 2026
FIRST APPEARANCE
Active
STATUS TODAY
aicr has maintained a continuous presence across global trending indexes, peaking at #8838. Below is the 30-day activity profile:
💡 Overview
aicr is an open-source project written in Go: Tooling for optimized, validated, and reproducible GPU-accelerated AI runtime in Kubernetes.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, argocd, config. 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/aicr@latest⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Go >= 1.21 runtime environment
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
aicr 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 aicr.
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 aicr using your package manager: `go install github.com/NVIDIA/aicr@latest`
Initialize your project workspace or configuration file for aicr.
Import aicr into your codebase or invoke it directly from your terminal.
Execute your test suite or run `aicr --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/aicr is currently ranked #8,515 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #8,510 | marcandre/backports | Ruby | ★ 443 | Compare ↗ |
| #8,510 | jstrait/beats | Ruby | ★ 443 | Compare ↗ |
| #8,510 | jdereg/java-util | Java | ★ 443 | Compare ↗ |
| #8,510 | awcodes/filament-curator | PHP | ★ 443 | Compare ↗ |
| #8,510 | jabrena/plinth | Java | ★ 443 | Compare ↗ |
| #8,515 | NVIDIA/aicr This Project | Go | ★ 442 | |
| #8,515 | XCSoar/XCSoar | C++ | ★ 442 | Compare ↗ |
| #8,515 | yarpc/yarpc-go | Go | ★ 442 | Compare ↗ |
| #8,515 | contao/contao | PHP | ★ 442 | Compare ↗ |
| #8,515 | codidact/qpixel | Ruby | ★ 442 | Compare ↗ |
| #8,515 | cardano-foundation/developer-portal | JavaScript | ★ 442 | Compare ↗ |
Frequently Asked Questions
What does aicr do? +
Tooling for optimized, validated, and reproducible GPU-accelerated AI runtime in Kubernetes
What language is aicr written in? +
The primary language is Go. Topics include: ai, argocd, config, gpu, helm.
Is aicr actively maintained? +
Yes, the last recorded push was on Oct 14, 2026 with 199 open issues being tracked.
How many stars does aicr have? +
aicr has 442 stars and 112 forks on GitHub.
How does aicr rank among GitHub repositories? +
With 442 stars, NVIDIA/aicr is ranked #8,515 globally across all repositories tracked on GitHubRepo and #942 among Go projects.
What license is aicr distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
