Platform for deploying and routing GPU-accelerated inference, streaming, and batch workloads at scale.
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/NVIDIA/nvcf?utm_source=readme_chart)
Compact Shields-style badges for your README header. Shows real-time stars and global ranking.
[](https://githubrepo.cloud/repo/NVIDIA/nvcf?utm_source=readme_badge) [](https://githubrepo.cloud/repo/NVIDIA/nvcf?utm_source=readme_badge) [](https://githubrepo.cloud/repo/NVIDIA/nvcf?utm_source=readme_badge)
Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#1,316
MOST-STARRED Go
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
nvcf gained 10 stars in the last 30 days, about 1 a day, and now has 237. It is about 1 year old and has averaged roughly 237 stars a year. It ranks #1,316 among Go repositories and #12,075 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#11531
BEST RANK
Oct 15, 2026
FIRST APPEARANCE
Active
STATUS TODAY
nvcf has maintained a continuous presence across global trending indexes, peaking at #11531. Below is the 30-day activity profile:
💡 Overview
nvcf is an open-source project written in Go: Platform for deploying and routing GPU-accelerated inference, streaming, and batch workloads at scale.
Engineered for speed, consistency, and developer ease, it solves common hurdles in cloud-functions, gpu, inference. 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/nvcf@latest
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Go >= 1.21 runtime environment
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
nvcf 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 nvcf 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 nvcf using your package manager: `go install github.com/NVIDIA/nvcf@latest`
Initialize your project workspace or configuration file for nvcf.
Import nvcf into your codebase or invoke it directly from your terminal.
Execute your test suite or run `nvcf --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/nvcf is currently ranked #12,075 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #12,048 | ayushh0110/ScreenMind | Python | ★ 238 | Compare ↗ |
| #12,048 | microsoft/XBOX-Godot-Sample | C++ | ★ 238 | Compare ↗ |
| #12,048 | PixelPlayerHQ/PixelPlayerOSS | Kotlin | ★ 238 | Compare ↗ |
| #12,048 | rcieri/glab-tui | Rust | ★ 238 | Compare ↗ |
| #12,048 | Oleafly/Oleafly | TypeScript | ★ 238 | Compare ↗ |
| #12,075 | NVIDIA/nvcf This Project | Go | ★ 237 | |
| #12,075 | stjernstrom/capistrano_colors | Ruby | ★ 237 | Compare ↗ |
| #12,075 | oUF-wow/oUF | Lua | ★ 237 | Compare ↗ |
| #12,075 | jeetsukumaran/DendroPy | Python | ★ 237 | Compare ↗ |
| #12,075 | jfahrenkrug/VertexHelper | Objective-C | ★ 237 | Compare ↗ |
| #12,075 | signumsoftware/framework | C# | ★ 237 | Compare ↗ |
Frequently Asked Questions
What does nvcf do? +
Platform for deploying and routing GPU-accelerated inference, streaming, and batch workloads at scale.
What language is nvcf written in? +
The primary language is Go. Topics include: cloud-functions, gpu, inference, kubernetes, nvidia.
Is nvcf actively maintained? +
Yes, the last recorded push was on Oct 15, 2026 with 524 open issues being tracked.
How many stars does nvcf have? +
nvcf has 237 stars and 94 forks on GitHub.
How does nvcf rank among GitHub repositories? +
With 237 stars, NVIDIA/nvcf is ranked #12,075 globally across all repositories tracked on GitHubRepo and #1,316 among Go projects.
What license is nvcf distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.