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dsx-ai-factory
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dsx-ai-factory/nvcf

Platform for deploying and routing GPU-accelerated inference, streaming, and batch workloads at scale.

Go ◇ cloud-functions Apache-2.0
★262STARS
⑂103FORKS
!586ISSUES
🏆#17,075GLOBAL RANK
🔥25DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

nvcf is nvcf is an open-source project written in Go: Platform for deploying and routing GPU-accelerated inference, streaming, and batch workloads at scale..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), dsx-ai-factory/nvcf has accumulated 262 GitHub stars and 103 forks. It is written in Go, licensed under Apache-2.0, and ranks #17,075 globally. It is actively maintained with the latest commit recorded on Nov 9, 2026.”
Repository dsx-ai-factory/nvcf ↗
Primary Category cloud functions
Language & Stack Go
Software License Apache-2.0
Community Traction ★ 262 stars · ⑂ 103 forks · #17,075 globally
Maintenance ● Active (Last commit: Nov 9, 2026) · 586 open issues
Target Audience Developers and engineering teams building with Go, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 88/100 · Grade A
✅
Is nvcf actively maintained in 2026?
Verdict: Actively Maintained

Yes, nvcf is actively maintained. Continuous telemetry recorded the last code commit on Nov 9, 2026 (4 days ago). Supported by 262 stars and 103 community forks, this repository holds a calculated health index of 88/100, reflecting very active (commits within last 14 days) and active community feedback (586 open).

Commit Recency
Nov 9, 2026
4 days since last push
Issue Backlog
586 Open Issues
Active Community Feedback (586 open)
Community Backing
103 Forks
262 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for dsx-ai-factory/nvcf
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,846

MOST-STARRED Go

Window7 days30 days90 days
Stars gained+13+10+90
Per day211
Forks gained+8+3+10

nvcf gained 10 stars in the last 30 days, about 1 a day, and now has 262. It is about 1 year old and has averaged roughly 262 stars a year. It ranks #1,846 among Go repositories and #17,075 across all languages on GitHubRepo.

Trending Record

nvcf has maintained a continuous presence across global trending indexes, peaking at #3042. 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

1

Optimized execution pipeline written in Go 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
$ 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

1

Install nvcf using your package manager: `go install github.com/NVIDIA/nvcf@latest`

2

Initialize your project workspace or configuration file for nvcf.

3

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

4

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

👍 Strengths

Active community backing with 237 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Go 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 Go 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 Go, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

dsx-ai-factory/nvcf is currently ranked #17,075 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#17,040 blockcell-labs/blockcell Rust ★ 263 Compare ↗
#17,040 cocoonstack/cocoon Go ★ 263 Compare ↗
#17,040 receptron/mulmoterminal TypeScript ★ 263 Compare ↗
#17,040 b00t0x/WhateverXe C++ ★ 263 Compare ↗
#17,040 adventists-ai/sophon-realtime Python ★ 263 Compare ↗
#17,075 dsx-ai-factory/nvcf This Project Go ★ 262
#17,075 jcorbin/zsh-git Shell ★ 262 Compare ↗
#17,075 jorgeortiz85/scala-time Scala ★ 262 Compare ↗
#17,075 bakkdoor/fancy Fancy ★ 262 Compare ↗
#17,075 aefxx/jQote2 JavaScript ★ 262 Compare ↗
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Frequently Asked Questions

What does nvcf do? +

Platform for deploying and routing GPU-accelerated inference, streaming, and batch workloads at scale.

Is nvcf actively maintained in 2026? +

Yes, nvcf is actively maintained. The latest code push was recorded on Nov 9, 2026 (4 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 262 stars and 586 open issues.

What language is nvcf written in? +

The primary language is Go. Topics include: cloud-functions, gpu, inference, kubernetes, nvidia.

How many stars does nvcf have? +

nvcf has 262 stars and 103 forks on GitHub.

How does nvcf rank among GitHub repositories? +

With 262 stars, dsx-ai-factory/nvcf is ranked #17,075 globally across all repositories tracked on GitHubRepo and #1,846 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.

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