KEDA External gRPC Scaler for GPU workloads - native NVML metrics via DaemonSet, no Prometheus required
Star History
Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#600
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 |
keda-gpu-scaler gained 10 stars in the last 30 days, about 1 a day, and now has 131. It is about 1 year old and has averaged roughly 131 stars a year. It ranks #600 among Go repositories and #6,142 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#4345
BEST RANK
Sep 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
keda-gpu-scaler has maintained a continuous presence across global trending indexes, peaking at #4345. Below is the 30-day activity profile:
💡 Overview
keda-gpu-scaler is an open-source project written in Go: KEDA External gRPC Scaler for GPU workloads - native NVML metrics via DaemonSet, no Prometheus required.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-infrastructure, autoscaling, daemonset. 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/pmady/keda-gpu-scaler@latest⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Go >= 1.21 runtime environment
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
keda-gpu-scaler 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 keda-gpu-scaler.
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 keda-gpu-scaler using your package manager: `go install github.com/pmady/keda-gpu-scaler@latest`
Initialize your project workspace or configuration file for keda-gpu-scaler.
Import keda-gpu-scaler into your codebase or invoke it directly from your terminal.
Execute your test suite or run `keda-gpu-scaler --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
pmady/keda-gpu-scaler is currently ranked #6,142 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #6,127 | unixwin/niubash | Rust | ★ 132 | Compare ↗ |
| #6,127 | darksidewalker/ComfyUI-DaSiWa-Nodes | Python | ★ 132 | Compare ↗ |
| #6,127 | effcol/wiz3D | C++ | ★ 132 | Compare ↗ |
| #6,127 | oomol-lab/open-flow | TypeScript | ★ 132 | Compare ↗ |
| #6,127 | fedorchenko-juli/job_search_tool | Python | ★ 132 | Compare ↗ |
| #6,142 | pmady/keda-gpu-scaler This Project | Go | ★ 131 | |
| #6,142 | mleung/feather | Ruby | ★ 131 | Compare ↗ |
| #6,142 | davepeck/game-of-go | Python | ★ 131 | Compare ↗ |
| #6,142 | Dynflow/dynflow | Ruby | ★ 131 | Compare ↗ |
| #6,142 | OpenSIPS/opensips-cp | PHP | ★ 131 | Compare ↗ |
| #6,142 | nextcloud/serverinfo | JavaScript | ★ 131 | Compare ↗ |
Frequently Asked Questions
What does keda-gpu-scaler do? +
KEDA External gRPC Scaler for GPU workloads - native NVML metrics via DaemonSet, no Prometheus required
What language is keda-gpu-scaler written in? +
The primary language is Go. Topics include: ai-infrastructure, autoscaling, daemonset, gpu, gpu-autoscaling.
Is keda-gpu-scaler actively maintained? +
Yes, the last recorded push was on Sep 27, 2026 with 17 open issues being tracked.
How many stars does keda-gpu-scaler have? +
keda-gpu-scaler has 131 stars and 36 forks on GitHub.
How does keda-gpu-scaler rank among GitHub repositories? +
With 131 stars, pmady/keda-gpu-scaler is ranked #6,142 globally across all repositories tracked on GitHubRepo and #600 among Go projects.
What license is keda-gpu-scaler distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
