devtools

Deploy LLM services with rbg

Deploy LLM inference services on Kubernetes with rbg, a workload for dev teams, with 229 GitHub stars

From the repo · “A workload for deploying LLM inference services on Kubernetes”

intermediate⏱ 30 minutes💵 Free + LLM API costs
309 stars+3★ this week85 forksGoGuide quality 9/10 · reviewed Jun 30Updated 10/23/2026100% free · open source
What it is

Helps you create and deploy AI-powered services on a Kubernetes cluster.

Real use case example

"A founder of a startup, Sarah, wants to quickly build a FAQ page where customers can ask questions and receive answers from her product knowledge base. She uses rbg to deploy a Kubernetes cluster, which makes it easy to deploy her AI model and scale it as needed."

When to use it
  • •When you need to deploy LLMs in a production environment with high scalability and reliability requirements
  • •When your development team requires a simplified workflow for deploying and managing AI services on Kubernetes
  • •When you want to leverage the benefits of Kubernetes for your AI workloads, such as automated rolling updates and self-healing
Ready-to-paste prompt
kubectl apply -f https://raw.githubusercontent.com/sgl-project/rbg/main/examples/llm-service.yaml
Heads up: Ensure you have a Kubernetes cluster with the necessary dependencies installed, such as the Kubernetes API server and the rbg custom resource definitions, before attempting to deploy the rbg workload
Saves to your device
Use with Claude
New

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🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/rbg && curl -fsSL https://workflowstacks.com/api/skills/rbg/claude-skill -o ~/.claude/skills/rbg/SKILL.md
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Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
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How Deploy LLM services with rbg works
Codeflow
Free to inspect

Deploy LLM services with rbg is a very large Go project (~94k lines across 454 code files, plus 106 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.

Size
Very large codebase
~94k lines · 454 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Go · Docker
No API keys detected
Go 99%Shell 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    cmd/cli/main.go
    Where the program starts running
  3. 3
    go.mod
    Dependencies and the commands it exposes
  4. 4
    pkg/component-discovery/component_discovery_test.go
    Inside pkg/ — the main logic begins here
  5. 5
What's in each folder
pkg/Core code — the actual logic169 files
internal/Core code — the actual logic20 files
api/Backend / API56 files
cmd/Command-line entry points18 files
examples/Examples you can copy76 files
doc/Documentation70 files
client-go/Folder183 files
keps/Folder44 files
READMEHas testsDocumentedCI checksDocker readyExamples includedApache-2.0 licenseUpdated this month
Quick Actions
Details
Creator
sgl-project
Language
Go
Category
devtools
Published
8/28/2025

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