Deploy LLM services with rbg
Helps you create and deploy AI-powered services on a Kubernetes cluster.
"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."
- β’When you need to deploy LLMs in a production environment with high scalability and reliability requirements
- β’When your development team requires a simplified workflow for deploying and managing AI services on Kubernetes
- β’When you want to leverage the benefits of Kubernetes for your AI workloads, such as automated rolling updates and self-healing
kubectl apply -f https://raw.githubusercontent.com/sgl-project/rbg/main/examples/llm-service.yaml
Skip the builder β one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/rbg && curl -fsSL https://workflowstacks.com/api/skills/rbg/claude-skill -o ~/.claude/skills/rbg/SKILL.mdOpens the app with this repo with the prompt ready to go β no copy-paste needed.
Skip the builder β one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/rbg && curl -fsSL https://workflowstacks.com/api/skills/rbg/claude-skill -o ~/.claude/skills/rbg/SKILL.mdOpens the app with this repo with the prompt ready to go β no copy-paste needed.
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