ray-serve
CommunityScale model serving on Kubernetes with Ray Serve
Authortylertitsworth
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Ray Serve on Kubernetes addresses the challenge of scalable, production-grade model serving by orchestrating deployments, proxies, and autoscaling for ML workloads.
Core Features & Use Cases
- Kubernetes-native Ray Serve deployments via RayService CRD
- Autoscaling, batching, streaming, and multi-model pipelines
- Use cases: serving large language models, multi-model inference pipelines, and ML workflows with controlled routing
Quick Start
Apply a RayService CRD to deploy and scale your model-serving deployment on Kubernetes.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ray-serve Download link: https://github.com/tylertitsworth/skills/archive/main.zip#ray-serve Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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