Infrastructure Requirements
Ray and KServe are designed for Kubernetes environments. Teams need existing K8s infrastructure and expertise.
Comparison • SSH vs Kubernetesrbee vs Ray+KServe:
rbee vs Ray+KServe:
SSH vs Kubernetes Complexity
Ray and KServe form a powerful ML platform stack for teams with Kubernetes infrastructure. rbee is an SSH-based multi-machine orchestration layer for teams who want simpler deployment. Choose based on your infrastructure: existing K8s investment or minimal operational overhead.
- Simple SSH deployment
- No Kubernetes required
- Minimal operational overhead
The Challenge
Platform Complexity
Ray and KServe are powerful but designed for teams with Kubernetes infrastructure and platform expertise.
Feature Comparison
rbee vs Ray+KServe: Side-by-Side
See how rbee and Ray+KServe compare across key features.
✓Supported✗Not supported~Requires custom codeRay+KServe is enterprise-grade but requires significant infrastructure investment. rbee provides similar capabilities with dramatically simpler deployment.
| Feature | rbee | Ray + KServe |
|---|---|---|
| Setup time | 5 minutes | 3-6 months |
| Deployment method | SSH | Kubernetes + Helm + Ray Operator |
| Team size required | 1 developer | 3-5 DevOps engineers |
| Kubernetes required | ||
| Multi-machine orchestration | ||
| Heterogeneous hardware | Limited | |
| Apple Silicon support | ||
| User-scriptable routing | Via Python | |
| OpenAI-compatible API | Via custom code | |
| Learning curve | Low | Very High |
| Operational complexity | Low | Very High |
| License | GPL-3.0 + MIT | Apache 2.0 |
| Best for | Startups, homelabs, quick deployments | Large enterprises with K8s teams |
The Solution
rbee: SSH-Based Orchestration
Multi-machine orchestration without platform complexity.
When to Choose
Which One is Right for You?
Choose based on your team and timeline.
FAQ
Common Questions
Everything you need to know about rbee vs Ray + KServe.
Deployment
General
Technical
Ready for Multi-Machine Orchestration?
See how rbee handles SSH-based deployment without platform complexity.