Announcement5 min read
Introducing rbee: Multi-Machine GPU Orchestration Without Kubernetes
Learn why we built rbee and how it solves the complexity of multi-machine GPU orchestration with SSH-based deployment.
Learn about multi-machine GPU orchestration, self-hosted AI, GDPR compliance, and best practices from the rbee team.
Learn why we built rbee and how it solves the complexity of multi-machine GPU orchestration with SSH-based deployment.
Step-by-step tutorial: Install rbee, configure your hives, and start orchestrating GPUs across multiple machines.
Understanding GDPR requirements for AI systems and how rbee provides built-in compliance features.
How rbee handles different GPU types in the same colony. Mix CUDA, Metal, and ROCm workers seamlessly.
Real-world cost analysis: How much can you save by running AI on your own hardware instead of paying for cloud APIs?
Deep dive into rbee's Rhai scripting engine. Learn how to implement custom routing rules for A/B testing and canary deployments.
How rbee is pursuing environmental sustainability through local-first AI, democratizing AI access for everyone, and providing real learning opportunities in distributed systems.
Turn your GPUs into a unified colony. Join the waitlist and be first to know when we launch.