AI-First Kubernetes Infrastructures
Harness the power of hyperscalers, novelty of neocloud providers and efficiency of on-prem infrastructures, all accessible from within a single Kubernetes cluster.
Single Cluster for All Your Workloads
Tap into GPU arbitrage, bypass regional Nvidia RTX shortages and access high-performance storage and networking from specialist providers. With Claudie’s true multi-cloud at the nodepool level, you can cut infrastructure costs across training, data ingestion, and inference – without compromising performance.
The Claudie Experience
Easy to Start
Provide one manifest. Launch your first cluster up in minutes.
Built for Scale
Expand across multiple providers on-the-fly and fail over seamlessly.
No Vendor Lock-in
Move workloads freely between hyperscalers, neoclouds, and on-prem - on your terms.
Cost-Efficient
Match each workload to the most efficient provider and cut spend.
Open-Source
100% open-source. Contribute, extend, and make it yours.
Made for the AI era
Leverage GPU instances from regional providers and autoscale them as demand grows.
Engage with Berops and leverage
Multi-Cloud Native
Securely interconnect public cloud and on-premises systems.
Security & Performance Audits
Get your infrastructure assessed and optimized regularly.
Integrated Observability
Focused, continuously evolving monitoring for what matters most.
Custom Solutions
Tailored development, integration, and maintenance support.
Share the experience
"Claudie is a game-changer for hybrid-cloud deployments. It makes building cost-efficient, flexible AI infrastructure effortless."
"Claudie gives us true freedom to deploy Kubernetes anywhere — any region, any provider. Being open-source is key."
"With Claudie, I don't have to think about infrastructure. We go multi-cloud without draining the budget."
