Rafay
Accelerate Cloud-native and AI/ML Initiatives with Rafay
Rafay is an AI-powered platform that accelerates cloud-native and AI/ML initiatives for enterprises. It provides automation for Kubernetes clusters, cloud cost optimization, and AI workbenches as a service. Rafay enables platform teams to focus on innovation by automating self-service cloud infrastructure workflows.
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Features
- Multi-cluster config & policy standardization
- Proactive cluster and app rightsizing
- Customizable GPU PaaS
- Managed AI/ML tools for MLOps
- GenAI playgrounds for developers
Advantages
- Standardizes and centralizes landing zones and Kubernetes environments
- Enables self-service workflows
- Lowers infrastructure costs
- Easily manages AI infrastructure and tooling
- Trusted by leading companies
Disadvantages
- Complexity in managing large-scale Kubernetes clusters
- May require training for optimal utilization
- Limited customization options for advanced users
Frequently Asked Questions
-
Q:What is Rafay?
A:Rafay is an AI-powered platform that accelerates cloud-native and AI/ML initiatives for enterprises. -
Q:What are the key features of Rafay?
A:Key features include multi-cluster standardization, GPU PaaS, and AI workbenches. -
Q:How does Rafay benefit organizations?
A:Rafay lowers cloud costs, increases deployment frequency, and reduces MTTR.
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