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AI Lifecycle Automation

Stay updated with our expert articles and insights on cloud-native and AI infrastructure management and orchestration topics.

Rafay MCP Server Phase 2: From Visibility to Lifecycle Management

See how Rafay MCP Server Phase 2 expands from read-only visibility to governed lifecycle management, enabling AI clients to create, update, delete, and publish platform resources with RBAC and audit controls.

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Simplifying AI Application Management with Kubernetes: The Rafay Advantage

Artificial Intelligence (AI) applications have revolutionized industries, but managing and scaling these complex applications – and the large language models (LLMs) powering them - can be a daunting task. This is where Rafay Systems steps in, offering a unified platform from which enterprises can streamline and automate the lifecycle of AI applications and their dependencies, enabling them to unlock the full potential of their AI initiatives.

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