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The AI-Native Infrastructure Platform by KKP

Streamlined operations, superior efficiency, and scalable performance through advanced AIOps integration—this is what you get when you choose AI-driven infrastructure solutions by Kubermatic.

Leverage the Power of AI for Infrastructure Operation

Transform your IT operations with our AI-Native Infrastructure Platform, leveraging AIOps for efficient scaling and optimized performance.

  • Gain maximum value from every operation.
  • Ensure seamless experiences for both operators and end-users.
  • Benefit from AI-driven infrastructure management for enhanced efficiency.
  • Enjoy greater flexibility and automation for streamlined operations.
  • Experience reliable performance at scale.
Kubermatic Kubernetes Platform AI application screenshot

Complete & Efficient Cluster Debugging with K8sGPT

K8sGPT has been integrated to KKP as a default application and also to the web terminal feature as a CLI tool. With the help of AI all debugging sessions will be brought closer to the human language and understanding.

Effortless Nodes Management with NVIDIA GPU Operator

Effortlessly manage nodes equipped with NVIDIA GPUs and other specialized devices through Kubernetes' device plugin framework. Automatically configure multiple software components with ease, saving time and reducing manual errors.

Automation & Increased Efficiency

AI-Native Infrastructure Platform, specifically designed to utilize AIOps to ensure optimal operator and end-user experiences. More flexibility, automation, and confidence required for simplified operations, increased efficiency, and dependable performance at scale.

Summary

Leveraging AI for the operation of your infrastructure or constructing an infrastructure optimized for AI, Kubermatic offers the flexibility, automation, and confidence required for simplified operations, increased efficiency, and dependable performance at scale. Moreover, KKP 2.25 includes the K8sGPT as a default application as well as NVIDIA GPU Operator, simplifying the management of nodes and harnessing the full potential of specialized hardware resources within Kubernetes environments.

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