AI-native networking refers to the integration of artificial intelligence into network management, allowing networks to anticipate and resolve issues proactively rather than reactively. Unlike traditional networks that rely on manual monitoring and troubleshooting, AI-native networks utilize advanced technologies like large language models (LLMs) and generative AI (GenAI) to enhance user experience and operational efficiency.

Juniper's AI data center solution is designed for quick deployment of high-performing AI training and inference networks. It offers flexibility in design and ease of management, even with limited IT resources. By leveraging validated designs and expertise, it optimizes AI model runs, ensuring that networks are efficient and effective in handling AI workloads.

Marvis Actions is a component of Juniper's AI that identifies potential network issues and provides prioritized recommendations for resolution. It can even execute fixes autonomously for common problems, creating a self-healing network. Marvis Minis, on the other hand, act as digital twins that simulate user behavior to proactively identify potential issues before they affect real users, enhancing overall network reliability.