AI infrastructure is a critical but complex domain, and IT organizations face the pressure to deliver results quickly. Juniper Networks shows Juniper Apstra as a solution to streamline the management of AI data centers, providing proven designs. Kyle Baxter emphasizes the necessity of a robust network foundation for AI and ML workloads and highlights the challenges of traditional network management tools, which often overwhelm users with data, making it challenging to pinpoint root causes and resolve issues efficiently.

Juniper addresses these challenges by offering a comprehensive solution built on the Apstra platform. This platform features a contextual graph database, intent-based networking, and a vendor-agnostic design approach. Combined with Mist AI and the Marvis Virtual Network Assistant, Juniper aims to provide a holistic view of the data center, moving away from managing individual switches to focusing on delivering desired outcomes. This approach simplifies the complex network, allowing for precise identification of root causes, related symptoms, and impacted applications or training jobs.

The presentation focuses on managing the training side of AI and ML clusters. It highlights Apstra's global capabilities to manage various data center networks, including back-end, storage, and inference networks, for large enterprises. Juniper offers designs and flexibility to manage any network design using a single tool. The key takeaways are the ability to design, deploy, and assure network operations, utilizing Juniper's leading switching portfolio and security solutions. This aims to provide a streamlined, efficient, and reliable AI infrastructure management solution.

Presented by Kyle Baxter, Head of Apstra Product Management, Juniper Networks. Recorded live in Santa Clara, California, on April 23, 2025, as part of AI Infrastructure Field Day. Watch the entire presentation at https://techfieldday.com/appearance/juniper-networks-presents-at-ai-infrastructure-field-day-2/ or https://techfieldday.com/event/aiifd2/ for more information.