Praful Lalchandani, VP of Product, Data Center Platforms and AI Solutions at Juniper Networks, opened the presentation by highlighting the rapid growth of the AI data center space and its unique challenges. He noted that Juniper Networks, with its 25 years of experience in networking and security, is uniquely positioned to address these challenges and help customers meet the demands of AI. Juniper is experiencing maximum momentum in the data center space, with revenues exceeding $1 billion in networking alone in 2024. The presentation then dove into the increasing distribution of AI workloads across hyperscalers, Neo Cloud providers, private clouds, and the edge, emphasizing Juniper's comprehensive portfolio of solutions spanning data center fabrics, interconnectivity, and security.

Lalchandani focused on the critical role of networking in the AI lifecycle, particularly for training and inference. High bandwidth, low latency, and congestion-free networking are essential to optimizing job completion time for training and throughput and minimizing latency for inferencing. The discussion highlighted Juniper's innovations in this space, including developing AI load balancing capabilities such as Dynamic Load Balancing, Global Load Balancing, and RDMA-aware load balancing. Juniper was the first vendor in the industry to ship a 64-port 800-gig switch, showcasing Juniper's commitment to providing the bandwidth needed for AI workloads and achieving a leading 800-gig market share.

The presentation also emphasizes AI clusters' operational complexity and security challenges. Juniper's Apstra solution offers lifecycle management, from design to deployment to assurance, providing end-to-end congestion visibility and automated remediation recommendations. Security is paramount, and Juniper advocates a defense-in-depth approach with its SRX portfolio, protecting the edge, east-west security within the fabric, encrypted data center interconnects, and security for public cloud applications. The presentation concluded by addressing the dilemma customers face between open, best-of-breed technologies and proprietary, tightly coupled ecosystems, and that Juniper offers validated designs with AI labs to show customers they don't have to make a trade-off and can get the best of both worlds.

Presented by Praful Lalchandani, VP of Product, Data Center Platforms and AI Solutions. 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.