From Latency to Learning: Adapting Campus Fabrics for LLM Inference via SONiC – Celestica Triple-T
As campus networks transition from general connectivity to AI-ready infrastructure, the surge in LLM inference traffic demands a fundamental architectural shift. Localized AI applications require high throughput and ultra-low latency that legacy systems weren’t built to handle. This session explores how SONiC’s open-source framework provides the telemetry, load balancing, and agility needed to adapt campus fabrics for heavy inference workloads. Join us for a deep dive into the foundational capabilities of SONiC that turn bandwidth-heavy AI demands into seamless learning experiences.
Arun Solleti is a seasoned technical product marketing professional with 20+ years of experience driving network infrastructure, cloud and enterprise solutions. Currently Director of Technical Product Marketing at Celestica, he previously drove innovation at Electronic Arts (Gen AI/cloud services), AWS (Amazon ECR), Extreme Networks (Campus Switching) and Cisco Systems. Arun has experience in products and solutions across enterprise markets such as Healthcare, Retail, Higher education etc. He holds an MBA from UNC Kenan-Flagler and MS in Computer Science from University of South Florida.
