CEO and co-founder Alex Saroyan discusses the evolution of network engineering in the era of AI. Saroyan highlights that AI networking significantly differs from traditional data center networking due to the massive scale of GPU clusters, ranging from 1,000 to over 50,000 GPUs, and the sheer dens...

Alex Saroyan, CEO and co-founder of Netris, provides insights from the company's experience in deploying and automating large-scale GPU clusters. This second part of the presentation focuses specifically on the life cycle of AI networking, emphasizing that sustainable AI business strategies requi...

This presentation focuses on the consumption model of AI networks, specifically helping network engineers enable self-service capabilities for AI factory and neocloud operators. Alex Saroyan argues that while network engineers manage complex physical infrastructures, the consumers, such as comput...

This presentation provides a technical demonstration of the Netris controller's capabilities in automating and simulating large-scale AI networking environments. The demonstration highlights the platform's Day Zero functionality, where network engineers can model complex topologies and validate d...

Selector AI is an AI-powered network observability platform that unifies signals across multi-domain environments to provide intelligent outcomes and root cause analysis (RCA). The platform helps networking and infrastructure operation teams lower their Mean Time to Repair (MTTR) and improve oper...

DevOps engineers are used to self-service VPC-networking experience in the public cloud. Netris helps NetOps to enable the same experience for on-premises networks. In this presentation, CEO and co-founder Alex Saroyan introduces Netris software and demonstrates what it takes for NetOps engineers...

Selector AI introduces an AI-powered network observability platform designed to unify multi-domain signals into actionable root cause analysis (RCA). The platform focuses on reducing the Mean Time to Repair (MTTR) by addressing the alert storm and fragmented data silos that plague modern network ...

Selector AI introduces an AI-powered network observability platform designed to unify multi-domain signals into actionable root cause analysis (RCA). The platform focuses on reducing the Mean Time to Repair (MTTR) by addressing the alert storm and fragmented data silos that plague modern network ...

In this session, Mike Hoffman, co-founder of NetAI, discusses the critical role of deterministic root cause analysis as a prerequisite for safe autonomous network operations. He explains why current AIOps solutions still necessitate manual intervention and how NetAI’s graph neural network (GNN) t...

In this session, Dr. Deepak Kakadia, founder and CEO of NetAI, discusses the technical architecture of NetAI's graph neural network (GNN) and how it provides deterministic root cause analysis for autonomous network operations. Kakadia leverages his experience at Sun Microsystems, Verizon Labs, an...

In this functional architecture deep dive, Irfan Lateef, Sales Engineering and Business Development lead, demonstrates the practical application of NetAI's graph neural network (GNN) for large-scale networking. Lateef details the platform's multi-layered ingestion process, which pulls configurati...

Michael Witte, a principal architect at Worldwide Technology, discusses the fundamental shift in data center networking required to support large-scale AI and machine learning workloads. The presentation transitions from the basic biological inspiration behind neural networks to the physical and ...

AI isn’t being limited by compute anymore, it’s being limited by the network. At Networking Field Day 40, Tom Hollingsworth breaks down how AI networking is evolving beyond traditional models and infrastructure. From the rise of “scale across” architectures to the urgent need for next-gen optical...