Enterprise network and security operations centers are sitting on a goldmine of untapped efficiency — not from bleeding-edge autonomous agentic AI, but from mature, battle-tested capabilities already at their fingertips. This panel brings together practitioners who have deployed large language models, machine learning pipelines, and intelligent automation within live NOC and SOC environments to cut mean-time-to-resolution, reduce alert fatigue, and reclaim analyst capacity. Panelists will share concrete before-and-after metrics, walk through implementation playbooks that worked — and the integration pitfalls, data-quality traps, and organizational resistance…
The enterprise WAN is on the verge of a fundamental transformation as AI agents reshape traffic patterns, redefine latency sensitivity, and drive entirely new bandwidth demands. Traditional models—static architectures, oversubscribed links, rigid multi-year contracts, and slow, manual procurement—are giving way to a new vision for what the WAN can become. In this forward-looking session, ONUG Connect working group members will present the art of the possible: a future WAN that is flexible, elastic, and inherently secure by design. Just as importantly, this new model shifts…
As AI agents become more capable, a new operational model is emerging: role-based agents designed to support specific operational responsibilities. IT and Network Operations teams interact with agents tailored for frontline responders, specialists, and reliability engineers. These agents combine predictive machine learning, contextual memory, and generative reasoning to summarize incidents, identify root cause, recommend validated remediation steps, and execute approved actions within policy guardrails. In this session, we explore the architecture behind role-based operational agents and how they integrate predictive intelligence, episodic memory, and cross-domain…
AI Factories are expensive ecosystems. Design, Deployment, and workload scheduling need to be automated to ensure the desired outcome. This session shows how Aviz ONES delivers the blueprint for SONIC networks and end-end orchestration experience through partner integrations.
Every enterprise wants agentic NetOps, but the real barrier is not the AI model. It is the months spent building data connectors, telemetry pipelines, domain-aware retrieval, and security scaffolding before a single agent reaches production. This session shows a path to get BYO agents into production in 1 month. Aviz Network Copilot is a composable library of agents, tools, and data connectors that radically shrinks time-to-production while preserving enterprise-grade guardrails. Looking to the future, governance becomes the central challenge, and we will show why relationship-based…
As traffic demands increased, eBay needed to scale network bandwidth without sacrificing cost efficiency or operational predictability. In this session, eBay will discuss how it used open networking and SONiC to move from 100G to 400G, enabling faster upgrades, greater hardware flexibility, and stronger long-term operational control. Attendees will gain practical insight into how standardized, vendor-agnostic networking can help modernize infrastructure while supporting scale, efficiency, and consistent NetOps operations.
eBay operates one of the most advanced enterprise networks built on SONiC and large-scale automation. In this technical deep dive, Rick Casarez provides an inside look at the architecture, design principles, and operational decisions behind eBay’s production SONiC deployment. Rick will also demonstrate how eBay is applying AI-powered LLMs to assist and automate NOC workflows, enabling engineers to investigate incidents faster, interpret telemetry, and streamline troubleshooting runbooks. The session concludes with a look at how eBay’s network architecture is evolving to support AI workloads and…
Networking plays a critical role in the accelerated compute fabric. Critical features to enable high performance networking for AI workloads are being defined and ratified in UEC and ESUN (OCP). Marvell is a contributor to both these industry standards and has developed a full portfolio of Scale-out and Scale-up switches powered by SONiC to enable best in class AI fabrics.
As AI clusters scale toward hundreds of thousands of GPUs, the network fabric dictates the overall efficiency of the compute investment. Transitioning to 1.6TbE port switches enables architects to build a high-radix, 102.4Tbps foundation that flattens network hierarchy and eliminates additional hops. This session demonstrates how 1.6TbE infrastructure optimizes AI workload performance at scale. We will evaluate the impact of 224G SerDes signaling and examine how support for Linear-drive Pluggable Optics (LPO) reduces per-link latency and cuts power consumption by up to 50%—a critical metric…
We know most Enterprises aren’t running tens of thousands of GPUs (yet!), but AI is quickly accelerating every industry. Before you can run AI, you need a network built to carry it. That means your network must be smart, secure, and ready to evolve. This session cuts through the complexity with a practical look at how enterprises can get AI infrastructure up and running without disrupting existing workloads. Learn about what it takes to run both traditional and AI workloads seamlessly, with unified operations, automation,…
