ONUG Triple T presentations provide you with a unique opportunity to view Tools, Technologies and Techniques that map to solutions that enable trusted Infrastructure to drive business value in today’s Enterprise. From real-world NetDevOps to automating and securing multi-cloud deployments, you will find answers to your unique requirements and challenges.
Mythos introduces a new reality: AI systems that can continuously analyze code and uncover vulnerabilities at a scale and speed far beyond human capacity—fundamentally changing how risk is identified inside the enterprise. In this interactive “Ask Me Anything” session, Tom Gillis, Nick Lippis, John Feldmeier (eBay), Mick Curry (Fidelity), and Chris Moretti (Evernorth) will engage directly with the ONUG community to explore what happens next—when vulnerability discovery outpaces an organization’s ability to respond. Driven by audience questions, the discussion will tackle the operational consequences of…
Stop managing your network by “looking it up in a spreadsheet” and start managing it by intent and data. We’ve taken our deep-dive, 2-day Source of Truth and Nautobot Fundamentals course and distilled it into a high-impact, intensive workshop. The session is a hands-on experience designed to trigger that “ah-ha” moment where the theory of a Source of Truth (SoT) meets the reality of network automation. What You Will Learn: · The “Intended State” Shift: Learn why the difference between what your network is doing…
In this mid-day keynote, Gluware Chief Product Officer Ernest Lefner and Bryan Kingsley, Senior Director for Cloud and Networks – Ohio State University Wexner Medical Center (OSUMC), will unpack the difference that AI can make in a mainstream enterprise network when it has been made ready for AI. The session will cover: The challenge: How do you get from legacy networks to automated and AI-ready? Pre-req – lay the foundation Solving physical technical debt Building a new network, based on a modern design based on…
Changing business demands are driving unprecedented requirements for large‑scale data movement. Organizations are migrating to the cloud to modernize applications, expand globally, improve resilience, and optimize costs, often moving massive data sets from on‑premises environments to the cloud, or between cloud providers. At the same time, AI initiatives are accelerating the need to rapidly replicate, aggregate, and distribute data across regions and platforms to support model training, inference and analytics. Whether driven by cloud migration, cloud‑to‑cloud optimization, or AI enablement, success depends on the ability…
Proprietary networks create xPU cluster complexity. NVIDIA validated and OCP accepted reference architectures for AI networking simplify complexity with common Virtual Private Cloud abstractions. Neoclouds can use these RAs for the low-cost, low-latency AI platform services.
As artificial intelligence moves beyond the confines of the centralized data center and into real-world environments, enterprise networks are being pushed into entirely new territory. This session explores the critical convergence of AI, mobility, and edge computing, examining why traditional wireless approaches often fall short in supporting the demands of modern AI-driven environments. We will dive into the transition from automated to truly autonomous operations, driven by the rise of Agentic AI. Attendees will learn why a new “”AI-native mobile infrastructure”” is required to bridge…
Across enterprise IT, the pattern is the same. Teams have monitoring. Many have automation. Some have been running AI pilots for over a year. And yet, when an incident fires, the response still looks a lot like it did five years ago. The problem is not the technology. The problem is that most teams are stalled at a predictable point in their operational evolution, and they don’t have a name for where they are. Without that, moving forward is guesswork. This session introduces a practical…
AI networking has become one of the industry’s most critical bottlenecks, limiting the speed, scalability, and efficiency of modern AI training and inference workloads. As clusters grow, operators require deterministic latency, extreme bandwidth, and open architectures that foster flexibility, interoperability, and rapid innovation. Upscale AI will explore how SONiC, an open-source network operating system, enables scalable and efficient AI networking. Upscale AI will also discuss practical strategies for adopting SONiC across the AI stack, and how cohesive, low-latency system design optimizes performance, accelerates deployment, and…
Rapid GenAI adoption often outpaces security guardrails, creating a dangerous “velocity gap.” This session explores a real-world architectural approach to implementing continuous security assurance within AI pipelines. Attendees will walk away with a prescriptive framework for: * Establishing identity and authorization for AI agents to prevent overreach. * Implementing drift detection in policy and data access to maintain governance. * Bridging the gap between innovation and security to enable enterprise growth.
