GPU renters store their proprietary model weights on GPUs, which cost tens of thousands to tens of millions of dollars to train and are the core intellectual property of most GenAI companies. Neoclouds who offer Kubernetes namespace isolation between tenants are not secure because there are many container escape vulnerabilities. Learn how Hedgehog VPC helps neoclouds meet ClusterMAX security criteria for multiple tenants in their managed Kubernetes platforms.
In the open IT world we all live, it’s becoming clear that AI and all of the associated infrastructure requirements and implications (not just the network) have landed squarely back on our laps. It’s all new to everyone and as open champion, we are the tightly connected to the AI generation of computing. So along with 800G switching, SONiC security, traffic shaping and all of the other traditional topics we normally thrive in, we are now sitting at the GPU compute table. In this session…
As AI continues to transform industries, the demand for AI-ready campus networks has become a pressing priority. But what defines an AI-ready campus network, and why is it essential for enterprises to transition to this advanced infrastructure now? These networks must not only meet the high-bandwidth, low-latency requirements of AI workloads but also integrate seamlessly with legacy devices, multi-vendor systems, and diverse operational technologies (OT) to ensure a smooth and scalable transition. In this presentation, Dorado will explore how organizations can leverage open technologies and…
Discover how design-driven automation transforms network operations at scale. This workshop, tailored for IT and networking leaders, focuses on the business and operational benefits of adopting a design-driven automation approach. Learn how standardized, repeatable designs simplify deployment across data centers, branch offices, retail, and logistics sites while reducing risk and accelerating time to value. See how a design-driven approach streamlines the full lifecycle from design to deployment to validation. Perfect for decision-makers seeking strategic insights into how design-driven automation delivers consistency, agility, and confidence across complex…
From 2001–2024, the golden era of the API was about connecting to data. REST, GraphQL, and gRPC fueled an explosion of SaaS ecosystems, enabling machines and services to talk to each other over well-defined, structured endpoints. This was the internet’s “industrial revolution” for information access. 2025 marks a new epoch — where we shift from connecting to data → connecting to intelligence. Two foundational shifts are driving this: 1. Model Context Protocol (MCP) 16,000+ servers already online — from personal knowledge bases to enterprise tools. Universal clients like VS Code, Claude Desktop, Cursor,…
This two-hour instructor-led workshop is designed to provide network engineers with foundational skills in Generative AI Retrieval-Augmented Generation (RAG) applications. Aligned with the AI Networking Summit’s mission to empower enterprises through innovative AI technologies, this session offers a practical introduction to integrating AI-driven insights directly within network engineering contexts. Participants will explore key RAG concepts, understand their application in enhancing network operations, and work hands-on to build a basic RAG implementation. By the end of the workshop, attendees will have a working prototype, bridging the…
This workshop lays out the rationale for acquiring the correct tech ecosystem skills needed well beyond vendor certifications and develop Next Generation Network Engineers. It presents a layered approach in the form of a curriculum with 100-400 level courses, along with electives and and fast-developing areas. The content is built on decades of experience in Networking and NetOps, ongoing interviews conducted via the Total Network Operations podcast, and other interview and survey instruments–all with the goal of helping individuals grow their skillsets to align with…
In this workshop we will talk about understanding how agentic AI transforms network operations through vertical (MCP) and horizontal (A2A) integration: Why agentic AI matters for NetOps – digging into the horizontal (A2A) + vertical (MCP) stack LLMs vs. traditional ML and working with NetOps datasets (SNMP, flow, logs, etc) Planner, memory, tool-calling sub-agents, and prompt engineering vs. policy code Intro to MCP, endpoints, auth model, using MCP servers for NetOps tools (JunOS, Itential, Prometheus, etc), security risks and mitigations (OAuth 2.1, network hardening, etc)…
This workshop will lay the groundwork for a successful AI initiative by aligning goals, assessing readiness, and defining measurable outcomes. You will learn: ● How to identify a meaningful AI initiative for your organization ● Aligning business objectives to an AI initiative ● Identifying practical AI use-cases for your business ● Understanding your data situation ● Measuring AI performance with technical KPIs ● Measuring AI effectiveness for business outcomes ● Resource and staff considerations for an AI initiative ● Security concerns in AI (technical and…
As Agentic AI reshapes enterprise strategy, from autonomous operations to intelligent decision-making, the underlying network and security architecture must evolve. Success in this new era demands a foundation purpose-built for AI-driven agility, automation, and risk reduction. In this session, we’ll explore how to build AI-ready networks and security architectures that meet the demands of modern enterprise environments. This session explores how a modern, cloud-native architecture provides the secure, agile, and high-performance foundation needed for deploying Agentic AI at scale. You will learn how to: Secure…
