Nile Introduction: Going Beyond NAC with Campus Zero Trust

Event: Mobility Field Day 13

Appearance: Nile Presents at Mobility Field Day 13

Company: Nile

Video Links:

Personnel: Suresh Katukam

Nile recaps the reason why it set out to build campus access network as a service to break the status quo in the industry, eliminate complexity and drive outcomes. Take a peek into all the different add-on services Nile offers on top of the access service. This section also covers the shared responsibility model between Nile, customers and the partners.


New UniFi Software Features & Innovations From Ubiquiti in 2025

Event: Mobility Field Day 13

Appearance: Ubiquiti Presents at Mobility Field Day 13

Company: Ubiquiti

Video Links:

Personnel: Andrew Pieper

Discover what’s new in UniFi Network for 2025, with a focus on scalable software innovations designed for IT administrators, MSPs, and growing enterprise networks. This video highlights key features like Zero Touch Provisioning (ZTP), API integrations, and Identity Provider (IdP) support for zero-trust environments. From automation to policy, learn how UniFi is evolving to meet the demands of global, multi-site enterprises.


Ubiquiti UniFi Wi-Fi 7 Access Points: Full Portfolio Overview & Deployment Guide

Event: Mobility Field Day 13

Appearance: Ubiquiti Presents at Mobility Field Day 13

Company: Ubiquiti

Video Links:

Personnel: Tom Hildebrand

Dive into the full UniFi WiFi 7 access point portfolio from Ubiquiti, designed for deployments of all sizes—from small offices to high-density enterprise and campus environments. This video begins with an overview of the latest UniFi WiFi 7 access points, along with the recommended UniFi gateways and switches that pair best with each model. We’ll walk through real-world deployment examples across offices, warehouses, education, and hospitality to help you design your ideal network. Finally, join Tom for a technical deep dive into advanced WiFi 7 features including Multi-Link Operation (MLO) and PRISM, Ubiquiti’s patented RF filtering technology that enhances performance in noisy environments.


Ubiquiti UniFi Enterprise Partner Programs & Professional Phone Support

Event: Mobility Field Day 13

Appearance: Ubiquiti Presents at Mobility Field Day 13

Company: Ubiquiti

Video Links:

Personnel: Craig Wojtala

Explore how the Ubiquiti UniFi Enterprise Partner Program initiatives support both IT professionals and end users with streamlined access to professional phone support, deal registration, and tailored benefits. Whether you’re a managed service provider, reseller, or enterprise IT leader, this video walks through UniFi’s partner offerings, including onboarding, technical enablement, and tools for scaling deployments. Learn how UniFi’s combination of pre-sales engineering and direct support unlocks value for organizations of all sizes.


Fortinet Secure Cloud Connectivity

Event: Mobility Field Day 13

Appearance: Fortinet Presents at Mobility Field Day 13

Company: Fortinet

Video Links:

Personnel: Alex Vizzari

This session will delve into Fortinet’s integrated approach to secure networking with FortiEdge Cloud and FortiSASE. We’ll highlight how the strategic synergy between these solutions strengthens security for modern enterprises. Additionally, we’ll showcase Fortinet’s innovative collaboration with Linksys, providing enterprise-grade security solutions specifically designed to meet the unique needs and budget constraints of the consumer market. Learn how these powerful integrations can elevate your organization’s security posture while simplifying network management.


Fortinet Product Portfolio and Vision

Event: Mobility Field Day 13

Appearance: Fortinet Presents at Mobility Field Day 13

Company: Fortinet

Video Links:

Personnel: Sumanth Gorajala

In this session, we’ll present Fortinet’s vision for the future of the Secure LAN, highlighting our comprehensive range of solutions across wired, wireless LAN, and 5G technologies. We’ll discuss our latest acquisition, Everest Networks, into our existing portfolio which will enhance our ability to deliver secure, high-performance networking solutions for modern, large public venues.


Fortinet AI-Powered Transformation

Event: Mobility Field Day 13

Appearance: Fortinet Presents at Mobility Field Day 13

Company: Fortinet

Video Links:

Personnel: Alex Vizzari, James Allen

Join us for an in-depth exploration of Fortinet’s AI-driven approach to campus network management. We’ll discuss how FortiAI and FortiAIOps empower organizations to streamline deployment, enhance operational efficiency, and ensure seamless integration of security and networking infrastructure. Discover how artificial intelligence is shaping the future of network security management.


Fortinet Secure Networking Vision & Overview

Event: Mobility Field Day 13

Appearance: Fortinet Presents at Mobility Field Day 13

Company: Fortinet

Video Links:

Personnel: Sumana Mannem

Fortinet is more than just a firewall company; we provide a comprehensive suite of cybersecurity and LAN solutions that help IT, and security professionals create a secure, scalable and high-performance network. This session will offer an overview of Fortinet’s vision for the convergence of security and networking, focusing on how our integrated solutions are transforming the way businesses secure their networks.


Arista CloudVision AGNI, Arista’s Next Generation NAC In Action

Event: Mobility Field Day 13

Appearance: Arista Presents at Mobility Field Day 13

Company: Arista

Video Links:

Personnel: Anubhav Gupta, Parul Sharma

One of the core tenets of CloudVision AGNI is to be able to integrate with other enterprise security tools for profiling, access control and dynamic network access for a true Zero Trust Networking Solution. In this video, we will demo how CV AGNI can integrate with CrowdStrike for dynamic access control and also showcase Arista’s patented UPSK solution with segmentation.


Beyond Signal Bars: Optimizing Wi-Fi User Happiness with Arista’s Digital Experience Monitoring

Event: Mobility Field Day 13

Appearance: Arista Presents at Mobility Field Day 13

Company: Arista

Video Links:

Personnel: Robert Ferruolo, Senthil Shanmugavadivel

In this video, we will introduce some of Arista’s latest innovations around AIOps, proactive network assurance, Digital Experience Monitoring, leveraging Arista’s unique Multi Function Radio capability. Join us as we provide a live demo of these exciting new features and innovations.


Arista and Wi-Fi 7: What the Real World and Arista Lab Tests are Really Telling Us

Event: Mobility Field Day 13

Appearance: Arista Presents at Mobility Field Day 13

Company: Arista

Video Links:

Personnel: Asvin Kumar Muthrurangam

In this session, Asvin will share some insights into the Multi-Link Operation (MLO) behavior of various Wi-Fi 7 clients based on testing conducted in Arista’s lab. Through a live demo, we’ll see how MLO-enabled clients use the spectrum intelligently compared to non-MLO clients – highlighting the real-world benefits of MLO in action.


Engineering Campus-Wide Mobility: Arista’s Scalable Wi-Fi Roaming Design

Event: Mobility Field Day 13

Appearance: Arista Presents at Mobility Field Day 13

Company: Arista

Video Links:

Personnel: Ken Duda

Designing for large Wi-Fi roaming domain especially in environments like university campus has many challenges. In this video, Arista’s own founder and CTO, Ken Duda will talk about how we applied some of our learnings from large scale data center & AI cluster deployments to solve Wi-Fi roaming and thus unifying our wired and WLAN data plane fabric.


Arista’s Latest and Greatest: Innovations in Campus Since the Last Mobility Field Day

Event: Mobility Field Day 13

Appearance: Arista Presents at Mobility Field Day 13

Company: Arista

Video Links:

Personnel: Kumar Srikantan

In this video, get an update from Kumar Srikantan about the state of Arista’s Campus solution in 2025. Hear about the new Wi-Fi 7 Access Point portfolio, expanded switching portfolio, exciting features especially around AIOps and CloudVision AGNI.


Cisco SDN Strategy Discussion

Event:

Appearance: Packet Pushers Discussion of Cisco’s SDN Strategy at Cisco Live US 2012

Company: Cisco

Video Links:

Personnel: Derick Winkworth, Ethan Banks, Greg Ferro, Russ White, Stephen Foskett, Tom Hollingsworth

A group of independent thought leaders from the Networking Field Day/PacketPushers crew gathered at Cisco Live US 2012 to discuss the company’s Open Networking Environment (ONE) announcement. This announcement centered on a strategy for software-defined networking (SDN), and this was the focus of our discussion as well.

This wide-ranging discussion touched on the following topics:

  • Contrasting Cisco’s ONE strategy with SDN and OpenFlow in general
  • APIs, OpenFlow, and XML
  • What will people do with SDN in the future?
  • Distributed and autonomous versus centralized
  • Standards: IEEE vs. IETF, de facto and interoperability
  • VXLAN and the Nexus 1000V – Is 1000V SDN?
  • Operational and organizational impacts
  • Systems engineering
  • Thinking of networks as flows

The conversation will continue in July with two more “Virtual Symposium” discussions with Cisco. We will cover Network Programmability and Virtual Machine Networking. Watch for more!


Demonstration of Day 2 AI network operations, monitoring and anomaly detection with Aviz

Event: AI Infrastructure Field Day 2

Appearance: Aviz Networks Presents at AI Infrastructure Field Day 2

Company: Aviz Networks

Video Links:

Personnel: Ravi Kumar

Aviz Networks’ AI Infrastructure Field Day demonstration focused on Day 2 operations, monitoring, and anomaly detection for AI workloads. The core challenge addressed is the specialized networking requirements of AI, including multiple networks, differentiated QoS, and the need to manage compute as part of the end-to-end network topology. Aviz presented solutions for orchestrating AI fabrics based on Sonic and NVIDIA’s Spectrum-X reference architecture, showcasing a customer workflow that includes network design, Day 0 infrastructure deployment, Day 1 tenant onboarding and traffic isolation, and Day 2 operations like adding Pods, handling alerts, and troubleshooting.

The presentation demonstrated Aviz’s orchestration capabilities for Sonic-based and NVIDIA RA-based AI fabrics. For Sonic, the presenter showed how to orchestrate the fabric using YAML-based intent, validating configurations, and performing operational checks. The demonstration emphasized the ease of use of industry-standard CLI, built-in validation, and the ability to compare configurations to identify any drift. With the NVIDIA Spectrum-X platform, the presentation highlighted agentless orchestration, the use of NVIDIA AIR for simulating deployments, and config comparison.

Finally, the presentation detailed Aviz’s monitoring and anomaly detection features. The tool provides comprehensive monitoring with a bottom-up approach for networks, servers, and GPUs. The demo showed how to view various telemetry data, including traffic, queue drops, and GPU health metrics. The presentation also covered Aviz’s built-in anomaly detection system, which allows users to create custom rules and receive notifications through tools like Slack and Zendesk. The system includes curated rules, role-based access control, and configuration comparison capabilities to streamline operations and reduce potential errors.


Design, deploy, and monitor networks for AI with Aviz

Event: AI Infrastructure Field Day 2

Appearance: Aviz Networks Presents at AI Infrastructure Field Day 2

Company: Aviz Networks

Video Links:

Personnel: Thomas Scheibe

Thomas Scheibe, Chief Product Officer, offers solutions for designing, deploying, and monitoring networks for AI workloads. Their focus is on addressing the specialized networking needs of AI, including multiple networks, differentiated Quality of Service (QoS), and the integration of compute into the end-to-end network topology. They aim to provide automation and orchestration for faster deployment, service activation, and infrastructure expansion. Their product, ONCE, supports Sonic and Cumulus network operating systems, focusing on streamlining network management through design, modeling, deployment, and monitoring capabilities.

The Aviz presentation highlighted the evolution of networking in AI, emphasizing the shift from a single data center network to multiple networks, particularly the separation between front-end (user access) and back-end (GPU communication) networks. Aviz recognizes the importance of lossless behavior, different methods to address AI application requirements, and the integration of network settings on both the switches and the network interface cards (NICs). The company partners with hardware providers and uses reference architectures like NVIDIA Spectrum-X to automate network configuration. This allows enterprises to define networks and configure network separation.

Aviz offers comprehensive support for Sonic deployments in enterprise data centers and at the edge. They are automating deployment workflows for the NVIDIA Spectrum-X reference architecture, with the ability to configure multi-tenancy and extend the fabric. Aviz simplifies network management in AI, allowing users to deploy and manage their networks quickly and efficiently. They offer a comprehensive suite of solutions to design, deploy, and monitor networks for AI, focusing on automation and orchestration.


Wrapping up and summarizing Nutanix Enterprise AI

Event: AI Infrastructure Field Day 2

Appearance: Nutanix Presents at AI Infrastructure Field Day 2

Company: Nutanix

Video Links:

Personnel: Mike Barmonde

The Nutanix presentation at AI Infrastructure Field Day focused on enterprise AI solutions, emphasizing giving customers a solid technical understanding of Nutanix Enterprise AI (NAI) and its role in addressing key customer challenges. The discussion highlighted the curated model catalog, offering pre-configured and customizable models, and the ability to incorporate new cutting-edge models, even within air-gapped environments, easily. This approach provides control over models and data, which is particularly relevant for customers seeking sovereign AI solutions and needing to deploy AI models in their own environments.

Nutanix also emphasized the “deploy once, inference many” model, allowing for the creation of a shared service model where multiple applications can connect to deployed models via endpoints. Furthermore, the session touched upon the simplification of sizing, as NAI streamlines the deployment of models, making the process straightforward. The speaker reiterated the benefits of NAI as an application running on Kubernetes, offering flexibility and portability. The presentation concluded by discussing the future of distributed inference across multiple nodes, acknowledging its importance and status as a planned future development.

A key takeaway from the presentation was the growing demand for sovereign AI, driven by geopolitical factors and specific terms of service that restrict the use of certain models in certain regions. Nutanix recognizes and actively helps its customers address this need by providing the necessary tools and infrastructure to enable control over AI models and data within their own environments. The company’s commitment to adapting and evolving its AI solutions to meet the rapid advancements in the AI landscape was underscored, ensuring that Nutanix remains a relevant player in the enterprise AI space.


AI Inferencing Sizing Considerations on Nutanix Enterprise AI

Event: AI Infrastructure Field Day 2

Appearance: Nutanix Presents at AI Infrastructure Field Day 2

Company: Nutanix

Video Links:

Personnel: Jesse Gonzales

Jesse Gonzales, Staff Solution Architect, offers sizing guidance for AI inferencing based on real-world experience. The presentation focuses on the critical aspect of appropriately sizing AI infrastructure, particularly for inferencing workloads. Gonzales emphasized the need to understand model requirements, GPU device types, and the role of inference engines. He walks the audience through considerations like CPU and memory requirements based on the selected inference engine, and how this directly impacts the resources needed on Kubernetes worker nodes. The discussion also touches on the importance of accounting for administrative overhead and high availability when deploying LLM endpoints, offering a practical guide to managing resources within a Kubernetes cluster.

The presentation highlights the value of the Nutanix Enterprise AI’s pre-validated models, offering recommendations on the specific resources needed to run a model in a production-ready environment. Gonzales discussed the shift in customer focus from proof-of-concept to centralized systems that allow for sharing large models. The discussion also underscores the importance of accounting for factors like planned maintenance and ensuring sufficient capacity for pod migration. Gonzales explained the sizing process, starting with model selection, GPU device identification, and determining GPU count, followed by calculating CPU and memory needs.

Throughout the presentation, Gonzales addresses critical aspects like FinOps and cost management, highlighting the forthcoming integration of metrics for request counts, latency, and eventually, token-based consumption. He addressed questions about the deployment and licensing options for Nutanix Enterprise AI (NAI), offering different scenarios for on-premises, bare metal, and cloud deployments, depending on the customer’s existing infrastructure. Nutanix’s approach revolves around flexibility, supporting various choices in infrastructure, virtualization, and Kubernetes distributions. The presentation demonstrates how the company streamlines AI deployment and management, making it easier for customers to navigate the complexities of AI infrastructure and scale as needed.


Nutanix Enterprise AI Demonstration

Event: AI Infrastructure Field Day 2

Appearance: Nutanix Presents at AI Infrastructure Field Day 2

Company: Nutanix

Video Links:

Personnel: Laura Jordana

As presented by Laura Jordana, Nutanix Enterprise AI (NAI) is designed to simplify the process of deploying and managing AI models for IT administrators and developers. The presentation begins by demonstrating the NAI interface, a Kubernetes application deployable on various platforms. The primary use case highlighted is enabling IT admins to provide developers with easy access to LLMs by connecting to external model repositories and creating secure endpoints. This allows developers to build and deploy AI workflows while keeping data within the organization’s control.

The demo showcases the dashboard, which offers insights into active endpoints, request metrics, and infrastructure health. This view is crucial for IT admins to monitor model usage and impact on resources. The process involves importing models from various hubs like Hugging Face and creating endpoints that serve as the inference engine connection. The presenter emphasized the simplicity of this process, with much of the configuration pre-filled to ease the admin workload. They also highlighted the platform’s OpenAI compatibility, allowing integration with existing tools.

While focusing on inferencing, not model training, the platform provides a secure and streamlined way to deploy and manage models within the organization’s infrastructure. The key takeaway from the presentation is the simplification of AI model deployment, focusing on day 2 operations and ease of use. The platform leverages Kubernetes’ ability to run on Nutanix, EKS, and other cloud instances. It also provides API access and monitoring capabilities for IT admins, and easy access to LLMs for AI developers.


Lets take a look at Nutanix Enterprise AI

Event: AI Infrastructure Field Day 2

Appearance: Nutanix Presents at AI Infrastructure Field Day 2

Company: Nutanix

Video Links:

Personnel: Ashwini Vasanth

Ashwini Vasanth presented Nutanix Enterprise AI, which simplifies the complexities of adopting and deploying GenAI models and addresses common customer challenges. The product, launched in November 2024, focuses on providing a curated and validated approach to model selection, deployment, and security. The presentation highlighted the “cold start” problem, acknowledging the overwhelming number of available models and the need for a user-friendly starting point for IT or AI admins.

Nutanix Enterprise AI offers a curated list of validated models through partnerships with Hugging Face and NVIDIA to address these challenges, providing a “small, medium, and large” selection. This approach aims to simplify model selection and ensure reliable operation. Additionally, the platform handles GPU selection, inference engine choices, and security complexities, incorporating dynamic endpoint creation to streamline the deployment process. Key to Nutanix’s offering is the integrated security, where Nutanix security experts perform scans for vulnerabilities, eliminating the need for customers to manage their security efforts.

Beyond the mechanics of model deployment, Vasanth discussed the need for on-premises deployment, choice of environments, and addressing the “shadow IT” problem through centralized resource management and monitoring dashboards. The presentation underscored Nutanix’s strategic move into the AI space, leveraging its existing infrastructure expertise, including its Kubernetes platform, storage solutions, and the core principles of simplifying infrastructure. The company’s approach has evolved from a solutions-based offering to a full-fledged product based on the need for a pre-integrated AI platform.


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