Edge Tech Podcast

Simply NUC
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  • TECHNOLOGY
  • UPDATED MONTHLY

A podcast all about technology, specifically edge computing for businesses and consumers. Powered by Simply NUC.

  1. MAY 7

    Why Edge AI Can't Wait: The Race to Deploy Intelligence Outside the Cloud

    What happens when the cloud can't reach you? In Episode 13 of the Edge Tech Podcast, we sit down with Said Ouissal, CEO and Founder of ZEDEDA, to explore why edge AI computing is no longer a future concept. It's already running in car washes, on container ships, at airport security checkpoints, and inside oil fields. Said shares how ZEDEDA identified the convergence of cloud-native development and the hard limits of cloud connectivity nearly a decade ago, and built an orchestration platform that brings cloud simplicity to edge deployments at scale, without compromising on security or performance. We go deep on:   Why AI at the edge is outpacing data center AI for real-world industrial and enterprise use cases The security risks nobody talks about including physical hardware theft, AI model theft, and prompt injection at the edge ZEDEDA's new Edge Intelligence Platform (EIP) and how it simplifies AI inference deployment across up to 1,000 edge nodes with zero manual optimization Real deployments across retail, industrial, and critical infrastructure, including Sonny's Car Washes, Maersk, and Volkswagen Said's bold prediction: within 12 to 24 months, most new applications won't be traditionally written software. They'll be AI agents   Whether you're managing edge infrastructure across a manufacturing floor, a federal network, or hundreds of QSR locations, this episode is essential listening.

    30 min

  2. APR 22

    Ditch Legacy Cloud: Orchestrate Edge AI Instead

    Legacy cloud wasn't built for the edge and AI is exposing that gap fast. In this episode, David Kosloski sits down with Padraig Stapleton from ZEDEDA to make the case for ditching legacy cloud architecture and replacing it with purpose-built edge AI orchestration because when decisions need to happen in milliseconds, sending data back to a data center is no longer an option. From manufacturing floors to energy sites, enterprises are moving beyond experimentation. But most edge computing projects fail before they ever reach production. Padraig breaks down the real reasons why security gaps, operational complexity, and the painful truth about building in-house vs. deploying enterprise-grade platforms.   In this episode, we cover: Why AI infrastructure at the edge requires cloud-like orchestration and why most teams underestimate that The rise of agentic AI and small language models powering real-time autonomous decision-making How edge AI is showing up right now in quality inspection, safety monitoring, and autonomous systems The security non-negotiables that every edge deployment must clear What it actually takes to scale from a 10-device pilot to thousands of distributed endpoints Why AI will eventually become invisible and what that means for the businesses deploying it today Whether you're an engineer evaluating edge AI platforms, an enterprise architect navigating AI infrastructure decisions, or just tracking where the industry is heading — this conversation is one you don't want to miss. 🔗 Learn more about Edge AI: SNUC.com ⏱ Chapters: 0:00 AI shift from cloud to edge 1:05 Intro + guest background 3:10 Why edge orchestration matters 4:20 Edge vs data center challenges 5:40 Why edge projects fail at scale 7:00 Security and enterprise barriers 9:00 Build vs buy at the edge 12:15 Agentic AI and future architectures 14:00 Real-world AI use cases 15:30 AI in the physical world (robots, drones) 16:30 The future of invisible AI 18:00 Innovation and closing thoughts

    21 min

  3. MAR 25

    The Future of Edge Infrastructure: Fast Kubernetes Deployments Explained

    In Episode 11 of the Edge Tech Podcast, host David Kosloski sits down with Brian Durden, VP of Solutions Engineering & Strategic Initiatives at Rancher Government Solutions, to discuss why speed and sustainability are becoming critical for Kubernetes deployments at the edge. As hardware becomes more powerful and software more efficient, organizations can now deploy complex mission applications directly at the edge without relying on constant cloud connectivity. But speed isn't just about performance — it's about how quickly platforms can be built, deployed, and maintained in real-world environments. In this conversation, we explore: Why Kubernetes has become so dominant in edge infrastructure The three types of speed that matter for edge deployments: build, deploy, and runtime performance Why sustainable edge platforms are critical for government and mission-critical environments How automation and standardization reduce operational complexity The role of compact edge hardware in enabling distributed deployments Brian also shares insights from years of experience building platforms across VMware, Pivotal, and Rancher Government, including how organizations are rethinking infrastructure to support distributed, disconnected, and low-bandwidth environments. If you're building edge platforms, distributed infrastructure, or Kubernetes environments, this episode dives deep into the real-world challenges and opportunities shaping the future of edge computing.

    40 min

  4. FEB 17

    Addressing Compliance Bottlenecks in Defense AI: The ATO-in-a-Box Approach

    Mission-ready edge computing isn't the same as "traditional" edge. In this episode of the Edge Tech Podcast, host David Kosloski sits down with Tommy Scherer (Principal Architect) and Mark Perry (Director of Public Sector Growth) at Spectro Cloud to break down what makes tactical edge different—running mission apps in contested, disconnected environments with security and compliance built in from day zero. We cover: What "tactical edge" really means (hint: secure by default) Zero Trust, encryption, and operating as if the network is already compromised Why mission workloads (ISR, secure messaging, computer vision) need edge platforms that can deploy fast and evolve continuously How ATO and continuous ATO help accelerate fielding new capability Why the future is about portable compute + hardened stacks that look and operate like the data center If you're building for defense, federal, or regulated environments, this one's for you.

    43 min
  5. Streaming "Impossible" Video: Solving Cellular Limits at the Edge

    12/18/2025

    Streaming "Impossible" Video: Solving Cellular Limits at the Edge

    How do you stream reliable, real-time video when the network is congested, unstable, or barely there? In this episode of the Edge Tech Podcast, David Kosloski sits down with Clive Sawkins (COO) and Dale Hall (Head of Product Engineering) from Digital Barriers to answer that exact question. We cover the mechanics of adaptive video codecs and explore how moving away from dedicated hardware is redefining video surveillance and situational awareness. From congested festivals like Glastonbury to remote border security, we discuss how to maintain mission-critical connectivity anywhere. 🚀 Key Topics Covered: The Bandwidth Bottleneck: Why traditional cellular video fails when you need it most. Intelligent Compression: How Digital Barriers' codec mimics human perception to save data. The Invisible Edge: Why the best edge ai technology works without you noticing it. Beyond Security: Using video as a data sensor for agriculture, telemedicine, and autonomous systems. ⏱️ Timestamps: 00:00 - Start 01:02 - Podcast Intro: Welcome & Guest Introductions 01:21 - Video Over Cellular: The struggle with LTE and 5G 01:34 - Bandwidth Challenges: Uplink limits & constraints 03:03 - Digital Barriers Tech: Adaptive video compression 04:25 - AI vs Machine Learning: Intelligent video delivery 05:24 - What Is the Edge? Defining edge computing today 06:28 - Border Security Use Case: Surveillance as infrastructure 07:10 - Advanced Camera Support: Thermal, Night Vision, PTZ 07:46 - Rapid Deployments: Mobile & Emergency setups 08:12 - Festival Case Study: Reliable video in crowds 08:53 - Why Phones Fail: Consumer vs. Mission Critical 09:46 - Network Redundancy: Cellular + Satellite 11:07 - Video as a Sensor: AI Analytics 12:12 - Software-Only Model: Deployment flexibility 13:39 - Hardware Independence: Freedom at the edge 14:02 - Video as Data: Driving AI insights 15:08 - Event-Based Streaming: Triggered video 15:36 - Sensors & Power Efficiency: Low-power design 17:03 - Industry Applications: Security & Utilities 18:23 - Unexpected Use Cases: Innovation 19:02 - Extreme Environments: Harsh conditions 20:08 - Invisible Edge Tech: When it just works 21:27 - Closing Thoughts

    22 min
  6. Edge-Ready Kubernetes: Scaling Apps Where They Matter Most

    11/10/2025

    Edge-Ready Kubernetes: Scaling Apps Where They Matter Most

    Kubernetes at the edge is no longer a future trend, it's happening now, and at a massive scale. In this episode of the Edge Tech Podcast, host David Kosloski is joined by Ant Newman and Pedro Oliveira from Spectro Cloud to explore how edge computing is transforming operations across industries like manufacturing, healthcare, QSR, and defense. They unpack: - Why Kubernetes is ideal for edge environments - The challenges of deploying and scaling AI at the edge - What 50% edge Kubernetes adoption tells us about industry shifts - Real-world use cases, from drones and submarines to 100K+ retail stores. - Hardware considerations, air-gapped environments, and connectivity hurdles - Whether you're an architect, operator, or innovator, this episode helps you understand the operational realities of modern edge infrastructure and how to prepare for them. ⏱️ Chapters: 00:00 - Intro & Guest Welcome 00:28 - What is Kubernetes in simple terms? 01:46 - Why microservices and containers matter 03:14 - Kubernetes: Deploying anywhere—from cloud to car trunk 04:08 - Why Kubernetes is dominating open source 05:22 - The edge opportunity: Why Kubernetes fits 07:05 - Benefits of Kubernetes at the edge: Resilience & Scale 08:18 - How hardware choices impact edge Kubernetes 10:13 - ARM vs. x86: The new challenge for ops 11:00 - Key insights from the "State of Production Kubernetes" 12:12 - AI at the edge: Why location matters 13:03 - Industries adopting edge: Retail, healthcare, defense & more 15:21 - The rise of tactical edge compute 16:10 - Kubernetes is driving AI deployment at scale 16:32 - Why edge is harder than cloud—at massive scale 18:16 - Real-world challenges: Security, scale, and cost 20:00 - Connectivity & bandwidth limitations 22:00 - Air gapped clusters & autonomous operations 23:00 - Automating edge operations: YAML, upgrades, and beyond 24:10 - Final thoughts: Scaling without breaking ops

    37 min
  7. How a 100-Year-Old Foundry Uses Edge Computing to Drive the Future of Manufacturing

    08/20/2025

    How a 100-Year-Old Foundry Uses Edge Computing to Drive the Future of Manufacturing

    In this episode of the Edge Tech Podcast, David Kosloski sits down with Shane Rogers, IT Director at Harrison Steel, to explore how a 100-year-old steel foundry in Attica, Indiana is redefining manufacturing using modern edge computing, data collection and AI vision. From collecting PLC sensor data across an 800,000 sq ft facility to leveraging edge devices for quality control, cost analysis, and even labor efficiency, Harrison Steel is proving that "old school" doesn't mean outdated.   Shane also shares insights on: How extreme factory environments challenge standard equipment The transition from business intelligence to AI-powered automation Why edge computing is critical to their safety and innovation roadmap   ▶️ Watch till the end to hear Shane's vision for ruggedized edge tech and why automation isn't about replacing humans, it's about empowering them.   Chapters:   00:00 - Intro & David Loses His Voice 01:00 - What Harrison Steel Does 02:00 - From Hand-Made to High-Tech 03:00 - How Edge Devices Power Data Collection 04:20 - Using Data for Quality Control & Cost Analysis 06:10 - Safety, Labor Metrics & Automation 07:30 - Challenges of Heat, Dust, and Equipment Failures 08:45 - AI, Vision Systems & Human-in-the-Loop Workflows 10:00 - Custom Building Edge Infrastructure In-House 11:00 - Final Thoughts & Visit Plans   👉 Learn more about real-world edge deployment at https://SNUC.com

    10 min
  8. How Edge Computing Powers 311 Retail Stores Across the Country

    06/16/2025

    How Edge Computing Powers 311 Retail Stores Across the Country

    In this episode of the EdgeTech Podcast, David Kosloski talks with Jesse Wolcott, Assistant Director of IT at Royal Farms, about how their team uses edge computing to keep 311 convenience stores running even when the internet goes down.   Jesse shares how localized servers, real-time automation, and AI-enhanced systems are driving smarter operations and improving customer experience across their retail footprint.   Key Topics Covered: Jesse's role at Royal Farms Why edge computing is critical in retail Surviving internet outages with localized servers Using AI for sandwich counting and customer call sentiment Edge devices powering pumps, screens, and kiosks Automation, stability, and real-time control The future of retail infrastructure at the edge   Are you in IT, retail operations, or emerging tech? This episode is packed with practical insight on deploying scalable, resilient infrastructure with edge computing.     Learn more about Simply NUC: simplynuc.com   Follow Simply NUC on Social Media for the latest updates: Twitter: @simplynuc Instagram: @simplynuc LinkedIn: @simplynuc Facebook: @simplynuc TikTok: @simply.nuc

    25 min
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About

A podcast all about technology, specifically edge computing for businesses and consumers. Powered by Simply NUC.

Information

  • Creator
    Simply NUC
  • Years Active
    2024 - 2026
  • Episodes
    13
  • Rating
    Clean
  • Copyright
    © 2024
  • Show Website
    Edge Tech Podcast

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