Voices of Video

Explore the inner workings of video technology with Voices of Video: Inside the Tech . This podcast gathers industry experts and innovators to examine every facet of video technology, from decoding and encoding processes to the latest advancements in hardware versus software processing and codecs. Alongside these technical insights, we dive into practical techniques, emerging trends, and industry-shaping facts that define the future of video. Ideal for engineers, developers, and tech enthusiasts, each episode offers hands-on advice and the in-depth knowledge you need to excel in today’s fast-evolving video landscape. Join us to master the tools, technologies, and trends driving the future of digital video.

Voices of Video is a technology podcast hosted by NETINT Technologies, with 76 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

NETINT Technologies hosts Voices of Video, a technology show with 76 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Episode #9

  The GPU You Want Is Gone. Now What? | How Zixi Builds Reliable Live IP Video from Ingest to OTT

  Aug 6, 202655 minS4

  When a major live event is only hours away, “we couldn’t get the GPU instance” is not an acceptable outcome. Cloud capacity constraints are forcing video teams to reconsider how they approach live transcoding, infrastructure availability, operational complexity, and the true cost of delivering IP video at scale. In this episode, we sit down with Tim Baldwin, VP of Product Management at Zixi , to explore how a company widely known for reliable video transport evolved into a complete live IP video platform. We start with Zixi’s roots in transporting broadcast-quality video over unmanaged networks. From there, we examine how Zen Master orchestration, observability, automation, and workflow management help teams operate large fleets of live streams without turning every deployment into a custom engineering project. Tim explains why protocol-agnostic architecture matters in real customer environments. Depending on who controls each endpoint, a workflow may involve the Zixi Protocol, SRT, RIST, RTP, RTMP, or several of them at once. Supporting that reality allows broadcasters, OTT providers, and technology partners to build around their existing infrastructure and business relationships. We also get practical about the operational demands of modern streaming workflows, including: • Normalizing hundreds of incoming streams • SCTE-35 conditioning and management • Market switching, regionalization, and blackout requirements • Dynamic pre-roll, mid-roll, and post-roll insertion • HTML overlays and graphics • Seamless switching controlled through APIs • Rapid deployment for temporary channels and live events Tim breaks down the competitive landscape, from internal DIY platforms to traditional broadcast vendors moving legacy products into software and cloud environments. Then we dig into one of the most urgent infrastructure challenges facing live video teams: transcoding capacity. What happens when the NVIDIA GPU instance your workflow depends on is unavailable in the required cloud region? Tim discusses Zixi’s journey from CPU and GPU transcoding to NETINT video processing units (VPUs), including how greater transcoding density can reduce instance counts, infrastructure overhead, and total cost of ownership. We also explore deployments on Akamai Connected Cloud and within Zixi as a Service, where fast onboarding and predictable capacity are critical. In this episode: • How Zixi evolved from a media server and transport protocol into a broader live video platform • How Zen Master simplifies orchestration, monitoring, and fleet management • Why protocol-agnostic workflows matter when partners require SRT, RIST, RTP, or RTMP • How broadcasters, OTT providers, and virtual MVPDs use the platform • Automation for dynamic advertising, graphics, switching, and lightweight production • The differences between purpose-built platforms, DIY systems, and legacy broadcast software • Why cloud GPU availability is influencing transcoding architecture • How NETINT VPUs increase density and reduce the number of required instances • Deployment options including licensed software, a SaaS control plane, and Zixi as a Service • Pricing models aligned with channels and events rather than protocol usage For teams evaluating live streaming architecture, the conversation offers a practical look at reliability, interoperability, cloud availability, automation, and the operational economics behind modern IP video. Explore Zixi’s live video platform and discover NETINT’s purpose-built video encoding solutions. Stay tuned for more in-depth insights on video technology, trends, and practical applications. Subscribe to Voices of Video: Inside the Tech for exclusive, hands-on knowledge from the experts. For more resources, visit Voices of Video .

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  Episode #8

  Why Security Systems Choke On Video And How VPUs Fix It

  Jul 30, 202644 minS4

  Your cameras might be "AI ready," but your security stack can still grind to a halt for a simple reason: video has to be decoded, resized, and converted before any AI model can use it. That invisible work is where many surveillance systems hit their limits, even when GPUs are already reserved for inference. In this episode, we sit down with Isaac Connor , longtime open source developer and one of the driving forces behind ZoneMinder , to explore how CCTV and video management systems have evolved over the past 15+ years. We discuss the architectures powering everything from small business NVRs to enterprise and government deployments, why so many systems still depend on scaling commodity CPUs, and what changes once AI enters the picture. We also dive into the codec reality of modern surveillance. H.264 remains manageable, HEVC raises the compute requirements, and AV1 can dramatically increase decoding costs, especially when analytics are added on top. Because much of the surveillance industry is built around FFmpeg, Isaac explains why adding VPU acceleration can feel like an engine transplant rather than a complete rebuild. We cover high-density video decoding, power and PCIe slot constraints, ONVIF interoperability, and how dedicated video processing can dramatically improve scalability while reducing infrastructure costs. If you're building or modernizing a VMS, NVR, or AI video analytics platform, this conversation offers practical insight into where today's bottlenecks really are and how to design systems that scale. Topics covered - ZoneMinder's origin story and the evolution of open source VMS - The three tiers of surveillance deployments, from home users to government-scale systems - Why cloud VMS costs often reflect inefficient video architectures - The hidden workload between video decode and AI inference - High-density decoding and why CPUs quickly become the bottleneck - H.264, HEVC, and AV1 in real-world surveillance deployments - Power, PCIe slots, and why compact VPUs change server design - How ONVIF simplifies camera discovery, capability negotiation, and PTZ control - Modernizing FFmpeg-based video pipelines without rewriting applications - Where dedicated video processing fits into the future of security analytics Learn more about NETINT : https://netint.com Learn more about ZoneMinder : https://zoneminder.com Interested in joining Voices of Video? If you're building innovative technology in video, streaming, AI, broadcasting, surveillance, or media infrastructure, we'd love to hear your story. Reach out and let's explore whether your work would make a great episode. Stay tuned for more in-depth insights on video technology, trends, and practical applications. Subscribe to Voices of Video: Inside the Tech for exclusive, hands-on knowledge from the experts. For more resources, visit Voices of Video .

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  Episode #7

  You Can Deploy VPU Encoding In Seconds Without Lock In

  Jul 23, 202647 minS4

  Spinning up high-performance video encoding should not require a weeks-long infrastructure project or a hyperscaler feature request. Mark Mahle , co-founder and CEO of NetActuate , joins Voices of Video to discuss a network-first approach to global infrastructure as a service, and why the “plumbing” of the internet still determines whether video workflows feel fast, flexible, and resilient. In this episode, we look at where NetActuate fits between public cloud, co-location, and private data centers, and why infrastructure choice is becoming a key driver for video teams. Cost matters, but so does the ability to run the right workload in the right location with the right hardware. That includes predictable capacity, low-latency connectivity, and specialized compute like NETINT VPUs . Mark explains how NetActuate’s global footprint and highly peered network support real-world services at scale, then we move into what this means for streaming, transcoding, and live event workflows. The episode also includes a hands-on demo: deploying a virtual machine with a NETINT VPU attached , selecting firmware, viewing accelerator details, and using observability signals across the deployment. We also look at managed Kubernetes nodes with VPUs for cloud-native video workflows. Then comes the “wait, what?” moment: controlling NETINT’s BitStreams media processing framework through an AI assistant using plain language. The demo shows Claude creating an adaptive bitrate ladder, applying overlays, and starting a DASH output that can be played immediately. If you are building video streaming infrastructure, evaluating VPUs for hardware-accelerated encoding, or trying to lower cloud spend without giving up speed, this episode is worth watching. In this episode: • Why network-first infrastructure matters for latency-sensitive video • How NetActuate fits between hyperscalers, co-location, and private data centers • Why teams want more flexibility, custom hardware access, and cost control • How NETINT VPUs can be deployed through NetActuate’s global platform • VM provisioning with an attached VPU • Firmware selection and accelerator visibility • Observability for VPU-powered deployments • Managed Kubernetes nodes with VPU access • Using an AI assistant to control BitStreams workflows in plain language • Creating ladders, overlays, and DASH output through natural language commands For cutting-edge video encoding solutions, visit NETINT at https://netint.com . Subscribe to Voices of Video for more hands-on conversations with the people building the next generation of video infrastructure. Stay tuned for more in-depth insights on video technology, trends, and practical applications. Subscribe to Voices of Video: Inside the Tech for exclusive, hands-on knowledge from the experts. For more resources, visit Voices of Video .

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  Episode #6

  The Encoder Got Faster While You Slept | How VPUs On Akamai Cloud Change The Cost And Scale Of Video Encoding

  Apr 9, 202633 minS4

  <p>Cloud video infrastructure is getting squeezed from both sides: audiences expect better quality and more formats like AV1, while finance teams are staring down cloud bills that don’t scale with reality.</p><p>We sit down with Sarah Walter from Akamai for a one-year check-in on VPU-accelerated instances powered by NETINT, and what stands out is how quickly the conversation has moved from pilots to production. Sarah shares what she’s seeing across customers, from hyperscalers expanding internationally to broadcasters and streaming platforms looking for a practical step between fully managed services and running everything on-prem.</p><p>We d...

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  Episode #5

  Swapping the Engine While It Runs | How Video Platforms Introduce Hardware Acceleration Without Breaking Production

  Apr 2, 202618 minS4

  <p>Swapping the engine while it runs sounds risky - and in production video systems, it is.</p><p>Hardware acceleration often gets positioned as “faster encoding,” but that’s not what makes engineering teams hesitate. The real challenge is introducing a new compute model without breaking workflows that already carry years of integrations, monitoring, and operational assumptions. As NAB approaches and the industry talks density and efficiency, the more important question is this: how do you evolve a platform without increasing fragility?</p><p>Leo Nieto from <b>NETINT</b> sits down with Dominique Vosters from <b>Scalstrm</b> to unp...

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