Is This the Future of Cloud Transcoding? VPU as a Service Model

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What if video teams could access the performance and efficiency of dedicated VPU hardware without building their own data center infrastructure or waiting for a hyperscaler to support specialized encoding hardware? In this episode of Voices of Video, Mark Donnigan talks with Mark Mahle, co-founder and CEO of NetActuate, about a practical version of VPU as a Service: deploying NETINT VPUs through NetActuate’s global infrastructure platform. The conversation shows how engineering and operations teams can access VPU-powered transcoding through virtual machines, managed Kubernetes, bare metal, or co-location, with the flexibility to choose locations, firmware, networking, and deployment models. For streaming platforms, video engineers, and infrastructure teams, the value is clear: lower cost per stream, faster deployment, more control than traditional public cloud, and the ability to scale video processing closer to users across global markets. The episode also includes a demo showing how NETINT VPU resources can be deployed and managed through NetActuate’s platform, and how AI assistants can create BitStreams transcoding workflows using natural language.

Video

Is This the Future of Cloud Transcoding? VPU as a Service Model

Discover how NetActuate is making VPU as a Service practical for cloud transcoding, giving video teams faster deployment and lower cost per stream.

Open the original page

What if video teams could access the performance and efficiency of dedicated VPU hardware without building their own data center infrastructure or waiting for a hyperscaler to support specialized encoding hardware? In this episode of Voices of Video, Mark Donnigan talks with Mark Mahle, co-founder and CEO of NetActuate, about a practical version of VPU as a Service: deploying NETINT VPUs through NetActuate’s global infrastructure platform. The conversation shows how engineering and operations teams can access VPU-powered transcoding through virtual machines, managed Kubernetes, bare metal, or co-location, with the flexibility to choose locations, firmware, networking, and deployment models. For streaming platforms, video engineers, and infrastructure teams, the value is clear: lower cost per stream, faster deployment, more control than traditional public cloud, and the ability to scale video processing closer to users across global markets. The episode also includes a demo showing how NETINT VPU resources can be deployed and managed through NetActuate’s platform, and how AI assistants can create BitStreams transcoding workflows using natural language.