Presentation: Streaming Without Tradeoffs: Quality, Throughput, and Monetization in Real Time

Session details:

As streaming platforms push toward higher resolutions, larger audiences, and more dynamic monetization, the challenge is no longer just delivery—it’s processing video in real time without introducing latency. GPU-accelerated infrastructure is redefining what’s possible, enabling media companies to handle compute-intensive workloads like live transcoding, AI upscaling, and content-aware stream optimization while maintaining exceptional viewer experiences.

In this session, we will showcase how distributed, GPU-powered architectures are driving both performance and efficiency across modern streaming workflows. Through real-world examples with our partners Harmonic (live transcoding and AI upscaling) and Amagi (object detection and ad-break identification), we’ll explore how to improve video quality, increase throughput, and enable real-time ad insertion—unlocking new revenue opportunities without compromising speed or scale.

What you’ll learn:

• How GPU-powered workflows enable real-time transcoding, AI upscaling, and ad-break detection without adding latency
• Architectures for maximizing throughput and efficiency across live and on-demand streaming pipelines
• Strategies to integrate AI-driven monetization (like real-time ad insertion) directly into the stream while preserving QoE