AI-Powered Video Codecs: The Future of Compression with Deep Render CEO Chri Besenbruch

Описание: In this interview, Chri Besenbruch, CEO of Deep Render, talks with Jan Ozer from Streaming Learning Center about AI-based video codecs and how they compare to AV1, HEVC, and VP9.

Chri explains how Deep Render’s AI codec outperforms AV1 in compression efficiency while keeping encoding times reasonable and playback smooth on most devices with Neural Processing Units (NPUs)—which Apple has included in every iPhone since 2017. Unlike other AI-based codecs that require high-end GPUs for encoding and decoding, you can efficiently encode using Deep Render’s codec on any Mac with an M1 or newer processor. With Mac binaries available for testing, Chri expects deployments as early as 2026.

For streaming professionals, this conversation provides a realistic timeline for AI-based codec adoption, helping them gauge when to expect meaningful industry shifts. Chri also breaks down the practical trade-offs between AI and traditional codecs, addressing concerns about battery life, licensing, and real-world encoding performance—key factors for anyone working with video compression today.

00:00 – Introduction to AI codecs and Deep Render
00:40 – What is an end-to-end AI codec?
02:10 – Advantages of AI codecs over traditional codecs
05:20 – The growth of NPUs and future hardware trends
07:00 – Video quality comparisons with AV1, VP9, and HEVC
10:18 – Performance metrics: encoding, decoding, and battery impact
14:00 – How Deep Render’s codec compares to other AI codecs
16:35 – Expected timeline for AI codec deployment
18:00 – The future of AI codecs for human and machine applications
20:14 – Final thoughts and closing remarks