Image Credits:<\/strong> Deep Render<\/p>\n<\/div>\n

Besenbruch believes Deep Render is differentiated by its AI compression algorithm, which was trained on a dataset of over 10 million video sequences. The company used a combination of on-premise and cloud hardware for the training, with the former comprising over a hundred GPUs.<\/p>\n

Besenbruch claims the algorithm is up to five times \u201cbetter\u201d than HVEC, the industry standard codec (he didn\u2019t specify by what metric), and can run in real time across modern chipsets from Qualcomm, Apple and Nvidia. (For the uninitiated, a \u201ccodec\u201d is software, or in some cases hardware, that can encode and decode data \u2014 usually audio or video data.)<\/p>\n

\u201cIn the compression industry, there\u2019s a significant challenge of finding a new way forward and searching for new innovations,\u201d Besenbruch said. \u201cTraditional compression is not advancing sufficiently fast; it has only seen iterative progress for decades and has reached its peak \u2026 Deep Render is resetting the industry, benefiting its customers.\u201d<\/p>\n