Beamr Supercharges NVIDIA NVENC to Accelerate Content-Adaptive Video Encoding by 10X

Beamr Supercharges NVIDIA NVENC

By collaborating with Beamr, we made the NVENC API far more versatile, enabling it to run a number of passes and obtain unbounded high quality for Beamr’s CABR.

Beamr, the main developer of content-adaptive video encoding applied sciences, at this time introduced an built-in resolution that mixes Beamr’s CABR (Content Adaptive BitRate) price management with the NVIDIA NVENC {hardware} video encoder. The new resolution is 10x quicker for a similar encoding high quality, leading to fast related price financial savings when working Beamr CABR on NVIDIA GPUs within the Cloud. Using the built-in resolution, which is in superior levels of improvement, video suppliers can optimize video recordsdata and stay video streams in actual time, bettering the consumer expertise and decreasing storage and supply prices.

NVIDIA NVENC is a high-quality, high-performance {hardware} video encoder that’s constructed into most NVIDIA GPUs. NVENC offloads video encoding to {hardware}, and supplies excessive efficiency for functions corresponding to stay video encoding, cloud gaming and cloud storage. NVIDIA GPUs with NVENC can be found on all main cloud platforms, together with Amazon AWS, Microsoft Azure, Google Cloud, IBM Cloud, Oracle Cloud, Alibaba Cloud, Baidu Cloud and Tencent Cloud.

Beamr’s patented, Emmy® award-winning CABR engine allows decreasing the bitrate of video streams by up to 50% over the present cutting-edge encoders with out compromising perceptual high quality. The reduced-bitrate streams stay absolutely standards-compliant, and might be decoded by any commonplace video decoder. NVIDIA has added a frame-level utility programming interface, or API, which allows Beamr’s CABR to decide the optimum tradeoff between bitrate and high quality and considerably scale back the bitrate of video streams. Beamr has additionally refactored its CABR know-how to run on NVIDIA GPUs at ultra-fast efficiency, matching the efficiency of NVIDIA NVENC, enabling 10x extra price effectivity than software-based content-adaptive encoding.

“Beamr has been optimizing pictures and movies for the previous 10 years, leading to decreased storage and supply prices, and an improved consumer expertise for our prospects,” mentioned Sharon Carmel, Founder & CEO of Beamr. “The enhance in video high quality with the shift to 4K and 8K, and the rise within the quantity of video with functions corresponding to sensible cities, automotive and user-generated content material, require new ranges of video optimization efficiency, which can be found solely with {hardware} encoders. We chosen the NVIDIA NVENC {hardware} video encoder due to its prime quality and excessive efficiency, and are grateful to the NVIDIA workforce for working intently with us on adapting the NVENC APIs to allow frame-level entry to the video encoding engine.”

“NVENC has been adopted for all kinds of use instances from video modifying instruments to virtualization hypervisors, user-generated content material and cloud functions,” mentioned Andrew Page, director of superior applied sciences within the skilled visualization group at NVIDIA. “By collaborating with Beamr, we made the NVENC API far more versatile, enabling it to run a number of passes and obtain unbounded high quality for Beamr’s CABR.”

About Beamr

Beamr serves the world’s prime Pay TV and OTT video service suppliers because the main designer and developer of content-adaptive encoding and optimization options that allow prime quality, efficiency, and new ranges of bitrate effectivity. Backed by 51 granted patents, and winner of the 2021 Technology and Engineering Emmy® award and the 2021 Seagate Lyve Innovator of the Year award, Beamr’s perceptual optimization know-how allows up to a 50% discount in bitrate with assured high quality. Founded in 2009, Beamr maintains workplaces in Los Gatos, CA, Herzliya, Israel, and St. Petersburg, Russia. For extra data go to

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