Anevia, Intel team to reduce OTT video encoding cost | Infrastructure | News | Rapid TV News
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OTT and IPTV software solutions provider Anevia has announced a technical collaboration with Intel in order to enable it to optimise the performance of its video encoders, reducing the cost of encoding for OTT service providers.

Anevia NEA CDN 5July2019Anevia says that thanks to Intel's latest technology using a new instruction set developed for artificial intelligence called Vector Neural Network Instructions (VNNI), the Anevia software-based Genova encoder can now enable 20% more channels at the same CPU frequency - meaning OTT service providers can offer more services at the same cost

The Linux-based multi-bitrate video encoder typically sees use in live streaming and video-on-demand applications, offering up to 4K Ultra HD definition with high dynamic range. The end-to-end offering also includes what is said to be ultra-low latency packaging, origin servers, cloud DVR and a CDN solution for telcos and service providers to implement an OTT TV service.

“Encoder design must constantly be optimised in order to achieve the highest possible transmission efficiency without compromising quality," noted Anevia's EVP for compression products, Jérôme Blanc. “Anevia is one of the earliest video and audio encoding companies to participate in Intel's early access programmes. This collaboration gave us the processing resources needed to advance this optimisation to a new level, ultimately enabling TV operators to offer some 20 per cent more services without increasing costs.”

“Multichannel video delivery with scalable coding efficiency requires significant compute and skill to implement for cloud-native services,” added Lynn Comp, vice president and general manager of the visual cloud division at Intel. “Anevia's innovative use of Intel Deep Learning Boost on second-generation Intel Xeon Scalable processors to improve their encoding solutions promises greater revenue potential for service providers with increased stream density.”

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