Socionext Allies With Advantech For Live Transcoding
Media Cloud technology will be integrated into Advantech’s VEGA 7000 Video Servers for live UHD cloud services
Socionext, maker of hardware HEVC encoding, and Advantech, creator of video acceleration solutions, have a strategic partnership to provide live hardware transcoding solutions for the data center supporting MPEG2, AVC (H.264), and HEVC (H.265).
Socionext real time dense transcode solution, also known as the Media Cloud, enables advanced HEVC compression technology and real-time transcoding capabilities for OTT applications.
Media Cloud technology will be integrated into Advantech’s VEGA 7000 Video Servers for live UHD cloud services.
“We are seeing an increasing need to lower the cost of ownership by media, telecom and internet companies that are seeking to address the ever-increasing mass consumption of streaming high-quality video,” said David Lin, VP of Video Solutions at Advantech. “Socionext, as our valued partner, is able to solve the power, density, and performance technical design requirements we are looking for in order for us to develop a cost-competitive, highly-efficient transcoding solution with adaptive bitrate (ABR) streaming capabilities for live cloud media service providers.”
The Advantech VEGA 7000 is a range of accelerated video processing servers. Up to four VEGA-3318 accelerators can be integrated into a 1U server to deliver up to 32 x 4Kp60 live HEVC profiles per rack unit – the highest density available in the market it is claimed.
“This allows for large scale, energy and cost-efficient data center deployments that benefit from a 20X rack space and power reduction when compared to non-accelerated solutions,” says Lin.
“Advantech offers decades of expertise in complex hardware and software system integration and design services,” said Yasuhiro Wakimoto, VP of the Enterprise Solution Business Unit at Socionext. “Socionext and Advantech have a long history together providing solutions for “Live” transcode broadcasting and processing large volume of media data for video systems."
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