L2Tek announces partnership with NETINT Technologies
This strategic partnership represents a significant addition to L2Tek's product range by adding an innovative high-density, low power, ASIC based transcoding solution to the portfolio. L2Tek will have sales and marketing activities of NETINT Technologies’ products across both the UK and continental Europe.
About NETINT Technologies
NETINT Technologies is an innovator of computational storage and video processing SoC solutions. Its Codensity portfolio enables cloud data centers, edge computing companies, and content providers to deploy scalable high-performance applications, while minimizing their data storage and video processing costs. NETINT, founded by an experienced team of storage SoC veterans, is a Canadian venture-funded high-tech company with R&D facilities in Vancouver, Toronto and Shanghai, China.
NETINT’s Codensity™ video transcoding technology features real-time, high quality, scalable transcoding for live video streaming, which is enabled by harnessing the inherent advantages of ASIC-based encoding with the scalability of NVMe cloud storage infrastructure. Each Codensity Video Transcoder module features ASIC-based H.264 AVC and H.265HEVC video processing which enables high quality transcoding at up to 8K UHD resolution, at a lower price point compared to alternative transcoding architectures. Codensity Video Transcoder U.2 modules integrate with host serversas an NVMe-based device. This advanced architecture enables ultra-dense transcoding capacity within an NVMe server architecture.
“With the explosive growth of internet streaming video including OTT and SVOD services, new high-performance, ultra dense transcoding solutions are needed now more than ever,” said Mark Scott-South, Director of Sales at L2Tek. “NETINT’s Codensity Transcoders are packaged in a unique SSD form factor which enables simple integration into NVME server platforms. The performance, density and flexibility of NETINT’s Codensity solution will give our European clients the necessary tools to address their demanding encoding requirements into the foreseeable future.”