Live video traffic is growing faster than any other video traffic type and China’s video operators are witnessing this first hand.
The volume of traffic shows no signs of slowing down and this is putting pressure on existing infrastructure and associated financial models that providers have relied on since live streaming’s inception.
The industry is desperate for a new approach that will enable lower bandwidth requirements, reduced infrastructure costs while simultaneously maintaining the agility that software has provided.
Field Programmable Gate Arrays or FPGAs can address these needs and have most recently gained popularity in leading Live Streaming applications. Hardware acceleration for live streaming is very attractive but companies has existing implementations and software that they cannot disrupt or change easily. During this talk Xilinx will highlight will outline how FPGAs can be used in existing applications and future requirements like Video + Machine Learning. We Xilinx has integrated with FFmpeg and engineers can utilize FPGAs in their existing networks without having to make significant changes to their software infrastructure. We will also demonstrate how Machine Learning can be integrated In to FFmpeg enabling acceleration all through command line interface.