On Demand, Scalable, Virtualized, Deep Learning

Data centers need to be workload optimized so they can rapidly adapt to changing throughput, latency, and power requirements from a wide range of virtualized on-demand software applications. These applications include machine learning, video transcoding, image and speech recognition, CloudRAN, and Big Data analytics, along with storage and networking acceleration and flexible, high performance connectivity.

Through workload optimization, Xilinx can enable servers to deliver 10X the throughput with one tenth the latency and power relative to CPU and GPU based alternatives. Applications are written in a mix of languages that include OpenCL, C, and C++. Only Xilinx provides a flexible, standards-based solution that combines software programmability, workload optimization, and high performance data center interconnect with the security needed for the next generation of cloud computing.

Xilinx's portfolio includes UltraScale™ technology that serves as a scalable reconfigurable acceleration platform that can be optimized on demand to any workload. Xilinx's software defined development environment, SDAccel™, enables customers to quickly develop their unique applications using any mix of OpenCL, C, and C++. SDAccel™ deploys a unique architecturally optimized compiler and partial reconfiguration technology that together offer the highest quality of results with a flexible runtime capability.