SAN JOSE, Calif., July 5, 2017 /PRNewswire/ — Xilinx, Inc. (XLNX) today announced that Baidu has deployed Xilinx FPGA-based application acceleration services in their public cloud. The Baidu FPGA Cloud Server, a new service in Baidu Cloud, features highly efficient Xilinx® Kintex® FPGAs, tools, and the software needed to develop and deploy hardware-accelerated data center applications such as machine learning and data security.
“FPGAs have the capability to deliver significant performance for deep learning inference, security, and other high growth data center applications,” said Liu Yang, Head of Baidu Technical Infrastructure, Co-General Manager of Baidu Cloud. “Years of research and FPGA engineering expertise at Baidu has culminated in our delivery of proven acceleration infrastructure for industry and academia.”
The Baidu FPGA Cloud Server provides a complete FPGA-based hardware and software development environment, including numerous hardware and software design examples to help users achieve rapid development and migration while reducing development costs. Each FPGA instance is a dedicated acceleration platform, never shared between instances or users. The design examples cover deep learning acceleration, encryption and decryption, among others. Visit https://cloud.baidu.com/product/fpga.html to access the Baidu FPGA Cloud Server.
About Xilinx FPGAs in the Data Center
Xilinx FPGA-enabled servers provide a 10x-80x performance/watt advantage compared to CPU-only servers. Because they are dynamically reconfigurable, Xilinx FPGAs can support a wide range of workloads, including machine learning, data analytics, security, and video processing. Learn more about Xilinx data center acceleration at www.xilinx.com/accelerationstack.
Xilinx is the leading provider of All Programmable semiconductor products, including FPGAs, SoCs, MPSoCs, RFSoCs, and 3D ICs. Xilinx uniquely enables applications that are both software defined and hardware optimized – powering industry advancements in Cloud Computing, 5G Wireless, Embedded Vision, and Industrial IoT. For more information, visit www.xilinx.com.