Xilinx Invests in Machine Learning Pioneer DeePhi Tech



Xilinx, Inc. has invested in DeePhi Tech, a leader in machine learning specializing in deep compression, compiling toolchain, and system-level optimization. Leveraging the architectural advantages of Xilinx devices for machine learning, DeePhi provides inference platforms from edge to cloud for the coming wave of AI products and services in the industry.

DeePhi Tech was founded by researchers from Tsinghua University and Stanford University known for their pioneering research in machine learning and numerous papers published at top AI conferences around the world. Members of the DeePhi Tech team recently received the Best Paper Award at FPGA2017 for breakthrough results with a highly efficient FPGA-accelerated speech recognition engine achieving 43x the performance and 40x the performance per watt compared to a CPU; 3x the performance and 11x the performance per watt compared to a GPU.

“Xilinx FPGAs and MPSoCs provide the ideal combination of low latency and reconfigurability required for our inference solutions,” said Yao Song, CEO at DeePhi Tech.

“Empowered by Xilinx technology and expertise, DeePhi solutions provide breakthroughs in efficiency through techniques like network pruning, compression and use of reduced precision data types,” said Nazeem Noordeen, CVP of Acceleration and IP Solutions at Xilinx. “Our investment in DeePhi is further evidence of our commitment to provide our customers with industry-leading accelerated computing products.”

Contact Information

Xilinx

2100 Logic Drive
San Jose, CA, 95124
USA

tele: 408-559-7778
more_info@xilinx.com
www.xilinx.com

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