400G ultra low latency 56/112G FEC and SERDES IP sub 10ns latency
Xilinx Invests in Machine Learning Pioneer DeePhi Tech
SAN JOSE, Calif., May 18, 2017 -- Xilinx, Inc. (XLNX) today announced that it has invested in DeePhi Tech, a recognized 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. "Xilinx's powerful platforms are already being used by DeePhi in commercial products from edge to cloud in smart surveillance and data center applications."
"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."
Xilinx investments for accelerated computing target solutions for applications such as machine learning, image and video processing, and storage and network acceleration. To learn more about DeePhi Tech, visit www.deephi.com.
About Xilinx
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.
|
Xilinx, Inc. Hot IP
Related News
- Xilinx Adds Advanced Machine Learning Capabilities for Pro AV and Broadcast Platforms
- Xilinx Announces the Acquisition of DeePhi Tech
- Xilinx Expands into Wide Range of Vision-Guided Machine Learning Applications with reVISION
- Xilinx FPGAs to be Deployed in New Amazon EC2 F1 Instances - Accelerating Genomics, Financial Analytics, Video Processing, Big Data, Security, and Machine Learning Inference
- Netspeed Raises $10M in Series C Funding Led by Intel Capital to Bring Machine learning to SoC design and architecture
Breaking News
- PUFsecurity Unveils Next-Gen Crypto Coprocessor PUFcc7 Featuring High-speed Performance and TLS 1.3 Support
- SEMIFIVE Starts Mass Production of its 14nm AI Inference SoC Platform based Product
- VeriSilicon's complete Bluetooth Low Energy IP solution is fully compliant with LE Audio specification
- TASKING and Andes Announce FuSa Compliant Compiler Support for Andes RISC-V ASIL Compliant Automotive IP
- Efabless Launches an "AI Wake Up Call" Open-Source Silicon Design Challenge
Most Popular
- Qualitas Semiconductor and Ambarella Sign Licensing Agreement
- ZeroPoint Technologies Signs Global Customer to Bring Hardware-Accelerated Compression to Hyperscale Data Centers
- Chiplet Interconnect Pioneer Eliyan Closes $60 Million Series B Funding Round, Co-led by Samsung Catalyst Fund and Tiger Global Management to Address Most Pressing Challenge in Development of Generative AI Chips
- Intel and Arm Team Up to Power Startups
- Alphawave Semi and InnoLight Collaborate to Demonstrate Low Latency Linear Pluggable Optics with PCIe 6.0® Subsystem Solution for High-Performance AI Infrastructure at OFC 2024
E-mail This Article | Printer-Friendly Page |