NEUCHIPS' Purpose-Built Accelerator Designed to Be Industry's Most Efficient Recommendation Inference Engine
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NEUCHIPS' Purpose-Built Accelerator Designed to Be Industry's Most Efficient Recommendation Inference Engine

LOS ALTOS, Calif., May 31, 2022 (GLOBE NEWSWIRE) -- NEUCHIPS is excited to announce its first ASIC, RecAccelTM N3000 using TSMC 7nm process, and specifically designed for accelerating deep learning recommendation models (DLRM). NEUCHIPS has partnered with industry leaders in Taiwan's semiconductor and cloud server ecosystem and plans to deliver its RecAccel™ N3000 AI inference platform on Dual M.2 modules for Open Compute Platform compliant servers as well as PCIe Gen 5 cards for standard data center servers during the 2H'2022.

"In 2019, when Facebook open sourced their Deep Learning Recommendation Model and challenged the industry to deliver a balanced AI inference chip platform, we decided to pursue the challenge," said Dr. Lin, NEUCHIPS CEO, Co-Founder of Global Unichip Corp, subsidiary of TSMC and Professor at National Tsing Hua University, Taiwan. "Our continued improvements in MLPerf DLRM benchmarking and whole-chip emulation give us confidence that our RecAccel™ AI hardware architecture co-designed with our software will scale to deliver industry leadership and exceed our target of 20M inferences per second at 20 Watts." 

NEUCHIPS RecAccel™ N3000 Inference platform includes sophisticated hardwired accelerators, patented query scheduling and a comprehensive software stack optimized to provide high accuracy and hardware utilization while maintaining energy efficiency required in data centers. Other key features include the following: 

About Neuchips: 

NEUCHIPS develops purpose-built AI inference chip platforms from the ground up, by co-developing hardware and software to meet our customer's requirements for performance, accuracy, power, and cost-efficiency. NEUCHIPS is a founding member of MLCommons™. For more information, please visit  https://www.neuchips.ai or contact contact@neuchips.ai 

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