ArterisIP Drives Artificial Intelligence & Machine Learning Innovation for 15 Chip Companies

“Machine learning has become the ‘killer app’ for our advanced interconnect IP, with a perfect match between the QoS, power consumption and performance required by AI and what the FlexNoC and Ncore interconnects deliver,” said K. Charles Janac, President and CEO of ArterisIP.

ArterisIP, the innovative supplier of silicon-proven commercial system-on-chip (SoC) interconnect IP, today announced that in the past two years, 15 companies have licensed ArterisIP’s FlexNoC Interconnect or Ncore Cache Coherent Interconnect IP as critical components in new artificial intelligence (AI) and machine learning SoCs.

These nine (9) publicly-announced ArterisIP customers have created or are developing machine learning and AI SoCs for data center, automotive, consumer and mobile applications:

1.    Movidius (Intel) – Myriad™ ultra-low power machine learning vision processing units (VPU)

2.    Mobileye (Intel) – Since 2010; EyeQ®3, EyeQ®4 and EyeQ®5 advanced driver assistance systems (ADAS) using multiple heterogeneous processing elements for vision processing and machine learning

3.    NXP – Multiple ADAS and autonomous driving SoCs implementing machine learning, based on cache coherency and functional safety mechanisms

4.    Toshiba – Automotive ADAS SoC using cache coherence and functional safety mechanisms

5.    HiSilicon (Huawei) – Since 2013; new Kirin 970 Mobile AI Processor with Neural Processing Unit (NPU)

6.    Cambricon – Neural network processor with multiple processing elements

7.    Dream Chip Technologies – ADAS image sensor processor with multiple digital signal processor (DSP) and single instruction multiple data (SIMD) hardware accelerators

8.    Nextchip – Vision ADAS SoC with multiple processing elements

9.    Intellifusion – Machine learning visual intelligence with multiple heterogeneous on-chip hardware engines

In addition to the nine publicly-announced customers listed above, the following six (6) companies are also using ArterisIP to implement new AI and machine learning hardware architectures:


  •     Two (2) major semiconductor and systems vendors targeting autonomous driving
  •     A major semiconductor vendor targeting consumer…

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