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Arteris FlexNoC Interconnect IP Licensed by Enflame (Suiyuan) Technology for Multiple Artificial Intelligence (AI) ChipsCAMPBELL, Calif. -- October 09, 2018 -- Arteris IP, the world’s leading supplier of silicon-proven commercial network-on-chip (NoC) interconnect intellectual property (IP), today announced that Enflame (Suiyuan) Technology has purchased multiple licenses of Arteris FlexNoC interconnect IP for use as the on-chip communications backbone of their artificial intelligence (AI) training chips for use in cloud datacenters. Enflame is a China-based startup that has received pre-Series A investment from Tencent Holdings. It is developing AI training systems-on-chip (SoC) that implement neural networks. These chips use multiple hardware accelerators to increase the speed and accuracy of neural network training while reducing data center power consumption. Enflame chose Arteris IP FlexNoC interconnect for their AI chips because it:
About Arteris IP Arteris IP provides network-on-chip (NoC) interconnect IP to accelerate system-on-chip (SoC) semiconductor assembly for a wide range of applications from automobiles to mobile phones, IoT, cameras, SSD controllers, and servers for customers such as Samsung, Huawei / HiSilicon, Mobileye, Altera (Intel), and Texas Instruments. Arteris IP products include the Ncore cache coherent and FlexNoC non-coherent interconnect IP, the CodaCache standalone last level cache, as well as optional Resilience Package (ISO 26262 functional safety) and PIANO automated timing closure capabilities. Customer results obtained by using the Arteris IP product line include lower power, higher performance, more efficient design reuse and faster SoC development, leading to lower development and production costs. For more information, visit http://www.arteris.com or find us on LinkedIn at https://www.linkedin.com/company/arteris. About Enflame Enflame (Suiyuan) Technology is a China-based startup developing cloud-based deep learning chips for AI training platforms. Founded in March 2018, the company focuses on developing chips based on a self-developed unique architecture design to achieve high computational power and efficiency with low cost for deployment in major machine learning frameworks. The company has two research and development centers in Beijing and Shanghai.
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