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The income has doubled for three consecutive years! How did this end-to-end AI chip enterprise do it?

The income has doubled for three consecutive years! How did this end-to-end AI chip enterprise do it?

The income has doubled for three consecutive years! How did this end-to-end AI chip enterprise do it?

In the era of AIoT, RISC-V meets the core needs of the development of AIoT industry. In the context of multi-scenario and fragmented applications, RISC-V is expected to become the most mainstream instruction set architecture for processor chip applications in the future.




As a cutting-edge enterprise of domestic end-to-end AI chips, Shiqing Technology is able to provide end-to-end devices with chip products and complete system-level solutions that support intelligent human-computer interaction and data processing through architecture innovation and customized chip design based on RISC-V and the actual needs of landing scenarios.




Recently, the reporter of the "Into the Industry Chain" column of the Star Star Star paid an exclusive interview to Yu Xin, the president of Shiqing Technology, to discuss the current development of Shiqing Technology enterprises and the prospects for the future development of the industry in the context of the rapid development of AI chips at the end of RISC-V architecture.




With the innovation of DSA architecture as the market breakthrough, end-to-end intelligent interaction and signal processing products have been delivered in batches




It is understood that Shiqing Technology, founded in 2018, is a professional provider of end-to-end smart chips and solutions. After years of development, the company has formed a number of chip products based on RISC-V instruction set architecture, and has achieved batch shipments in the fields of home appliances, home appliances, industrial control, industrial Internet of Things, etc., with a current revenue scale of nearly 100 million yuan.




Unlike most enterprises in the industry, TimeEngine Technology has developed the intelligent processor TimesFormer of DSA (domain specific architecture) based on RISC-V instruction set architecture, and launched the end-to-end smart chip series as the core of computing and processing.








Due to the requirement of end-to-end intelligent processing, which requires certain performance and has strong restrictions on cost and power consumption, in order to solve these problems, we need to customize the processor for the application through DSA, so that we can obtain stronger processing performance and better application matching within the limited range of cost and power consumption.




Yu Xin explained that, based on the above considerations, TimesFormer intelligent processor built by TimeEngine Technology has different computing power configurations for different scenarios, and has the characteristics of high energy efficiency, high cost performance, easy to use, flexible and scalable, which can be widely used in all kinds of end-to-end AI chips.




Based on the founding team's more than 20 years of research and development and the experience of hundreds of millions of chips in mass production, facing the huge edge market opportunities, Shiqing Technology chose the voice and visual interaction AI chips that are the most urgent for market upgrading and the easiest to land as the entry point, and soon won a place in the market.




In terms of voice, Shiqing Technology has successively launched AT1000 series, AT820 and other products, which can be applied in smart home, smart home appliances, pan-security and other different segments.




As the company's main product at the current stage, the AT1000 series end-side smart chip is an intelligent processing chip with high integration and energy-efficiency ratio. It is equipped with the self-developed RISC-V master TM500, with a main frequency of up to 300MHz, and can provide 100G high-efficient AI computing power. The dedicated high-performance voice subsystem can support up to 4+2 analog/digital microphone input and stereo/power amplifier output, which can meet all kinds of voice processing requirements based on microphone arrays.

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