Tsing Micro

Tsing Micro, formally Beijing Tsing Micro Intelligent Technology Co., Ltd., is a semiconductor company established in July 2018, specializing in the design of energy-efficient, reconfigurable computing chips. The company's technological foundation stems from the reconfigurable computing team at Tsinghua University's Institute of Microelectronics, which began its research in 2006 under the leadership of Professor Wei Shaojun. This core technology, known as Coarse-Grained Reconfigurable Architecture (CGRA), allows the chip's hardware to be dynamically configured by software, offering a blend of the flexibility found in general-purpose processors and the high efficiency of specialized circuits.

The company was founded by a team with deep roots in both academia and industry. Wang Bo, the founder and CEO, previously served as a CTO for a publicly listed company and has extensive experience in managing and scaling technology businesses. The chief scientist, Yin Shouyi, is also the deputy director of the Institute of Microelectronics at Tsinghua University and was a leader of the Thinker chip team. This combination of commercial and research expertise underpins the company's strategy. The founding team also includes experts from prominent companies such as NVIDIA, Apple, and AMD. Tsing Micro's journey began after its incubation at Tsinghua University, securing nearly 100 million RMB in an angel funding round in the third quarter of 2018 from investors including Baidu and Focus Media.

Tsing Micro develops and sells artificial intelligence chips and system-level solutions designed for a wide array of applications from the edge to the cloud. Its business model centers on providing these high-performance, low-power consumption AI chips to manufacturers and solution providers. The company serves clients across various sectors including smart security, financial payment, intelligent wearables, smart home, robotics, industrial automation, and data centers. Revenue is generated through the sale of its chip products and integrated solutions, which often include the necessary algorithms and software to facilitate adoption by customers. The company has established partnerships with hundreds of manufacturers and solution providers for the distribution and application of its technology.

The company's product portfolio is built on its core CGRA technology, which addresses the growing demand for computational power in AI without the prohibitive energy costs associated with traditional architectures. Tsing Micro has launched several chip series. The TX2 series is designed for low-power applications like smart wearables and voice-controlled devices. The TX5 series, including the multi-modal AI chip TX510, targets more complex edge computing tasks such as image processing, 3D sensing, and object recognition. More recently, the company developed the TX8 series for cloud-based services and data centers, aimed at handling the intensive parallel computing required for large-scale AI models. These chips are designed to be programmable and adaptable to various AI algorithms, a key differentiator in a market with rapidly evolving standards. The company collaborates with manufacturing partners like TSMC to ensure production capacity.

Keywords: reconfigurable computing, CGRA, AI chips, fabless semiconductor, edge computing, cloud computing, low-power AI, intelligent voice processing, computer vision, data center acceleration, smart security, IoT devices, ASIC, system-on-chip (SoC), neural network processing, artificial intelligence hardware, Tsinghua University, energy-efficient computing, financial technology, industrial automation, robotics