Halo Microelectronics Strategic Partner Speed Microelectronics Unveils Thor Computing Architecture and Tianheng GPGPU

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Halo Microelectronics strategic partner Speed Microelectronics Technology recently unveiled the Thor Unified Computing Architecture, or TUCA, for next-generation AI and heterogeneous computing, along with the Tianheng 1100 GPGPU processor for AI scenarios such as embodied intelligence. Dr. Xiang Tian, founder and chairman of Speed Microelectronics, said the company will use its Tianjin headquarters as a new base to expand its national market presence and establish industry-academia-research partnerships with universities including Nankai University and Tianjin University. The TUCA architecture is a self-developed software-hardware co-designed computing architecture that integrates the company's own GPGPU, AI acceleration chips, and heterogeneous computing hardware, covering the critical computing chain from application development to hardware execution. At the launch event, Speed Microelectronics signed strategic cooperation agreements with DeepWise Technology and CIQTEK to leverage domestic GPU computing power to drive physical AI technology from foundational innovation to large-scale industrial application.

Impact on stocks 1

Others · 1 stocks
Halo Microelectronics Co. Ltd. A
688173
▲ PositiveTechnologyrelevance

Strategic partner Speed Microelectronics unveiled new computing architecture and GPGPU, which may benefit Halo Microelectronics through partnership.

Theme Impact 4

Off-coverage companies 3

速显微电子科技有限公司Private▲ Positive
Technologyrelevance

Speed Microelectronics unveiled Thor Unified Computing Architecture and Tianheng GPGPU, its own products.

国仪量子技术(合肥)股份有限公司Private▲ Positive
Demandrelevance

CIQTEK signed strategic cooperation agreement with Speed Microelectronics to leverage domestic GPU computing power for physical AI.

深度机智(北京)科技有限公司Private▲ Positive
Demandrelevance

DeepWise Technology signed strategic cooperation agreement with Speed Microelectronics to leverage domestic GPU computing power for physical AI.

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