Recently, the first Artificial Intelligence Challenge of the Innovation Nanshan 2024 "Entrepreneurship Star" Competition concluded successfully. MatrixOrigin (Shenzhen) Information Technology Co., Ltd. won third prize in the enterprise group with its project, "MatrixOS: An Intelligent Operating System Connecting Compute Power, Data, and AI-Native Applications."
During the final roadshow, Zhao Chenyang, Director of AI Platform R&D at MatrixOrigin, presented the design concept, technical innovation highlights, team capabilities, and commercial potential of MatrixOS to the judges and audience, earning strong recognition from the panel.
At present, China is directly facing a "Chinese-style challenge" in the development of the artificial intelligence industry. China's AI industry shows an "inverted triangle" structure: the infrastructure layer, including the scale and quality of data as well as the scale and performance of compute power, constrains the rapid development of the model layer and application layer.
To address these issues and follow the industry trend of the "first year" of AI, MatrixOrigin has fully embraced and invested in the research and development of large model technologies. The company continues to improve its AI technology foundation and has expanded its business from the HSTAP database to AI infrastructure and AI platforms. Building on its existing product MatrixOne, a hyper-converged heterogeneous multimodal database, MatrixOrigin released an upgraded product project: MatrixOS, an intelligent operating system that connects compute power, data, and AI-Native applications. This project is an AI-native operating system that is minimalist, unified, open-source, and open. It consists of three parts: MatrixOne, a hyper-converged multimodal data management platform; MatrixGenesis, an AI Agent application development platform; and MatrixDC, a heterogeneous compute power management and scheduling platform. The project aims to connect resources across domains, provide an end-to-end service framework, and thoroughly address enterprise challenges in AI compute power, connectivity, and cost control.
Innovation Nanshan 2024 "Entrepreneurship Star" Competition
Guided by the China Association for Science and Technology and the Shenzhen Municipal People's Government, this competition is the Nanshan District preliminary round of the 16th China Shenzhen Innovation & Entrepreneurship Competition (the "Shenzhen Innovation & Entrepreneurship Competition") and the Nanshan sub-venue of the "Innovation China" Innovation & Entrepreneurship Investment Conference (2024). It is hosted by the Nanshan District People's Government of Shenzhen, the Shenzhen Science, Technology and Innovation Bureau, and the Shenzhen Association for Science and Technology. With the theme "Stars Shine in Nanshan, Intelligence Leads the Future," this year's competition targets the whole country and reaches across the globe, encouraging startup teams and growing enterprises with innovation potential, both in China and abroad, to participate.
The First Artificial Intelligence Challenge
The Artificial Intelligence Challenge is a newly established exclusive Nanshan District track of this year's Shenzhen Innovation & Entrepreneurship Competition. It aims to attract outstanding enterprise teams and interdisciplinary talent through competition, gather resources from all parties to build a high-quality interactive platform, support Shenzhen in becoming an "AI+" industry hub, and contribute to the creation of a global pioneer city for artificial intelligence. It also marks an important starting point for the development of new quality productive forces.
The competition brought together technology giants such as Amazon Web Services, Google Cloud, NVIDIA, and Alibaba Cloud; leading research institutions such as the United Nations University Institute in Macau; social organizations such as the Shenzhen Artificial Intelligence Industry Association; and enterprise leaders, technical experts, and national-level scholars, raising the technical standard and innovation capability of the event.