MoXin Establishes Sparse Computing Industry-Academia-Research Alliance to Break Through Industrialization Barriers via Ecosystem Synergy
Moonshot AI
MoXin Artificial Intelligence has officially established the 'MoXin Sparse Computing Industry-Academia-Research Alliance' to promote the industrialization of sparse computing. The alliance brings together universities, industry associations, and enterprises to collaboratively address challenges and support the next-generation AI computing power paradigm in China.
MoXin Artificial Intelligence recently announced the formation of the 'MoXin Sparse Computing Industry-Academia-Research Alliance'. This initiative marks a shift towards open collaboration and ecosystem co-building, aiming to deepen the integration of industry, academia, and research to facilitate the commercial adoption of sparse computing. The backdrop is the explosive growth of the AI Token economy, with daily token processing in China expected to surge from hundreds of billions in early 2024 to trillions by 2026, increasing over a thousandfold. This surge drives up demand for computing power and inference costs, shifting the industry from scale expansion to efficiency competition. Sparse computing is seen as a key path to improve efficiency and reduce total cost of ownership (TCO), though it faces challenges like high technical barriers and fragmented ecosystem. MoXin leverages its proprietary dual-sparse core technology and complete AI computing software-hardware solutions to address algorithmic, compilation, and chip architecture issues. The alliance outlines a roadmap based on a '6S technical architecture' focusing on energy efficiency breakthroughs, R&D transformation, and ecosystem empowerment. MoXin's CEO Wang Wei and alliance director Shi Jinyuan emphasize the importance of open collaboration. The alliance has already attracted institutions such as Tsinghua University, Fudan University, Xi'an Jiaotong University, Nankai University, Guangdong Semiconductor Industry Association, and industrial partners including BGI Group, China Mobile, Shanghai INESA, VeriSilicon, and ALPHA Technology. Joint research projects with universities have been initiated, and results are expected to be released gradually.
- Abbreviations
- TCO = Total Cost of Ownership — Совокупная стоимость владения
- API = Application Programming Interface — Программный интерфейс приложения
Source: QbitAI 量子位 —
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