Nova 500系列NPU
Search documents
云天励飞:Nova 500 NPU与X6000加速卡推进国产算力应用
Ju Chao Zi Xun· 2025-12-10 14:26
Core Insights - The company, Yuntian Lifei, has been focusing on the research and commercialization of AI inference chips, being one of the early adopters of the NPU-driven AI inference chip concept [1][3] - The company has completed four generations of NPU product iterations and has established typical application demonstrations across multiple fields [1][3] NPU Development and Innovation - The company has accumulated numerous invention patents around the core architecture of NPU during its continuous iteration process and has participated in the standardization of the domestic neural network processor chip industry ecosystem [3] - The upcoming Nova 500 series will upgrade the self-developed GPNPU architecture, incorporating 3D stacked storage and soft-hard collaborative design to enhance computing power density, power consumption performance, and development friendliness [3] - The Nova 500 series NPU aims to meet multi-scenario inference needs while improving model deployment efficiency for large model inference and video analysis workloads [3] Product Launch and Market Strategy - The IPU-X6000 acceleration card is set to launch in 2024, targeting software companies, AI application enterprises, and internet firms for research and ecological adaptation [3] - The X6000 acceleration card has begun pilot testing in actual business scenarios, providing inference acceleration capabilities while optimizing drivers, compilers, and upper-layer applications [3] Strategic Partnerships and Future Plans - In November 2025, the company formed a strategic partnership with Kingdee Software to explore the integration of "domestic computing power engines + enterprise-level software ecosystems" [4] - The company believes that the integration of domestic AI chips in general computing power and industry scenarios will be crucial for driving digital transformation in enterprises [4] - Future R&D investments will focus on NPU architecture, board products, and software ecosystem collaboration, while expanding into broader industry application scenarios [4]