Core Insights - The collaboration between SenseTime and Huawei Ascend has achieved a significant technological adaptation, marking a substantial advancement in the domestic AI computing infrastructure [1][3] - The SenseCore platform, in conjunction with the Ascend 384 super node, has reached industry-leading levels in functionality and performance metrics, addressing efficiency bottlenecks in large-scale parallel computing [3][4] Technological Advancements - The optimized hardware architecture and software system collaboration have provided reliable computing support for the intelligent transformation of industries such as finance, healthcare, and manufacturing [3] - The adapted SenseCore platform supports dynamic computing resource allocation in multi-tenant environments, capable of handling thousands of AI training and inference tasks simultaneously, enhancing resource utilization while reducing latency and energy consumption [3] R&D Initiatives - A multi-dimensional joint R&D plan has been initiated, focusing on accelerating large model inference technology, improving inference efficiency by over 40% through algorithm optimization and hardware acceleration [3] - Development of a one-click deployment solution for intelligent models is underway, facilitating rapid migration across platforms and scenarios [3] Industry Impact - As the first AI computing platform to achieve full-stack adaptation with the Ascend 384 super node, SenseCore's technological openness has garnered high recognition within the industry [4] - The complete toolchain covering data preprocessing, model training, and deployment inference provides a standardized technical paradigm for the integration and development of the domestic AI ecosystem [4] - The adaptation not only validates the technological maturity of domestic computing architecture but also accelerates collaborative innovation across the industry chain, forming a complete ecological loop from hardware to software and algorithms to applications [4]
商汤与华为昇腾携手：国产AI算力适配突破，多行业智能化转型加速