市场份额No.1!商汤大装置位列中国原生AI云厂商榜首

Core Insights - The report by Frost & Sullivan and the Topology Research Institute highlights that SenseTime ranks fourth in the overall market share of China's full-stack AI cloud services and is the leading native AI cloud vendor [1] - The concept of "native AI cloud" is defined as a cloud computing service model specifically designed and optimized to support AI workloads, integrating AI technology deeply into every aspect of cloud services [1] Group 1: Market Position and Trends - SenseTime is recognized as a pioneer in the native AI cloud vendor category, having been deeply integrated with AI since its inception, evolving into a full-stack AI cloud provider [1] - The report categorizes full-stack AI cloud vendors into two types: those that fully integrate AI into their cloud computing services and those like SenseTime that have AI as a foundational element from the start [1] Group 2: Technological Advancements - The core advantage of native AI vendors lies in creating an end-to-end technology loop, from precise model tuning to performance enhancement at the inference layer, and infrastructure adaptation [2] - SenseTime's large-scale AI system integrates model capabilities with computational infrastructure, achieving breakthroughs in energy efficiency, computational efficiency, training, and development efficiency [2] Group 3: Future Directions - The emergence of Agentic AI is driving a paradigm shift in the AI field, redefining the value delivery of cloud services and enhancing enterprise productivity from "tool assistance" to "autonomous evolution" [2] - SenseTime's large-scale AI system provides comprehensive support for enterprises, covering the entire process from generation and validation to gradual deployment, exemplified by managing over a hundred agents autonomously in a major project [2] - The company aims to continue advancing technological innovation, industry implementation, and ecosystem collaboration, facilitating efficient adoption of intelligence across various sectors [2]