深业云从人工智能产业投资基金设立，聚焦AI和具身智能相关产业

Core Viewpoint - CloudWalk Technology (688327.SH) has officially launched the "Shenyi Cloudwalk Artificial Intelligence Industry Investment Fund" in collaboration with Deep Industry Capital and Shenzhen Technology Park, with an initial scale of 300 million yuan [2] Group 1: Fund Overview - The fund will focus on AI infrastructure, industry intelligent applications, and embodied intelligence ecosystem cultivation, aiming to promote systematic and large-scale development of the next generation of the AI industry [2] - This fund marks CloudWalk Technology's first initiative in establishing an AI industry fund after years of deep engagement in the AI industry chain [2] Group 2: Strategic Collaborations - The fund's contributors are recognized for their unique resource advantages in their respective fields, serving not only as investors but also as "super scene providers" for technology implementation [3] - Deep Industry Capital focuses on biomedicine and high-end manufacturing, aiming to create a positive cycle through a "capital + industry" dual-drive model [3] - Shenzhen Technology Park is developing dedicated parks and incubators for AI applications, aiming to accelerate the cultivation of new productive forces [3] Group 3: Investment Focus - The fund will emphasize three main areas: empowering foundational capabilities, driving industry practices, and nurturing the embodied intelligence ecosystem [6][7] - Investments will target key AI infrastructure such as intelligent computing power and trusted data spaces, as well as accelerate the large-scale implementation of intelligent applications in urban governance, modern finance, and advanced manufacturing [6] Group 4: Long-term Vision - CloudWalk Technology aims to leverage its over ten years of experience in the AI industry to create a leading domestic AI corporate venture capital (CVC) [7] - The fund seeks to transform AI technology from "project-level applications" to deep integration within production processes, fostering replicable experiences in manufacturing intelligence transformation [5][7]