拓斯达荣获openGauss年度标杆应用，用国产数据库驱动具身智能“进化”

Core Insights - The openGauss Summit 2025 successfully gathered top scholars, technical experts, industry users, and ecosystem partners to discuss the forefront of open-source database technology, ecological collaboration, and industry practices [1] Group 1: Awards and Recognition - The "2025 Annual openGauss Benchmark Application Practice" award was presented to the project "IntarkDB Embedded Database Industrial Robot Application Practice" by Tuosda and the National Innovation Center, recognized for its outstanding performance in application scale, demonstration value, and technological innovation [1] - The project is the only award-winning initiative among embodied intelligent robot companies in this evaluation [1] Group 2: Project Features and Innovations - The project serves as an important exploration in the intelligent evolution of industrial robots, providing reusable technical references for industry data infrastructure [2] - It meets the multi-modal data management needs of industrial robots, enabling efficient collaboration and supporting high-frequency data collection and high compression rates to optimize storage resources [2] - The project features an edge-side vector knowledge base to enhance AI inference efficiency and data interaction capabilities, along with a lightweight architecture design for quick integration, reducing system operation and governance costs [2] Group 3: Future Developments and Ecosystem - Tuosda plans to continue collaborating with the National Innovation Center to build a data foundation for embodied intelligence based on openGauss and IntarkDB, transforming industrial robots from traditional programming devices into intelligent entities with perception, decision-making, and execution capabilities [3] - The company is also working with industry-leading partners to create an open ecosystem, leveraging nearly 20 years of customer scenario accumulation to establish a commercial closed loop of "scenarios + robots + data + AI" [3] - This initiative aims to promote the sustainable evolution of the industry ecosystem and facilitate the large-scale implementation of embodied intelligence in real production environments, laying a solid technical and ecological foundation for flexible and adaptive production [3]