This month, Dipu Technology and DaoCloud held a strategic signing ceremony for in-depth cooperation on cloud-native big data intelligence at Daoke headquarters. The two parties will focus on cloud native + big data + AI, upgrade key infrastructure through cloud native, combine the big data precipitation capabilities of enterprises to support development, and use AI large model capabilities to empower businesses, help enterprises accelerate digital and intelligent transformation, improve production efficiency, service quality and market competitiveness, and move towards industrial modernization. Zhao Jiehui, Chairman and CEO of Dipu Technology, and Chen Qiyan, Founder and CEO of DaoCloud Daoke, participated in the signing, and Feng Sen, President of Dipu FastData Product Line, Guo Feng, Co-founder and CTO of DaoCloud Daoke, Zhang Hongbing, Chief Operating Officer, and Ji Jingkai, General Manager of National Sales, attended the meeting.
The rise of AI models has brought unprecedented changes and opportunities to various industriesAfter training on massive data based on powerful computing resources, it can complete a large number of different downstream tasks, help enterprises realize the intelligent transformation and management of business processes, and drive business model innovation and overall efficiency upgrades. Among them, as the three cornerstones,The large-scale and efficient flow and application of algorithms, computing power, and data are crucial for enterprises. To achieve this goal, enterprises need to use advanced digital technologies such as AI, cloud native, and big data to upgrade and transform business processes, management models, and decision-making methods in an all-round way to improve their efficiency and competitiveness.
Based on this strategic signing, DaoCloud Daoke, as a leading cloud native enterprise in China, will carry out in-depth cooperation with Dipu Technology, a leading data intelligence infrastructure provider in the big data industry, to use the high-performance and scalable DaoCloud AI computing platform as the computing base to realize heterogeneous resource management, elastic scaling, dynamic scheduling, utilization optimization and AI development efficiency improvement, support the upper-layer Dipu Technology's real-time intelligent lakehouse platform FastData, and realize the low cost of multi-modal data, high-performance storage and computing, and jointly provide model training, tuning, deployment and inference services for the deepexi enterprise large model platform, and do a good job in computing power management and data preparationIt helps enterprises build vertical class models in different fields and the ability to corresponding intelligent applications, and realize the upgrade from data-driven to intelligence-driven. At present, the cloud-native big data intelligent solution of both parties has been successfully implemented in the manufacturing industry.
Chen Qiyan, founder and CEO of DaoCloud and ambassador of Cloud Native Computing, said: "In the era of large models, data has become the core and the first principle, and machines have become more able to understand and process data than humansThe core power that drives data and machines is computing power。However, the demand for dynamic and elastic expansion, flexibility, agility, consistency and refinement of computing resources for upper-layer applications, including large models, and the contradiction between the complex, heterogeneous, mixed, and planned hardware infrastructure at the bottom are becoming increasingly prominent, which is shackling the popularization and application of large models. The DAOcloud AI computing platform based on cloud-native innovative technology came into being, which is to make computing power more free and inject strong power into the data engine.
Zhao Jiehui, Chairman and CEO of Dipu Technology, said: "Dipu Technology takes 'Data+AI as its core strategy' and deeply cultivates the field of big data and large models, and has a deep understanding of this. With the application of big data and large models, the value of data in enterprises has been further released, which has been verified among the in-depth users of Dipu Technology. However, with the deepening of applications, the scale of large model parameters has increased correspondingly, and the computing resources required for the training process have also increased exponentially. Therefore,Dipu Technology accelerates the layout of the computing power field, and cooperates with mature computing platform providers such as DaoCloud to jointly build an end-to-end tool chain for enterprise large models, build large models into 'enterprise service agents', and connect various systems to achieve overall empowerment.
In 2023, large models will begin to emerge, leading the invisible transformation of the business environment, opening the door to innovative development and sustainable growth for enterprises. The "digital intelligence era" marked by technologies such as cloud native, big data and artificial intelligence has arrived. Facing 2024, in the world defined by "data + algorithm + computing power", DaoCloud will work side by side with Dipu Technology to consolidate key infrastructure, release the freedom of computing power, resolve the uncertainty of complex systems with the flow of intelligent data services, optimize the efficiency of resource allocation, and help enterprises gain sustainable competitive advantages in the era of digital intelligence.