FUTURE MARKET PROSPECTS
Market demand surges
Due to the training and inference of large models requiring substantial computing power support, the related industries are currently experiencing a supply shortage and a high prosperity state. In addition to server manufacturers having full orders, the market is also paying attention to cloud and IDC companies actively purchasing GPU cards to provide intelligent computing power services to the market. Since the computing power shortage is not expected to be significantly relieved in the near future, the government is also actively promoting the construction of smart computing centers across various regions, and the heat in related fields is expected to continue.
Broad industry prospects
The AI computing power industry has broad development prospects in terms of technological innovation, data growth, industry integration, and application popularization. In the future development, trends such as deep learning, reinforcement learning, cloud computing power, the integration of edge computing with cloud computing, and intelligent applications will have a significant impact on AI computing power. Faced with these trends, the AI computing power industry needs to continuously research and develop new technologies, optimize algorithms, and improve efficiency to adapt to the constantly changing market demands and promote the industry's continuous development. The AI computing power industry has enormous potential for growth and a broad range of application prospects
FUTURE DEVELOPMENT STRATEGY
Vertical field technological innovation
We will continue to invest in R&D resources to improve our technology and services in the subfield of AI computing, making them more aligned with customer needs and enhancing the user experience. Providing customers with more advanced, timely, flexible, and efficient AI computing power cloud services is our key strategy.
Deepening partnerships
We will continue to establish and deepen partnerships, such as with hardware suppliers like NVIDIA and Moore Threads, ensuring that we can promptly obtain the latest computing board hardware.
Optimizing service models
We will continuously optimize our service models, including time-based rental models, pay-as-you-go cloud services, and technical support for specific fields, to better meet the business needs of our customers. We will also adjust our strategies based on market feedback and changes, responding flexibly to market shifts.
Cultivating a professional team
We will value talent recruitment and training, establishing a team that is technically proficient, highly efficient, and provides excellent service, in order to better serve our customers and promote the company's long-term development.
By implementing the above development strategies, we believe the company can continue to expand market share, increase revenue, and provide stable returns for investors.
In the future, as various industries extensively enter the stage of customized micro training and inference, the application scenarios for AI will be very diverse, making AI computing power cloud services an industry imperative. The company will leverage its strategic positioning in the field of AI cloud computing power to meet diverse customer demands for elastic computing resources, deliver highly customized AI cloud computing services and solutions, and establish itself as a leading hub for AI cloud computing technology in Canada and around the world