Build a high-efficiency, low-cost, and large-scale AI cloud infrastructure, create a professional deep learning platform and algorithm model system, lead AI innovation, and help the industry and the academia explore the boundaries of AI.
Designing and training industrial high performance AI models requires a lot of cost investment and deep technical precipitation, and the long tail problem can hardly train high performance AI models because of low frequency and low data volume.
With the penetration and application of AI technology, demands for large-scale and diversified AI applications have grown rapidly in some industries, and demands for application implementation have gradually emerged in more potential industries.
With the evolution of AI models, their complexity and model parameters have been increasing, and the computational power required for training models has increased exponentially.
Build a new type of AI infrastructure with high efficiency, low cost and scale, and comprehensively build a physical space digital search engine and recommendation system
SenseCore consists of three parts: the model layer, the deep learning platform, and the computing infrastructure
Accelerates the large-scale implementation of AI, and reduces the production costs and technical threshold of algorithm models.
Comprehensively solves the long tail application problem in urban management, enterprise service and personal life, and opens up the closed loop of business value.
Structures unstructured data, establishes a digital search engine and recommendation system based on physical space, and builds a new business model.
Help you achieve new breakthroughs in business with professional AI solutions and advanced AI products
