In an in-depth exchange with the Chinese community, Henry, CEO of Aise Network, shared his vision for GPU computing resource rental services and the application of Web3 technology in this field. Aise Network is a platform dedicated to providing high-performance GPU computing resource rental services. Through innovative technologies and flexible service models, it provides efficient and convenient computing resource support for multiple industries. Henry elaborated on the key role of GPUs in the fields of artificial intelligence (AI) and machine learning, and how Aise Network uses Web3 technology to ensure the transparency and security of its services.

Henry pointed out that GPU (Graphics Processing Unit) plays a vital role in AI and machine learning tasks with its powerful parallel computing capabilities. Compared with traditional central processing units (CPUs), GPUs can process large amounts of data at the same time, greatly accelerating the speed of large-scale data processing and complex calculations. This makes GPUs indispensable in training AI models and improving algorithm performance. With the continuous development of AI technology, the demand for computing resources is also growing rapidly, while the high hardware costs and complex maintenance management have become obstacles for many companies and individuals.

Aise Network aims to solve this problem by providing efficient, flexible and economical GPU computing power leasing services through its platform. Henry introduced that whether it is a start-up, a scientific research institution or an individual developer, it only takes a few simple steps to obtain the most powerful computing resources at the lowest cost. Aise Network's platform uses cutting-edge blockchain technology to ensure the transparency and security of every transaction. Users can flexibly choose different GPU models and computing time according to their needs to achieve the optimal configuration of resources. At the same time, the platform also provides round-the-clock technical support to ensure that users have no worries during use.

Henry particularly emphasized the application of Web3 technology in Aise Network. Through blockchain technology, Aise Network ensures that the allocation of all computing resources and income distribution are recorded on an immutable blockchain. Smart contracts automatically execute and verify these transactions, eliminating the involvement of intermediaries and improving efficiency and trust. This transparent and secure mechanism allows users to clearly see every transaction and resource usage, greatly improving the user experience.

Looking to the future, Henry said that GPU technology will further integrate with AI and Web3 ecosystems to promote the emergence of more innovative applications. The efficient computing power of GPUs will continue to support the development of AI and help realize more complex and intelligent applications. At the same time, Web3 technology will provide decentralized and transparent infrastructure for these applications to ensure the security and trustworthiness of data and computing. Henry believes that in the future we will see more decentralized AI applications based on blockchain, which will be driven by powerful computing support provided by GPUs, thereby promoting the innovative development of technology and applications. For example: the combination of AI, GPU and Web3 will completely change the operation mode and efficiency of different industries. In the financial industry, AI can provide more accurate risk assessment and market forecasting, GPU accelerates the computing process, and Web3 technology ensures the transparency and security of transactions; in the medical field, AI assists in diagnosis and treatment optimization, GPU processes large amounts of medical data, and blockchain ensures the privacy and security of patient data; in the entertainment industry, AI generates personalized content recommendations, GPU processes high-quality image and video rendering, and Web3 technology promotes the transparency of digital copyright and revenue distribution. This combination of multiple technologies will promote the digital transformation of all industries and improve efficiency and innovation capabilities.

Henry also introduced the four core functions of Aise Network, which ensure the computing power and benefits of users. The first is the Aise Roulette 24 computing power cluster system, which fairly distributes users' pledged computing power through 24 layers of different computing power weight ratios. The second is the Aise MProtocol, which distributes 20% of the computing power leasing staking rewards to $sAise and $rsAise holders. The third is the computing power cohesion system, which reduces the block rewards by 50% each year, and users can obtain $sAise tokens by staking GPU NFT cards. Finally, there is the Restaking Proof system, which accelerates computing power through the mutual conversion of $sAise, $Aise and $rAise.

Currently, Aise Network plans to officially launch the product in August and provide users with more interesting features, such as task systems and synthesis systems, to enhance users' computing experience and sense of participation. Henry looks forward to in-depth exchanges with more partners and users at the Ho Chi Minh City meeting on August 3 to jointly explore more innovative ideas and cooperation opportunities.

Aise Network is committed to building an ecosystem for sharing computing resources, so that more people can achieve the most efficient computing power application at the lowest cost. Henry firmly believes that through continuous technological innovation and optimization of user experience, Aise Network will create a new GPU computing power model in the future, better serve computing power providers and demanders, jointly promote technological progress, and create a better future.