🎉 [Gate 30 Million Milestone] Share Your Gate Moment & Win Exclusive Gifts!
Gate has surpassed 30M users worldwide — not just a number, but a journey we've built together.
Remember the thrill of opening your first account, or the Gate merch that’s been part of your daily life?
📸 Join the #MyGateMoment# campaign!
Share your story on Gate Square, and embrace the next 30 million together!
✅ How to Participate:
1️⃣ Post a photo or video with Gate elements
2️⃣ Add #MyGateMoment# and share your story, wishes, or thoughts
3️⃣ Share your post on Twitter (X) — top 10 views will get extra rewards!
👉
AI and Web3 Integration: DePIN Leading New Opportunities for Distributed Infrastructure
The Integration of AI and Web3: New Opportunities for Distributed Infrastructure
In today's technology sector, artificial intelligence and cryptocurrency are two of the most关注ed fields. Both industries are full of imagination and development potential, and achieving success in one of these areas could lead to the pinnacle of life. Even more interestingly, some projects are attempting to combine these two fields to create new opportunities.
AI+DePIN: Distributed Physical Infrastructure Network
AI+DePIN is an emerging concept aimed at providing infrastructure support for AI using Web3 methods. With the rise of large language models, the demand for AI infrastructure is also growing rapidly. AI infrastructure requires strong computing power support, consumes a lot of electricity, and high-end GPU chips are expensive.
DePIN stands for Distributed Physical Infrastructure Network, and its core elements include:
Decentralization: Unlike traditional cloud service providers, DePIN projects aim to provide infrastructure resources in a decentralized manner.
Physical infrastructure: Services are provided by actual hardware devices, such as servers, IoT devices, etc.
Token Economy: Encouraging community participation in building the network through economic incentive mechanisms.
The Demand for Computing Power by AI
The demand for computing power in AI can be divided into three categories:
Large model training: Requires the highest standards and professional high-performance equipment.
Model deployment and inference: Requires high computing power, but lower than the training phase.
Edge small models: They require relatively low computing power, and ordinary devices can also participate.
AI+DePIN Project Case Studies
IO.NET
IO.NET is a decentralized AI computing platform based on Solana, aimed at aggregating idle GPU resources to provide affordable computing services for AI startups and developers.
Aethir
Aethir is a cloud computing platform that allows users to share idle GPU resources, providing computational support for gaming and AI applications. The project has partnered with several major gaming companies.
Grass
Grass allows users to earn profits by providing idle network bandwidth, and it is a project based on network resource sharing.
EMC (EdgeMatrix Computing)
EMC is an edge computing protocol that allows ordinary users to use personal computers to participate in providing AI services and earn rewards, suitable for small AI model application scenarios on the edge.
Outlook
Although the AI and cryptocurrency industries are both in the investment phase, combining them through DePIN may create new opportunities. In the future, ordinary users' devices may become part of a distributed infrastructure, generating additional income for users. This integration is expected to lower the barriers to AI infrastructure while bringing new application scenarios to the cryptocurrency industry.