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🌞Overview of the DePIN io.net project
👉IO token attracted a lot of community attention when it became the 55th project on Binance Launchpool. The exchange listed IO.NET at 7:00 p.m. on June 11.
👉Io.net is a DePIN project built on Solana, pooling GPU resources and providing computing power to artificial intelligence (AI) and machine learning (ML) companies.
👉Io.net is designed as a new generation cloud system, supporting ML engineers to develop in a decentralized model more easily and cheaper than using the services of centralized companies. like Google, AWS or Azure.
👉Breakthrough points of Io.net
- Io.net takes advantage of the power of the Solana blockchain, ensuring transparency in transactions with all data about the work of participating parties displayed on-chain.
- The project leverages the parallel execution model to optimize performance and expand the scope of ML models. Despite facing many challenges in using hardware resources, the project still achieved certain achievements.
- Io.net has more than 25,000 nodes and provides more than 47,000 computing hours to global users. Network providers collected more than 500,000 USD, showing the cooperation and trust of users in the project.
- The project's decentralized model helps users have more choices, reducing costs and resource scarcity. The project leverages GPUs from multiple sources such as independent data centers and crypto projects to provide more stable and abundant computing power.
- The project's system automatically deploys, schedules and expands, users do not need to worry about technical and hardware issues.
#Ionet #Launchpool #Binance
👉IO token attracted a lot of community attention when it became the 55th project on Binance Launchpool. The exchange listed IO.NET at 7:00 p.m. on June 11.
👉Io.net is a DePIN project built on Solana, pooling GPU resources and providing computing power to artificial intelligence (AI) and machine learning (ML) companies.
👉Io.net is designed as a new generation cloud system, supporting ML engineers to develop in a decentralized model more easily and cheaper than using the services of centralized companies. like Google, AWS or Azure.
👉Breakthrough points of Io.net
- Io.net takes advantage of the power of the Solana blockchain, ensuring transparency in transactions with all data about the work of participating parties displayed on-chain.
- The project leverages the parallel execution model to optimize performance and expand the scope of ML models. Despite facing many challenges in using hardware resources, the project still achieved certain achievements.
- Io.net has more than 25,000 nodes and provides more than 47,000 computing hours to global users. Network providers collected more than 500,000 USD, showing the cooperation and trust of users in the project.
- The project's decentralized model helps users have more choices, reducing costs and resource scarcity. The project leverages GPUs from multiple sources such as independent data centers and crypto projects to provide more stable and abundant computing power.
- The project's system automatically deploys, schedules and expands, users do not need to worry about technical and hardware issues.
#Ionet #Launchpool #Binance
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What is Io.net? Learn about the DePIN project launched on the 55th Binance Launchpool
What is Io.net?
io.net is a DePIN project built on Solana infrastructure, focused on providing GPU computing power to artificial intelligence (AI) and machine learning (ML) companies at a fraction of the cost. Reasonable and optimal execution time.
The project focuses on aggregating GPU resources to help machine learning engineers access decentralized cloud services more conveniently and cost effectively than centralized platforms such as Google, AWS and Azure. Using decentralized computing network technology, io.net helps reduce the financial burden on developers and the data scientist community.
io.net is a DePIN project built on Solana infrastructure, focused on providing GPU computing power to artificial intelligence (AI) and machine learning (ML) companies at a fraction of the cost. Reasonable and optimal execution time.
The project focuses on aggregating GPU resources to help machine learning engineers access decentralized cloud services more conveniently and cost effectively than centralized platforms such as Google, AWS and Azure. Using decentralized computing network technology, io.net helps reduce the financial burden on developers and the data scientist community.