Decentralized AI Infrastructure in a trade war between US/ChinaThe AI revolution is real, but it has a critical weakness: GPU scarcity.
NVIDIA's H100s are sold out to specific countries around the world, serving as crucial hardware for AI development. Cloud costs are skyrocketing. Access to compute is being gatekept by Big Tech. Meanwhile, China is no longer allowed to purchase these GPUs from the US due to the ongoing trade war and the escalating AI arms race between the two countries.
Enter $CRYPTO: IONEUSD — a decentralized GPU network on Solana aiming to become the infrastructure layer for AI, machine learning, and high-performance computing.
Just like Helium tokenized wireless infrastructure, IO is tokenizing global compute power.
-AI is the fastest-growing sector globally, but compute remains the biggest bottleneck.
-Cloud GPU costs are 4–10x higher than decentralized alternatives.
-IO.Net positions itself at the intersection of AI, Web3, and tokenized infrastructure.
-IO is early in its growth curve, currently holding a market cap of $131 million.
I believe that IO.Net could represent a way for China to compete with the US in the AI race, offering a high-demand substitute for expensive and sanctioned chips — helping China stay competitive in AI development.
Because IO.Net is decentralized, it cannot be easily shut down. I believe IO.Net is here to stay and has strong potential to grow significantly from its current market cap of $131 million.
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IOUSD trade ideas
IO.net Bullish Chart prediction 2025IO.net, like SUI, was one of the few coins that did not dip much in this retracement.
IO is strong for the mid-term if DePin AI won't be a thing and truly making money in IO sucks.
You can enter at $3 or $2.8 worst.
Future Potential: IO.net's robust infrastructure supports decentralized applications (dApps) and smart contracts, offering scalability and security.
As the demand for dApps increases, IO could become a backbone for various blockchain projects.
Latest News: IO.net Secures Funding for Development of Next-Gen dApps
io.net and Alpha Network have partnered to enhance secure AI and web3 development by addressing data security challenges and improving accessibility to AI tools.
The collaboration will utilize io.net’s decentralized GPU infrastructure to create a secure environment for AI training, ensuring data privacy through Alpha Network’s ZK technology.
Tausif Ahmed of io.net highlighted that the partnership will expand access to decentralized, privacy-compliant AI compute for web3 developers, combining Alpha Network’s privacy solutions with io.net’s GPU capabilities.
Lina Zhang, CEO of Alpha Network, emphasized that the partnership will enable access to advanced AI tools while maintaining privacy and security, fostering the development of new decentralized applications.
The collaboration will also support Alpha Network’s data sharding and model generation solutions, making AI training on large datasets more efficient and scalable.
This partnership is seen as a significant step towards creating secure and accessible tools for AI and web3, benefiting developers, businesses, and GPU owners in a decentralized system.