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The GPU market surged from $52.1 billion to $100 billion in one year, highlighting the immense demand for AI/ML compute power. 📈 With @ionet's decentralized network, developers get the compute power they need: ✅Scalable ✅Reliable ✅Free from the limits of centralized infrastructure
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Why do web2 AI/ML organizations choose @ionet?🤔 Our VP of BD @protaucol explains: ✅ The unique value of our platform ✅ How we help partners like @krea_ai & @LeonardoAi_ scale and innovate
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"Companies will spend $100 million to train a bleeding-edge model this year, and that amount will hit $100 billion in the coming years." These skyrocketing costs create entry barriers, limiting innovation to a few major players. At https://t.co/ZuybGWvRkH, we’re building decentralized, scalable infrastructure to democratize AI compute power.
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"Companies will spend $100 million to train a bleeding-edge model this year, and that amount will hit $100 billion in the coming years." These skyrocketing costs create entry barriers, limiting innovation to a few major players. At https://t.co/ZuybGWvRkH, we’re building a decentralized, scalable infrastructure to democratize AI compute power.
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In last week's AMA, $IO Nation had questions about https://t.co/ZuybGWvjv9's growing partnerships across web2 and web3. Hear our CTO @Gaurav_ionet discuss: ➡️Evolving from building to strategic partnerships ➡️Why web3 organizations were early adopters ➡️How our proven track record in partnerships is paving the way for Web2 AI/ML collaboration
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