Building the world’s largest Decentralized Physical Infrastructure Network (DePIN) for AI is what Decentralized cloud service io.net has declared as its ultimate objective. Io.net seeks to address the lack of GPUs for AI processing by obtaining one million GPUs from independent suppliers of computing resources. In the process, it will create the first machine learning cloud ecosystem that is fully decentralized.
GPU power is becoming one of the most valuable and rare resources in the world due to the emergence of AI. When compared to the expense of training large-scale AI models, demand for GPUs is growing by 10 times every 18 months. As a result, cloud service access has become more expensive and time-consuming, inhibiting innovation and making AI companies wait in queue.
This is what io.net intends to fix by releasing idle GPU capacity on computers all around the globe. This includes independent data centers, whose usual utilization rate is barely 12–18%, as well as minin
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