August 5, 2026

Original author：DePIN Radar TW

Original source：https://www.youtube.com/embed/Z3uFRLRnwQ4

What is the difference between IO, RENDER and TAO? AI, GPU, and DePIN are gradually forming new infrastructure markets. This issue of DePIN Radar compares three representative projects together: 🔹 IO (io.net) decentralized GPU Compute, focusing on GPU supply, actual usage, network revenue and Tokenomics. 🔹 RENDER (Render Network) develops from GPU Rendering to AI Compute, focusing on network workload, BME, Burn and Token Emission. 🔹 TAO (Bittensor) uses Subnet to build a decentralized AI market, focusing on researching Subnet demand, emission distribution and network economy. This video does not make price predictions or provide investment advice. What we really want to answer is: Is there actual demand for these networks? Who is actually using them? Can Tokenomics be linked to online usage? Can DePIN finally become a true AI infrastructure? If you are studying DePIN, AI Infrastructure, GPU Compute and Web3 infrastructure, you can subscribe to DePIN Radar. We will continue to track IO, RENDER, TAO, and other DePIN projects in the future: ・Network usage ・Actual demand ・GPU / Compute ・Income and expenses ・Token Burn ・Token Emission ・Token Unlock ・Product progress ・Ecosystem development #DePIN #IO #ioNET #RENDER #RenderNetwork #TAO #Bittensor #AI #AIInfrastructure #GPU #AI computing power #Web3 #Tokenomics #Decentralized#DePINRadar Research. Track. Compare. Repeat.