AI Infrastructure Needs More Than Models And Algorithms The public conversation around artificial intelligence often focuses on model capabilities: what a system can generate, how accurately it responds and how much more intelligent it becomes. But every inference request also depends on infrastructure. Computing resources must be available, tasks must be coordinated and results must be delivered reliably. That is where decentralized AI infrastructure becomes an interesting area to watch. 𝗪𝗵𝗲𝗿𝗲 𝗕𝗧𝗧𝗜𝗻𝗳𝗲𝗿𝗚𝗿𝗶𝗱 𝗘𝗻𝘁𝗲𝗿𝘀 BTTInferGrid is part of BitTorrent's broader expansion into decentralized AI inference computing. Its direction involves connecting AI workloads with distributed computing resources. The opportunity is not simply to add GPUs to a network. It is to build the coordination mechanisms that make those resources useful to applications. 𝗧𝗵𝗲 𝗪𝗶𝗱𝗲𝗿 𝗕𝗶𝘁𝗧𝗼𝗿𝗿𝗲𝗻𝘁 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆 The brand upgrade brings this AI direction alongside content distribution and BTTC Layer 2 infrastructure. Meanwhile, the BTT buyback program connects revenue from decentralized services with token purchases and burns. 𝗪𝗵𝗮𝘁 𝗗𝗲𝘀𝗲𝗿𝘃𝗲𝘀 𝗔𝘁𝘁𝗲𝗻𝘁𝗶𝗼𝗻 Actual inference demand, service reliability, provider participation and recurring revenue will matter more than broad AI narratives. @BitTorrent @justinsuntron #TRONEcoStar