Recent developments in decentralized artificial intelligence (AI) highlight a shift from solely improving AI models to focusing on decentralized intelligence and ownership of AI infrastructure. HyperGPT emphasizes the need for decentralized intelligence to address issues of closed, opaque, and profit-centric AI systems. Major technology companies such as Google, Microsoft, OpenAI, and Meta are moving towards owning memory, context, and ecosystems where AI agents operate. Akash Network has made strides in decentralized AI compute marketplaces, notably with an 8 billion parameter model trained across continents without performance degradation, signaling advancements in distributed AI training. Akash’s decentralized GPU marketplace has generated $58,000 in USDC payouts to GPU NFT holders over the past five months, demonstrating real earnings potential for owners of GPU NFTs. This model allows individuals to own AI infrastructure and benefit financially, with providers ready to scale operations. The collaboration between Akash Network and Silicon is pioneering GPU NFTs as real-world assets (RWA), offering a new approach to AI compute ownership without vendor lock-in and at reduced costs. These innovations are being showcased at the upcoming SuperAI conference in Singapore on June 18-19, where decentralized AI infrastructure and the Internet of GPUs will be key topics.