Just recently @BlackRock and @nvidia are starting to validate something we’ve been working toward with @corentAI for the last two years. Compute is becoming an asset class. @nvidia just announced financing platforms with @BlackRock , Apollo, Blackstone, @GoldmanSachs , KKR and others designed to mobilize $500B+ into AI infrastructure. Their words: “In AI, compute is revenue.” I think the next evolution is obvious. If compute is productive infrastructure generating revenue, ownership of that infrastructure should eventually become liquid, programmable and accessible globally. That’s where @corentAI is heading. Phase 1: Orchestration One execution layer across models, providers and inference. Corent already routes workloads based on quality, price, speed and availability. Phase 2: Compute Go deeper into the stack. Aggregate GPU capacity and route workloads across compute providers the same way we route models today. Phase 3: Ownership Tokenize GPU infrastructure and fractionalize ownership of productive compute pools, while operators continue maintaining and monetizing the hardware. Phase 4: Liquidity Build the secondary market where ownership of compute infrastructure can move freely, with hardware specifications, utilization and economics attached on-chain. Then recycle the capital back into more infrastructure. - More GPUs. - More capacity. - More workloads. - More revenue-producing compute under one orchestration layer. @BlackRock is helping make compute investable. @nvidia is calling compute productive infrastructure. We want @corentAI to become the layer that orchestrates it, tokenizes it and eventually makes it liquid. Models are only the beginning.

. @corentAI