"0G and Mira: The Infrastructure Landscape in the Making" Last week, 0G @0G_labs and Mira @Mira_Network @MiraNetworkCN completed their TGE one after the other, and the market response has been quite positive. @0G_labs is continuously expanding on the mainnet, with a more solid foundation for cross-chain and storage. @Mira_Network is ramping up on the validation network, making their collaboration and ecosystem more comprehensive. They are each moving upward, as if filling in key gaps in the same puzzle, gradually piecing together a more complete landscape for AI infrastructure. ____🐼____📝____ 🐼____📝____ 🐼____📝____ "0G Mainnet Advancement" The landscape of 0G @0G_labs mainnet is rapidly expanding. @ankr has already integrated, providing efficient and stable RPC infrastructure for Aristotle, ensuring developers have speed and scalability, supporting the deployment of AI applications. Meanwhile, @chainlink has also launched on 0G @0G_labs, using CCIP as the core cross-chain protocol, allowing $0G to have the positioning of a Cross-Chain Token (CCT) and meeting low-latency oracle needs with Data Streams. The addition of these two major infrastructures has made the cross-chain and AI-driven scenarios of 0G @0G_labs increasingly solid, truly stepping onto a trajectory of counter-cyclical growth. ____🐼____📝____ 🐼____📝____ 🐼____📝____ "Collaboration and Expansion" Mira @Mira_Network has been accelerating forward without a moment's pause, collaborating with more projects to make the validation network more comprehensive. @plumenetwork has secured over 200,000 users in the RWA market, becoming an entry point for funds and users; @0G_labs provides AI-optimized decentralized storage, adding permanence and verifiability to data. Mira @Mira_Network @MiraNetworkCN is also continuously connecting more infrastructures and application parties, extending validation capabilities into computing power, data, models, and scenarios. "Computing Power and Ecosystem" Distributed GPU consensus is supported by @ionet, @exa_bits, @SpheronFDN, @Hyperbolic_labs, @gaib_ai, etc., lowering costs and eliminating single points of failure; in the agent ecosystem, @sendaifun, @arcdotfun, @myshell_ai, @Spectral_Labs, @PhalaNetwork, etc., are integrating with Mira validation to ensure trustworthy outputs. ____🐼____📝____ 🐼____📝____ 🐼____📝____