Fund AI Compute Across 40+ Chains 💳 Cross-chain payment infrastructure has always had real value. $XLM has been relevant for years because settling value across different chains efficiently is genuinely hard. $HBAR built its enterprise use case around being a reliable settlement layer for real-world systems. Now AI compute is running into the same wall. Developers who want to run verifiable inference on decentralized AI infrastructure have to source the right token, buy it, bridge it, and load it before making a single API call. Four steps. Before one inference runs. That friction is the real bottleneck. 0G just shipped a fix. 0G Pay, powered by Khalani, delivers three funding rails into one compute balance. → Fiat via debit or credit card → Any crypto across 40+ chains and 1,000+ assets → Native 0G token No bridging loops. No wallet prep. One balance, three ways to fund it. Khalani's coordination layer routes the cross-chain swaps in the background. Developers choose their rail and start calling the inference API immediately. The model generalizes across AI agent platforms and AI marketplaces. Any system that needs to charge for compute now has a clean payment layer to plug into. Payment abstraction is one of the last real friction points before AI compute scales. I'm watching how fast developers move on this. #Altcoin Season# #XLM
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