MEJ毛毛姐(Ø,G) $M | 🐜
MEJ毛毛姐(Ø,G) $M | 🐜|Aug 04, 2025 13:21
Last time, Michael replied to me saying that TGE would take place later in Q3 So I speculate that TGE should be at the end of September Don't get so involved, let go of Zero and let me do it! @michaelh_0g Do you all know some data? As of H1 2025, 236 projects have chosen to integrate 0G, totaling over 350+integration behaviors. These projects cover general AI, agents, inference models DePIN、 Multiple key tracks including gaming, finance, and security. How can a decentralized AI infrastructure protocol achieve such a large-scale builder aggregation in just a few months? Those who are not in the AI field must be confused The logic behind it is not just about catching up with the AI trend, but also about making the deepest level adaptation to the next generation of on chain AI operating environment from a design perspective. Today, I will interpret the internal causes of this outbreak from three core elements. 🔧 1、 The four core modules form the backbone of the AI native stack one ️⃣ 0G Chain (130+integrated) High performance execution layer, supporting EVM smart contracts. Specially optimized for running AI agents, DeFi protocols, and data call logic. Sub second block generation, matching real-time inference and model triggering mechanisms. two ️⃣ 0G Storage (80+integrated) Distributed, erasure code accelerated storage layer. Optimize throughput for high-frequency data such as AI models, training data, and structured knowledge. The cost is 1/10 to 1/100 of traditional on chain storage. three ️⃣ 0G DA (Data Availability) (80+integrated) Horizontally scalable DA layer, supporting throughput of 50GB/s or above. Provide verifiable availability guarantees such as large-scale datasets and status updates. Similar to Celestia, but with throughput and cost far exceeding its upper limit. four ️⃣ 0G Compute (60+integrated) GPU based distributed inference/training network. Combining ZK verifiable calculations, adapting AI Inference and Fine tuning. We have tested the DiLoCoX framework and trained a 107B parameter model on a 1Gbps network. These four layers of architecture are modular and combinable. Developers can call only one layer or combine it with a complete AI architecture stack. 🧩 2、 Why is modular design the core soul of AI applications? The biggest bottleneck of centralized AI lies not in the model, but in the allocation and invocation of resources: Training requires supercomputing/storage requires secure data sources/inference requires GPU resources Different businesses have different priorities for performance, data privacy, and verifiability The 0G modular architecture solves three core problems: 1. Resource independent scheduling, on-demand calling If you only need data availability services, you can integrate only DA If you already have a trained model, use Compute only for on chain inference 2. Ecological flexible combination, supporting fragmented development Game projects can only call Chain+Storage RWA projects can use DA+Chain+AI Agent 3. Scalable structure, designed for AI level throughput Current projects have implemented on chain model execution through 0G (such as Talus, PlayArts) Data graph projects (such as Sapien and Mind Network) build long-term ecological loops based on Storage This "plug and play+deep integration coexistence" architecture makes 0G a platform that truly adapts to the diverse AI project lifecycle. 🚀 3、 Approaching the main network+TGE preheating+huge incentives, jointly igniting the entry of Builder The ecological growth of 0G is not a "natural fermentation", but is driven by clear and sustained system operation: 🔸 Main network approaching (expected within Q3 2025) The current testing network has connected over 2.5 million wallets Completed over 350 million transactions and deployed over 520000 contracts Storage and computing miner testing incentive synchronization in progress 🔸 TGE preheating (tokenomics sector has been marked as "Very Soon") Multiple public AMAs emphasize that the TGE timeline and token economy mechanism have been finalized 🔸 Incentive plan up to 88.88M+8.88M Diversified incentives for dApps/Agents/AI Builders/Storage Miners/Validator Multiple Guilds have initiated incubation cycles, and One Gravity NFT holders have entered the core equity circle @0G_labs It is a new narrative style for infrastructure: It reconstructs the intelligent execution path using Chain+Storage+Compute+DA It supports fragmented construction patterns and resource optimization through modularization It established an attractive gravitational field for Builder using the main network, excitation, and TGE And this is just the beginning. @0g_CN @0G_Foundation @0G_labs @KaitoAI KaitoYapper
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