[AI + Blockchain][Layer-1] 0G Protocol ($0G) — Modular L1 for AI, $105M raised, 650M+ testnet txs

Overview
0G Protocol is a next-gen modular Layer-1 blockchain built to handle AI and massive data workloads. Instead of trying to be “another Solana/Ethereum,” it separates storage, compute, and data availability into distinct modules, making it scalable by design.

It’s backed by $105M from top VCs (Animoca, Polygon Ventures, Hack VC, OKX Ventures) and already processed 650M+ transactions on testnet with 22M+ active accounts.

Key Points

• Product: Modular L1 blockchain for AI + data
• Core features: decentralized storage, data availability (DA) network, compute layer
• Compatibility: EVM-compatible → Ethereum devs can launch directly
• Unique: On-chain marketplace for AI models & inference services
• Tokenomics: 13% of total supply (130M $0G) reserved for community
• Team: Ex-Microsoft, Conflux researchers + founders

What it does (core features)

• High throughput: 2,000+ TPS, near-instant confirmation
• Decentralized storage: Store big datasets & AI models at lower cost
• DA network: Verifiable + accessible data for rollups & AI apps
• AI model marketplace: Buy, sell, or monetize AI services on-chain

Why this might work

• AI x Blockchain narrative: positioned at the intersection of 2 hottest trends
• Strong adoption signals: 22M testnet users + $35M in node sales
• Community-first allocation: 13% supply is unusually high for a VC-heavy project
• EVM compatibility: lowers friction for dev adoption

Considerations

• Competing with Sui, Aptos, Celestia → execution will matter
• Needs real AI apps using the marketplace to prove utility
• Heavy VC backing can be a double-edged sword if unlocks come too soon

How to try
Deposits are already open.

• Trading goes live on Bitget, Sept 22 (10:00 UTC)
• Withdrawals open Sept 23

With these fundamentals, many expect a Binance listing later if traction holds.

👉 Would you treat $0G as a quick listing trade, or hold it as a long-term AI x Blockchain bet?

Whitepaper https://cdn.jsdelivr.net/gh/0glabs/0g-doc/static/whitepaper.pdf

Website: https://0g.ai/