by Zero Gravity Labs
Quick Fact
Built by Zero Gravity Labs and backed by over $325 million from top-tier investors, 0G boasts over 2500 testnet TPS, 339 million testnet transactions, and 8000+ validators, all designed to support high-throughput AI workloads and dApps.
Unlike traditional chains optimized for tokens or smart contracts, 0G was engineered from the ground up for AI. It’s a modular AI Operating System—a unified stack where execution, storage, data availability, compute, and inference coexist. Every layer is optimized for AI workloads: models, data streams, and computations must run trustlessly and at scale.
0G isn’t just another L1—it’s a purpose-built AI infrastructure backbone, removing central bottlenecks and enabling fully on-chain intelligence.
Rather than optimizing for asset transfers or generalized computation, 0G is built for:
Storing large-scale datasets and models
Running inference and compute verifiably
Coordinating autonomous agents
Enabling modularity across data, compute, and execution
It is not a rollup, not just a storage protocol, and not another EVM fork—0G is its own high-throughput, AI-first Layer 1 with custom architectural layers.
The 0G protocol stack includes five tightly integrated layers:
The core Layer 1 chain. It uses Proof-of-Stake consensus and supports EVM-compatible execution environments for smart contracts and programmatic logic.
A decentralized data storage layer optimized for large datasets and ML models. Uses a novel mechanism called Proof-of-Random-Access (PoRA) to ensure storage nodes actually retain and serve data correctly.
A horizontally scalable layer for ensuring high-volume data can be published, referenced, and accessed. It decouples storage and publishing, allowing parallel DA for AI-specific throughput.
A decentralized compute layer for inference. Compute providers execute machine learning models off-chain and submit proofs of execution, which can be verified by the protocol.
These are responsible for auditing, verifying, and ensuring that AI systems (and their outputs) align with agreed-upon standards, safety mechanisms, or DAO rules.
0G enables entirely new categories of applications that require trustless AI coordination:
On-chain AI agents that can learn, adapt, and transact autonomously
Decentralized AI marketplaces for buying, selling, and licensing datasets or models
Governance-aware AI systems that align with community values or predefined constraints
On-chain inference for DeFi, content, healthcare, or identity systems
DataFi protocols where users tokenize and trade their data into verified training sets
Rather than bolting AI onto a chain as an afterthought, 0G builds around it—at the protocol level.
Since launch, 0G has seen massive testnet activity:
Over 300 million transactions
More than 8,000 active validators
Thousands of developers deploying AI-native dApps, agents, and data DAOs
Multiple hackathons and grants programs attracting AI/ML engineers and Solidity developers
A large funding round and strategic ecosystem partners positioning 0G as the center of the decentralized AI narrative
It’s not speculative infrastructure—it’s already in motion.