Featured
customizable stack
Modular by design. Provable by default.
Take the layers you need and change them as you grow, all from one place. Every run leaves a record anyone can check.
Private Computer
Run inference and fine-tuning across a network of independent GPU providers. Your data stays encrypted throughout, and every result carries proof of which model produced it.
Storage
Hold AI datasets, model weights, and live state at 2 GB per second, for a fraction of what traditional cloud storage costs.
Chain
An EVM-compatible Layer 1 built for AI-scale throughput, where every model run, payment, and ownership record settles onchain.
- AI tokens consumedsince mainnet
- 440.35B
- Transactionssince mainnet
- 36.7M
- Accountsusers, builders and agents
- 5.6M
- Ecosystem projectslive today
- 300+
features
Verifiable, controllable, yours. Three requirements no one else meets.
| Capability | 0G | Typical private AI appTypical private AI app |
|---|---|---|
| Private chat, nothing logged | ||
| Image and video generation | ||
| Works without a wallet | ||
| Pick from multiple models | ||
| Choose your trust level per requestChoose your trust level | No | |
| Proof of which model ran | No | |
| You own what you build | No |

enterprise
Built for regulated,
sensitive workloads.
Finance, healthcare, and government applications on compute the provider's own machine can't read into. Call the models your teams already use, and every request comes with proof of what ran, and where.
available models
- GLM-5.3
- DeepSeek V4 Pro
- Qwen
- 0GM-1.0
partners
Hundreds of teams shipping on infra that’s already running
From RPC and GPU capacity to confidential compute and onchain identity, the teams building that infrastructure are already here.
Alibaba CloudQwen models callable on-chain. No API keys, no fiat billing.
QuickNode0G RPC with full archive, debug and trace. Mainnet and Galileo.
Phala NetworkFirst verifiable compute providers on 0G, via TEE-based confidential inference.
Google CloudA 0G validator since mainnet, and a launch partner for compute and AI.
AethirGPU capacity for 0G builders through the AI Unbundled alliance.
American FortressPrivate Send-to-Name payments for people and AI agents, co-built with 0G.
Goldsky0G chain data, indexed and streamed through subgraphs and pipelines.
LI.FIBridging into 0G from other chains, built into 0G Hub.
OpenLedgerAI datasets stored on 0G, so training data stays available and intact.
research
Built on published work.
Twelve peer-reviewed papers on decentralized training, verifiable inference and AI alignment, written with the following leading partners.
May 28, 2026Agora: Toward Autonomous Bug Detection in Production-Level Consensus Protocols with LLM AgentsICML 2026
January 13, 2026BabyVision: Visual Reasoning Beyond LanguageICML 2026
November 10, 2025CCAgent: Coordinating Collaborative Data Scaling for Operating System Agents via Web3ACM 2025



