Building Decentralized AI? Here’s Why 0G Should Be Part of Your Stack

At its core, web3 is about building new decentralized solutions without scalability, ownership or collaboration constraints. AI, on the other hand, has traditionally been the opposite: opaque, centralized, and difficult to integrate into permissionless systems. For builders, this creates a paradox: AI is increasingly powerful and necessary, but most AI tools force developers into closed ecosystems, restrictive access models, or onchain environments that aren’t purpose-built for AI.

0G was designed to change this. As the first decentralized AI protocol (AIP), 0G makes possible decentralized AI apps to bring about a truly democratized future of intelligence. It’s a full-stack solution that provides everything an AI application needs: compute, data availability, and storage. And projects deploying on 0G’s L1 have the benefit of faster and more seamless interplay between all these specialized capabilities.

But here’s the key point: you don’t have to fully deploy on 0G’s chain to benefit from its powerful, modular features!

Modular AI infrastructure means you can pick and choose what you need. Whether you want to decrease the operational costs of an AI dApp or run your existing AI models in a more verifiable onchain environment, 0G’s modular offerings can plug directly into your current stack. 

0G’s Modular Infrastructure Can Benefit Any AI Stack

One of the biggest misconceptions about onchain AI is that it requires full migration to a new blockchain. The reality is much more flexible. 0G’s modular architecture allows builders to tap into decentralized AI infrastructure without abandoning their existing ecosystems. 

The end result is more:

• Targeted AI Infrastructure: Use 0G’a storage, compute, and DA solutions independently or in tandem, depending on your strategic needs..
• Scalability and Flexibility: Tap into scalable, lower-cost AI infrastructure that unlocks new product build options and end user possibilities.
• Cross-Chain Compatibility: Keep the core of your existing AI setup while integrating best-in-class AI infrastructure services.

Let’s break down what this looks like across several of 0G’s core AI infrastructure layers.

AI Storage: Long-Term & High-Speed Solutions

AI models are data-hungry, since they require vast amounts of storage for training datasets, inference logs, and real-time operational data. Traditional blockchain storage solutions like Arweave and Filecoin weren’t designed for AI workloads, leading to slow retrieval speeds and inefficient data access. 0G’s decentralized storage infrastructure is different.

0G offers two storage tiers designed to meet different needs:

• Standard Storage: A low-cost, decentralized storage layer for archival datasets, training data, and rollup state history.
• Turbo Storage: A high-speed storage layer optimized for AI inference, dynamic dApps, and real-time querying.

With this, a web3 social app using AI for personalized feeds could store long-term behavioral data using 0G Standard Storage, ensuring cost-effective data retention while using Turbo Storage for real-time content recommendations. Or an AI-powered NFT marketplace could store generative model weights and metadata in 0G Storage, ensuring onchain provenance and availability without incurring the high costs of centralized storage providers.

Both solutions use onchain incentives and cryptographic proofs to ensure data integrity while reducing reliance on centralized cloud providers, in addition to enabling new hybrid AI models.

Data Availability: Scalable, Trustless, & Cost-Efficient

One of the most pressing technical challenges for L2s, rollups, and AI-powered dApps is ensuring that data remains available and verifiable without overwhelming the base layer they rely on. Traditional DA solutions weren’t built for AI, meaning they struggle with handling large, high-throughput AI datasets that require constant state transitions and onchain interactions.

0G solves this with an infinitely scalable DA layer that enables rollups, AI-enhanced smart contracts, and decentralized AI to offload data while maintaining security and accessibility.

Even if your AI is not fully deployed on 0G chain, you can use 0G DA to:

• Reduce the cost of posting data onchain compared to Ethereum or traditional L1 DA solutions.
• Ensure fast, low-latency data access without sacrificing decentralization or flexibility.
• Integrate seamlessly with rollup frameworks like AltLayer to optimize scalability.

Consider a DeFi rollup that needs efficient storage for trade execution history: by using 0G DA instead of something like Ethereum, the rollup can significantly cut costs while ensuring all transactions remain verifiable onchain. Similarly, an AI-powered DAO governance system could use 0G DA to securely store and verify voting data, preventing manipulation and maintaining transparency across decision-making processes.

AI Compute: Verifiable Onchain Inference Execution

Most blockchains are designed for transaction processing, not AI execution. Running AI models onchain is difficult due to high computation costs, slow inference speeds, and a lack of scalable compute infrastructure. That’s why AI in web3 today is still mostly offchain and centralized.

0G solves this by providing a decentralized compute network built specifically for AI inference. Instead of relying on closed AI APIs, developers can run AI models trustlessly, with onchain verifiability.

• Onchain AI inference execution for a vast, growing range of AI dApps.
• Support for advanced AI models like Llama-3.3-70B-Instruct and DeepSeek-R1-70B.
• TEEML (Trusted Execution Environment Machine Learning) for verifiable, privacy-preserving AI.

By integrating 0G Compute from other chains, projects gain trustless, verifiable AI execution without centralizing their inference pipelines. This not only enhances transparency but also opens the door to fully composable AI logic that can interact with smart contracts, DAOs, and DeFi protocols in ways that weren’t possible before.

For instance, a DeFi protocol integrating AI-driven risk assessment could tap into 0G Compute to process real-time borrower credit scores instead of relying on opaque, centralized AI risk models. Or a web3 gaming project could offload AI-driven NPC behavior and dynamic world generation to 0G’s decentralized inference layer. Instead of running AI models off-chain (as most web3 games do), the game could request real-time, verifiable inference results from 0G, allowing for adaptive, player-driven experiences where AI characters evolve based on onchain interactions.

0G: Greater than the Sum of its Parts

The long-term vision of 0G is clear—AI should be decentralized, verifiable, and trustless at every level of the stack. The best way to capitalize on everything 0G has to offer is to fully deploy on the 0G network, leveraging the full power of decentralized AI infrastructure.

But we also recognize that many builders don’t want to migrate their existing tech stack. That’s why 0G is designed to be modular, cross-chain compatible, and plug-and-play. Whether you need high-performance storage, scalable DA, or verifiable AI inference, 0G ensures that any project—no matter where it lives—can still take advantage of the most powerful decentralized AI infrastructure in web3.

The most successful platforms don’t just serve one use case—they make it easy for anyone to tap into their infrastructure, whether they operate within the ecosystem or not. This is exactly how 0G is designed for AI, with a powerful, full-stack solution that is greater than the sum of its parts.

Ready to start building on 0G? Apply for Guild on 0G today

Want a deeper dive into 0G’s technical offerings? Check out 0G’s Documentation