# 0G Builder Hub > 0G is the trust layer for AI. It combines private compute, encrypted storage, and an AI-native chain in one stack where AI work, from inference to agent actions, can be verified onchain. This site (https://build.0g.ai) is the builder portal: quickstarts, SDKs, tools, tutorials, and funding guidance. See /llms-full.txt for the expanded version with quickstarts, trust-mode tables, and network config values. ## Stack - [Compute](https://build.0g.ai/compute): Decentralized AI inference. Private Computer (pc.0g.ai) is the primary path; wallet-auth broker flow for apps; trust modes (Standard, Verified, Private) and TEE attestation explained here. - [Storage](https://build.0g.ai/storage): Log layer for append-only archives, Key-Value layer for live state. 30+ MB/s retrieval measured on mainnet, $11/TB/month on Turbo. - [Chain](https://build.0g.ai/chain): EVM-compatible L1 tuned for AI apps. Network config, wallet setup, Hardhat/Foundry deployment. - [Agentic ID](https://build.0g.ai/agentic-id): Onchain identity for AI agents, built on ERC-7857. ## Getting started - [Get Funded](https://build.0g.ai/funding): Testnet gas (faucets), mainnet 0G (get.0g.ai decision tree), and compute credit. Three different things; this page keeps them straight. - [Hacker Guide](https://build.0g.ai/hacker-guide): The dense quickstart for hackathons: wallet, RPC, starter kits, deploy. - [Zero Coding](https://build.0g.ai/agents): Build on 0G with AI coding assistants: AI context docs, skills packages, the 0g-cc MCP server, editor setup, and prompt templates. Agents: this llms.txt is your entry point; ingest it. - [Builders Update](https://build.0g.ai/updates): The 0G builder changelog: network updates, ships, events, and spotlights, one block at a time. ## Reference - [SDKs & Starter Kits](https://build.0g.ai/sdks): Official TypeScript, Rust, and Go SDKs and ready-to-run starter kits. - [Documentation index](https://build.0g.ai/documentation): Curated links into docs.0g.ai by product. - [Full documentation](https://docs.0g.ai): Canonical docs site (has its own /llms.txt). ## Compute surfaces - [Private Computer](https://pc.0g.ai): One API key for the whole model catalog through an OpenAI-compatible endpoint. - [Model catalog](https://pc.0g.ai/models): Live models with per-model pricing and trust-mode support. ## Network config - Galileo Testnet: chainId 16602 (0x40EA), RPC https://evmrpc-testnet.0g.ai, explorer https://chainscan-galileo.0g.ai, faucet https://faucet.0g.ai, native token 0G (18 decimals) - Mainnet: chainId 16661 (0x412D), RPC https://evmrpc.0g.ai, explorer https://chainscan.0g.ai, native token 0G (18 decimals)