Install any skill in seconds. Free to start, no credit card required.
Get Started Free →0G Compute Network guide for decentralized AI inference, fine-tuning, and GPU services. Covers chatbots, image generation, speech-to-text, SDK integration (0g-serving-broker), processResponse API, broker.inference methods, CLI commands (0g-compute-cli), and account management. Use this skill for any 0G compute, 0G AI, or decentralized GPU question.
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 37% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 152% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 39% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 68% | 0% |
| case-14 | ✗→✓ | ▲ Improved | 156% | 0% |
This skill provides instructions for building with the 0G Compute Network — a decentralized GPU marketplace for AI inference and model fine-tuning. Follow these patterns exactly when generating code.
processResponse() after every API response (see processResponse section below).When unsure about a pattern, reference the detailed guides:
| Network | RPC URL | Inference | Fine-tuning | |---------|---------|-----------|-------------| | Mainnet | https://evmrpc.0g.ai | Yes | Yes | | Testnet | https://evmrpc-testnet.0g.ai | Yes | Yes |
Model availability changes frequently. Always use broker.inference.listService() or 0g-compute-cli inference list-providers to check current models. On-chain model names use org/model-name format.
bashnode --version # Must be >= 22.0.0 pnpm add @0glabs/0g-serving-broker # SDK for applications pnpm add @0glabs/0g-serving-broker -g # CLI for direct usage
bash0g-compute-cli setup-network # Choose testnet or mainnet 0g-compute-cli login # Login with wallet private key 0g-compute-cli deposit --amount 10 # Deposit funds 0g-compute-cli get-account # Check balance
typescriptimport { ethers } from "ethers"; import { createZGComputeNetworkBroker } from "@0glabs/0g-serving-broker"; const RPC_URL = process.env.NODE_ENV === 'production' ? "https://evmrpc.0g.ai" : "https://evmrpc-testnet.0g.ai"; const provider = new ethers.JsonRpcProvider(RPC_URL); const wallet = new ethers.Wallet(process.env.PRIVATE_KEY!, provider); const broker = await createZGComputeNetworkBroker(wallet); // Discover services const services = await broker.inference.listService(); services.forEach(s => { console.log(`${s.provider} | ${s.model} | ${s.serviceType}`); }); // Make inference request const { endpoint, model } = await broker.inference.getServiceMetadata(providerAddress); const headers = await broker.inference.getRequestHeaders(providerAddress); const response = await fetch(`${endpoint}/chat/completions`, { method: "POST", headers: { "Content-Type": "application/json", ...headers }, body: JSON.stringify({ messages, model }) }); const data = await response.json(); // Extract chatID (see chatID table below) let chatID = response.headers.get("ZG-Res-Key") || response.headers.get("zg-res-key"); if (!chatID) chatID = data.id; // CRITICAL: Always call processResponse await broker.inference.processResponse( providerAddress, // 1st: provider address chatID, // 2nd: response identifier for verification JSON.stringify(data.usage) // 3rd: usage data for fee calculation );
For streaming, browser SDK, cURL, and Python examples, see references/inference.md.
Call broker.inference.processResponse() after EVERY API response for fee settlement and TEE verification.
typescriptawait broker.inference.processResponse( providerAddress, // 1st: provider address chatID, // 2nd: response identifier for verification JSON.stringify(data.usage) // 3rd: usage data for fee calculation );
Parameter order: provider, chatID, usageData. Do NOT reorder.
Always try ZG-Res-Key response header first. Use fallback only when header is absent.
| Service Type | chatID Source | Fallback | |---|---|---| | Chatbot | ZG-Res-Key header | data.id from response body | | Text-to-Image | ZG-Res-Key header | none | | Speech-to-Text | ZG-Res-Key header | none | | Chatbot Streaming | ZG-Res-Key header | id from stream chunk | | Audio Streaming | ZG-Res-Key header | none |
Fine-tuning is available on both mainnet and testnet. It is a 6-step CLI process: list providers, upload dataset, calculate tokens, create task, monitor, download and decrypt.
For the complete workflow, see references/fine-tuning.md.
The 0G Compute Network uses Main Accounts (deposits/withdrawals) and Provider Sub-Accounts (service payments). Sub-account refunds have a 24-hour lock period.
bash0g-compute-cli get-account # Check balance 0g-compute-cli deposit --amount 10 # Deposit to main 0g-compute-cli transfer-fund --provider <ADDR> --amount 5 # Transfer to sub-account 0g-compute-cli retrieve-fund # Retrieve from sub (24h lock) 0g-compute-cli refund --amount 5 # Withdraw to wallet
For detailed account management, see references/account-management.md.
bash# Inference 0g-compute-cli inference list-providers # List all providers 0g-compute-cli inference verify --provider <ADDR> # Verify TEE attestation 0g-compute-cli inference acknowledge-provider --provider <ADDR> # Required before first use 0g-compute-cli inference get-secret --provider <ADDR> # Get API key for direct calls 0g-compute-cli inference serve --provider <ADDR> --port 3000 # Local OpenAI-compatible proxy # Fine-tuning 0g-compute-cli fine-tuning list-providers # List fine-tuning providers 0g-compute-cli fine-tuning list-models # List available models # Web UI 0g-compute-cli ui start-web # Launch at localhost:3090
| Problem | Solution | |---|---| | Insufficient balance | deposit --amount 5 then transfer-fund --provider <ADDR> --amount 2 | | Provider not acknowledged | inference acknowledge-provider --provider <ADDR> | | Provider busy (fine-tuning) | Wait and retry, or choose a different provider | | Web UI port conflict | ui start-web --port 3091 |
> Note: A unified skill covering all 0G services (Compute, Storage, Chain) exists at 0g-agent-skills.
Other measured skills in the registry, with their headline benchmark lift.