Decentralized AI INFERENCE
An OpenAI-compatible API served by independent GPU nodes that earn $QAIS. Every job settles on-chain — 95% to the node, 5% protocol fee.
ONE PROMPT GOES IN.
INDEPENDENT GPUs COMPETE FOR IT.
SETTLEMENT LANDS ON-CHAIN.
How a job flows
Five stages from prompt to payment — coordinated by the gateway, settled on-chain.
- 01Prompt
OpenAI-format call hits the API
- 02Gateway
matches a staked node
- 03GPU node
streams tokens live
- 04Verify
oracle samples outputs
- 05Settle
95/5 split, one batch tx
Two ways in
Use the AI
Point any OpenAI client at the gateway and call it — streaming, a model picker, and pre-funded credit with a single signature.
Run a node, earn $QAIS
Got a GPU and Ollama? Install a prebuilt release in ~5 minutes, serve jobs, and earn for every token you stream.
Jobs settling on-chain
Every completed job releases escrow in a single batch transaction.
- 0x93f921eb…llama3.213:19:01settled ✓
- 0x99cccbd8…llama3.213:18:39settled ✓
- 0xd6a3ebb3…llama3.213:17:21settled ✓
- 0xac67d464…llama3.220:16:47pending
- 0x75ca6125…llama3.220:16:45pending
- 0x09f4584b…llama3.207:55:33settled ✓
A real protocol, not a demo
On-chain settlement
Deposit once, sign one EIP-712 spending cap, then fire thousands of calls — they settle in a single batch transaction with zero per-call wallet txs.
Staking + slashing
Nodes stake $QAIS. A 5-dimension reputation score plus Layer-A semantic sampling catch cheaters; disputes slash stake.
Deflationary token
The 5% fee splits 60% ops / 20% stakers / 20% burned. Fixed 1B supply, no mint after launch.
Prompt privacy
Verification stores hashes + scores only — prompt/output text is never persisted. ~5% of jobs are re-run on oracle infra to catch cheating.
Trust model today: a single trusted gateway does matching + settlement (worst case is bounded — it can only settle at signed prices, never steal deposits). Removing it — P2P mesh, on-chain auction, decentralized oracle — is the roadmap.
How we compare
Purpose-built for LLM inference — not general compute or rendering, and the only one your OpenAI code can call unchanged.
| Dimension | QueraIS | Akash | Bittensor | io.net | Render |
|---|---|---|---|---|---|
| Primary focus | LLM inference | General cloud compute | AI via subnets | GPU clusters for ML | GPU rendering + AI |
| OpenAI-compatible API | Yes — drop-in | — | — | — | — |
| Permissionless GPU nodes | Yes | Yes | Yes | Yes | Yes |
| Per-job quality verification | Reputation + slashing | — | Subnet incentives | — | — |
| Pay with | $QAIS / wallet | AKT | TAO | Wallet / fiat | RENDER |
Comparison reflects QueraIS's reading of each project's public positioning; these networks evolve fast — check their own docs for specifics.
See the live network
Browse active nodes, watch jobs settle, and chat with the live network — no install, no key needed to look around.