ACI: The AI Compute Infrastructure Network

AI compute is centralized. A handful of providers control access, pricing, and availability. Today we are launching ACI (AI Compute Infrastructure), a decentralized network for trustless, verifiable AI inference.

The Centralization Problem

Current AI infrastructure:

Few providers: OpenAI, Anthropic, Google control most capacity
Opaque pricing: Costs change without notice
Single points of failure: Outages affect everyone
No verification: Trust that model ran correctly
Geographic restrictions: Access varies by region

This centralization creates risk for AI-dependent businesses.

What is ACI

ACI is a blockchain-based network where:

Compute providers offer GPU capacity
Consumers pay for inference
Validators verify computation
Token holders govern the protocol

┌─────────────────────────────────────────────────┐
│                  ACI Network                     │
│                                                  │
│  ┌──────────┐  ┌──────────┐  ┌──────────┐      │
│  │ Provider │  │ Provider │  │ Provider │      │
│  │   GPU    │  │   GPU    │  │   GPU    │      │
│  └────┬─────┘  └────┬─────┘  └────┬─────┘      │
│       │             │             │             │
│       └─────────────┼─────────────┘             │
│                     │                           │
│              ┌──────┴──────┐                   │
│              │  Consensus  │                   │
│              │    Layer    │                   │
│              └──────┬──────┘                   │
│                     │                           │
│              ┌──────┴──────┐                   │
│              │  Consumers  │                   │
│              └─────────────┘                   │
│                                                  │
└─────────────────────────────────────────────────┘

How It Works

Job Submission

Consumer submits inference job:

import { ACI } from '@hanzo/aci';

const aci = new ACI({ wallet: myWallet });

const result = await aci.inference({
  model: 'llama-70b',
  prompt: 'Analyze this product review...',
  maxTokens: 500,
  requirements: {
    minProviderStake: 10000,
    maxLatency: 5000,
    verification: 'optimistic'
  }
});

Provider Selection

Network selects providers based on:

Stake: Higher stake = more trusted
Reputation: Historical performance
Capacity: Available compute
Latency: Geographic proximity

Execution

Provider runs inference:

Load model weights (verified hash)
Execute inference
Generate proof of computation
Submit result and proof

Verification

Two verification modes:

Optimistic: Result accepted unless challenged

Result submitted → 24h challenge period → Finalized
                            ↓
                    Challenge raised
                            ↓
                    Full re-execution by validators
                            ↓
                    Slash dishonest party

Immediate: Multiple providers execute, consensus on result

Job → 3 providers execute → 2/3 agreement → Result finalized
                                    ↓
                            Disagreement
                                    ↓
                            Additional validators

Economics

Pricing

Market-based pricing with:

Base compute cost (GPU-hours)
Model licensing (if applicable)
Verification premium
Priority fee

Example: LLaMA-70B, 500 tokens
- Compute: $0.002
- Verification: $0.0005
- Total: $0.0025

vs. Centralized API: $0.004
Savings: 37%

Provider Economics

Providers earn:

Inference fees (80% of payment)
Staking rewards (from protocol inflation)
Slashing protection (stake at risk)

Token Utility

ACI token used for:

Payment for inference
Provider staking
Governance voting
Fee burning (deflationary)

Technical Architecture

Consensus Layer

Built on Lux Network for:

Sub-second finality
High throughput (10,000+ TPS)
Low fees ($0.001 per transaction)
Post-quantum security

Model Registry

On-chain registry of:

Model metadata
Weight hashes
License terms
Version history

contract ModelRegistry {
    struct Model {
        string name;
        bytes32 weightsHash;
        address owner;
        uint256 licenseFeeBps;
        bool openAccess;
    }

    mapping(bytes32 => Model) public models;

    function register(Model calldata model) external;
    function verify(bytes32 modelId, bytes32 weightsHash) external view returns (bool);
}

Proof of Inference

Cryptographic proof that inference ran correctly:

Input commitment
Model hash verification
Output determinism check
Hardware attestation

Use Cases

Redundant AI Infrastructure

Never depend on single provider:

const result = await aci.inference({
  model: 'llama-70b',
  prompt: prompt,
  fallback: {
    providers: 3,
    consensus: 'any'
  }
});

Verifiable AI

Prove AI was used correctly:

const { result, proof } = await aci.inference({
  model: 'llama-70b',
  prompt: prompt,
  verification: 'immediate'
});

// Proof verifiable on-chain
const verified = await aci.verifyProof(proof);

Decentralized Applications

AI for dApps without centralized dependencies:

contract AIOracle {
    function requestInference(
        bytes32 modelId,
        bytes calldata prompt
    ) external returns (bytes32 requestId);

    function fulfillInference(
        bytes32 requestId,
        bytes calldata result,
        bytes calldata proof
    ) external;
}

Roadmap

Q4 2024: Testnet launch
Q1 2025: Mainnet beta
Q2 2025: Full mainnet
Q3 2025: Enterprise features

Get Involved

Providers: Run nodes, earn rewards
Developers: Build on ACI
Token holders: Participate in governance

Documentation: aci.hanzo.ai

The future of AI is decentralized. ACI makes it real.

Zach Kelling is the founder of Hanzo Industries.