hips/HIPs/hip-0008-hmm-hanzo-market-maker-native-dex-for-ai-compute-resources.md

hip, title, author, type, category, status, created, requires

hip	title	author	type	category	status	created	requires
0008	HMM (Hanzo Market Maker) - Native DEX for AI Compute Resources	Hanzo AI Team	Standards Track	Core	Final	2025-01-09	HIP-0000, HIP-0001

HIP-0008: HMM (Hanzo Market Maker) - Native DEX for AI Compute Resources

Abstract

This proposal specifies the HMM (Hanzo Market Maker), a native decentralized exchange built on Hanzo's sovereign L1 blockchain (launching as L2 on Lux) for trading AI compute resources. HMM enables a liquid marketplace for GPU time, model inference, training slots, and other AI resources with dynamic pricing, instant settlement, and cross-chain accessibility.

Specification

Core Architecture

class HMMExchange:
    """
    Hanzo Market Maker - DEX for AI compute resources
    """
    def __init__(self):
        self.resource_pools = {}  # Liquidity pools for compute types
        self.order_book = OrderBook()
        self.pricing_engine = DynamicPricingEngine()
        self.quality_oracle = QualityMetricsOracle()
        self.settlement_layer = InstantSettlement()

Resource Types

Tradeable Compute Resources

GPU Compute:
  - Inference: Real-time model inference (tokens/second)
  - Training: Batch training slots (GPU-hours)
  - Fine-tuning: Dedicated fine-tuning resources
  - Memory: VRAM allocation (GB-hours)

Model Access:
  - HLLM Inference: Access to Hamiltonian models
  - Custom Models: User-deployed model endpoints
  - Embeddings: Vector generation services
  - Agents: Autonomous agent runtime

Storage & Data:
  - Model Storage: Persistent model hosting
  - Dataset Storage: Training data repositories
  - Vector DBs: Embedding storage and retrieval
  - Checkpoints: Training state persistence

Market Mechanisms

Automated Market Making (AMM)

class ComputeAMM:
    """
    Constant product AMM for compute resources
    """
    def get_price(self, pool, amount_in, resource_type):
        """
        x * y = k pricing formula adapted for compute
        """
        reserve_compute = pool.compute_reserves[resource_type]
        reserve_hanzo = pool.hanzo_reserves
        
        # Apply constant product formula
        k = reserve_compute * reserve_hanzo
        new_compute = reserve_compute - amount_in
        new_hanzo = k / new_compute
        
        price = new_hanzo - reserve_hanzo
        
        # Apply quality multiplier
        quality_score = self.oracle.get_quality(resource_type)
        adjusted_price = price * quality_score
        
        return adjusted_price

Order Book Model

class OrderBook:
    """
    Traditional order book for limit orders
    """
    def __init__(self):
        self.bids = PriorityQueue()  # Buy orders
        self.asks = PriorityQueue()  # Sell orders
        
    def place_order(self, order_type, resource, amount, price):
        order = Order(
            type=order_type,
            resource=resource,
            amount=amount,
            price=price,
            timestamp=now()
        )
        
        if order_type == "BID":
            self.bids.add(order)
        else:
            self.asks.add(order)
            
        self.match_orders()

Liquidity Provision

Resource Pools

class ResourcePool:
    """
    Liquidity pool for specific compute resource
    """
    def __init__(self, resource_type):
        self.resource_type = resource_type
        self.compute_reserves = 0  # Available compute units
        self.hanzo_reserves = 0    # HANZO tokens in pool
        self.lp_tokens = {}        # Liquidity provider shares
        
    def add_liquidity(self, provider, compute_amount, hanzo_amount):
        # Calculate LP tokens based on pool share
        if self.total_lp_tokens == 0:
            lp_tokens = sqrt(compute_amount * hanzo_amount)
        else:
            lp_tokens = min(
                compute_amount * self.total_lp_tokens / self.compute_reserves,
                hanzo_amount * self.total_lp_tokens / self.hanzo_reserves
            )
        
        self.lp_tokens[provider] += lp_tokens
        self.compute_reserves += compute_amount
        self.hanzo_reserves += hanzo_amount
        
        return lp_tokens

Quality Metrics & Pricing

Performance Oracle

class QualityMetricsOracle:
    """
    Tracks and reports compute quality metrics
    """
    def __init__(self):
        self.metrics = {
            "latency": {},      # Response time
            "throughput": {},   # Tokens/second
            "availability": {}, # Uptime percentage
            "accuracy": {}      # Model performance
        }
        
    def update_metrics(self, provider, metrics):
        # Rolling average of performance metrics
        for metric, value in metrics.items():
            self.metrics[metric][provider] = (
                0.7 * self.metrics[metric].get(provider, value) +
                0.3 * value
            )
    
    def calculate_quality_score(self, provider):
        # Weighted quality score 0-1
        weights = {
            "latency": 0.3,
            "throughput": 0.3,
            "availability": 0.2,
            "accuracy": 0.2
        }
        
        score = sum(
            self.metrics[metric].get(provider, 0.5) * weight
            for metric, weight in weights.items()
        )
        
        return score

Settlement & Execution

Instant Settlement Layer

class InstantSettlement:
    """
    Sub-second settlement for compute trades
    """
    def settle_trade(self, buyer, seller, resource, amount, price):
        # Atomic swap
        with atomic_transaction():
            # Transfer HANZO from buyer to seller
            self.transfer_hanzo(buyer, seller, price)
            
            # Allocate compute resource
            allocation = self.allocate_compute(
                provider=seller,
                consumer=buyer,
                resource=resource,
                amount=amount
            )
            
            # Create access token
            access_token = self.create_access_token(
                allocation=allocation,
                expires=now() + duration(amount)
            )
            
            return access_token

Cross-Chain Bridge

contract HMMBridge {
    mapping(address => uint256) public pendingCompute;
    
    function bridgeFromEthereum(
        uint256 amount,
        bytes32 resourceType
    ) external payable {
        // Lock ETH/tokens
        require(msg.value >= getPrice(amount, resourceType));
        
        // Emit event for Hanzo L2
        emit ComputeRequested(
            msg.sender,
            amount,
            resourceType,
            block.timestamp
        );
        
        // Hanzo L2 monitors and allocates compute
        pendingCompute[msg.sender] = amount;
    }
}

Economic Model

Fee Structure

Trading Fees:
  - Taker: 0.3% of trade value
  - Maker: 0.1% of trade value
  - LP Rewards: 0.2% to liquidity providers

Quality Incentives:
  - Performance Bonus: +50% fees for top 10% quality
  - Penalty: -50% fees for bottom 10% quality
  - Slashing: Remove from pools for consistent poor performance

Volume Discounts:
  - Tier 1 (>1000 HANZO/month): 10% discount
  - Tier 2 (>10000 HANZO/month): 20% discount
  - Tier 3 (>100000 HANZO/month): 30% discount

Token Utility

HANZO token uses in HMM:

1. Trading: Buy/sell compute resources
2. Liquidity: Provide liquidity to pools
3. Governance: Vote on pool parameters
4. Staking: Stake for fee discounts
5. Quality: Stake as quality collateral

Security Considerations

Resource Verification

• Cryptographic proof of compute completion
• Trusted Execution Environment (TEE) attestation
• Slashing for false resource claims

Price Manipulation Protection

• Time-weighted average prices (TWAP)
• Maximum price impact limits
• Flash loan protection

Quality Assurance

• Continuous performance monitoring
• Automated quality scoring
• Community reporting system

References

1. Uniswap v3 Whitepaper (Concentrated Liquidity)
2. Render Network (Distributed GPU Compute)
3. Akash Network (Decentralized Cloud)
4. Ocean Protocol (Data Markets)

Copyright

Copyright and related rights waived via CC0.