Technical Specifications
System Architecture
Neural Network Architecture:
├── Transformer Models: GPT-4 class language models
├── Convolutional Networks: Time-series pattern recognition
├── Recurrent Networks: Sequential decision modeling
├── Reinforcement Learning: Q-learning and policy gradients
└── Ensemble Methods: Multiple model combination
Processing Requirements:
├── CPU: 64-core ARM or x86 processors
├── GPU: NVIDIA A100 or equivalent for training
├── Memory: 512GB RAM minimum for production
├── Storage: 10TB NVMe SSD for data and models
└── Network: 10Gbps dedicated bandwidthSupported Networks:
├── Ethereum: Full node with archive data
├── Polygon: Validator node participation
├── Arbitrum: Sequencer integration
├── Optimism: State root verification
├── Binance Smart Chain: Full node operation
└── Avalanche: Subnet participation
Integration Methods:
├── Web3 Libraries: ethers.js, web3.py
├── RPC Endpoints: Multiple provider redundancy
├── WebSocket Streams: Real-time event monitoring
├── Graph Protocol: Indexed blockchain data
└── Custom Indexers: Protocol-specific data extractionSecurity Specifications
Performance Specifications
API Specifications
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