APACE TESTNET

APACE TESTNET is the test network for our revolutionary decentralized database system. It provides a safe environment for testing and development of decentralized database applications.

Core Features

Decentralized Architecture

Fully distributed system with no single point of failure.

Smart Contract Integration

Seamless integration with smart contracts for automated data handling.

High Performance

Optimized for speed and efficiency in data operations.

Security First

Built with robust security measures at its core.

Scalable Design

Horizontal scaling with dynamic node allocation and adaptive load balancing.

Cross-Chain Compatibility

Seamless interoperability with multiple blockchain networks and protocols.

Node Requirements

Hardware Requirements

CPU: 2+ cores
RAM: 4GB minimum
Storage: 50GB SSD minimum
Network: Stable internet connection with minimum 5Mbps up/down

Software Requirements

Operating System: Ubuntu 20.04+ / macOS 12+ / Windows 10/11
Rust 1.70.0 or higher
Git

Lightweight LLM Support

APACE TESTNET optionally supports running lightweight LLM capabilities. This is an advanced feature that requires additional hardware resources.

Additional Hardware Requirements for LLM

CPU: 6+ cores recommended
RAM: 16GB minimum
Storage: Additional 10GB SSD
GPU: NVIDIA GPU with 6GB+ VRAM (optional, for better performance)
Additional Software: CUDA Toolkit 11.8+ (if using GPU)

LLM Specifications

Model: LLaMA-2 7B v2.0
Version: 2.0.1 (December 2023)
Quantization: 4-bit GPTQ quantization
Memory Usage: ~8GB RAM when active
Disk Space: ~5GB for model files
Response Time: 2-3 seconds for short responses
Context Window: 4096 tokens
Language Support: Multilingual (40+ languages)

Node Setup Guide

Install Rust and Clone Repository

# Install Rust
            curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
            
            # Clone the repository
            git clone https://github.com/Apace-sol/APACE-TESTNET
            cd apace-node

Node Configuration (config/node.toml)

# Basic node configuration
            node_id = "auto"  # Will be automatically generated
            host = "0.0.0.0"  # Listen on all interfaces
            port = 8000
            storage_path = "./data"
            max_connections = 50
            consensus_timeout = 5000  # Milliseconds
            bootstrap_nodes = [
                "testnet.apace.io:8000",
                "testnet2.apace.io:8000"
            ]
            
            # Optional LLM configuration (disabled by default)
            [llm]
            enabled = false  # Set to true to enable LLM features
            model_path = "./models/llama-2-7b-q4.safetensors"
            tokenizer_path = "./models/tokenizer.json"
            max_batch_size = 4
            use_gpu = false  # Set to true if using GPU

Start Your Node

# For basic node (without LLM):
            # Build and start basic node
            cargo build --release
            ./target/release/apace-node --config config/node.toml
            
            # For node with LLM support (optional):
            # First, download LLM model files (about 5GB)
            ./scripts/download_models.sh
            
            # Build with GPU support
            cargo build --release --features llm,cuda
            
            # Or build with CPU-only LLM support
            cargo build --release --features llm
            
            # Start node with LLM enabled (modify config.toml first)
            ./target/release/apace-node --config config/node.toml

Performance Optimization

Basic Node Optimization

Monitor disk space usage
Adjust network bandwidth usage
Configure max_connections based on available resources

LLM Optimization

Start with CPU-only mode first
Enable GPU support if available
Adjust batch size based on available memory
Consider running during off-peak hours

Troubleshooting

Basic Node Issues

Check network connectivity
Verify bootstrap nodes are accessible
Ensure port 8000 is open

LLM Issues (if enabled)

Insufficient memory: Disable LLM feature or upgrade RAM
Slow response: Consider enabling GPU support
High CPU usage: Reduce batch size or disable LLM

Diagnostic Command

# Run node diagnostics
                ./apace-node diagnose
                # This command will check system compatibility
                # and report potential configuration issues

Support

Technical Support

Check the Documentation
Open an issue on GitHub