ccedbace53
- Delete .aitbc.yaml.example CLI configuration template - Delete .lycheeignore link checker exclusion rules - Delete .nvmrc Node.js version specification - Add advanced search panel with filters for address, amount range, transaction type, time range, and validator - Add analytics dashboard with transaction volume, active addresses, and block time metrics - Add Chart.js integration
2.0 KiB
2.0 KiB
Miner Quick Start
5 minutes — Register your GPU and start earning AITBC tokens with the enhanced CLI.
Prerequisites
- NVIDIA GPU with 16GB+ VRAM (V100, A100, RTX 3090+)
- Python 3.10+, CUDA drivers installed
- 50GB+ storage, stable internet
1. Install & Configure
pip install -e . # from monorepo root
aitbc config set coordinator_url http://localhost:8000
export AITBC_API_KEY=your-key
# Verify installation
aitbc --version
aitbc --debug
2. Register & Start
# Enhanced miner registration
aitbc miner register \
--name my-gpu \
--gpu v100 \
--count 1 \
--region us-west \
--price-per-hour 0.05
# Start accepting jobs
aitbc miner poll
3. Verify & Monitor
# Enhanced monitoring
aitbc miner status # GPU status + earnings
aitbc wallet balance # check token balance
aitbc monitor dashboard # real-time monitoring
4. Advanced Features
# GPU optimization
aitbc optimize enable --agent-id my-gpu-agent \
--mode performance \
--auto-tune
# Earnings tracking
aitbc miner earnings --period daily
aitbc miner earnings --period weekly
# Marketplace integration
aitbc marketplace offer create \
--miner-id my-gpu \
--gpu-model "RTX-4090" \
--gpu-memory "24GB" \
--price-per-hour "0.05" \
--models "gpt2,llama" \
--endpoint "http://localhost:11434"
5. Configuration Management
# Configuration profiles
aitbc config profiles create mining
aitbc config profiles set mining gpu_count 4
aitbc config profiles use mining
# Performance monitoring
aitbc monitor metrics --component gpu
aitbc monitor alerts --type gpu_temperature
Next
- 2_registration.md — Advanced registration options
- 3_job-management.md — Job acceptance and completion
- 5_gpu-setup.md — GPU driver and CUDA setup