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- Update mining/1_quick-start.md: coordinator URL 8000 → 8011 - Update cli/permission-setup.md: AITBC_COORDINATOR_URL 8000 → 8011 - More documentation files still need port 8000 → 8011 updates
87 lines
2.0 KiB
Markdown
87 lines
2.0 KiB
Markdown
# Miner Quick Start
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**5 minutes** — Register your GPU and start earning AITBC tokens with the enhanced CLI.
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## Prerequisites
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- NVIDIA GPU with 16GB+ VRAM (V100, A100, RTX 3090+)
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- Python 3.10+, CUDA drivers installed
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- 50GB+ storage, stable internet
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## 1. Install & Configure
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```bash
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pip install -e . # from monorepo root
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aitbc config set coordinator_url http://localhost:8011
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export AITBC_API_KEY=your-key
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# Verify installation
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aitbc --version
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aitbc --debug
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```
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## 2. Register & Start
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```bash
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# Enhanced miner registration
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aitbc miner register \
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--name my-gpu \
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--gpu v100 \
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--count 1 \
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--region us-west \
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--price-per-hour 0.05
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# Start accepting jobs
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aitbc miner poll
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```
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## 3. Verify & Monitor
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```bash
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# Enhanced monitoring
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aitbc miner status # GPU status + earnings
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aitbc wallet balance # check token balance
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aitbc monitor dashboard # real-time monitoring
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```
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## 4. Advanced Features
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```bash
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# GPU optimization
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aitbc optimize enable --agent-id my-gpu-agent \
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--mode performance \
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--auto-tune
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# Earnings tracking
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aitbc miner earnings --period daily
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aitbc miner earnings --period weekly
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# Marketplace integration
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aitbc marketplace offer create \
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--miner-id my-gpu \
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--gpu-model "RTX-4090" \
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--gpu-memory "24GB" \
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--price-per-hour "0.05" \
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--models "gpt2,llama" \
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--endpoint "http://localhost:11434"
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```
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## 5. Configuration Management
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```bash
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# Configuration profiles
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aitbc config profiles create mining
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aitbc config profiles set mining gpu_count 4
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aitbc config profiles use mining
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# Performance monitoring
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aitbc monitor metrics --component gpu
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aitbc monitor alerts --type gpu_temperature
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```
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## Next
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- [2_registration.md](./2_registration.md) — Advanced registration options
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- [3_job-management.md](./3_job-management.md) — Job acceptance and completion
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- [5_gpu-setup.md](./5_gpu-setup.md) — GPU driver and CUDA setup
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