GPU Service Renaming - Complete: ✅ GPU SERVICE RENAMED: Simplified GPU service naming for consistency - systemd/aitbc-multimodal-gpu.service: Renamed to aitbc-gpu.service - setup.sh: Updated all references to use aitbc-gpu.service - Documentation: Updated all references to use new service name - Reason: Cleaner, more intuitive service naming ✅ RENAMING RATIONALE: 🎯 Simplification: Cleaner, more intuitive service name 📝 Clarity: Removed 'multimodal-' prefix for simpler naming 🔧 Consistency: Matches standard service naming patterns 🎨 Standardization: All services follow aitbc-{name}.service pattern ✅ SERVICE MAPPING: 🚀 aitbc-multimodal-gpu.service → aitbc-gpu.service 📁 Configuration: No service.d directory to rename ⚙️ Functionality: Preserved all GPU service capabilities ✅ SETUP SCRIPT UPDATES: 📦 install_services(): Updated services array with new name 🚀 start_services(): Updated systemctl start command 🔄 setup_autostart(): Updated systemctl enable command 📋 Status Check: Updated systemctl is-active check ✅ DOCUMENTATION UPDATES: 📚 documented_AITBC_Enhanced_Services__8010-8016__Implementation.md: Updated service path 📚 ENHANCED_SERVICES_IMPLEMENTATION_GUIDE.md: Updated all systemctl commands 📋 Service management: Updated manage_services.sh commands 🎯 Monitoring: Updated journalctl and status commands ✅ COMPLETE SERVICE LIST (FINAL): 🔧 aitbc-wallet.service: Wallet management 🔧 aitbc-coordinator-api.service: Coordinator API 🔧 aitbc-exchange-api.service: Exchange API 🔧 aitbc-blockchain-node.service: Blockchain node 🔧 aitbc-blockchain-rpc.service: Blockchain RPC 🔧 aitbc-gpu.service: GPU multimodal processing (RENAMED) 🔧 aitbc-marketplace.service: Marketplace 🔧 aitbc-openclaw.service: OpenClaw orchestration 🔧 aitbc-ai.service: AI capabilities 🔧 aitbc-learning.service: Learning capabilities ✅ BENEFITS: ✅ Cleaner Naming: More intuitive and shorter service name ✅ Consistent Pattern: All services follow same naming convention ✅ Easier Management: Simpler systemctl commands ✅ Better UX: Easier to remember and type service name ✅ Maintainability: Clearer service identification ✅ CODEBASE CONSISTENCY: 🔧 All systemctl commands: Updated to use new service name 📋 All service arrays: Updated in setup script 📚 All documentation: Updated to reference new name 🎯 All references: Consistent naming throughout codebase RESULT: Successfully renamed GPU service to cleaner naming convention, providing more intuitive and consistent service management across the entire AITBC ecosystem with standardized naming patterns.
9.3 KiB
9.3 KiB
AITBC Enhanced Services Implementation Guide
🚀 Overview
This guide provides step-by-step instructions for implementing and deploying the AITBC Enhanced Services, including 7 new services running on ports 8010-8017 with systemd integration.
📋 Prerequisites
System Requirements
- Operating System: Debian 13 (Trixie) or Ubuntu 20.04+
- Python: 3.13+ with virtual environment
- GPU: NVIDIA GPU with CUDA 11.0+ (for GPU services)
- Memory: 8GB+ RAM minimum, 16GB+ recommended
- Storage: 10GB+ free disk space
Dependencies
# System dependencies
sudo apt update
sudo apt install -y python3.13 python3.13-venv python3.13-dev
sudo apt install -y nginx postgresql redis-server
sudo apt install -y nvidia-driver-535 nvidia-cuda-toolkit
# Python dependencies
python3.13 -m venv /opt/aitbc/.venv
source /opt/aitbc/.venv/bin/activate
pip install -r requirements.txt
🛠️ Installation Steps
1. Create AITBC User and Directories
# Create AITBC user
sudo useradd -r -s /bin/false -d /opt/aitbc aitbc
# Create directories
sudo mkdir -p /opt/aitbc/{apps,logs,data,models}
sudo mkdir -p /opt/aitbc/apps/coordinator-api
# Set permissions
sudo chown -R aitbc:aitbc /opt/aitbc
sudo chmod 755 /opt/aitbc
2. Deploy Application Code
# Copy application files
sudo cp -r apps/coordinator-api/* /opt/aitbc/apps/coordinator-api/
sudo cp systemd/*.service /etc/systemd/system/
# Set permissions
sudo chown -R aitbc:aitbc /opt/aitbc
sudo chmod +x /opt/aitbc/apps/coordinator-api/*.sh
3. Install Python Dependencies
# Activate virtual environment
source /opt/aitbc/.venv/bin/activate
# Install enhanced services dependencies
cd /opt/aitbc/apps/coordinator-api
pip install -r requirements.txt
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
4. Configure Services
# Create environment file
sudo tee /opt/aitbc/.env > /dev/null <<EOF
PYTHONPATH=/opt/aitbc/apps/coordinator-api/src
LOG_LEVEL=INFO
DATABASE_URL=postgresql://aitbc:password@localhost:5432/aitbc
REDIS_URL=redis://localhost:6379/0
GPU_ENABLED=true
CUDA_VISIBLE_DEVICES=0
EOF
# Set permissions
sudo chown aitbc:aitbc /opt/aitbc/.env
sudo chmod 600 /opt/aitbc/.env
5. Setup Database
# Create database user and database
sudo -u postgres createuser aitbc
sudo -u postgres createdb aitbc
sudo -u postgres psql -c "ALTER USER aitbc PASSWORD 'password';"
# Run migrations
cd /opt/aitbc/apps/coordinator-api
source /opt/aitbc/.venv/bin/activate
python -m alembic upgrade head
🚀 Deployment
1. Deploy Enhanced Services
cd /opt/aitbc/apps/coordinator-api
./deploy_services.sh
2. Enable Services
# Enable all enhanced services
./manage_services.sh enable
# Start all enhanced services
./manage_services.sh start
3. Verify Deployment
# Check service status
./check_services.sh
# Check individual service logs
./manage_services.sh logs aitbc-multimodal
./manage_services.sh logs aitbc-gpu
📊 Service Details
Enhanced Services Overview
| Service | Port | Description | Resources | Status |
|---|---|---|---|---|
| Multi-Modal Agent | 8010 | Text, image, audio, video processing | 2GB RAM, 200% CPU | ✅ |
| GPU Multi-Modal | 8011 | CUDA-optimized attention mechanisms | 4GB RAM, 300% CPU | ✅ |
| Modality Optimization | 8012 | Specialized optimization strategies | 1GB RAM, 150% CPU | ✅ |
| Adaptive Learning | 8013 | Reinforcement learning frameworks | 3GB RAM, 250% CPU | ✅ |
| Enhanced Marketplace | 8014 | Royalties, licensing, verification | 2GB RAM, 200% CPU | ✅ |
| OpenClaw Enhanced | 8015 | Agent orchestration, edge computing | 2GB RAM, 200% CPU | ✅ |
| Web UI Service | 8016 | Web interface for all services | 1GB RAM, 100% CPU | ✅ |
| Geographic Load Balancer | 8017 | Geographic distribution | 1GB RAM, 100% CPU | ✅ |
Health Check Endpoints
# Check all services
curl http://localhost:8010/health # Multi-Modal
curl http://localhost:8011/health # GPU Multi-Modal
curl http://localhost:8012/health # Modality Optimization
curl http://localhost:8013/health # Adaptive Learning
curl http://localhost:8014/health # Enhanced Marketplace
curl http://localhost:8015/health # OpenClaw Enhanced
curl http://localhost:8016/health # Web UI Service
curl http://localhost:8017/health # Geographic Load Balancer
🧪 Testing
1. Client-to-Miner Workflow Demo
cd /opt/aitbc/apps/coordinator-api
source /opt/aitbc/.venv/bin/activate
python demo_client_miner_workflow.py
2. Multi-Modal Processing Test
# Test text processing
curl -X POST http://localhost:8010/process \
-H "Content-Type: application/json" \
-d '{"modality": "text", "input": "Hello AITBC!"}'
# Test image processing
curl -X POST http://localhost:8010/process \
-H "Content-Type: application/json" \
-d '{"modality": "image", "input": "base64_encoded_image"}'
3. GPU Performance Test
# Test GPU multi-modal service
curl -X POST http://localhost:8011/process \
-H "Content-Type: application/json" \
-d '{"modality": "text", "input": "GPU accelerated test", "use_gpu": true}'
🔧 Management
Service Management Commands
# Start all services
./manage_services.sh start
# Stop all services
./manage_services.sh stop
# Restart specific service
./manage_services.sh restart aitbc-multimodal
# Check service status
./manage_services.sh status
# View service logs
./manage_services.sh logs aitbc-gpu
# Enable auto-start
./manage_services.sh enable
# Disable auto-start
./manage_services.sh disable
Monitoring
# Check all services status
./check_services.sh
# Monitor GPU usage
nvidia-smi
# Check system resources
htop
df -h
🔒 Security
Service Security Features
- Process Isolation: Each service runs as non-root user
- Resource Limits: Memory and CPU quotas enforced
- Network Isolation: Services bind to localhost only
- File System Protection: Read-only system directories
- Temporary File Isolation: Private tmp directories
Security Best Practices
# Check service permissions
systemctl status aitbc-multimodal.service
# Audit service logs
sudo journalctl -u aitbc-gpu.service --since "1 hour ago"
# Monitor resource usage
systemctl status aitbc-gpu.service --no-pager
🐛 Troubleshooting
Common Issues
1. Service Won't Start
# Check service logs
./manage_services.sh logs service-name
# Check configuration
sudo journalctl -u service-name.service -n 50
# Verify dependencies
systemctl status postgresql redis-server
2. GPU Service Issues
# Check GPU availability
nvidia-smi
# Check CUDA installation
nvcc --version
# Verify GPU access
ls -la /dev/nvidia*
3. Port Conflicts
# Check port usage
netstat -tuln | grep :800
# Kill conflicting processes
sudo fuser -k 8010/tcp
4. Memory Issues
# Check memory usage
free -h
# Monitor service memory
systemctl status aitbc-learning.service --no-pager
# Adjust memory limits
systemctl edit aitbc-learning.service
Performance Optimization
1. GPU Optimization
# Set GPU performance mode
sudo nvidia-smi -pm 1
# Optimize CUDA memory
export CUDA_CACHE_DISABLE=1
export CUDA_LAUNCH_BLOCKING=1
2. Service Tuning
# Adjust service resources
systemctl edit aitbc-multimodal.service
# Add:
# [Service]
# MemoryMax=4G
# CPUQuota=300%
📈 Performance Metrics
Expected Performance
- Multi-Modal Processing: 0.08s average response time
- GPU Acceleration: 220x speedup for supported operations
- Concurrent Requests: 100+ concurrent requests
- Accuracy: 94%+ for standard benchmarks
Monitoring Metrics
# Response time metrics
curl -w "@curl-format.txt" -o /dev/null -s http://localhost:8010/health
# Throughput testing
ab -n 1000 -c 10 http://localhost:8010/health
# GPU utilization
nvidia-smi dmon -s u
🔄 Updates and Maintenance
Service Updates
# Update application code
sudo cp -r apps/coordinator-api/* /opt/aitbc/apps/coordinator-api/
# Restart services
./manage_services.sh restart
# Verify update
./check_services.sh
Backup and Recovery
# Backup configuration
sudo tar -czf aitbc-backup-$(date +%Y%m%d).tar.gz /opt/aitbc
# Backup database
sudo -u postgres pg_dump aitbc > aitbc-db-backup.sql
# Restore from backup
sudo tar -xzf aitbc-backup-YYYYMMDD.tar.gz -C /
sudo -u postgres psql aitbc < aitbc-db-backup.sql
📞 Support
Getting Help
- Documentation: ../
- Issues: GitHub Issues
- Logs:
./manage_services.sh logs service-name - Status:
./check_services.sh
Emergency Procedures
# Emergency stop all services
./manage_services.sh stop
# Emergency restart
systemctl daemon-reload
./manage_services.sh start
# Check system status
systemctl status --no-pager -l
🎉 Success Criteria
Your enhanced services deployment is successful when:
- ✅ All 6 services are running and healthy
- ✅ Health endpoints return 200 OK
- ✅ Client-to-miner workflow completes in 0.08s
- ✅ GPU services utilize CUDA effectively
- ✅ Services auto-restart on failure
- ✅ Logs show normal operation
- ✅ Performance benchmarks are met
Congratulations! You now have a fully operational AITBC Enhanced Services deployment! 🚀