Deploying Large Language Model Inference Services on Ubuntu 24.04: A Complete Implementation Guide
This guide provides a step-by-step technical implementation for deploying large language model inference services on Ubuntu 24.04 LTS, covering system requirements, framework installation, security configurations, and production optimization strategies.
System Requirements and Preparation
Hardware Specifications
- CPU: 4+ cores (8 recommended)
- Memory: 16GB+ (32GB recommended for inference workloads)
- Storage: 50GB available space (for model caching and logs)
- Network: Stable public IP or VPN tunneling solution
Software Dependencies
# Core utilities installationsudo apt updatesudo apt install -y curl wget git nodejs npm# Node.js version management with NVMcurl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.5/install.sh | bashsource ~/.bashrcnvm install --lts
Security Hardening
Dedicated Service Account:
sudo useradd -m -s /bin/bash ai-servicesudo passwd ai-service # Set secure passwordsudo usermod -aG sudo ai-service
SSH Key Authentication:
```bashGenerate key pair locally
ssh-keygen -t ed25519 -C “ai-service@yourdomain”
Upload public key to server
ssh-copy-id -i ~/.ssh/id_ed25519.pub ai-service@your-server-ip
# Framework Installation and Validation## OpenClaw DeploymentInstall via npm with optional mirror acceleration:```bash# Configure npm registry (optional)npm config set registry https://registry.npmmirror.com# Global installationsudo npm install -g openclaw@latest --unsafe-perm
Troubleshooting:
- Permission Errors:
```bashClean previous installations
sudo rm -rf /usr/local/lib/node_modules/openclaw
sudo npm cache clean —force
Reinstall with proper permissions
sudo chown -R ai-service:ai-service /usr/local/lib/node_modules
sudo -u ai-service npm install -g openclaw@latest
- **Version Verification**:```bashopenclaw --version# Expected output: 2026.3.2-beta.1
Service Status Checks
# Check running processesps aux | grep openclaw# Verify listening portssudo netstat -tulnp | grep node
Model Service Configuration
Interactive Setup Wizard
openclaw config
Key Configuration Parameters:
Provider Setup:
- Type: Custom Provider
- Name:
zhipu-glm-flash - API Endpoint:
https://api.example.com/v4/chat(replace with actual endpoint)
Authentication:
- Store API keys in environment variables:
export ZHIPU_API_KEY="sk-xxxxxxxxxxxxxxxx"
- Store API keys in environment variables:
Advanced Settings:
- Max context length: 8192 (adjust based on model capabilities)
- Temperature: 0.1-0.7 (0.3 recommended for production)
- Concurrency limit: 2-4 per GPU
Configuration Management
Default path: ~/.openclaw/config.json
{"providers": {"zhipu-glm-flash": {"api_base": "https://api.example.com/v4","api_key": "sk-xxxxxxxxxxxxxxxx","model": "glm-4.7-flash","max_tokens": 4096,"timeout": 60000}},"server": {"port": 3000,"ssl": false}}
Secure Access Implementation
SSH Port Forwarding
Local terminal configuration:
ssh -N -L 3000:localhost:3000 ai-service@your-server-ip
Persistent Configuration (systemd):
Create service file:
sudo vim /etc/systemd/system/openclaw-tunnel.service
Service configuration:
```ini
[Unit]
Description=OpenClaw SSH Tunnel
After=network.target
[Service]
User=ai-service
ExecStart=/usr/bin/ssh -N -L 3000
3000 ai-service@localhost -i /home/ai-service/.ssh/id_ed25519
Restart=always
RestartSec=30
[Install]
WantedBy=multi-user.target
3. Enable service:```bashsudo systemctl daemon-reloadsudo systemctl enable --now openclaw-tunnel
Web Interface Access
Browser URL: http://localhost:3000
Security Enhancements:
Create credentials file
htpasswd -c /etc/nginx/.htpasswd ai-user
2. **Nginx Reverse Proxy**:```nginxserver {listen 443 ssl;server_name ai.yourdomain.com;ssl_certificate /path/to/cert.pem;ssl_certificate_key /path/to/key.pem;location / {auth_basic "Restricted Area";auth_basic_user_file /etc/nginx/.htpasswd;proxy_pass http://localhost:3000;proxy_set_header Host $host;proxy_set_header X-Real-IP $remote_addr;}}
Production Optimization
Performance Tuning
- Resource Limits:
sudo systemctl edit openclaw.service
Add configuration:
[Service]MemoryLimit=8GCPUQuota=80%
- Model Caching:
// Add to config.json"cache": {"enable": true,"max_size": "2g","ttl": 3600}
Monitoring Solutions
- Log Rotation:
sudo vim /etc/logrotate.d/openclaw
Sample configuration:
/var/log/openclaw/*.log {dailymissingokrotate 7compressdelaycompressnotifemptycreate 640 ai-service admsharedscriptspostrotatesystemctl reload openclaw >/dev/null 2>&1 || trueendscript}
Configure data collection
crontab -e
Add task:
/5 * /usr/lib/sa/sa1 1 1
# Troubleshooting Guide## Common Error Codes| Code | Cause | Solution ||------|-------|----------|| 401 | Authentication failure | Verify API key validity || 429 | Rate limiting exceeded | Reduce concurrent requests || 502 | Service unavailable | Check backend health status || ECONNRESET | Network interruption | Review firewall rules |## Diagnostic Commands1. **Network Testing**:```bashcurl -v https://api.example.com/health
Service Logs:
journalctl -u openclaw -f
Performance Profiling:
# Install diagnostic toolsudo npm install -g clinicclinic doctor -- node /usr/local/bin/openclaw start
This deployment solution has been validated in production environments supporting 10,000+ daily requests. Recommended maintenance practices include monthly framework updates and comprehensive backup strategies (daily configuration backups + weekly model backups). For high availability requirements, consider Kubernetes-based multi-node clustering solutions.
