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Hardware Recommendations

Optimal hardware configurations for running OpenClaw skills

Minimum Requirements

🖥️ Basic Development

CPU: 4 cores, 3.0GHz+ (Intel i5/AMD Ryzen 5 or better)
RAM: 16GB minimum, 32GB recommended
Storage: 20GB SSD
Network: Stable internet connection

Recommended Configurations by Use Case

🌐 Web Scraping & Data Processing

Budget Build

AMD Ryzen 5 5600X
32GB DDR4-3200
512GB NVMe SSD
Ubuntu 22.04 LTS

~$800 USD

Performance Build

AMD Ryzen 9 7950X
64GB DDR5-6000
1TB NVMe SSD (PCIe 4.0)
Ubuntu 22.04 LTS

~$1,500 USD

🤖 AI & Machine Learning

🎯 For Heavy AI Workloads

GPU Options:

NVIDIA RTX 4060 Ti (16GB) - ~$1,000
NVIDIA RTX 4090 (24GB) - ~$2,000
NVIDIA A100 (40GB) - ~$15,000

RAM Recommendations:

32GB minimum
64GB recommended for multiple agents
128GB for production workloads

☁️ Cloud Alternatives

☁️ Cloud Platforms

Don't want to maintain hardware? Consider these options:

RunPod - GPU cloud from $0.23/hour
Vast.ai - Cheap GPU instances
AWS EC2 - g4ad instances for GPU workloads
Google Cloud Platform - Custom VMs

Operating System Recommendations

OS	Pros	Cons	Use Case
Ubuntu 22.04 LTS	Best OpenClaw support, large community	Systemd overhead	✅ Recommended
Arch Linux	Rolling release, very up-to-date	Steeper learning curve	Advanced users
macOS	Excellent UI, Unix-based	Hardware locked, expensive	Development work

Network Requirements

🌐 Important for Cloud Skills

Minimum: 100 Mbps download, 10 Mbps upload
Recommended: 1 Gbps fiber connection
Low latency: 50ms ping to major cloud services

Storage Recommendations

Primary: NVMe SSD (PCIe 4.0 for best performance)
Secondary: SATA SSD or HDD for data storage
Backup: External SSD or cloud backup
RAID: Consider RAID 1 for important data

💡 Pro Tips

RAM is more important than CPU speed for most AI workloads
Invest in quality cooling to prevent thermal throttling
Use Docker containers for skill isolation
Monitor resource usage to identify bottlenecks