Skip to content
CloudPlay
  • Pages
    • Project Overview
      • Product roadmap
    • Documentation
      • Transformation
      • icon picker
        Server Requirements
      • System Requirements
      • Own Servers vs Cloud Rental
      • Design Related
      • Cloud GPUs
      • AWS Cloud Gaming
      • Harvester Integration Node
      • Operational Costs
    • Team
    • Tasks
    • Funding
    • Funding Cadence
      • Month 1
      • Month 2
      • Month 3
      • Month 4
      • Month 5
      • Month 6
      • Month 7
      • Month 8
      • Month 9
    • Updates
    • Discussions
CloudPlay
/
/
Server Requirements
Share
Explore

Server Requirements

Hardware Requirements

CPU:
Minimum: Intel Xeon E-series or AMD EPYC equivalent.
Recommended: Intel Xeon Scalable (Ice Lake) or AMD EPYC 7003 series.
GPU:
Minimum: NVIDIA Tesla T4 or AMD Radeon Pro equivalent.
Recommended: NVIDIA A100 Tensor Core GPUs for AI-enhanced streaming.
Memory:
Minimum: 16 GB RAM per server.
Recommended: 64 GB RAM or more for high-concurrency workloads.
Storage:
Minimum: SSDs with 1 TB capacity.
Recommended: NVMe drives with 2 TB capacity or more for low-latency data access.
Network:
Minimum: 1 Gbps Ethernet.
Recommended: 10 Gbps Ethernet with redundant connections.

Software Requirements

Operating System:
Ubuntu Server 22.04 LTS or equivalent Linux distribution.
Containerization:
Docker Engine and Kubernetes for orchestration.
Database:
PostgreSQL (via Supabase) with real-time extensions.
Game Streaming Software:
RAYWAN Host and Client modules.
Monitoring and Analytics:
Prometheus and Grafana for server performance monitoring.
Security Tools:
OpenSSL for encryption.
Fail2Ban and SELinux for server hardening.

Deployment Recommendations

Deploy servers in multiple geographic regions to minimize latency.
Use load balancers to distribute traffic effectively.
Implement auto-scaling to handle peak loads dynamically.
Gallery
 
Want to print your doc?
This is not the way.
Try clicking the ⋯ next to your doc name or using a keyboard shortcut (
CtrlP
) instead.