ComputeAtlas

4 GPU H100 AI SaaS backend Rackmount Build

This rackmount system pairs 4x H100 80GB with AMD Threadripper PRO 7995WX for multi-tenant inference APIs with queue isolation and sustained concurrency. It uses front-to-back high-static-pressure airflow in a 4U rackmount enclosure and is positioned in the enterprise planning tier, intended for dedicated equipment rooms or datacenter rows.

Use case

AI SaaS backend

Example system budget

$130,600 planning estimate (not live pricing).

Hardware breakdown

  • GPU: 4x H100 80GB
  • CPU: AMD Threadripper PRO 7995WX
  • RAM: 1.5TB DDR5 ECC
  • Storage: 8TB Micron 9550 NVMe + 16TB enterprise SSD tier
  • PSU: 2x 3200W 80+ Titanium

What This Build Includes

Includes:

  • GPU(s)
  • CPU
  • RAM
  • Storage
  • Motherboard

Not Included:

  • Case / chassis
  • Cooling system
  • Power cables / adapters
  • Peripherals

Deployment Notes

  • High-power multi-GPU systems require proper airflow
  • Ensure PSU headroom for GPU transient spikes
  • Verify motherboard PCIe lane and spacing compatibility
  • Suitable for workstation or rack environments
Build this system

Current component pricing is calculated in the builder using live Amazon data when available, with safe estimated hardware budget fallbacks when live data is unavailable.