1 GPU RTX 6000 Ada LLM inference Rackmount Build

This rackmount system pairs 1x RTX 6000 Ada 48GB with EPYC 9374F for low-latency token generation for private copilots and internal assistants. It uses front-to-back high-static-pressure airflow in a 4U rackmount enclosure and is positioned in the under-10k planning tier, intended for dedicated equipment rooms or datacenter rows.

Use case

LLM inference

Example system budget

$8,400 modeled planning estimate.

Source: ComputeAtlas generated-build budget model (generated-build-budget-v1) • freshness: model-derived • uncertainty: high • not live. Heuristic planning budget derived from ComputeAtlas build-tier formulas. It is not a summed retailer cart, seller quote, or live market observation.

Hardware breakdown

• GPU: 1x RTX 6000 Ada 48GB
• CPU: EPYC 9374F
• RAM: Kingston Server Premier DDR5-5600 ECC RDIMM 128GB (4x32GB KSM56R46BD8-32HA)
• Motherboard: Supermicro H13SSL-NT
• Storage: 1x WD Black SN850X 2TB NVMe + 8TB enterprise SSD tier
• PSU: Corsair HX1200 (1200W Platinum)

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