Build sheet v2.1

Dual-GPU AI / ML workstation

Built for one person’s actual workload.

Specified from the training job backwards: memory first, then GPU bandwidth, then everything else. Quiet under sustained load, clean enough to service in ten minutes.

gpu 0gpu 1cpu / blocknvme ×2psuintakefront-to-back airflow · positive pressure

2×

GPUs, full x16 lanes

128 GB

ECC memory

34 dBA

at 1 m, full load

24 h

burn-in before handover

Thermal validation · 60 min sustained load

34 dBA at 1 m
40°60°80°0 min60 min

cpu · plateau 76° gpu · plateau 71°

Included with every build

  • Assembly and cabling plan, photographed
  • 24-hour burn-in under a real training job
  • Thermal and acoustic report
  • Linux + CUDA + drivers configured
  • Documentation to service it yourself
  • Two-year build warranty, parts by manufacturer
Case study

Concept build by Kernel&Terminal — demo data, not a real business