Case Study · AI

Local LLM workstation, $12k budget.

Independent ML researcher running a mix of inference and fine-tuning workloads from a home office.

01

Client type

Independent ML researcher / consultant.

02

Problem

Needed to run 70B-class quantized models locally without offloading to cloud for every test.

03

Constraints

  • $12k all-in budget
  • Standard 15A residential circuit
  • Home office — noise mattered
  • Linux preferred
04

Recommended approach

Two-GPU configuration sized to VRAM ceiling, high-airflow case, A/B compared against a single-GPU alternative.

05

Outcome

Stable inference performance on target model sizes, quiet enough to share a room, and a documented upgrade path to a third GPU.

06

Lessons learned

VRAM was the real constraint. CPU and RAM choices were comfortably second-order.

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