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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