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PRACTICAL GUIDE

Power and cooling for AI workstations

High-memory GPUs also bring PSU, heat, noise, and chassis requirements.

Decision framework

  1. Choose the exact model and workload.
  2. Select quantization and context target.
  3. Estimate weights plus runtime reserve.
  4. Check software support for the hardware.
  5. Compare local total cost with cloud fallback.

Do not skip

Memory fit is necessary but not sufficient. Verify current runtime documentation, drivers, measured benchmarks, power, cooling, and return policy before purchase.

Run Fit Matcher →