Build Your Own Private AI Lab Track/Why Run AI Locally (and What Hardware You Actually Need)
Build Your Own Private AI Lab Track
Module 1 of 8

Why Run AI Locally (and What Hardware You Actually Need)

The real case for local AI: privacy, zero per-token cost, no rate limits, full control. The three hardware paths (NVIDIA as the default, Apple Silicon, AMD), the memory-and-bandwidth math that decides everything, and named build recommendations for June 2026.

18 min read

What You'll Learn

  • Make the honest case for local AI on privacy, cost, control, and reliability
  • Compare the three hardware paths (NVIDIA, Apple Silicon, AMD unified memory) and understand why NVIDIA is the default
  • Use the memory-and-bandwidth math that decides which models you can run and how fast
  • Pick a named hardware build for your budget with realistic June 2026 prices

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