CPU vs GPU for Local AI: What Should You Actually Buy?

When a CPU-Only Mini PC Is Enough

• Running 7B–8B models
• Single-user environment
• Light lab + assistant workflows
• Budget under $1000

Modern Ryzen mini PCs with 32–64GB RAM handle most self-hosted workflows comfortably.

When You Need a GPU

• Large context models
• Multi-user environment
• Heavy inference workloads
• Speed-critical workflows

A GPU dramatically improves inference speed and supports larger models, but increases cost and power usage.

Real-World Recommendation

Start CPU-only. Upgrade to GPU only if your workflow demands it. Most builders overestimate their needs.

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