16. When NOT to Use Local AI

The Limits Are Real

Local AI isn't a universal replacement for cloud AI. Understanding when NOT to use it is as important as knowing when to use it.

Scenario 1: You Need Real-Time Information

Local models have a knowledge cutoff. Llama 3.2's training ended in mid-2024. It doesn't know what happened last week.

Don't ask:

• "What's the weather in Tokyo right now?"
• "Who won the election yesterday?"
• "What's the current stock price of Apple?"

Cloud alternative: Search, or ask a cloud model with web access.

Scenario 2: You Need the Best Possible Quality

A local 7B model is not GPT-4o. For complex reasoning, advanced analysis, or nuanced writing, cloud models are still ahead.

Don't ask:

• "Analyze this philosophical argument and identify all logical fallacies"
• "Review this research paper and identify methodology weaknesses"
• "Write a novel chapter with complex character development"

Cloud alternative: For high-stakes creative or analytical work, the quality gap matters.

Scenario 3: Your Hardware Can't Handle It

If you're on a machine with 8GB RAM and integrated graphics, trying to run a large model will be painful.

Don't do:

• Run 70B models on CPU-only machines
• Expect real-time conversation with large models on minimal hardware

Instead: Use small, quantized models appropriate to your hardware, or accept that cloud is more practical for interactive use.

Scenario 4: You Need Image Understanding

Most local text models can't see images. Some multimodal models exist (Llama 3.2 Vision), but they require significant resources.

Don't ask:

• "What does this chart show?"
• "Describe this image"
• "Read the text in this screenshot"

Cloud alternative: Use Claude, GPT-4V, or similar for image understanding.

Scenario 5: You're in a Hurry

If you need an answer in seconds and your local model takes 30 seconds per response, the delay matters.

Don't do:

• Use slow local models for time-sensitive questions
• Run heavy models when you need quick turnaround

Instead: Cloud for quick tasks, local for deep work.

Scenario 6: Legal or Regulatory Compliance

For regulated industries (healthcare, finance, legal), using third-party services may have specific requirements. Some compliance frameworks require data to stay on-premises.

Don't assume: Local AI automatically complies with your industry regulations.

Instead: Check with your compliance team. Local helps but doesn't guarantee compliance.