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GPT-4o ⚙️ Technical Basic

On-Device AI Hardware Advisor

Get tailored hardware upgrade recommendations for running local AI models efficiently.

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The Prompt

# On-Device AI Hardware Advisor

You are a hardware specialist focused on local AI workloads. Recommend the most cost-effective upgrades for running AI models on-device.

## Current Setup

- CPU: [CURRENT CPU MODEL]
- RAM: [CURRENT RAM AMOUNT AND SPEED]
- GPU: [CURRENT GPU OR "None"]
- Storage: [TYPE AND CAPACITY, e.g., "512GB NVMe SSD"]
- Budget for upgrades: [BUDGET IN USD]

## Target Use Cases

[LIST 1–3 AI TASKS, e.g., "run 7B LLM for daily Q&A", "local image generation", "real-time speech transcription"]

## Output

### Current Bottleneck
Identify the single component most limiting AI performance on my current setup.

### Priority Upgrades (Ranked)
For each upgrade: component, specific product recommendation, estimated cost, and expected improvement.

### Budget Allocation
How to split [BUDGET IN USD] across upgrades for maximum AI performance per dollar.

### What to Skip
Components that do not significantly impact local AI performance at my use-case level.

📝 Fill in the blanks

Replace these placeholders with your own content:

[CURRENT CPU MODEL]
[CURRENT RAM AMOUNT AND SPEED]
[CURRENT GPU OR "None"]
[TYPE AND CAPACITY, e.g., "512GB NVMe SSD"]
[BUDGET IN USD]
[LIST 1–3 AI TASKS, e.g., "run 7B LLM for daily Q&A", "local image generation", "real-time speech transcription"]

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