Table of Contents

• Data Snapshot Date
• Sizing Local Hardware with llmfit
• Benchmark Protocol Before You Buy
• Fourteen Comparable Hardware Configurations
• What Actually Fits: Named Models
• Which Local Machine for Which Usage
• Serving Engine Tuning: vLLM in Production
• Coding Agent Setup: Apple Silicon with MLX
• Cloud GPU Rental Pricing
• One-Year Cost Projections
• Power Consumption: Watts, Watt-Hours, Joules per Token
• Energy Efficiency by Model Architecture
• Cloud API Throughput: Claude vs GPT-5.6
• Why Cloud and Local Tokens/Sec Are Not Comparable
• Decision Diagram
• Decision Framework
• Sizing Self-Hosted Inference for a Team
• Switching Providers at the CLI Level