Financial Analysis of AI Deployment
An interactive tool to compare costs and performance between buying hardware, renting server power, or using an API.
Cost Table for API Models
Compare costs between different API models based on your scenario. Click column headers to sort.
GPU Server Rental Analysis
Compare and analyze costs and performance for renting dedicated GPU hardware.
GPU Server Prices
Hourly prices for renting dedicated GPU servers from various providers. Use the controls to search and sort.
GPU Purchase Analysis
Compare and analyze costs and performance for purchasing dedicated GPU hardware.
GPU Purchase Prices
Recommended MSRP prices for various graphics cards and enterprise servers.
Overall Investment Analysis
Analyze the cost of running a specific AI model by buying or renting hardware.
1. Define your AI model
2. Results & Cost Estimates
3.3 GB
$110
$0.017 / timme
Break-Even Point
It becomes more cost-effective to BUY the hardware instead of renting it 24/7 after about 276 days (0.76 years).
3. Analysis: Budget → Performance
Option: Buy
48.2 GB
This corresponds to a model size of:
| Precision | Parameters (Billions) |
|---|---|
| INT4 (0.5 byte) | 103.6B |
| INT8 (1 byte) | 51.8B |
| FP16/BF16 (2 byte) | 25.9B |
| FP32 (4 byte) | 12.9B |
Option: Rent 24/7
40.9 GB
This corresponds to a model size of:
| Precision | Parameters (Billions) |
|---|---|
| INT4 (0.5 byte) | 87.8B |
| INT8 (1 byte) | 43.9B |
| FP16/BF16 (2 byte) | 22.0B |
| FP32 (4 byte) | 11.0B |
The Golden Analysis: Profitability Maps
These heatmaps provide an overview of how ''investment budget'' and ''daily token volume'' interact to affect the break-even time. Use the controls to define your analysis area and identify the most profitable zones for your specific situation.