AI Deployment
Cost Calculator

Compare monthly AI infrastructure costs across major cloud providers.

Cost Comparison

Compute Estimation

Storage + API Pricing

Provider Breakdown

Scenario

Estimated LLM Cost (Monthly)

Usage Level

Region

GPU

Instance (Baseline) – AWS/Azure/GCP/OVHcloud

RAM (GB)

CPU (vCPU)

Storage (GB) Per Instance

Result:

Provider	Compute	Storage	LLM	Total / Month	GHG Emissions (kgCO₂e)

Disclaimer & Assumptions:

Pricing: Reflects typical on-demand cloud rates (2024–2025). Actual costs vary by region, traffic patterns, and autoscaling.
LLM Costs: Assumes ~10M tokens/month (~58,823 queries at 170 tokens/query). Actual usage may differ significantly.
Emissions: Calculated using CPU (Idle: 5W/vCPU, Max: 15W/vCPU), GPU when applicable (T4: 30-70W, A10G: 20-150W), provider-specific PUE (AWS: 1.135, Azure: 1.185, GCP: 1.10), running 24/7 for 30 days. All LLM emission estimates were done for an average prompt of about 170 output tokens used for “write an email” prompt message.
Utilization: Light = 1 instance, Medium = 2 instances, Heavy = 3 instances based on selected usage level.
Important: Use for planning and comparison only — not exact billing or carbon reporting.

AI DeploymentCost Calculator