AI Deployment Cost Calculator
Estimate total monthly AI deployment cost across compute instances, load balancing, storage, and bandwidth.
Inputs
Total Monthly Cost
$1,775.00
Instances Cost
$1,500.00
Step by step
Instances total
3 × $500
= $1500.00
Monthly cost
$1500 + $25 + $100 + $150
= $1775.00
Deployment Cost Breakdown
| Item | Cost |
|---|---|
| — | $1,500.00 |
| — | $25.00 |
| — | $100.00 |
| — | $150.00 |
How it works
Deploying an AI model to production involves more than compute instances alone — load balancers distribute traffic across replicas, storage holds model weights and logs, and bandwidth charges apply to data transferred in and out. This calculator sums all four cost centers into a single monthly total and shows the proportional breakdown, which is useful for right-sizing instance count against expected load.
Formula
monthly_cost = (instances × instance_cost) + load_balancer_cost + storage_cost + bandwidth_cost
- instances
- Number of compute instances
- instance_cost
- Monthly cost per instance
- load_balancer_cost
- Monthly load balancer fee
- storage_cost
- Monthly storage fee
- bandwidth_cost
- Monthly bandwidth fee
Frequently Asked Questions
Should I run multiple instances for redundancy?
Yes, most production deployments run at least 2 instances behind a load balancer for failover and to handle traffic spikes without downtime.
What drives bandwidth cost the most?
Outbound data transfer (responses sent to users, especially large payloads like images or audio) is typically the dominant bandwidth cost, not inbound requests.
Does this include model-serving software licensing?
No — this covers infrastructure only. Add any serving-framework or MLOps platform licensing fees separately.