Estimate the total cost of deploying an AI model to production infrastructure.
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.
monthly_cost = (instances × instance_cost) + load_balancer_cost + storage_cost + bandwidth_cost
Yes, most production deployments run at least 2 instances behind a load balancer for failover and to handle traffic spikes without downtime.
Outbound data transfer (responses sent to users, especially large payloads like images or audio) is typically the dominant bandwidth cost, not inbound requests.
No — this covers infrastructure only. Add any serving-framework or MLOps platform licensing fees separately.