Calculator
AI Deployment Capacity Calculator
Estimate model-server replica count and approximate monthly compute cost for peak token throughput and an allowable utilization target.
Result
Estimated required replicas
5
Estimated monthly compute cost
$6,000.00
Peak processing demand
3,000 tokens/s
How to use this calculator
What this calculator does
Estimate model-server replica count and approximate monthly compute cost for peak token throughput and an allowable utilization target.
How to use it
Measure peak requests per minute and equivalent tokens per request. Enter benchmarked replica throughput, a practical utilization limit and the all-in monthly cost of each replica.
What the result means
The replica figure is an initial average-throughput capacity estimate; real latency depends on request bursts, batching, cache, memory and redundancy.
Browse more ai calculators for related estimates and comparisons.
Actual AI costs depend on provider pricing, model choice, token usage, discounts, caching, retries, batching, tool calls, workflow design, and usage volume.
Scenario guidance
When to use this
Use for initial capacity planning of a self-hosted inference service.
Example scenario
A team projects peak traffic for an internal AI assistant.
Inputs that usually matter most
- Peak request arrival rate and effective token workload
- Measured throughput, utilization target and compute costs
Common mistake to avoid
Do not use average daily traffic as peak capacity or assume 100% utilisation leaves no queue.
How to interpret the result
Add resilience capacity and latency measurements before deployment.
Rates and assumptions are illustrative and may differ from real provider billing, business outcomes and service availability.
Formula
Token-throughput equivalence combines prefill and decoding into one capacity measure and can be misleading for latency-sensitive mixed batches. This does not simulate queues, GPU memory, per-request burstiness or multi-zone redundancy.
Worked planning example
At 120 requests/minute and 1,500 effective tokens/request, demand is 3,000 tokens/s. A 1,000-token/s replica capped at 70% provides 700 effective tokens/s, requiring five replicas at $1,200 each, or $6,000/month.
Frequently Asked Questions
Can I assume published GPU peak throughput?
No. Benchmark your model and hardware with realistic prompt lengths, batch sizes and quality requirements.
Does this provide high availability?
No. Add replicas for fault tolerance, maintenance and regional redundancy as needed.
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