Estimate the total cloud GPU cost for a training or inference workload.
Cloud GPU rental cost is a simple product of GPU count, hours of usage, and the hourly rate for that GPU model — but the choice of GPU model can swing total cost dramatically. This calculator computes your monthly spend for the selected GPU type and shows a side-by-side comparison across A100, H100, RTX 4090, and V100 at the same usage pattern, helping you weigh raw compute cost against each GPU's throughput for your specific workload.
monthly_cost = gpu_count × hours × hourly_rate
The H100 offers substantially higher throughput (especially for transformer workloads via its Transformer Engine), so providers price it higher, though it may still be cheaper per unit of work completed.
The 4090 is popular for cost-sensitive inference and small-scale fine-tuning, but lacks ECC memory, NVLink, and the VRAM capacity of datacenter GPUs like the A100/H100, making it less suited to large-model training.
No, these are compute-only hourly rates. Use the AI Deployment Cost Calculator to add storage, load balancing, and bandwidth costs.