Practical guide
Estimate AWS vs GCP GPU Costs by GPU-Hour
Compare user-entered GPU-hour rates for matched accelerator workloads; host, storage, and transfer costs need a separate budget.
By StackCalcs · Updated · Sources checked
Match the GPU-hours first
Use the same accelerator model and GPU count on each side. For example, four accelerators running for 100 hours each require 400 GPU-hours. Enter 400 as the quantity and the current quoted per-GPU-hour amount for each provider in the AWS vs GCP GPU cost calculator. Its subtotal is 400 multiplied by each entered rate.
Keep host charges separate
The calculator compares user-entered GPU rates only; it does not add a VM, CPU, memory, boot disk, local SSD, network transfer, or idle time. Confirm whether each quote is for the GPU alone or already includes the whole machine, and enter like-for-like amounts in the two rate fields. Budget any excluded components separately.
Make the scenario reproducible
Record the accelerator model, GPU count, region, source quote, and retrieval date beside each entered rate. Compare the same currency and billing interval, then vary GPU-hours for short and long jobs. This is a rate-and-quantity comparison, not a claim that different accelerators deliver equal throughput.
Is this a provider quote?
No. The comparison uses the two hourly rates you enter and the stated GPU-hours; confirm the current offer directly with each provider.
Official sources
- https://aws.amazon.com/ec2/instance-types/accelerated-computing/
- https://cloud.google.com/products/compute/gpus-pricing