RunPod
Top pickH100s from about $1.99/hr, running in under a minute.
RunPod rents GPUs by the second across a global fleet, with two useful modes: persistent Pods for interactive work, and Serverless for inference that scales to zero between requests so an idle endpoint costs nothing. H100 capacity sits around $1.99 per hour against roughly $12.29 on AWS. The developer experience is the real draw — bring a Docker image, pick a GPU, and you are running in well under a minute, with no quota request and no commitment. It has become the default place people go to test whether a model works before deciding where it should live.
What it does well
- +Roughly a sixth of AWS on-demand H100 pricing for the same silicon
- +Per-second billing with no commitment — start and stop freely
- +Serverless scale-to-zero means idle inference endpoints cost nothing
- +Standard Docker images, so workloads stay portable to any other provider
Where it falls short
- −Community Cloud runs on partner hardware — reliability varies by host
- −Not the venue for workloads needing formal enterprise compliance attestations
- −Capacity for the newest GPUs can be tight at peak times
- −A hosted service: your data and your model sit on someone else's machine
RunPod as an alternative to
Where RunPod shows up in our comparisons, and how it ranked.
RunPod head-to-head
Straight comparisons against the tools people weigh it against.