Vast.ai alternatives
Vast.ai is a marketplace that often posts the lowest headline rate, but host quality, reliability, and networking vary because supply is pooled from third parties. If you want consistent datacenter reliability, enterprise networking, or a managed experience, a first-party cloud is a better fit. Check the live table above for who is competitive with Vast on the exact GPU you want today.
Alternatives with live on-demand prices
| Provider | H100 | A100 | RTX 4090 | |
|---|---|---|---|---|
| RunPod | $2.89 | $1.39 | $0.69 | Visit → |
| Lambda | $3.29 | $1.99 | – | Visit → |
| CoreWeave | $6.16 | $2.70 | – | Visit → |
| DataCrunch | $3.25 | $1.29 | – | Visit → |
| Hyperstack | $2.50 | $1.35 | – | Visit → |
Cheapest verified on-demand rate per provider from today's snapshot; "–" means the provider does not list that GPU (or we do not track it yet).
When each alternative wins
RunPod
You want a marketplace-style range of cards but with a vetted Secure Cloud option, per-second billing, and serverless inference in one place.
Lambda
You need consistent datacenter reliability and one-click InfiniBand clusters for sustained training rather than variable marketplace hosts.
CoreWeave
You are running production, large-scale workloads that require enterprise networking and predictable capacity a marketplace cannot guarantee.
DataCrunch
You want low on-demand datacenter rates with more reliability than pooled community supply, especially for European single-node training.
Hyperstack
You want transparent on-demand and reserved datacenter pricing and consistent European capacity instead of variable marketplace availability.
FAQ
Vast usually posts among the lowest headline rates because it is a marketplace, but on any given day a lean datacenter provider like DataCrunch or a community tier like RunPod's can match or beat it on a specific card. Compare the live table above.
When reliability, consistent networking, or compliance matter more than the lowest rate. Marketplace host quality varies, so production serving and multi-GPU training are usually safer on a datacenter cloud like Lambda or CoreWeave.