CoreWeave vs Vast.ai
A side-by-side comparison of CoreWeave and Vast.ai, two Inference tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
CoreWeave
InferenceThe AI hyperscaler — GPU cloud built for large-scale training and inference.
View CoreWeaveAt a glance
| Attribute | CoreWeave | Vast.ai |
|---|---|---|
| Category | Inference | Inference |
| Pricing | PAID | PAID |
| License | Proprietary | Proprietary |
| Deployment | Cloud | Cloud |
| Platforms (differs) | Web, API | Web, CLI, API |
| Model support | Model-agnostic | Model-agnostic |
| Vendor (differs) | CoreWeave | Vast.ai |
| Capabilities (differs) |
|
|
The honest brief
CoreWeave
Operates at a scale smaller GPU clouds can't match — first to stand up new NVIDIA generations, with nine of the ten top AI model providers as customers.
- Frontier-scale GPU capacity
- First to new NVIDIA generations
- Managed Kubernetes + observability
- Contracted by top AI labs
- Enterprise-oriented; no free tier
- Less self-serve than smaller GPU clouds
- Heavy debt-financed expansion
Vast.ai
Marketplace pricing: independent hosts compete, so GPUs (incl. H100s) often run well below first-party clouds like AWS or GCP.
- Often the cheapest GPUs via marketplace
- Per-second billing, $5 minimum
- On-demand, spot, and reserved options
- Large catalog of GPU types
- Host quality and reliability vary
- Not a managed inference platform
- Interruptible instances can be reclaimed
When to pick which
Both cover GPU compute and Model inference / serving.
Pick CoreWeave if you need Fine-tuning / training.
- Fine-tuning / training (secondary capability)
They also differ on:
- Platforms
- Web, API · Web, CLI, API