Vast.ai vs CoreWeave
A detailed comparison to help you choose between Vast.ai and CoreWeave.
Quick Verdict
4.2/5
Vast.ai
65 reviews
3.8/5
CoreWeave
252 reviews
Vast.ai is rated higher (4.2 vs 3.8). P2P GPU marketplace connecting researchers and developers with spare compute capacity. Offers rented GPUs at lower rates than centralized cloud providers, ideal for ML training, rendering, and batch processing. CoreWeave is a purpose-built GPU cloud for AI — 40,000+ NVIDIA GPUs including H100, A100, and RTX. Used by OpenAI, Mistral, and Cohere. Kubernetes-native and connected to NVIDIA.
Vast.ai Rent GPUs from individuals for 2-10x cheaper compute | CoreWeave Purpose-built cloud for AI and GPU workloads | |
|---|---|---|
| Overview | ||
| Rating | 4.2 (65 reviews)✓ | 3.8 (252 reviews) |
| Pricing model | usage-based | paid |
| Starting price | Free tier available✓ | From €200/mo |
| Best for | Machine learning researchers, indie game developers, and budget-conscious teams running non-critical batch workloads who can tolerate occasional interruptions. | AI companies and research organizations needing large-scale GPU compute for model training |
| Specifications (entry plan) | ||
| CPU cores | 0 vCPU | — |
| RAM | 0 GB | — |
| Storage | 0 GB | — |
| Bandwidth | 0 TB/mo | — |
| SLA uptime | — | — |
| Data-center count | 0 | — |
| Features | ||
| IPv6 | ||
| DDoS protection | ||
| Automated backups | ||
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ✓ | |
| Free tier | ||
| Data-center locations | ||
| Regions | Global — distributed hosts | — |
| Tags | ||
| Tags | hourly billinggpu availableeu datacenterus datacenterapac datacenter | hourly billinggpu availableus datacenterapi accesskubernetes support |
| Visit Vast.ai → | Visit CoreWeave → | |
Vast.ai
Pros
- + Achieve significant cost savings compared to major cloud providers
- + Access diverse GPU types without long-term commitments
- + Deploy instances in seconds with minimal setup
- + Bid competitively to secure even lower rates
Cons
- - Provider uptime and reliability vary; some instances may disconnect unexpectedly
- - Network speeds and hardware quality inconsistent across providers
- - Limited enterprise support and SLAs compared to traditional cloud
CoreWeave
Pros
- + Largest GPU cloud specialized for AI workloads
- + NVIDIA partnership — direct GPU access
- + Kubernetes-native architecture
Cons
- - Enterprise pricing and contracts required
- - Less accessible for individual developers
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