Vast.ai vs Paperspace (Gradient)
A detailed comparison to help you choose between Vast.ai and Paperspace (Gradient).
Quick Verdict
4.2/5
Vast.ai
65 reviews
4.0/5
Paperspace (Gradient)
195 reviews
Vast.ai is rated higher (4.2 vs 4.0). 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. Paperspace Gradient is a managed ML platform with Jupyter notebooks, managed deployments, and on-demand GPU instances. Acquired by DigitalOcean. From $0.07/hour on M4000 GPUs.
Vast.ai Rent GPUs from individuals for 2-10x cheaper compute | Paperspace (Gradient) ML platform and GPU cloud by DigitalOcean | |
|---|---|---|
| Overview | ||
| Rating | 4.2 (65 reviews)✓ | 4.0 (195 reviews) |
| Pricing model | usage-based | freemium |
| Starting price | Free tier available | Free tier available |
| Best for | Machine learning researchers, indie game developers, and budget-conscious teams running non-critical batch workloads who can tolerate occasional interruptions. | ML students and researchers who want managed GPU notebooks without setting up cloud infrastructure |
| 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 | free tierhourly billinggpu availableus datacenterapi access |
| Visit Vast.ai → | Visit Paperspace (Gradient) → | |
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
Paperspace (Gradient)
Pros
- + Managed Jupyter notebooks with GPU
- + Free tier with CPU notebooks
- + DigitalOcean ecosystem integration
Cons
- - DigitalOcean acquisition created uncertainty
- - Free tier very limited GPU time
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