Paperspace (Gradient) vs CoreWeave
A detailed comparison to help you choose between Paperspace (Gradient) and CoreWeave.
Quick Verdict
3.4/5
Paperspace (Gradient)
0 reviews
3.6/5
CoreWeave
0 reviews
CoreWeave is rated higher (3.6 vs 3.4). M4000 GPU machines from $0.45/hour 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.
Paperspace (Gradient) ML platform and GPU cloud by DigitalOcean | CoreWeave Purpose-built cloud for AI and GPU workloads | |
|---|---|---|
| Overview | ||
| Rating | 3.4 (0 reviews) | 3.6 (0 reviews)✓ |
| Pricing model | freemium | usage-based |
| Starting price | Free tier available | Free tier available |
| Best for | Individuals, students and existing users wanting managed GPU notebooks and cheap older-generation GPU machines without building infrastructure. | AI labs and ML teams running sustained training or high-throughput inference where dedicated GPUs, NVLink/InfiniBand and a real uptime SLA justify premium pricing |
| Features | ||
| IPv6 | ||
| DDoS protection | ||
| Automated backups | ||
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ✓ | |
| Data-center locations | ||
| Regions | — | 50+ data centers across the United States and Europe |
| Tags | ||
| Tags | free tierhourly billinggpu availableus datacenterapi access | hourly billinggpu availableus datacenterapi accesskubernetes support |
| Visit Paperspace (Gradient) → | Visit CoreWeave → | |
Paperspace (Gradient)
Pros
- + Cheap GPU access on older cards: M4000 at $0.45/hour, P4000 at $0.51/hour
- + Free tier plus $8/month Pro plan makes managed GPU notebooks accessible
- + Machines include persistent storage and free unlimited bandwidth
- + Notebook-to-deployment ML workflow (notebooks, workflows, deployments) in one product
- + Amsterdam region gives EU machine placement
Cons
- - Being sunset into DigitalOcean's platform — standalone roadmap and APIs already replaced
- - ML platform (Notebooks/Deployments/Workflows) runs in NY2 only; no APAC presence
- - Newest GPUs (A100/H100/RTX5000) are NY2-only; rate cards have changed recently
- - Team tiers cap at 2-5 members; storage overages at $0.29/GB
CoreWeave
Pros
- + Published public pricing for the main GPU lines — H100 node $49.24/hr on-demand, $19.71/hr spot — which is more transparency than most GPU clouds offer
- + Broad NVIDIA catalog (L40 to GB300 NVL72) with managed Kubernetes and Slurm control planes included and InfiniBand at up to 3,200 Gbps
- + Contractual reliability: 99.9% cross-region SLA (99% single region) with service credits, plus SOC 2 and ISO posture
- + 50+ data centers across the US and Europe, and S3-compatible object storage for training data and checkpoints
Cons
- - Premium per-GPU rates versus spot resellers — often 2-3x higher per GPU-hour for comparable silicon
- - Whole 8-GPU nodes are the default unit of sale; some configurations still route through sales and component pricing (classic line) complicates the bill
- - No cheap entry tier and no general-purpose cloud story — the fit is poor for anything that is not GPU-bound
- - Counterparty concentration: heavy NVIDIA dependence plus the debt-financed build-out of a young public company
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