Paperspace (Gradient) vs Google Cloud (GCP)
A detailed comparison to help you choose between Paperspace (Gradient) and Google Cloud (GCP).
Quick Verdict
3.4/5
Paperspace (Gradient)
0 reviews
3.9/5
Google Cloud (GCP)
0 reviews
Google Cloud (GCP) is rated higher (3.9 vs 3.4). M4000 GPU machines from $0.45/hour Known for its data analytics and AI tooling (BigQuery, Vertex AI).
Paperspace (Gradient) ML platform and GPU cloud by DigitalOcean | Google Cloud (GCP) Google's cloud — AI/ML and data analytics focus | |
|---|---|---|
| Overview | ||
| Rating | 3.4 (0 reviews) | 3.9 (0 reviews)✓ |
| Pricing model | freemium | pay-as-you-go |
| 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. | Data- and ML-centric teams already building on BigQuery, GKE, or Vertex AI, and workloads that need a published multi-zone SLA or data residency in one of 43 regions. |
| Features | ||
| IPv6 | ✓ | |
| DDoS protection | ||
| Automated backups | ||
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ||
| Tags | ||
| Tags | free tierhourly billinggpu availableus datacenterapi access | free tierhourly billingipv6gpu availables3 compatibleeu datacenterus datacenterapac datacenterapi accessterraform providerkubernetes supportarm processors |
| Visit Paperspace (Gradient) → | Visit Google Cloud (GCP) → | |
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
Google Cloud (GCP)
Pros
- + Best published SLA set in the comparison: 99.99% multi-zone, 99.9% single-instance
- + 43 regions and 130 zones with per-region price variance you can trade against latency
- + Per-second billing and three discount levers — Spot up to 91% off, commitments up to 55–70%
- + Live migration through host maintenance; deep integration with GKE, BigQuery, Vertex AI
- + Real free entry: $300 trial credit that never auto-charges, plus an Always Free e2-micro VM
Cons
- - Poor price-performance for plain VMs versus European VPS specialists; no bundled transfer
- - Egress is expensive ($0.12/GiB Premium) and billed as a separate line item
- - Sustained use discounts don't apply to E2 and N4 — the families entry buyers choose
- - Budgets alert but don't cap Compute Engine spend; human support costs from $29/month
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