Paperspace (Gradient) vs Oracle Cloud (GPU)
A detailed comparison to help you choose between Paperspace (Gradient) and Oracle Cloud (GPU).
Quick Verdict
3.4/5
Paperspace (Gradient)
0 reviews
3.8/5
Oracle Cloud (GPU)
0 reviews
Oracle Cloud (GPU) is rated higher (3.8 vs 3.4). M4000 GPU machines from $0.45/hour Oracle Cloud Infrastructure includes an always-free A1 Arm allocation (2 OCPUs + 12 GB RAM since July 2026, halved from 4 OCPUs + 24 GB) and GPU shapes from ~$2/GPU-hour (A10 VM) to $10/GPU-hour (H100/H200) and $14-15 (B200/B300).
Paperspace (Gradient) ML platform and GPU cloud by DigitalOcean | Oracle Cloud (GPU) Free A1 Arm instances with optional GPU | |
|---|---|---|
| Overview | ||
| Rating | 3.4 (0 reviews) | 3.8 (0 reviews)✓ |
| Pricing model | freemium | freemium |
| 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. | Enterprise and serious training/inference workloads that want bare-metal NVIDIA or AMD GPU clusters at hyperscaler-reliable terms, especially MI300X and A100 value seekers and existing Oracle/database customers |
| Features | ||
| IPv6 | ||
| DDoS protection | ||
| Automated backups | ||
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ||
| Data-center locations | ||
| Regions | — | 50+ regions across 28 countries (NA, SA, EU, MEA, APAC) |
| Tags | ||
| Tags | free tierhourly billinggpu availableus datacenterapi access | free tiergpu availableeu datacenterus datacenterapac datacenterapi accessarm processors |
| Visit Paperspace (Gradient) → | Visit Oracle Cloud (GPU) → | |
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
Oracle Cloud (GPU)
Pros
- + Broadest accelerator lineup of any hyperscaler: NVIDIA Blackwell/Hopper/Ampere plus AMD MI300X/MI355X, VMs and bare metal
- + Below-AWS/Azure on-demand GPU list pricing (H100 $10/GPU-hr, A100 80GB $4, MI300X $6) with published, checkable rates
- + Supercluster-class networking (up to 3,200 Gb/sec RDMA) and large local NVMe per node for training checkpoints
- + Credit-backed compute SLA and a full cloud stack (storage, K8s, databases, S3-compatible object) in 50+ regions
Cons
- - GPU quota and capacity processes can require sales engagement; 8-GPU node minimums on the best shapes
- - OCI console/IAM complexity and thinner community documentation than AWS/GCP
- - The 'up to 220% cheaper' claim is a dated vendor comparison; neoclouds undercut on some shapes
- - Egress, storage, image licensing and commitment terms add to headline GPU rates; free tier is CPU-only
Stay in the loop
Get weekly updates on the best new hosting and infrastructure providers, deals, and comparisons.
No spam. Unsubscribe anytime.