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Paperspace (Gradient) vs Ori Industries

A detailed comparison to help you choose between Paperspace (Gradient) and Ori Industries.

Quick Verdict

3.4/5

Paperspace (Gradient)

0 reviews

3.5/5

Ori Industries

0 reviews

Ori Industries is rated higher (3.5 vs 3.4). M4000 GPU machines from $0.45/hour Ori Industries is a UK AI cloud company offering distributed GPU compute across their own and partner datacenters. Focused on UK and EU compliance for AI model training.

Paperspace (Gradient)

Paperspace (Gradient)

ML platform and GPU cloud by DigitalOcean

Ori Industries

Ori Industries

Distributed GPU infrastructure for ML training and inference

Overview
Rating3.4 (0 reviews)3.5 (0 reviews)✓
Pricing modelfreemiumpaid
Starting priceFree tier available✓From $0.83/mo
Best forIndividuals, students and existing users wanting managed GPU notebooks and cheap older-generation GPU machines without building infrastructure.ML teams and AI products that need current-generation NVIDIA GPUs at low cost with per-minute billing — especially UK/EU buyers wanting H200/H100 capacity on UK soil and organisations exploring a private AI cloud
Specifications (entry plan)
CPU cores—8 vCPU
RAM—45 GB
Storage—300 GB
Bandwidth——
SLA uptime——
Data-center count315✓
€/vCPU/mo—€0.10
€/GB RAM/mo—€0.02
Features
IPv6
DDoS protection
Automated backups
Snapshots
Managed option
Bare metal
GPU available
S3-compatible
Hourly billing
Free tier✓
Data-center locations
Regions—
15+ regions claimed (unlisted); UK region confirmed at Kao Data Harlow
Tags
Tags
free tierhourly billinggpu availableus datacenterapi access
hourly billinggpu availableeu datacenter
Visit Paperspace (Gradient) →Visit Ori Industries →

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
View full Paperspace (Gradient)review →

Ori Industries

Pros

  • + Published, competitive GPU rates (H100 $2.90/h, H200 $3.50/h) with per-minute billing and no ingress or egress fees
  • + Generous per-GPU host resources (24 vCPU / 240 GB RAM / 3 TB storage on single-H100 instances) and preinstalled ML stacks
  • + Real UK data sovereignty option: first UK H200 deployment at Kao Data's Harlow campus (DGX-Ready, renewable-powered)
  • + Single-GPU entry point (V100 $0.83/h) plus serverless Kubernetes, scale-to-zero inference, and 1,000+ GPU private clouds

Cons

  • - No published uptime SLA and limited operational track record — contractual terms must be negotiated
  • - Region list unpublished despite '15+ regions' claims; independent documentation and community coverage are thin
  • - Young, venture-stage company mid-merger with Radiant — roadmap and pricing continuity carry counterparty risk
  • - Compute-and-inference scope only: no managed database or full application platform; no free tier for evaluation
View full Ori Industriesreview →

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