Oracle Cloud (GPU) vs Ori Industries
A detailed comparison to help you choose between Oracle Cloud (GPU) and Ori Industries.
Quick Verdict
3.8/5
Oracle Cloud (GPU)
0 reviews
3.5/5
Ori Industries
0 reviews
Oracle Cloud (GPU) is rated higher (3.8 vs 3.5). 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). 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.
Oracle Cloud (GPU) Free A1 Arm instances with optional GPU | Ori Industries Distributed GPU infrastructure for ML training and inference | |
|---|---|---|
| Overview | ||
| Rating | 3.8 (0 reviews)✓ | 3.5 (0 reviews) |
| Pricing model | freemium | paid |
| Starting price | Free tier available✓ | From $0.83/mo |
| Best for | 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 | 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 | 99.9% | — |
| Data-center count | 50✓ | 15 |
| €/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 | 50+ regions across 28 countries (NA, SA, EU, MEA, APAC) | 15+ regions claimed (unlisted); UK region confirmed at Kao Data Harlow |
| Tags | ||
| Tags | free tiergpu availableeu datacenterus datacenterapac datacenterapi accessarm processors | hourly billinggpu availableeu datacenter |
| Visit Oracle Cloud (GPU) → | Visit Ori Industries → | |
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
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
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