Lambda vs Ori Industries
A detailed comparison to help you choose between Lambda and Ori Industries.
Quick Verdict
3.7/5
Lambda
0 reviews
3.5/5
Ori Industries
0 reviews
Lambda is rated higher (3.7 vs 3.5). Lambda is a GPU cloud for training and running AI models, offering on-demand NVIDIA GPU instances and reserved clusters for AI teams and researchers. 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.
Lambda On-demand GPU cloud for ML training and inference | Ori Industries Distributed GPU infrastructure for ML training and inference | |
|---|---|---|
| Overview | ||
| Rating | 3.7 (0 reviews)✓ | 3.5 (0 reviews) |
| Pricing model | usage-based | paid |
| Starting price | From $0.69/mo✓ | From $0.83/mo |
| Best for | ML researchers and engineering teams optimizing cost per GPU-hour for training, fine-tuning, and batch inference who can tolerate best-effort capacity. | 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 | 14 vCPU✓ | 8 vCPU |
| RAM | 46 GB✓ | 45 GB |
| Storage | — | 300 GB |
| Bandwidth | — | — |
| SLA uptime | — | — |
| Data-center count | 14 | 15✓ |
| €/vCPU/mo | €0.05✓ | €0.10 |
| €/GB RAM/mo | €0.01✓ | €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 | [US x10 regions, Tokyo, Osaka, India, Germany, Israel] | 15+ regions claimed (unlisted); UK region confirmed at Kao Data Harlow |
| Tags | ||
| Tags | hourly billinggpu availableus datacenterapi access | hourly billinggpu availableeu datacenter |
| Visit Lambda → | Visit Ori Industries → | |
Lambda
Pros
- + Published per-minute GPU pricing with no egress fees
- + Preinstalled ML stack (Lambda Stack) on all images
- + Full cloud API for instance automation
- + Free egress keeps large checkpoint downloads cheap
- + Cluster tier scales from 16 to 2,000+ GPUs for distributed training
Cons
- - No published uptime SLA for on-demand instances
- - Popular H100 configurations sell out regularly
- - One European region (Germany); no Latin America or Australia
- - No managed databases, snapshots, or backup products
- - Filesystem billing continues after instance deletion
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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