Ori Industries vs Beam Cloud
A detailed comparison to help you choose between Ori Industries and Beam Cloud.
Quick Verdict
3.5/5
Ori Industries
0 reviews
3.6/5
Beam Cloud
0 reviews
Beam Cloud is rated higher (3.6 vs 3.5). 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. Beam Cloud provides serverless GPU and CPU compute for AI model serving and data pipelines. Scale to zero when not running. Python SDK for easy integration. Pay only for compute used.
Ori Industries Distributed GPU infrastructure for ML training and inference | Beam Cloud Serverless GPU infrastructure with per-second billing and instant scaling | |
|---|---|---|
| Overview | ||
| Rating | 3.5 (0 reviews) | 3.6 (0 reviews)✓ |
| Pricing model | paid | freemium |
| Starting price | From $0.83/mo | Free tier available✓ |
| Best for | 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 | Teams shipping AI inference, agent sandboxes, and spiky GPU workloads who want per-second pricing and the option to self-host or run on their own cloud credits. |
| Specifications (entry plan) | ||
| CPU cores | 8 vCPU | — |
| RAM | 45 GB | — |
| Storage | 300 GB | — |
| Bandwidth | — | — |
| SLA uptime | — | — |
| Data-center count | 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 | 15+ regions claimed (unlisted); UK region confirmed at Kao Data Harlow | — |
| Tags | ||
| Tags | hourly billinggpu availableeu datacenter | free tiergpu availableus datacenterapi access |
| Visit Ori Industries → | Visit Beam Cloud → | |
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
Beam Cloud
Pros
- + Aggressive GPU pricing: H100 PCIE from $1.83/hr on-demand, RTX 4090 serverless at $0.000192/sec
- + Free Developer tier with $30 compute credits every month and no mandatory production subscription
- + Open-source beta9 runtime (AGPL-3.0) with self-host and BYOC on AWS/GCP/Azure
- + Millisecond billing with scale-to-zero; sandboxes with GPU support and GPU checkpoint restore
- + Published per-second and per-hour rates with a transparent cost calculator
Cons
- - No published uptime SLA; young company with a small team behind it
- - Multiple billing units (per-second, per-hour, per-core-second, management fees) make comparison hard
- - Cold-start figures are vendor claims; uncached large images and weight downloads are slower
- - Managed fleet's regional footprint is not published; BYOC assumes you already run a cloud account
- - Container platform, not a VPS — no bare-metal root or kernel-level control on the serverless line
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