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Ori Industries vs Vultr

A detailed comparison to help you choose between Ori Industries and Vultr.

Quick Verdict

3.5/5

Ori Industries

0 reviews

4.0/5

Vultr

0 reviews

Vultr is rated higher (4.0 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. Vultr is a cloud platform offering VPS, bare metal servers, and Kubernetes hosting across 32 data centers worldwide. Built for developers and businesses needing scalable, reliable compute resources with transparent billing.

Ori Industries

Ori Industries

Distributed GPU infrastructure for ML training and inference

Vultr

Vultr

High-performance cloud infrastructure with global data centers and competitive pricing

Overview
Rating3.5 (0 reviews)4.0 (0 reviews)✓
Pricing modelpaidpaid
Starting priceFrom $0.83/mo✓From $2.5/mo
Best forML 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 cloudTeams needing low-latency compute across multiple continents, API-first fleets, and self-serve GPU or bare metal with predictable billing
Specifications (entry plan)
CPU cores8 vCPU✓1 vCPU
RAM45 GB✓1 GB
Storage300 GB✓10 GB
Bandwidth—1 TB/mo
SLA uptime—100%
Data-center count1534✓
€/vCPU/mo€0.10✓€2.50
€/GB RAM/mo€0.02✓€2.50
Performance
CPU score (sysbench)—4,100
Disk read (fio)—1,800 MB/s
Disk IOPS (4K random)—38,000
Network out—1 Gbps
Latency (TTFB)—24 ms
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
34 regions across North/South America, Europe, Asia, Australia, Africa (see locations page)
Tags
Tags
hourly billinggpu availableeu datacenter
hourly billingnvme storageipv6ddos protectionbackups includedsnapshotsbare metalgpu availables3 compatibleeu datacenterus datacenterapac datacenterterraform providerapi accesswindows available
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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 →

Vultr

Pros

  • + Truly global: 34 regions on six continents from one console, one API, one price list - with per-region test IPs published
  • + Fully published hourly and monthly pricing from $2.50/mo, mature REST API and Terraform provider
  • + 100% network and host-node uptime SLA with credits; standardized platform behavior across every region
  • + Broad self-serve catalog: NVMe optimized VMs, NVIDIA/AMD GPUs, bare metal, managed databases/Kafka, S3-compatible object storage, VKE

Cons

  • - Price-performance trails European leaders: our measured HF 2GB (Amsterdam) had the slowest NVMe storage of six tested providers at a mid-range price
  • - Backups cost 20% of instance price, snapshots bill per GB, Windows and extra egress are add-ons
  • - No refunds in the terms of service; support is ticket-only for self-serve customers
  • - Overlapping instance families (Cloud Compute, VX1, Optimized) make it easy to pick a stale SKU; region count differs across Vultr's own pages (32/33/34)
View full Vultrreview →

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