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Ori Industries vs FluidStack

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

Quick Verdict

3.5/5

Ori Industries

0 reviews

3.6/5

FluidStack

0 reviews

FluidStack 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. FluidStack aggregates GPU capacity from multiple providers to offer H100, A100, and consumer GPU instances. Pay-as-you-go and reserved capacity. EU and US datacenters with competitive pricing.

Ori Industries

Ori Industries

Distributed GPU infrastructure for ML training and inference

FluidStack

FluidStack

Enterprise GPU cloud at competitive pricing

Overview
Rating3.5 (0 reviews)3.6 (0 reviews)✓
Pricing modelpaidusage-based
Starting priceFrom $0.83/mo✓From $1.3/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 cloudAI labs and platform teams committing to 8-10k+ GPUs for training or heavy inference who want managed Slurm/Kubernetes, per-GPU-hour transparency, and a hands-on infrastructure partner
Specifications (entry plan)
CPU cores8 vCPU—
RAM45 GB—
Storage300 GB—
Bandwidth——
SLA uptime——
Data-center count15—
€/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
Canada, Netherlands, Norway, Sweden
Tags
Tags
hourly billinggpu availableeu datacenter
hourly billinggpu availableeu datacenterus datacenter
Visit Ori Industries →Visit FluidStack →

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 →

FluidStack

Pros

  • + Published per-GPU-hour rate card with no egress or ingress fees
  • + Fully managed Slurm and Kubernetes on bare metal with 24/7 engineering support
  • + Scales from 8 GPUs on-demand to 10k+ reserved — cluster sizes most clouds cannot match quickly
  • + EU capacity in the Netherlands and Nordics for data-residency-sensitive training
  • + Engineering response times measured in hours by SemiAnalysis during ClusterMAX testing

Cons

  • - Aggregated third-party capacity means hardware and day-one polish vary by deployment
  • - Contract-first commercial model — 8-GPU on-demand floor, 256-GPU reserved floor, no free tier
  • - No public uptime SLA, datacenter list, or documentation library
  • - Reactive software supply chain security — unpatched NVIDIA container toolkit found at cluster handover in evaluation
  • - Track record is short relative to the scale of its recent customer commitments
View full FluidStackreview →

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