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CloudGPU vs FluidStack: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for CloudGPU and FluidStack. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Provider type
Specialist
Specialist
Founded
2019
Headquarters
San Francisco, CA
Billing model
On-demand (per-minute)
Enterprise contracts (contact sales)
Min commitment
None
Enterprise minimum
Support tier
Community
Enterprise
Regions
1 regions
1 regions

Strengths & Best For

CloudGPU

CloudGPU rents on-demand GPUs billed per minute, with root SSH access and templates for Ollama, JupyterLab, ComfyUI and LLaMA-Factory. Prices come from CloudGPU's public price feed.

Strengths
  • Per-minute billing — pay only for what you use
  • Root SSH access on every instance
  • Ready-to-use templates: Ollama, JupyterLab, ComfyUI, LLaMA-Factory
  • Wide consumer and data-center GPU selection
Weaknesses
  • Smaller provider — limited scale vs hyperscalers
  • No enterprise SLAs or compliance certifications
  • Region information not published per instance
Best For
Developers wanting per-minute billing with no commitmentTeams running Ollama or ComfyUI workloadsCost-sensitive inference and fine-tuning
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CloudGPU Rating

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FluidStack

FluidStack has pivoted from a GPU cloud aggregator to a vertically-integrated AI infrastructure builder with a mission to ensure democracy wins the AI race. The company is building hundreds of gigawatts of solar-powered compute, constructing 250 MW data centers in six months from breaking ground, and onshoring manufacturing for compute and power infrastructure. Closed-loop cooling (water recirculates indefinitely), millions invested in local communities, and off-grid solar development. No public GPU pricing page — contact for enterprise capacity.

Strengths
  • Vertically-integrated AI infrastructure at gigawatt scale
  • Closed-loop cooling — water recirculates indefinitely
  • Off-grid solar development for sustainable compute
  • 250 MW data centers built in 6 months from breaking ground
  • Onshored manufacturing for compute and power infrastructure
Weaknesses
  • No self-serve on-demand pricing — enterprise contracts only
  • Pivoted away from consumer/SMB GPU cloud
  • Limited public information on current GPU catalog and pricing
Best For
Enterprise teams needing large-scale dedicated GPU capacityOrganizations prioritizing sustainable AI infrastructureLong-term capacity commitments at scale
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Live GPU Pricing

GPU Model
RTX 3090
$0.29
$0.38
V100 32GB
$0.35
$1.50
RTX 4090
$0.39
$0.65
RTX 5090
$0.69
$1.30
A100 40GB
$0.79
$5.60
A100 80GB
$1.59
$8.50

Green = lower price. On-demand hourly rates. Updated every 15 minutes.

Region Coverage

Popular Comparisons

Key differences

CloudGPU

On-demand GPUs billed per minute — RTX 3090 to A100, root SSH, Ollama and ComfyUI templates

FluidStack

Building compute faster than anyone — hundreds of GW solar, 250 MW data centers in 6 months

AttributeCloudGPUFluidStack
Provider typespecialistspecialist
Billing modelOn-demand (per-minute)Enterprise contracts (contact sales)
Min commitmentNoneEnterprise minimum
Regions1 (Global)1 (US)
Support tierCommunityEnterprise
Best forDevelopers wanting per-minute billing with no commitment, Teams running Ollama or ComfyUI workloadsEnterprise teams needing large-scale dedicated GPU capacity, Organizations prioritizing sustainable AI infrastructure
Founded / HQ · 2019 · San Francisco, CA