FluidStack vs Paperspace: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for FluidStack and Paperspace. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
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.
- 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
- 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
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Paperspace (now part of DigitalOcean) offers A100, H100, A6000, A5000, A4000, and RTX 5000 GPU instances alongside Gradient, its managed ML platform with Jupyter notebooks, experiment tracking, and one-click model deployment. Monthly dedicated options available. Gradient plans include a Free tier through paid tiers. A beginner-friendly on-demand GPU cloud with a polished notebook-centric experience, now integrated into the DigitalOcean ecosystem.
- Gradient managed ML platform with Jupyter notebooks
- Simple UI and beginner-friendly onboarding
- H100 on-demand availability
- Free tier available for beginners
- DigitalOcean ecosystem integration
- Acquired by DigitalOcean — Gradient product direction uncertain
- Limited GPU catalog vs specialist providers
- Notebook-centric UX not ideal for production pipelines
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Key differences
FluidStack
Building compute faster than anyone — hundreds of GW solar, 250 MW data centers in 6 months
Paperspace
ML platform with Gradient notebooks and GPU instances — now part of DigitalOcean