FluidStack vs Modal: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for FluidStack and Modal. 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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Modal is a serverless GPU cloud purpose-built for AI workloads, offering per-second billing with zero idle cost. GPU catalog: B300, B200, H200 SXM, H100 SXM5, RTX PRO 6000, A100 80GB, A100 40GB, L40S, A10, L4, T4. Starter and Team plans include free monthly compute credits. Multi-node training up to 128 B200s with 3,200 Gbps InfiniBand. Python-native SDK. SOC 2 and HIPAA compliant.
- B300, B200, H200 — competitive Blackwell/Hopper pricing
- Per-second billing with zero idle cost — no minimum hours
- Multi-node training up to 128 B200s with 3,200 Gbps InfiniBand
- Python-native SDK — no infra management
- Starter and Team plans include free monthly compute credits
- SOC 2, HIPAA, data residency controls
- Less control over underlying infrastructure vs raw VMs
- Pricing can be unpredictable for sustained high-throughput workloads
- Smaller GPU catalog than dedicated cluster providers
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Key differences
FluidStack
Building compute faster than anyone — hundreds of GW solar, 250 MW data centers in 6 months
Modal
B300, B200, H200, H100 — serverless GPU, per-second billing