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FluidStack vs CoreWeave: GPU Compute Price Comparison

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for FluidStack and CoreWeave. Updated July 2026.

Provider Overview

Provider type
Specialist
Specialist
Founded
2019
2017
Headquarters
London, UK
Roseland, NJ
Billing model
On-demand, Spot, Reserved
On-demand, Reserved
Min commitment
None
None
Support tier
Standard → Enterprise
Standard → Enterprise
Regions
4 regions
3 regions

Strengths & Best For

FluidStack

FluidStack aggregates H100, A100, and consumer GPU capacity from data centers across the US and EU, offering competitive bulk pricing and flexible contracts for AI training and LLM fine-tuning workloads. Spot GPU rental is available alongside on-demand and reserved options, making it a cost-effective choice for teams with variable compute needs. A strong pick for EU-based teams wanting broad GPU availability without committing to a single provider.

Strengths
  • Competitive pricing
  • EU/US coverage
  • Spot availability
  • Flexible contracts
Best For
Cost-sensitive trainingEU-based teamsFlexible workloads
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CoreWeave

CoreWeave is a purpose-built GPU cloud offering H100 SXM5, H200, and A100 clusters with InfiniBand and NVLink interconnects for large-scale AI training and LLM fine-tuning. On-demand and reserved H100 instances are available across US East, US West, and EU regions, with some of the highest GPU density and lowest latency networking of any specialist cloud. A top choice for AI labs and enterprises running multi-node distributed training at scale.

Strengths
  • Highest GPU density
  • InfiniBand networking
  • Kubernetes-native
  • Fast provisioning
Best For
Large-scale AI trainingLLM fine-tuningHigh-throughput inference
Visit CoreWeave

Live GPU Pricing

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Region Coverage

FluidStack4 regions
US-EastUS-WestEU-WestEU-Central
CoreWeave3 regions
US-EastUS-WestEU-West

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