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CoreWeave vs Fluidstack Comparison

Compare CoreWeave vs Fluidstack features, pricing, and more.

Last updated: November 2026

CoreWeave logo

CoreWeave

6.4/10

Winner

CoreWeave is a GPU-focused cloud that rents NVIDIA GPU and CPU instances, managed Kubernetes, and storage to teams training and serving AI models.

Fluidstack logo

Fluidstack

5.9/10

Fluidstack builds and runs large GPU clusters and custom AI data centers for frontier AI labs and enterprises that train and serve large models.

Feature-by-Feature Comparison

Feature
CoreWeave logo
CoreWeave
Fluidstack logo
Fluidstack
Scores
Overall Rating6.4/105.9/10
Integration6/104/10
Analytics6/105/10
Customization7/108/10
Ease of Use5/104/10
Support7/107/10
Cost6/106/10
Scalability9/1010/10
Security7/105/10
Pricing
Free planNoNo
Cheapest paid planContact for pricingContact for pricing
Estimated cost for 10 usersContact for pricingContact for pricing
Features
API and CLINot listed
Managed DatabasesNot listed
Managed WordPress
Multiple Regions
Object StorageNot listed
Uptime SLANot listed
Serverless FunctionsNot listed
Managed Kubernetes
Dedicated Servers
Cloud ComputeNot listed
Content Delivery NetworkNot listed
Shared Hosting

Which One Should You Choose?

CoreWeave logo
Why choose CoreWeave

  • Higher Integration score (6/10 vs 4/10)
  • Higher Security score (7/10 vs 5/10)
  • Better fit for developers (7/10 vs 4/10)

Fluidstack logo
Why choose Fluidstack

  • Higher Customization score (8/10 vs 7/10)
  • Higher Scalability score (10/10 vs 9/10)

Pros & Cons

CoreWeave logo
CoreWeave

Pros

  • Free internet egress and internal data transfer, which lowers the cost of moving large datasets and model checkpoints.
  • Large inventory of current NVIDIA hardware, from L40S to GB200 NVL72, with InfiniBand for multi-node training.
  • Spot rates are well below on-demand rates, for example $19.71 versus $49.24 per hour for an 8-GPU H100 node, and committed discounts reach up to 60%.
  • The CKS control plane and SUNK Slurm scheduler are free, so you pay only for compute.
  • A Terraform and OpenTofu provider manages clusters, VPCs, storage, and inference as code.

Cons

  • No free tier or trial credits, and minimum spend is reported to be high even for light use.
  • No managed databases, serverless functions, or CDN, so a second cloud is often needed.
  • Regions are concentrated in North America and Europe, with limited Asia-Pacific coverage.
  • The best pricing usually requires multi-year contracts and an enterprise sales process.
  • Few public user reviews are available on G2 or Gartner to validate claims.

Fluidstack logo
Fluidstack

Pros

  • Can build and deliver capacity at gigawatt scale, which is why Anthropic chose it for its Texas and New York data centers.
  • Runs managed Slurm and Kubernetes on bare metal, so training teams do not have to operate the cluster themselves.
  • SemiAnalysis gave its GPU clusters a ClusterMAX Gold rating.
  • Heavily funded, including an $830M Series A in January 2026, which lowers the risk that the supplier fails.

Cons

  • There is no public rate card or self-serve signup, so pricing requires a sales quote.
  • Public documentation on APIs, storage and compliance certifications is scarce.
  • Third-party sources say its GPU catalog is narrower than marketplace providers and that on-demand billing is per hour.
  • It offers no general web hosting, managed databases or app platform services.

Not sold on either?

Frequently Asked Questions

CoreWeave scores higher on our AI Software criteria: 6.4/10 against 5.9/10 for Fluidstack. The largest gap is in Integration: 6/10 for CoreWeave and 4/10 for Fluidstack.

No, neither CoreWeave nor Fluidstack lists a free plan.

CoreWeave is the better fit for developers: we rate it 7/10 for them, against 4/10 for Fluidstack.

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